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<title>AI Research Atlas</title><link>https://ai-tracking.sevensa.nl/en/</link>
<description>Curated mathematics results with evidence status</description>
<item>
<title>Local smoothing, Kakeya and restriction</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/kakeya-local-smoothing/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/kakeya-local-smoothing/</guid>
<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Imagine moving a very thin needle in every direction while using almost no space. The Kakeya conjecture asks how small such a set can be. An OpenAI system reports a route to resolving this and related questions about waves. Source: https://openai.com/index/building-scientific-understanding-with-academic-communities/</description>
</item>
<item>
<title>A challenge to the Exponential Time Hypothesis</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/exponential-time-hypothesis/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/exponential-time-hypothesis/</guid>
<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Some puzzles seem to get overwhelmingly harder as they grow. A new AI-generated argument claims that a famous prediction about how quickly this happens is wrong. Source: https://openai.com/index/building-scientific-understanding-with-academic-communities/</description>
</item>
<item>
<title>Can smooth fluid flow become singular?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/navier-stokes-singularity/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/navier-stokes-singularity/</guid>
<pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate>
<description>Picture a whirlpool spinning ever faster into an increasingly tiny region. Can the equations describing water or air become infinitely intense from a smooth start? OpenAI says its model constructed such an example. Source: https://openai.com/index/navier-stokes-solution/</description>
</item>
<item>
<title>Fermat's Last Theorem, checked by a machine</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/fermat-formal-proof/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/fermat-formal-proof/</guid>
<pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate>
<description>There are no positive whole numbers a, b and c with aⁿ + bⁿ = cⁿ for n bigger than two. Humans proved this in the 1990s. Claude's new achievement is turning the proof into instructions a computer can check. Source: https://www.anthropic.com/research/formalizing-fermats-last-theorem</description>
</item>
<item>
<title>More Riemann zeros on the critical line</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/riemann-zeros-proportion/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/riemann-zeros-proportion/</guid>
<pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate>
<description>Prime numbers follow a mysterious pattern. Claude did not solve the famous Riemann Hypothesis, but its researchers say it raised the minimum known share of certain zeros lying on the crucial line from 41.6% to 67.2%. Source: https://www.anthropic.com/research/riemann-zeta</description>
</item>
<item>
<title>Does repeating a quantum game make cheating harder?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/quantum-parallel-repetition/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/quantum-parallel-repetition/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>Testing a strategy once leaves room for luck. Repeating the test should reduce the chance of passing every round. Quantum players may share entanglement, so proving the expected improvement requires special care. Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How hard is it to compute the permanent?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/permanent-arithmetic-lower-bounds/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/permanent-arithmetic-lower-bounds/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>The determinant is a familiar way to combine a square matrix. Its cousin, the permanent, sums similar products without alternating signs. That small-looking change leads to a very different computational problem. Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>Can every group be approximated by finite permutations?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/non-sofic-groups/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/non-sofic-groups/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>A group describes reversible operations and how they combine. One way to understand an infinite group is to imitate small portions using permutations of a finite set. Soficity asks whether increasingly accurate imitations of this kind are always possible. Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How long can colors hide a monochromatic triangle?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/multicolor-ramsey-triangles/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/multicolor-ramsey-triangles/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>Connect every pair of people and give each connection a color. How large can the group become before some three people have all three connections in the same color? Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How tightly can spheres fill high-dimensional space?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/high-dimensional-sphere-packing/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/high-dimensional-sphere-packing/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>Packing identical oranges is familiar in three dimensions. Replace the room by a space with many independent coordinates and the same question becomes much harder: how much of the space can disjoint equal balls occupy? Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How dense can a graph be without creating a forbidden pattern?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/extremal-graph-conjectures/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/extremal-graph-conjectures/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>A graph is a network of points and links. Add enough links and particular patterns become unavoidable. Extremal graph theory asks where that transition occurs. Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How large can a convex body with one interior lattice point be?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/ehrhart-volume-conjecture/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/ehrhart-volume-conjecture/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>Take a solid shape without dents and place it on an integer grid. Suppose its center of mass is the only grid point strictly inside. How much volume can the shape have? Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>Does an operator algebra remember the group behind it?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/connes-rigidity-counterexample/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/connes-rigidity-counterexample/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>Imagine turning a structure into a complicated measuring device. Can you reconstruct the original structure from that device alone, or can different originals produce indistinguishable devices? This is the intuition behind a rigidity question. Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How close can we get to the nearest lattice point?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/closest-vector-approximation/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/closest-vector-approximation/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>Picture a regular grid extended into many dimensions. Given a point between grid points, finding the closest grid point is easy to describe but can be computationally difficult. Even an approximately nearest point may be hard to find. Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>How much information can a robust code contain?</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/binary-spherical-code-bounds/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/binary-spherical-code-bounds/</guid>
<pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
<description>A communication system adds redundancy so a damaged message can still be recognized. The codewords must remain sufficiently different. How many distinguishable messages fit when every pair needs a minimum separation? Source: https://openai.com/index/ten-advances-in-mathematics/</description>
</item>
<item>
<title>A new construction for the Erdős unit-distance problem</title>
<link>https://ai-tracking.sevensa.nl/en/discoveries/erdos-unit-distance/</link>
<guid isPermaLink="true">https://ai-tracking.sevensa.nl/en/discoveries/erdos-unit-distance/</guid>
<pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate>
<description>Put many points on paper and connect every pair exactly one unit apart. How many lines can you get? An OpenAI model found examples that beat a long-standing guess about the best arrangement. Source: https://openai.com/index/model-disproves-discrete-geometry-conjecture/</description>
</item>
<item><title>[Research note] Run AI Models for Edge Application Development with Just a Few Commands</title><link>https://ai-tracking.sevensa.nl/en/research/signal-cfb4189f31938d74/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-cfb4189f31938d74/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/run-ai-models-for-edge-application-development-with-just-a-few-commands</description></item><item><title>[Research note] From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bafa68df361fc999/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bafa68df361fc999/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/from-synthetic-enterprise-data-evaluations-to-real-microsoft-copilot-ai-confidence</description></item><item><title>[Research note] Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b0afceb347e7b188/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b0afceb347e7b188/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/build-specialized-agents-on-a-stack-you-control-with-nvidia-nemoclaw</description></item><item><title>[Research note] Build a Validated Kubernetes Runtime for NVIDIA Dynamo</title><link>https://ai-tracking.sevensa.nl/en/research/signal-869014b81cc7bf41/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-869014b81cc7bf41/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/build-a-validated-kubernetes-runtime-for-nvidia-dynamo</description></item><item><title>[Research note] Making it easier for websites to express AI training preferences</title><link>https://ai-tracking.sevensa.nl/en/research/signal-84abd1857de5dfd9/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-84abd1857de5dfd9/</guid><description>Unreviewed source report. Original: https://openai.com/index/helping-websites-express-ai-training-preferences</description></item><item><title>[Research note] Fair use benefits everyone</title><link>https://ai-tracking.sevensa.nl/en/research/signal-574dbaf7fc8731e4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-574dbaf7fc8731e4/</guid><description>Unreviewed source report. Original: https://openai.com/index/fair-use-benefits-everyone</description></item><item><title>[Research note] nemotron-halloween</title><link>https://ai-tracking.sevensa.nl/en/research/signal-037154e824aaff25/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-037154e824aaff25/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/nvidia/nemotron-halloween</description></item><item><title>[Research note] Upcycling Language Models for Multiple Specialized Domains</title><link>https://ai-tracking.sevensa.nl/en/research/signal-f20ff3d5d3c07a1c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-f20ff3d5d3c07a1c/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40091</description></item><item><title>[Research note] TouchBridge: Tactile-Conditioned Human-to-Robot Transfer for Dexterous Manipulation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e81b2758061d5f49/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e81b2758061d5f49/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40349</description></item><item><title>[Research note] DynaRev: Benchmarking Web Agents under Dynamic Goal Revision</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e730f7daf893671e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e730f7daf893671e/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40133</description></item><item><title>[Research note] Granite Switch 4.1.1 — Update models like you update software</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e508e29ae812fe58/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e508e29ae812fe58/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/ibm-granite/granite-switch-4-1-1</description></item><item><title>[Research note] RoboAtom: Large-scale Atomic-Action Supervision for Robot Learning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-df20aea384321bf2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-df20aea384321bf2/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40207</description></item><item><title>[Research note] Factorized Representations of Concurrent Temporal Variables in Pretrained Language Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-dc6e4af55ac4f5d3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-dc6e4af55ac4f5d3/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40328</description></item><item><title>[Research note] Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In</title><link>https://ai-tracking.sevensa.nl/en/research/signal-dad16818e14abc33/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-dad16818e14abc33/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40588</description></item><item><title>[Research note] Locating and Closing Information Gaps in Multi-Agent Systems</title><link>https://ai-tracking.sevensa.nl/en/research/signal-da7b4bc6fac8b91b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-da7b4bc6fac8b91b/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40186</description></item><item><title>[Research note] How Ropes &amp; Gray is developing AI for transactional diligence</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d948735545c20cf3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d948735545c20cf3/</guid><description>Unreviewed source report. Original: https://openai.com/index/ropes-gray-ai-diligence</description></item><item><title>[Research note] AI Cosmos: An Agentic Infra for Situated Learning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ccfb419c9e067833/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ccfb419c9e067833/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40031</description></item><item><title>[Research note] Difficulty Calibration Across Time for Membership Inference in Diffusion Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c8da1995d1125b97/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c8da1995d1125b97/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40616</description></item><item><title>[Research note] Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c37d4b7dab3a156e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c37d4b7dab3a156e/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/unlocking-tensor-core-performance-for-machine-learning-interatomic-potentials</description></item><item><title>[Research note] Training language models in simulation for psychiatric intake</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c07906ed88c898c3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c07906ed88c898c3/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40476</description></item><item><title>[Research note] Advancing Clinical Genomic Analysis with a Skill-Centred Agent</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bf0b6c657a02a6a7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bf0b6c657a02a6a7/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40556</description></item><item><title>[Research note] PhysVLMM: Interaction-Conditioned Physical Belief Maps for Articulated Objects in Robot Scene Maps</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bbc6e6e577bfc619/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bbc6e6e577bfc619/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40539</description></item><item><title>[Research note] rTaste: Do Research Agents Have Taste? Evaluating Early Stage Research Judgment</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b31efc0825d69775/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b31efc0825d69775/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40488</description></item><item><title>[Research note] LLM-guided Planar Loco-Manipulation for Quadruped Robots</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a887a270f4418349/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a887a270f4418349/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40248</description></item><item><title>[Research note] Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a0d5fb4ea71c8f86/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a0d5fb4ea71c8f86/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40533</description></item><item><title>[Research note] RFW-A: Agentic Procedural Generation of 400K Articulated Assets over 500 Categories</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9cfb2c7df5e35620/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9cfb2c7df5e35620/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40333</description></item><item><title>[Research note] Textual Response-Aware Guidance for Zero-Shot Adversarial Robustness of Vision-Language Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9ce097f6edce91e0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9ce097f6edce91e0/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40309</description></item><item><title>[Research note] Wizard: Manipulate Any World in Real Time via Agentic Control</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9cbe7c648d546252/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9cbe7c648d546252/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40339</description></item><item><title>[Research note] Hybrid AI Patterns: Thirteen Ways to Couple Language Models with Rules, and How to Choose Among Them</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9a58bc0126633fa6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9a58bc0126633fa6/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40036</description></item><item><title>[Research note] Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement</title><link>https://ai-tracking.sevensa.nl/en/research/signal-982645848c8c98ac/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-982645848c8c98ac/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40191</description></item><item><title>[Research note] Prefix Executability: Evaluating Tool-Using Agents Beyond Final Success</title><link>https://ai-tracking.sevensa.nl/en/research/signal-94fdbb5e499af129/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-94fdbb5e499af129/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40444</description></item><item><title>[Research note] An updated Model Spec for more capable and beneficial AI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9349f418e7bc7ab4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9349f418e7bc7ab4/</guid><description>Unreviewed source report. Original: https://openai.com/index/updated-model-spec</description></item><item><title>[Research note] Securing the Robotics Supply Chain</title><link>https://ai-tracking.sevensa.nl/en/research/signal-914458d51080282b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-914458d51080282b/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40385</description></item><item><title>[Research note] A Conveyor Belt Mechanism for Repositionable Magnetic Coupling Between Continuum Robots</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8dd9d52fd7b254cf/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8dd9d52fd7b254cf/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40600</description></item><item><title>[Research note] SelfThinker: Self-Evolving Reasoning via Reliability-Verified Intrinsic Visual Thoughts</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8db5ea2ad1cae57f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8db5ea2ad1cae57f/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40115</description></item><item><title>[Research note] How to Loop Your Transformer: Loop Scaling, Specialization, and Parallel Inference</title><link>https://ai-tracking.sevensa.nl/en/research/signal-83c0e7cdf03ab2f0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-83c0e7cdf03ab2f0/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40325</description></item><item><title>[Research note] EnvOS: Auditing Computer-Use Agents When the World Moves On : Phenomenon-Based Task Construction, Certification, and Evidence-Based Evaluation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-80d161c95bfe2815/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-80d161c95bfe2815/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40246</description></item><item><title>[Research note] Agentic process evidence</title><link>https://ai-tracking.sevensa.nl/en/research/signal-7a2b4a191e4d1eb6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-7a2b4a191e4d1eb6/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40071</description></item><item><title>[Research note] Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready</title><link>https://ai-tracking.sevensa.nl/en/research/signal-718617961cab3abc/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-718617961cab3abc/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/announcing-project-protostar</description></item><item><title>[Research note] Don't Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-712c181240cc2c5c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-712c181240cc2c5c/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40350</description></item><item><title>[Research note] LOGIV: Graph-Verified Execution with Causal Local Repair for Long-Horizon Robot Tasks</title><link>https://ai-tracking.sevensa.nl/en/research/signal-70fea6ebf1d43794/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-70fea6ebf1d43794/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40016</description></item><item><title>[Research note] Gym-Anything for Robotics: Scaling physical simulations with digital agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6e305d0d64fe6a66/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6e305d0d64fe6a66/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40565</description></item><item><title>[Research note] Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5fa15500b21b234e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5fa15500b21b234e/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40379</description></item><item><title>[Research note] Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5a6667a9af9edccd/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5a6667a9af9edccd/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40545</description></item><item><title>[Research note] Agentic University: Collaborative Agents for Personalized Learning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-579d29a8c5bf4d0f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-579d29a8c5bf4d0f/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40492</description></item><item><title>[Research note] DolphinRouting: Cluster-Level Binary Routing for Disaggregated LLM Inference Serving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-54d715cb36a72fdf/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-54d715cb36a72fdf/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40292</description></item><item><title>[Research note] The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables</title><link>https://ai-tracking.sevensa.nl/en/research/signal-517c2be4d3190220/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-517c2be4d3190220/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40370</description></item><item><title>[Research note] Reinforcement Learning Under Runtime Confounding: Policy Learning and Off-Policy Evaluation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4fa6bb68da993aa6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4fa6bb68da993aa6/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40056</description></item><item><title>[Research note] Microsoft Research Focus – Edition #97</title><link>https://ai-tracking.sevensa.nl/en/research/signal-49f8fdcf9435ba0f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-49f8fdcf9435ba0f/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/podcast/microsoft-research-focus-edition-97</description></item><item><title>[Research note] VeriCUA: Verification as Agentic Exploration for Computer-Using Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-451265122790a62b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-451265122790a62b/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40578</description></item><item><title>[Research note] Machine Learning-Based Detection of Mobile Money Scan Messages in Ghana: A Comparative Evaluation of Naive Bayes, Support Vector Machine, and Randon Forest Classifiers</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4375519d4a5f2902/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4375519d4a5f2902/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40544</description></item><item><title>[Research note] From extreme weather to agricultural consequences with agentic AI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-437456ee0a16aa64/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-437456ee0a16aa64/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40641</description></item><item><title>[Research note] Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3a0559c0d55b2ef3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3a0559c0d55b2ef3/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40551</description></item><item><title>[Research note] Collaborative AI agents for autonomous experimental research with solid-state quantum spins</title><link>https://ai-tracking.sevensa.nl/en/research/signal-38fcb134614b30d6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-38fcb134614b30d6/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40589</description></item><item><title>[Research note] BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing</title><link>https://ai-tracking.sevensa.nl/en/research/signal-34e2f92e26df87be/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-34e2f92e26df87be/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40532</description></item><item><title>[Research note] TaskFrame: Connecting Task-Level Planning with Frame-Level Control for Game Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-2dc438390afdccef/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-2dc438390afdccef/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40276</description></item><item><title>[Research note] Learning Safe Flow Matching Robot Policies from Binary Feasibility Oracles</title><link>https://ai-tracking.sevensa.nl/en/research/signal-2dc1d1afd170fcc8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-2dc1d1afd170fcc8/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40075</description></item><item><title>[Research note] Decision-Level Error Attribution and Depth-Aware Safety Evaluation of Monocular RGB Human Tracking for Autonomous Robot Navigation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-25c0a3561256c7f0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-25c0a3561256c7f0/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40199</description></item><item><title>[Research note] Beyond Selected Breakthroughs: Evaluating Language Models on Randomly Sampled Mathematical Conjectures</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1f3fafc173c6459a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1f3fafc173c6459a/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40382</description></item><item><title>[Research note] RoboSeed: Multidimensional Evaluation of Vision-Language-Action and World-Action Models: Capability, Resource Affordability, and Research Evidence</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1a0731c3c752ecd3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1a0731c3c752ecd3/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40026</description></item><item><title>[Research note] SwapBot: Tool-Centric Robot Manipulation via Interchangeable End-Effectors and Tactile Sensing</title><link>https://ai-tracking.sevensa.nl/en/research/signal-13cc417ac258df23/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-13cc417ac258df23/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40646</description></item><item><title>[Research note] H$^2$R: Hierarchical Hint-Based Reward for Mathematical Reasoning via Reinforcement Learning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-132665347f613c04/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-132665347f613c04/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.39934</description></item><item><title>[Research note] How we detect frontier model misalignment</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0f01adb2acab0a67/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0f01adb2acab0a67/</guid><description>Unreviewed source report. Original: https://openai.com/index/how-we-detect-frontier-model-misalignment</description></item><item><title>[Research note] EpiAgent: Epistemic Self-Play for LLM Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0970bbd36efcf4c1/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0970bbd36efcf4c1/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40227</description></item><item><title>[Research note] MUSBRIC: LEGO-Compatible Pneumatic Muscle Bricks for Reconfigurable Musculoskeletal Robots</title><link>https://ai-tracking.sevensa.nl/en/research/signal-048013bc2f09cfe7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-048013bc2f09cfe7/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.40285</description></item><item><title>[Research note] AI for Science expands to foundations and institutions</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e63c44ee253751eb/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e63c44ee253751eb/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/ai-for-science-expands-foundations-research-institutions</description></item><item><title>[Research note] The future of the firm</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e2ed7680c50ae3f0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e2ed7680c50ae3f0/</guid><description>Unreviewed source report. Original: https://openai.com/index/the-future-of-the-firm</description></item><item><title>[Research note] OpenAI and ServiceNow expand partnership across enterprise workflows</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a395c7da350b5086/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a395c7da350b5086/</guid><description>Unreviewed source report. Original: https://openai.com/index/openai-servicenow-partnership-expansion</description></item><item><title>[Research note] Legora is building the agentic operating system for legal work</title><link>https://ai-tracking.sevensa.nl/en/research/signal-709cc8e2bd467b79/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-709cc8e2bd467b79/</guid><description>Unreviewed source report. Original: https://openai.com/index/legora</description></item><item><title>[Research note] Gemini 4 Carbon: Our next frontier model</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3e32bae570ff21ee/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3e32bae570ff21ee/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/gemini-4-carbon-our-next-frontier-model</description></item><item><title>[Research note] Genie 4: A new generation of world simulation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e960e8891f7d7ad8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e960e8891f7d7ad8/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation</description></item><item><title>[Research note] OpenAI expands partnership with Oracle to bring its apps to ChatGPT</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c417f8e3d39d0b89/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c417f8e3d39d0b89/</guid><description>Unreviewed source report. Original: https://openai.com/index/oracle-apps-in-chatgpt</description></item><item><title>[Research note] 3 Ways to Boost MoE Inference on NVIDIA DGX Spark</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b836eb939c37ffa5/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b836eb939c37ffa5/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/3-ways-to-boost-moe-inference-on-nvidia-dgx-spark</description></item><item><title>[Research note] NVIDIA RTX Spark Powers Neural Rendering and AI Characters in Games</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a9a41b70941237e4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a9a41b70941237e4/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/nvidia-rtx-spark-powers-neural-rendering-and-ai-characters-in-games</description></item><item><title>[Research note] Fine-Tuning NVIDIA Nemotron to Know Local Rules, Not Just Local Languages</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5ed14fffd1748be8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5ed14fffd1748be8/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/fine-tuning-nvidia-nemotron-to-know-local-rules-not-just-local-languages</description></item><item><title>[Research note] Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4</title><link>https://ai-tracking.sevensa.nl/en/research/signal-449070727cbfb984/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-449070727cbfb984/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/memory-enforced-gpu-sharing-in-kubernetes-with-nvidia-cuda-13-4</description></item><item><title>[Research note] Retell uses OpenAI models to help power 100M monthly calls</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1e3ebf94e41ebe19/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1e3ebf94e41ebe19/</guid><description>Unreviewed source report. Original: https://openai.com/index/retell-ai</description></item><item><title>[Research note] Can we trust LLMs to judge whether a research idea is novel?</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1d6c5c59e46e52b9/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1d6c5c59e46e52b9/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/allenai/novelty-bench</description></item><item><title>[Research note] Build specialized multimodal models with LFM3</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1c5b51464767c2ad/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1c5b51464767c2ad/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/LiquidAI/lfm3</description></item><item><title>[Research note] How NVIDIA Minerva Turns Telemetry Chaos Into Peak GPU Yield</title><link>https://ai-tracking.sevensa.nl/en/research/signal-edeae07ffd206303/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-edeae07ffd206303/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/how-nvidia-minerva-turns-telemetry-chaos-into-peak-gpu-yield</description></item><item><title>[Research note] How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c3d6fb64eb5418e8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c3d6fb64eb5418e8/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/how-nvidia-mission-control-2-5-brings-autonomous-recovery-to-kubernetes</description></item><item><title>[Research note] Greptile takes bug detection beyond code review with GPT-6 Astra</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a9c488820a62ac4a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a9c488820a62ac4a/</guid><description>Unreviewed source report. Original: https://openai.com/index/greptile-code-review-codex-astra</description></item><item><title>[Research note] GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases</title><link>https://ai-tracking.sevensa.nl/en/research/signal-7d972df501d01ba1/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-7d972df501d01ba1/</guid><description>Unreviewed source report. Original: https://openai.com/index/gpt-6-1-sol-coderabbit-code-security</description></item><item><title>[Research note] Introducing GPT-6.1 Terra</title><link>https://ai-tracking.sevensa.nl/en/research/signal-35e334c198740f74/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-35e334c198740f74/</guid><description>Unreviewed source report. Original: https://openai.com/index/introducing-gpt-6-1-terra</description></item><item><title>[Research note] h1: A Taste of the Bitter Lesson in Automated Theorem Proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4a9dc70ee129d6d0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4a9dc70ee129d6d0/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.35962</description></item><item><title>[Research note] Using AI Agents to Teach Robots Like Microduck to Walk in Simulation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9794b201a214a494/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9794b201a214a494/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation</description></item><item><title>[Research note] Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4dcd06f240ef44ca/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4dcd06f240ef44ca/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-1</description></item><item><title>[Research note] Anima helps clinics cut call waits by 75% with GPT-6 and GPT-Live</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3b5a2a6a27ab5490/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3b5a2a6a27ab5490/</guid><description>Unreviewed source report. Original: https://openai.com/index/anima</description></item><item><title>[Research note] OpenAI and Poland’s NASK partner to advance AI safety and security</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1a543055a02f9816/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1a543055a02f9816/</guid><description>Unreviewed source report. Original: https://openai.com/index/openai-nask-ai-safety-security-partnership</description></item><item><title>[Research note] PaperFormalizer: Author-in-the-Loop Autoformalization of Research Papers in Lean</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d762df67a1c93fa4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d762df67a1c93fa4/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.31810</description></item><item><title>[Research note] Flint-interactive: A language for creating interactive data visualizations</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d6172869a6c9d34f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d6172869a6c9d34f/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/flint-interactive-a-language-for-creating-interactive-data-visualizations</description></item><item><title>[Research note] How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d52968d2b0a9b010/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d52968d2b0a9b010/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage</description></item><item><title>[Research note] Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a9592e53f2c7c709/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a9592e53f2c7c709/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes</description></item><item><title>[Research note] Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox</title><link>https://ai-tracking.sevensa.nl/en/research/signal-51888f116f5b0837/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-51888f116f5b0837/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/microsoft/thinkingbox-training</description></item><item><title>[Research note] Ensemble forecasting with IBM Granite time-series models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0e5fad3ca5f8a881/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0e5fad3ca5f8a881/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/ibm-research/granite-timeseries-ensemble-r1</description></item><item><title>[Research note] How we built ChatGPT’s novel ad stack for user trust and relevance</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ea92da5c121ecb45/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ea92da5c121ecb45/</guid><description>Unreviewed source report. Original: https://openai.com/index/building-chatgpt-ad-stack</description></item><item><title>[Research note] Democratic governance of frontier AI, part II: Empowering cyber defenders</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e270f5ba4688033d/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e270f5ba4688033d/</guid><description>Unreviewed source report. Original: https://openai.com/index/empowering-cyber-defenders</description></item><item><title>[Research note] Patch the Planet: global response coordination as agents uncover critical vulnerabilities</title><link>https://ai-tracking.sevensa.nl/en/research/signal-de9db6f384cbc788/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-de9db6f384cbc788/</guid><description>Unreviewed source report. Original: https://openai.com/index/coordinated-disclosure-of-critical-vulnerabilities</description></item><item><title>[Research note] Inside NVIDIA Sentry: Secure AI Agents at Runtime</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c1913c4bc921d7e3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c1913c4bc921d7e3/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/inside-nvidia-sentry-secure-ai-agents-at-runtime</description></item><item><title>[Research note] Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9dbc7ca917a7820d/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9dbc7ca917a7820d/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/design-proteins-with-rfd4-proteina-using-reward-guided-inference-time-search</description></item><item><title>[Research note] OpenAI models are coming to Google Cloud</title><link>https://ai-tracking.sevensa.nl/en/research/signal-95dedf578de78f3e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-95dedf578de78f3e/</guid><description>Unreviewed source report. Original: https://openai.com/index/openai-models-google-cloud</description></item><item><title>[Research note] Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8ac8568d654cd434/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8ac8568d654cd434/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/achieve-productive-ai-capacity-faster-and-more-predictably-with-nvidia-dsx-pod</description></item><item><title>[Research note] How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale</title><link>https://ai-tracking.sevensa.nl/en/research/signal-844d2a2689f652be/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-844d2a2689f652be/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/how-nvidia-openshell-reference-architecture-secures-and-governs-ai-agent-workloads-at-scale</description></item><item><title>[Research note] Solving a 31-year-old grand challenge in mathematics – the KLS conjecture</title><link>https://ai-tracking.sevensa.nl/en/research/signal-77ec6ad66af3dcc4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-77ec6ad66af3dcc4/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture</description></item><item><title>[Research note] Using thousands of AI agents to uncover new leads in biological data</title><link>https://ai-tracking.sevensa.nl/en/research/signal-64ddfb139fec8a1c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-64ddfb139fec8a1c/</guid><description>Unreviewed source report. Original: https://openai.com/index/scaling-ai-research-for-complex-biological-data</description></item><item><title>[Research note] How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications</title><link>https://ai-tracking.sevensa.nl/en/research/signal-40a01666d562060b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-40a01666d562060b/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization</description></item><item><title>[Research note] Developing an AI Factory Digital Twin with an Agent-Assisted Workflow</title><link>https://ai-tracking.sevensa.nl/en/research/signal-24f50db3e043ed4c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-24f50db3e043ed4c/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/developing-an-ai-factory-digital-twin-with-an-agent-assisted-workflow</description></item><item><title>[Research note] Terminal X matches senior investor judgment 88.6% with GPT-6.1</title><link>https://ai-tracking.sevensa.nl/en/research/signal-aa8847d44cbae332/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-aa8847d44cbae332/</guid><description>Unreviewed source report. Original: https://openai.com/index/terminal-x</description></item><item><title>[Research note] Maestro: Agentic Formal Proof Development by Coordination</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3f2c5f8a9b71ae7e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3f2c5f8a9b71ae7e/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.25920</description></item><item><title>[Research note] Advancing coding in low‑resource programming languages</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1dbe22633003a2af/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1dbe22633003a2af/</guid><description>Unreviewed source report. Original: https://openai.com/index/low-resource-programming-languages</description></item><item><title>[Research note] MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4dadc7afdfda6c93/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4dadc7afdfda6c93/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.26943</description></item><item><title>[Research note] How Localiza reorganized work around generative AI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d3b9ba6f7bd01af0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d3b9ba6f7bd01af0/</guid><description>Unreviewed source report. Original: https://openai.com/index/localiza-generative-ai</description></item><item><title>[Research note] Designing more efficient quantum circuits with Claude</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d0817155767aa3ab/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d0817155767aa3ab/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/designing-efficient-quantum-circuits</description></item><item><title>[Research note] Stack Overflow for Agents triples signups with ChatGPT plugin</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9e63539289a31c86/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9e63539289a31c86/</guid><description>Unreviewed source report. Original: https://openai.com/index/stack-overflow-chatgpt-plugin</description></item><item><title>[Research note] How Itaú is building generative AI for its entire customer base</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9732b2763df5a67a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9732b2763df5a67a/</guid><description>Unreviewed source report. Original: https://openai.com/index/itau-generative-ai</description></item><item><title>[Research note] How Grupo Boticário uses AI to strengthen human connections</title><link>https://ai-tracking.sevensa.nl/en/research/signal-86dbfdb5b436c283/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-86dbfdb5b436c283/</guid><description>Unreviewed source report. Original: https://openai.com/index/grupo-boticario</description></item><item><title>[Research note] Code, Test, and Deploy on One Machine with NVIDIA RTX Spark</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6bee349d6c55071f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6bee349d6c55071f/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/code-test-and-deploy-on-one-machine-with-nvidia-rtx-spark</description></item><item><title>[Research note] Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ff0cf28c5d753057/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ff0cf28c5d753057/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/meta-muse-spark-open</description></item><item><title>[Research note] NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c04bb70f1b05d38a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c04bb70f1b05d38a/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning</description></item><item><title>[Research note] Teaching students to think and learn through questions</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a60f4a701f887ae8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a60f4a701f887ae8/</guid><description>Unreviewed source report. Original: https://openai.com/index/teaching-students-to-think-and-learn-through-questions</description></item><item><title>[Research note] Sullivan &amp; Cromwell brings legal expertise into agreement review</title><link>https://ai-tracking.sevensa.nl/en/research/signal-94eadcab22c41e35/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-94eadcab22c41e35/</guid><description>Unreviewed source report. Original: https://openai.com/index/sullivan-cromwell</description></item><item><title>[Research note] Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72</title><link>https://ai-tracking.sevensa.nl/en/research/signal-93a3c6a05f584f10/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-93a3c6a05f584f10/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/scale-agentic-coding-workflows-with-metas-muse-spark-open-on-nvidia-gb300-nvl72</description></item><item><title>[Research note] Proof-based general-purpose computing with Magnetar</title><link>https://ai-tracking.sevensa.nl/en/research/signal-467c8e42acb6bdc9/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-467c8e42acb6bdc9/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/proof-based-general-purpose-computing-with-magnetar</description></item><item><title>[Research note] Bringing GPT-Rosalind to academic research labs</title><link>https://ai-tracking.sevensa.nl/en/research/signal-32165ee6af8945a5/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-32165ee6af8945a5/</guid><description>Unreviewed source report. Original: https://openai.com/index/introducing-the-rosalind-academic-plan</description></item><item><title>[Research note] Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d98fc085b7493311/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d98fc085b7493311/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/optimizing-agent-reliability-and-tool-calling-efficiency-for-chip-design-using-nvidia-nemo-gym</description></item><item><title>[Research note] Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b76b11a1199f73b7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b76b11a1199f73b7/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/on-device-ai-scam-detection-mddi</description></item><item><title>[Research note] How Third Moment Research runs 10,000 agents for 36+ hours</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a8b8c31de898145e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a8b8c31de898145e/</guid><description>Unreviewed source report. Original: https://openai.com/index/third-moment-research</description></item><item><title>[Research note] Gemini 4 Argon for Robotics</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d96a2391b623b2cb/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d96a2391b623b2cb/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/gemini-4-argon-for-robotics</description></item><item><title>[Research note] How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9105929b3b08daed/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9105929b3b08daed/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/rewrite-apache-spark-udfs-gpu-acceleration-ai-agents</description></item><item><title>[Research note] NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform</title><link>https://ai-tracking.sevensa.nl/en/research/signal-709864dc2d811aa2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-709864dc2d811aa2/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/nvidia-runai-is-now-open-source-as-part-of-nvidia-dsx-ai-factory-platform</description></item><item><title>[Research note] Run fast, private agents on-device with LFM2.5-24B-A2B</title><link>https://ai-tracking.sevensa.nl/en/research/signal-53911f98c21c784f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-53911f98c21c784f/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/LiquidAI/lfm25-24b-a2b</description></item><item><title>[Research note] Gemini 4 Argon: Built to solve your hardest problems</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4e31b829ae688591/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4e31b829ae688591/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-4-argon</description></item><item><title>[Research note] Developing Gemini 4 Argon responsibly and safely</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1dc99b611b2499a3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1dc99b611b2499a3/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/developing-gemini-4-argon-responsibly-and-safely</description></item><item><title>[Research note] Simulating student learning for better AI tutoring</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ca946f1238ba7f96/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ca946f1238ba7f96/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/simulating-student-learning-for-better-ai-tutoring</description></item><item><title>[Research note] ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c88f4119c47166d4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c88f4119c47166d4/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/replayssm-rethinking-state-storage-for-faster-hybrid-model-decoding</description></item><item><title>[Research note] Attention-Graph Curvature for the Verification of Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8197df41ee4c6630/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8197df41ee4c6630/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.16709</description></item><item><title>[Research note] 5 Steps to Create SimReady Assets for Robotics with Frontier AI Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d5fea414d61e112a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d5fea414d61e112a/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/5-steps-to-create-simready-assets-for-robotics-with-frontier-ai-models</description></item><item><title>[Research note] Introducing the Anthropic Cyber Mission</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c4a1f46e5a98744a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c4a1f46e5a98744a/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-cyber-mission</description></item><item><title>[Research note] Building Reliable Data Analytics Agents: Lessons from the KDD Cup</title><link>https://ai-tracking.sevensa.nl/en/research/signal-983129a3016b1868/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-983129a3016b1868/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/building-reliable-data-analytics-agents-lessons-from-the-kdd-cup</description></item><item><title>[Research note] NanoProof: Open and Efficient Automated Theorem Proving in Lean 4</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8bb253fccf85b62e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8bb253fccf85b62e/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.11605</description></item><item><title>[Research note] Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses</title><link>https://ai-tracking.sevensa.nl/en/research/signal-7fdb639a79501818/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-7fdb639a79501818/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/agent-lightning-v1-0-a-3500-line-lightweight-agentic-rl-framework-for-training-agents-with-real-harnesses</description></item><item><title>[Research note] The Machines that Make the Machines</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3edacba82f9b35c2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3edacba82f9b35c2/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/the-machines-that-make-the-machines</description></item><item><title>[Research note] Validate AI Factory Changes with Digital Twins and AI Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-2b3b48d8e55439fa/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-2b3b48d8e55439fa/</guid><description>Unreviewed source report. Original: https://developer.nvidia.com/blog/validate-ai-factory-changes-with-digital-twins-and-ai-agents</description></item><item><title>[Research note] Cost-Efficient Theorem Proving via Agent Orchestration in Program Verification</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0a408b6f89baf9da/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0a408b6f89baf9da/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.09681</description></item><item><title>[Research note] What AI gets wrong and what failure teaches us</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4b0006aa1b5d0be3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4b0006aa1b5d0be3/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/podcast/what-ai-gets-wrong-and-what-failure-teaches-us</description></item><item><title>[Research note] SCOPE: Certified Theorem Proving with a Language Model as the Policy Planner</title><link>https://ai-tracking.sevensa.nl/en/research/signal-40e9f43ed914f819/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-40e9f43ed914f819/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.08319</description></item><item><title>[Research note] EmbeddingGemma 2: an open, lightweight multimodal embedding model</title><link>https://ai-tracking.sevensa.nl/en/research/signal-2ee55c894d54d6ef/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-2ee55c894d54d6ef/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/embeddinggemma-2-an-open-lightweight-multimodal-embedding-model</description></item><item><title>[Research note] Sharing AI progress in mathematics</title><link>https://ai-tracking.sevensa.nl/en/research/signal-00427e47df5ef306/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-00427e47df5ef306/</guid><description>Unreviewed source report. Original: https://openai.com/index/sharing-ai-progress-in-mathematics</description></item><item><title>[Research note] When Does Longer Reasoning Help? Predicting Mathematical Reasoning Through Discovery and Execution</title><link>https://ai-tracking.sevensa.nl/en/research/signal-20656e236d7b5e46/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-20656e236d7b5e46/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.05322</description></item><item><title>[Research note] The Agent Said It Was Done. The Database Disagreed.</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bd1136d0fcfd6f13/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bd1136d0fcfd6f13/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/microsoft/thinkingbox</description></item><item><title>[Research note] Preserving Mathematical Reasoning in Compressed Diffusion Language Models via Trajectory-Aware Low-Rank Approximation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-83b5fa248a139c2f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-83b5fa248a139c2f/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.03326</description></item><item><title>[Research note] AutoSynthData: Generating Training Data for Enterprise Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-56c490db040147f1/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-56c490db040147f1/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/ServiceNow-AI/autosynthdata</description></item><item><title>[Research note] Barclays scales Claude to upgrade operations and improve client experience</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c08402b8f22a4b15/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c08402b8f22a4b15/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/barclays-scales-claude</description></item><item><title>[Research note] The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3958daa3cae4dbfc/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3958daa3cae4dbfc/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2610.02191</description></item><item><title>[Research note] Gemini 4 Argon: our next era of frontier intelligence</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b49099cde7e97e60/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b49099cde7e97e60/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/gemini-4-argon-our-next-era-of-frontier-intelligence</description></item><item><title>[Research note] Forecasting space weather risks on power grids</title><link>https://ai-tracking.sevensa.nl/en/research/signal-489d5fcf8020ccbf/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-489d5fcf8020ccbf/</guid><description>Unreviewed source report. Original: https://www.microsoft.com/en-us/research/blog/forecasting-space-weather-risks-on-power-grids</description></item><item><title>[Research note] Introducing SynthID Bio</title><link>https://ai-tracking.sevensa.nl/en/research/signal-08aa8115cb5d9c89/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-08aa8115cb5d9c89/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-synthid-bio</description></item><item><title>[Research note] Beyond Compression: Diagnosing How Post-Training Changes Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e5714ccf11175baa/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e5714ccf11175baa/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.37066</description></item><item><title>[Research note] Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-afa8c33f8eb7996a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-afa8c33f8eb7996a/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/MultiverseComputingCAI/getting-the-source-right-not-just-the-fact-source</description></item><item><title>[Research note] When Does Structured Knowledge Help Neural Theorem Proving?</title><link>https://ai-tracking.sevensa.nl/en/research/signal-aac33c2d5da0bf84/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-aac33c2d5da0bf84/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.34460</description></item><item><title>[Research note] Holo4: powering generalist computer-use agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-09d1d26fa19dd694/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-09d1d26fa19dd694/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/Hcompany/holo4</description></item><item><title>[Research note] Explaining Textual Entailment with Lexical Entailments: Using LLMs to Supply Lexical Relations for Formal Proofs</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3ce6bb0dbacd6daa/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3ce6bb0dbacd6daa/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.32491</description></item><item><title>[Research note] Predicting the Next State Is Not Enough: JEPA Representations for Lean Theorem Proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1970fdf81c532471/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1970fdf81c532471/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.32908</description></item><item><title>[Research note] Introducing Gemini 3.8 Live with Live Avatar</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6add3dd62456569f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6add3dd62456569f/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-38-live-with-live-avatar</description></item><item><title>[Research note] Gemini 3.8 text-to-speech says hello</title><link>https://ai-tracking.sevensa.nl/en/research/signal-721de6922a1a6b9f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-721de6922a1a6b9f/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/say-hello-to-gemini-38-text-to-speech</description></item><item><title>[Research note] Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-7076a0c08af640ff/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-7076a0c08af640ff/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.28442</description></item><item><title>[Research note] Advancing Private AI Compute with secure, server-side memory</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1043d9fe80283e6f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1043d9fe80283e6f/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/advancing-private-ai-compute-with-secure-server-side-memory</description></item><item><title>[Research note] How UK AISI and EvalEval Are Making Benchmark Results Reproducible</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e9f63aa1f7aaa02f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e9f63aa1f7aaa02f/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/evaleval-aisi</description></item><item><title>[Research note] Direct Optimization of Generators for Search in Automated Theorem Proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c737fff9dfe3b50c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c737fff9dfe3b50c/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.25575</description></item><item><title>[Research note] Transformers now runs llama.cpp quants</title><link>https://ai-tracking.sevensa.nl/en/research/signal-689d78c6e007ab8e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-689d78c6e007ab8e/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/transformers-llama-cpp-quants</description></item><item><title>[Research note] Advisory Group on Mathematics and Artificial Intelligence</title><link>https://ai-tracking.sevensa.nl/en/research/signal-08ffdb24bebd9aa2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-08ffdb24bebd9aa2/</guid><description>Unreviewed source report. Original: https://openai.com/index/advisory-group-on-mathematics-and-ai</description></item><item><title>[Research note] Partnering with Accenture on embedded evaluation</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5ec4e61a2a5169eb/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5ec4e61a2a5169eb/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/accenture-embedded-evaluation</description></item><item><title>[Research note] Your Agent Aced the Task. Will It Do It Again?</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a1d018f16fad79f9/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a1d018f16fad79f9/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/ibm-research/altk-evolve-consistency</description></item><item><title>[Research note] Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6aae488b1bb65e59/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6aae488b1bb65e59/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-3-8-live-and-3-8-live-extended-thinking</description></item><item><title>[Research note] Improving Mathematical Reasoning Capabilities in Large Language Models via Reasoning Process Error Classification</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5a6518a45c962f1c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5a6518a45c962f1c/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.15145</description></item><item><title>[Research note] Transformed in Translation: Two-Stage Structural Uncertainty in LLM-Based Scientific Autoformalization</title><link>https://ai-tracking.sevensa.nl/en/research/signal-546a8fe93d7faa84/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-546a8fe93d7faa84/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.14808</description></item><item><title>[Research note] Beyond Solver Verdicts: Generative Reward Models for Autoformalization</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b2db7e146f13ef3c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b2db7e146f13ef3c/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.11085</description></item><item><title>[Research note] Magenta: Closing the Loop Between Mathematical Reasoning and Lean Verification</title><link>https://ai-tracking.sevensa.nl/en/research/signal-02089ab4d45c9c81/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-02089ab4d45c9c81/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.11319</description></item><item><title>[Research note] AxQM: A Textbook-Scale Benchmark for Formal Proof Synthesis in a Library of Finite-Dimensional Quantum Mechanics</title><link>https://ai-tracking.sevensa.nl/en/research/signal-449818065abe3e26/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-449818065abe3e26/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2609.05157</description></item><item><title>[Research note] NeoMME: an efficient Multimodal-native and Multilingual Encoder</title><link>https://ai-tracking.sevensa.nl/en/research/signal-fffbcba03b0b217e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-fffbcba03b0b217e/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/Hcompany/neomme</description></item><item><title>[Research note] Introducing WeatherNext 3, our most advanced and accurate global weather AI model</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d5ea4bcadd66b1af/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d5ea4bcadd66b1af/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-weathernext-3-our-most-advanced-and-accurate-global-weather-ai-model</description></item><item><title>[Research note] Give Your Coding Agents a Memory You Own</title><link>https://ai-tracking.sevensa.nl/en/research/signal-cdd1118267ee925c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-cdd1118267ee925c/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/funes</description></item><item><title>[Research note] Training a coding model to paint watercolours with TRL and OpenEnv</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b5500bc6503561c6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b5500bc6503561c6/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/train-to-paint-with-code</description></item><item><title>[Research note] Introducing Gemini 3.8 Flash and 3.8 Flash Cyber</title><link>https://ai-tracking.sevensa.nl/en/research/signal-355be2cf6d2d139c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-355be2cf6d2d139c/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-3-8-flash-and-38-flash-cyber</description></item><item><title>[Research note] BenchMIRT: What are LLM benchmarks actually measuring?</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ad90e6779ea3045b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ad90e6779ea3045b/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/allenai/benchmirt</description></item><item><title>[Research note] Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-91dad0068ec24e5b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-91dad0068ec24e5b/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/webgpu-kernels</description></item><item><title>[Research note] Introducing agentic video understanding with Gemini</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6bf5b05134dd23a6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6bf5b05134dd23a6/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-agentic-video-in-gemini</description></item><item><title>[Research note] SHADOWBENCH: Toward Reliable Automatic Evaluation of Semantic Alignment in Autoformalization</title><link>https://ai-tracking.sevensa.nl/en/research/signal-90d6235b3f2d0200/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-90d6235b3f2d0200/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.29270</description></item><item><title>[Research note] Learning to Use Tools: Reinforcement Learning for Tool-Integrated Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ecfd7a0421bf4f9e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ecfd7a0421bf4f9e/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.28447</description></item><item><title>[Research note] Piloting the world's first double-blind AI evaluations</title><link>https://ai-tracking.sevensa.nl/en/research/signal-f0dc85dcc6d3444f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-f0dc85dcc6d3444f/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/piloting-the-worlds-first-double-blind-ai-evaluations</description></item><item><title>[Research note] Gemini Omni 1.1 Flash lets you build with more control</title><link>https://ai-tracking.sevensa.nl/en/research/signal-90ba20dc32b53edf/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-90ba20dc32b53edf/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/gemini-omni-1-1-flash-lets-you-build-with-more-control</description></item><item><title>[Research note] INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-210b5a5aac34c71d/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-210b5a5aac34c71d/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.27501</description></item><item><title>[Research note] ProofEvolve: Neuro-Symbolic Evolution for Formal Automated Theorem Proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-df374e60be63a57b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-df374e60be63a57b/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.26334</description></item><item><title>[Research note] Intelligent transcription with Gemini 3.5 Transcribe</title><link>https://ai-tracking.sevensa.nl/en/research/signal-737331cbffc8a092/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-737331cbffc8a092/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/intelligent-transcription-with-gemini-3-5-transcribe</description></item><item><title>[Research note] Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original</title><link>https://ai-tracking.sevensa.nl/en/research/signal-f1c76f23a788b688/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-f1c76f23a788b688/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/MultiverseComputingCAI/quantization-aware-healing</description></item><item><title>[Research note] Granite 4.2 LLMs: How They're Built</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d21068479952e403/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d21068479952e403/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/ibm-granite/granite-4-2</description></item><item><title>[Research note] Wire It, Run It, Deploy It: AI Workflows in Gradio</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9b54a38fa1b1a3f1/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9b54a38fa1b1a3f1/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/gradio-workflow-guide</description></item><item><title>[Research note] FLARE: Verifying MILP Reformulations with LLM-Based Theorem Proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-68b3edb11a906d24/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-68b3edb11a906d24/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.25220</description></item><item><title>[Research note] More Accurate or More Efficient? Evaluating Locally Deployed Compact Open-Weight Language Models for Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-56ab1aae4224aa17/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-56ab1aae4224aa17/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.22048</description></item><item><title>[Research note] Measuring benchmark optimization in speech recognition</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e3ddd7a65cd3a566/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e3ddd7a65cd3a566/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/asr-benchmark-optimization</description></item><item><title>[Research note] How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code</title><link>https://ai-tracking.sevensa.nl/en/research/signal-966123ef613d7e9a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-966123ef613d7e9a/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/pwc-search</description></item><item><title>[Research note] DirEAG: Dirichlet Evidence Aggregation for Calibrating Verbalized Confidence in Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8e792bb307101fd5/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8e792bb307101fd5/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.20717</description></item><item><title>[Research note] From Atari to EVE Online: Building on 15 Years of AI Research in Games</title><link>https://ai-tracking.sevensa.nl/en/research/signal-76900827bd8bbfff/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-76900827bd8bbfff/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/from-atari-to-eve-online-building-on-15-years-of-ai-research-in-games</description></item><item><title>[Research note] Up to 3.2x Faster Inference with LFM2.5-DSpark</title><link>https://ai-tracking.sevensa.nl/en/research/signal-eab5285cfdebeb65/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-eab5285cfdebeb65/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/LiquidAI/lfm25-dspark</description></item><item><title>[Research note] SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b90268cfc4f385f0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b90268cfc4f385f0/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.17301</description></item><item><title>[Research note] How Much Memory Does Your Agent Actually Need?</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5ba78b757300e8cc/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5ba78b757300e8cc/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/ibm-research/altk-evolve-hmm</description></item><item><title>[Research note] Introducing Gemini 3.7 Flash</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d8531b3bebbaf664/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d8531b3bebbaf664/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-3-7-flash</description></item><item><title>[Research note] Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets</title><link>https://ai-tracking.sevensa.nl/en/research/signal-353217afc4f706b5/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-353217afc4f706b5/</guid><description>Unreviewed source report. Original: https://huggingface.co/blog/amazon/strands-lerobot-streaming-data-loop</description></item><item><title>[Research note] Putting sign language AI into users’ hands</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c26c8d5a4e90c678/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c26c8d5a4e90c678/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/putting-sign-language-ai-into-users-hands</description></item><item><title>[Research note] Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing</title><link>https://ai-tracking.sevensa.nl/en/research/signal-dc34b894ca7efc23/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-dc34b894ca7efc23/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.28639</description></item><item><title>[Research note] MathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9806138efa98bae6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9806138efa98bae6/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.08503</description></item><item><title>[Research note] WeatherNext: AI model achieves breakthrough in forecasting cyclones</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ebc5821a44c45c7a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ebc5821a44c45c7a/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones</description></item><item><title>[Research note] Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs</title><link>https://ai-tracking.sevensa.nl/en/research/signal-31ef3c8b1433de0c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-31ef3c8b1433de0c/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2608.00605</description></item><item><title>[Research note] ReDiPPO: Reference-Guided Value Calibration and Discrepancy-Aware Token Reweighting for Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-fe123ce9e25732ef/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-fe123ce9e25732ef/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2607.27631</description></item><item><title>[Research note] Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c8c2521853f8de9e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c8c2521853f8de9e/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/gemini-robotics-er-2-powering-robotics-with-video-understanding-task-orchestration-and-multi-robot-collaboration</description></item><item><title>[Research note] Gemini Robotics 2 brings whole body intelligence to robots</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bba16244a7af23a2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bba16244a7af23a2/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots</description></item><item><title>[Research note] Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e08c4d4e6d11f25f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e08c4d4e6d11f25f/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/accelerating-the-frontiers-of-scientific-discovery-googles-40m-commitment-to-the-genesis-mission</description></item><item><title>[Research note] The Anthropic Economic Index connector</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a66075dc0af41a68/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a66075dc0af41a68/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-economic-index-connector</description></item><item><title>[Research note] Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5e431bbf920c7ba3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5e431bbf920c7ba3/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber</description></item><item><title>[Research note] Introducing Gemini 3.5 Flash Cyber</title><link>https://ai-tracking.sevensa.nl/en/research/signal-969044f63ea6bfa4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-969044f63ea6bfa4/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/introducing-gemini-3-5-flash-cyber</description></item><item><title>[Research note] Our approach to bioresilience</title><link>https://ai-tracking.sevensa.nl/en/research/signal-16e13c52f7cd02d4/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-16e13c52f7cd02d4/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/our-approach-to-bioresilience</description></item><item><title>[Research note] GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9e120b36e778a531/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9e120b36e778a531/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2607.13248</description></item><item><title>[Research note] Anthropic commits $10 million to Canadian AI research</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0221b1d0649ec5f2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0221b1d0649ec5f2/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/canadian-ai-research</description></item><item><title>[Research note] Empowering India’s next generation of innovators with ATL Saathi</title><link>https://ai-tracking.sevensa.nl/en/research/signal-13a6d9819972b9b7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-13a6d9819972b9b7/</guid><description>Unreviewed source report. Original: https://deepmind.google/blog/empowering-indias-next-generation-of-innovators-with-atl-saathi</description></item><item><title>[Research note] TreeThink: A Modular Tree Search Library for Mathematical Reasoning with LLMs</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0ba316ef0178abbf/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0ba316ef0178abbf/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2607.11258</description></item><item><title>[Research note] Ben Bernanke joins the Long-Term Benefit Trust</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5a81a35f01891896/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5a81a35f01891896/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/ben-bernanke</description></item><item><title>[Research note] PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a8b0f207e4d29b56/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a8b0f207e4d29b56/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2607.05992</description></item><item><title>[Research note] Alberta uses Claude to find and fix security vulnerabilities</title><link>https://ai-tracking.sevensa.nl/en/research/signal-33ff9177ca69de68/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-33ff9177ca69de68/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/alberta-government-claude-cybersecurity</description></item><item><title>[Research note] Reward Granularity in RLVR: Comparing Process and Outcome Reward Structures for Mathematical Reasoning in Small Language Models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-81f04d25d61707a7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-81f04d25d61707a7/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2607.02869</description></item><item><title>[Research note] From Answer Generators to Reasoning Facilitators: Designing AI Tutors for Mathematical Reasoning in High-Stakes Environments</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4bff3fecf6086922/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4bff3fecf6086922/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2607.01692</description></item><item><title>[Research note] Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9cc978369ebb3096/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9cc978369ebb3096/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2606.31134</description></item><item><title>[Research note] Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5c564b4f4e989395/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5c564b4f4e989395/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2606.27926</description></item><item><title>[Research note] Riazi-8B: An Urdu Large Language Model for Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e4a58e51e631ab18/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e4a58e51e631ab18/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2606.25568</description></item><item><title>[Research note] Cliff Tokens: Analyzing Failure Trigger Tokens in LLM Mathematical Reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3bf0e65f1a9f2c2a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3bf0e65f1a9f2c2a/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2606.25524</description></item><item><title>[Research note] Process-Verified Reinforcement Learning for Theorem Proving via Lean</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3e9b69b6580d0429/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3e9b69b6580d0429/</guid><description>Unreviewed source report. Original: https://arxiv.org/abs/2606.20068</description></item><item><title>[Research note] Mapping AI-enabled cyber threats</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b531a6249412cc4f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b531a6249412cc4f/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/AI-enabled-cyber-threats-mitre-attack</description></item><item><title>[Research note] Chris Olah's remarks on Pope Leo XIV's encyclical</title><link>https://ai-tracking.sevensa.nl/en/research/signal-cf2879a4f8bc2f9c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-cf2879a4f8bc2f9c/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/chris-olah-pope-leo-encyclical</description></item><item><title>[Research note] KPMG integrates Claude across its workforce</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5df700a9f389ee77/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5df700a9f389ee77/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-kpmg</description></item><item><title>[Research note] 2028: Two scenarios for global AI leadership</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8e9bf4e4b45d9b43/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8e9bf4e4b45d9b43/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/2028-ai-leadership</description></item><item><title>[Research note] Focus areas for The Anthropic Institute</title><link>https://ai-tracking.sevensa.nl/en/research/signal-0c06755b2d219b8e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-0c06755b2d219b8e/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-institute-agenda</description></item><item><title>[Research note] Anthropic and NEC build AI engineering in Japan</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9d08d393003b3087/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9d08d393003b3087/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-nec</description></item><item><title>[Research note] Anthropic and Amazon expand compute collaboration</title><link>https://ai-tracking.sevensa.nl/en/research/signal-53ae5204e4458d81/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-53ae5204e4458d81/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-amazon-compute</description></item><item><title>[Research note] Australia and Anthropic sign AI safety MOU</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b3be35db7b67841e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b3be35db7b67841e/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/australia-MOU</description></item><item><title>[Research note] New ways to learn math and science in ChatGPT</title><link>https://ai-tracking.sevensa.nl/en/research/signal-101605e3044aa24d/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-101605e3044aa24d/</guid><description>Unreviewed source report. Original: https://openai.com/index/new-ways-to-learn-math-and-science-in-chatgpt</description></item><item><title>[Research note] Reasoning models struggle to control their chains of thought, and that’s good</title><link>https://ai-tracking.sevensa.nl/en/research/signal-287a6bf671540811/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-287a6bf671540811/</guid><description>Unreviewed source report. Original: https://openai.com/index/reasoning-models-chain-of-thought-controllability</description></item><item><title>[Research note] Our First Proof submissions</title><link>https://ai-tracking.sevensa.nl/en/research/signal-feae6511a0a2e0f2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-feae6511a0a2e0f2/</guid><description>Unreviewed source report. Original: https://openai.com/index/first-proof-submissions</description></item><item><title>[Research note] Anthropic and Infosys build AI agents</title><link>https://ai-tracking.sevensa.nl/en/research/signal-89c09d6960f28f3f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-89c09d6960f28f3f/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-infosys</description></item><item><title>[Research note] Anthropic opens Bengaluru office</title><link>https://ai-tracking.sevensa.nl/en/research/signal-459cc69c004bf274/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-459cc69c004bf274/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/bengaluru-office-partnerships-across-india</description></item><item><title>[Research note] Anthropic partners with CodePath</title><link>https://ai-tracking.sevensa.nl/en/research/signal-55cc348bcfa4f00c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-55cc348bcfa4f00c/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-codepath-partnership</description></item><item><title>[Research note] Apple’s Xcode now supports the Claude Agent SDK</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5eb893081b000593/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5eb893081b000593/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/apple-xcode-claude-agent-sdk</description></item><item><title>[Research note] Anthropic partners with Allen Institute and HHMI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-98df153600e61955/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-98df153600e61955/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute</description></item><item><title>[Research note] Anthropic and Teach For All train educators on AI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8905509e5a3e200b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8905509e5a3e200b/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-teach-for-all</description></item><item><title>[Research note] Zenken boosts a lean sales team with ChatGPT Enterprise</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5265d72fa2c49c7a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5265d72fa2c49c7a/</guid><description>Unreviewed source report. Original: https://openai.com/index/zenken</description></item><item><title>[Research note] Advancing science and math with GPT-5.2</title><link>https://ai-tracking.sevensa.nl/en/research/signal-03cba5d2396520e3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-03cba5d2396520e3/</guid><description>Unreviewed source report. Original: https://openai.com/index/gpt-5-2-for-science-and-math</description></item><item><title>[Research note] Accenture and Anthropic launch partnership</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d5a641533b4cdebe/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d5a641533b4cdebe/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-accenture-partnership</description></item><item><title>[Research note] GPT-5 and the future of mathematical discovery</title><link>https://ai-tracking.sevensa.nl/en/research/signal-2cae3df5b44652a8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-2cae3df5b44652a8/</guid><description>Unreviewed source report. Original: https://openai.com/index/gpt-5-mathematical-discovery</description></item><item><title>[Research note] Anthropic invests $50 billion in American AI infrastructure</title><link>https://ai-tracking.sevensa.nl/en/research/signal-52c1c2def0184008/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-52c1c2def0184008/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-invests-50-billion-in-american-ai-infrastructure</description></item><item><title>[Research note] Iceland launches a national AI education pilot</title><link>https://ai-tracking.sevensa.nl/en/research/signal-48d3aa1168f3b7b2/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-48d3aa1168f3b7b2/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-and-iceland-announce-one-of-the-world-s-first-national-ai-education-pilots</description></item><item><title>[Research note] Advancing Claude for Financial Services</title><link>https://ai-tracking.sevensa.nl/en/research/signal-96bb717697d48967/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-96bb717697d48967/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/advancing-claude-for-financial-services</description></item><item><title>[Research note] Anthropic is endorsing SB 53</title><link>https://ai-tracking.sevensa.nl/en/research/signal-523ff672174f35cf/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-523ff672174f35cf/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-is-endorsing-sb-53</description></item><item><title>[Research note] Anthropic joins White House AI education pledge</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a00847af92fd67bd/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a00847af92fd67bd/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-signs-pledge-to-americas-youth-investing-in-ai-education</description></item><item><title>[Research note] Higher education advisory board and AI Fluency courses</title><link>https://ai-tracking.sevensa.nl/en/research/signal-3ac21b56f945c964/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-3ac21b56f945c964/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-higher-education-initiatives</description></item><item><title>[Research note] Building safeguards for Claude</title><link>https://ai-tracking.sevensa.nl/en/research/signal-5f8631613d32f6ed/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-5f8631613d32f6ed/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/building-safeguards-for-claude</description></item><item><title>[Research note] Anthropic partners with UChicago's Becker Friedman Institute</title><link>https://ai-tracking.sevensa.nl/en/research/signal-52ebd8bc99c372db/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-52ebd8bc99c372db/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-partners-with-the-university-of-chicago-s-becker-friedman-institute-on-ai-economic</description></item><item><title>[Research note] Build AI in America: Anthropic Energy Report</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d75153884b30e144/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d75153884b30e144/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/build-ai-in-america</description></item><item><title>[Research note] Advancing Claude for Education</title><link>https://ai-tracking.sevensa.nl/en/research/signal-89df73f468616e60/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-89df73f468616e60/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/advancing-claude-for-education</description></item><item><title>[Research note] Activating AI Safety Level 3 protections</title><link>https://ai-tracking.sevensa.nl/en/research/signal-7512ddb574f82249/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-7512ddb574f82249/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/activating-asl3-protections</description></item><item><title>[Research note] Introducing Anthropic's AI for Science Program</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b36ba38b0f97a9f8/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b36ba38b0f97a9f8/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/ai-for-science-program</description></item><item><title>[Research note] Code with Claude: Anthropic's first developer conference</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d01b0129e222fd11/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d01b0129e222fd11/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/Introducing-code-with-claude</description></item><item><title>[Research note] Reasoning models don't always say what they think</title><link>https://ai-tracking.sevensa.nl/en/research/signal-763973bbed381f66/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-763973bbed381f66/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/reasoning-models-dont-say-think</description></item><item><title>[Research note] Tracing the thoughts of a large language model</title><link>https://ai-tracking.sevensa.nl/en/research/signal-fdc10e3226e65f8b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-fdc10e3226e65f8b/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/tracing-thoughts-language-model</description></item><item><title>[Research note] Response to Governor Newsom's AI working grou</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6131dada9eeed197/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6131dada9eeed197/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-s-response-to-governor-newsom-s-ai-working-group-draft-report</description></item><item><title>[Research note] Detecting misbehavior in frontier reasoning models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-62125fff56fe4d11/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-62125fff56fe4d11/</guid><description>Unreviewed source report. Original: https://openai.com/index/chain-of-thought-monitoring</description></item><item><title>[Research note] Recommendations to OSTP for the US AI Action Plan</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bce43ddf858fc30e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bce43ddf858fc30e/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-s-recommendations-ostp-u-s-ai-action-plan</description></item><item><title>[Research note] Anthropic joins the 1,000 Scientist AI Jam</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e88ccf3c8afff595/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e88ccf3c8afff595/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-partners-with-u-s-national-labs-for-first-1-000-scientist-ai-jam</description></item><item><title>[Research note] Claude 3.7 Sonnet and Claude Code</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a6c92f94a0af49f7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a6c92f94a0af49f7/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/claude-3-7-sonnet</description></item><item><title>[Research note] Building a custom math tutor powered by ChatGPT</title><link>https://ai-tracking.sevensa.nl/en/research/signal-8f3818540eb6f52e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-8f3818540eb6f52e/</guid><description>Unreviewed source report. Original: https://openai.com/index/my-dog-the-math-tutor</description></item><item><title>[Research note] Anthropic achieves ISO 42001 certification</title><link>https://ai-tracking.sevensa.nl/en/research/signal-4253581b00c51349/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-4253581b00c51349/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-achieves-iso-42001-certification-for-responsible-ai</description></item><item><title>[Research note] Deliberative alignment: reasoning enables safer language models</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9cf289b414fdf955/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9cf289b414fdf955/</guid><description>Unreviewed source report. Original: https://openai.com/index/deliberative-alignment</description></item><item><title>[Research note] Powering AI development with AWS</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6e571b86cdcf74a0/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6e571b86cdcf74a0/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-amazon-trainium</description></item><item><title>[Research note] Computer use, Claude 3.5 Sonnet, and Claude 3.5 Haiku</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9e4ef9c155b6d9f3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9e4ef9c155b6d9f3/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/3-5-models-and-computer-use</description></item><item><title>[Research note] Our updated Responsible Scaling Policy</title><link>https://ai-tracking.sevensa.nl/en/research/signal-d0ba81cc7a8fdb2b/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-d0ba81cc7a8fdb2b/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy</description></item><item><title>[Research note] Circuits Updates – September 2024</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6c466ed1f870047e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6c466ed1f870047e/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/circuits-updates-sept-2024</description></item><item><title>[Research note] Economics and reasoning with OpenAI o1</title><link>https://ai-tracking.sevensa.nl/en/research/signal-830cb52fd9876880/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-830cb52fd9876880/</guid><description>Unreviewed source report. Original: https://openai.com/index/o1-economics</description></item><item><title>[Research note] Circuits Updates – August 2024</title><link>https://ai-tracking.sevensa.nl/en/research/signal-fe980da61d6c6c06/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-fe980da61d6c6c06/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/circuits-updates-august-2024</description></item><item><title>[Research note] Circuits Updates – July 2024</title><link>https://ai-tracking.sevensa.nl/en/research/signal-fe3f51bba975fd89/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-fe3f51bba975fd89/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/circuits-updates-july-2024</description></item><item><title>[Research note] Anthropic and Menlo Ventures launch Anthology Fund</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6cc948335c9293a7/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6cc948335c9293a7/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-partners-with-menlo-ventures-to-launch-anthology-fund</description></item><item><title>[Research note] Funding third-party model evaluations</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b452070c7a90e2aa/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b452070c7a90e2aa/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/a-new-initiative-for-developing-third-party-model-evaluations</description></item><item><title>[Research note] Circuits Updates – June 2024</title><link>https://ai-tracking.sevensa.nl/en/research/signal-675ce8c8cc01bec1/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-675ce8c8cc01bec1/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/circuits-updates-june-2024</description></item><item><title>[Research note] Introducing Claude 3.5 Sonnet</title><link>https://ai-tracking.sevensa.nl/en/research/signal-e91e6f80eaaceb58/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-e91e6f80eaaceb58/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/claude-3-5-sonnet</description></item><item><title>[Research note] Using GPT-4o reasoning to transform cancer care</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bee456f3098d126d/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bee456f3098d126d/</guid><description>Unreviewed source report. Original: https://openai.com/index/color-health</description></item><item><title>[Research note] Challenges in red teaming AI systems</title><link>https://ai-tracking.sevensa.nl/en/research/signal-ed500889a8ff2381/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-ed500889a8ff2381/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/challenges-in-red-teaming-ai-systems</description></item><item><title>[Research note] Circuits Updates – April 2024</title><link>https://ai-tracking.sevensa.nl/en/research/signal-17af56100ac622bb/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-17af56100ac622bb/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/circuits-updates-april-2024</description></item><item><title>[Research note] Aligning on child safety principles</title><link>https://ai-tracking.sevensa.nl/en/research/signal-1e705b16c9896d5e/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-1e705b16c9896d5e/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/child-safety-principles</description></item><item><title>[Research note] Reflections on qualitative research</title><link>https://ai-tracking.sevensa.nl/en/research/signal-939496d319fa3e64/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-939496d319fa3e64/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/transformer-circuits</description></item><item><title>[Research note] Introducing the next generation of Claude</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a2cf0d0271acb097/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a2cf0d0271acb097/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/claude-3-family</description></item><item><title>[Research note] Introducing Claude 2.1</title><link>https://ai-tracking.sevensa.nl/en/research/signal-013fa77665db256f/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-013fa77665db256f/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/claude-2-1</description></item><item><title>[Research note] Expanding access to safer AI with Amazon</title><link>https://ai-tracking.sevensa.nl/en/research/signal-344242a8eb0e545a/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-344242a8eb0e545a/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-amazon</description></item><item><title>[Research note] Introducing Anthropic's Responsible Scaling Policy</title><link>https://ai-tracking.sevensa.nl/en/research/signal-394ea6d17701b621/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-394ea6d17701b621/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropics-responsible-scaling-policy</description></item><item><title>[Research note] Anthropic partners with BCG</title><link>https://ai-tracking.sevensa.nl/en/research/signal-7bd3476504f89b80/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-7bd3476504f89b80/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-bcg</description></item><item><title>[Research note] Question decomposition improves reasoning faithfulness</title><link>https://ai-tracking.sevensa.nl/en/research/signal-76aa88e8f675765d/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-76aa88e8f675765d/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/question-decomposition-improves-the-faithfulness-of-model-generated-reasoning</description></item><item><title>[Research note] Measuring faithfulness in Chain-of-Thought reasoning</title><link>https://ai-tracking.sevensa.nl/en/research/signal-39e67051da9b752c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-39e67051da9b752c/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/measuring-faithfulness-in-chain-of-thought-reasoning</description></item><item><title>[Research note] Charting a path to AI accountability</title><link>https://ai-tracking.sevensa.nl/en/research/signal-fa8a476757126bcd/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-fa8a476757126bcd/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/charting-a-path-to-ai-accountability</description></item><item><title>[Research note] Improving mathematical reasoning with process supervision</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b6a5fdb87e9fa85c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b6a5fdb87e9fa85c/</guid><description>Unreviewed source report. Original: https://openai.com/index/improving-mathematical-reasoning-with-process-supervision</description></item><item><title>[Research note] Circuits Updates — May 2023</title><link>https://ai-tracking.sevensa.nl/en/research/signal-45228dda361f3aa5/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-45228dda361f3aa5/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/circuits-updates-may-2023</description></item><item><title>[Research note] Introducing 100K context windows</title><link>https://ai-tracking.sevensa.nl/en/research/signal-b1525886b462dbfa/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-b1525886b462dbfa/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/100k-context-windows</description></item><item><title>[Research note] An AI policy tool for today: Invest in NIST</title><link>https://ai-tracking.sevensa.nl/en/research/signal-a760d2a9427648d3/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-a760d2a9427648d3/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/an-ai-policy-tool-for-today-ambitiously-invest-in-nist</description></item><item><title>[Research note] Anthropic partners with Google Cloud</title><link>https://ai-tracking.sevensa.nl/en/research/signal-bc3d372aee816807/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-bc3d372aee816807/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-partners-with-google-cloud</description></item><item><title>[Research note] Anthropic raises Series B to build robust AI</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c9af86716706db52/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c9af86716706db52/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-raises-series-b-to-build-safe-reliable-ai</description></item><item><title>[Research note] Solving (some) formal math olympiad problems</title><link>https://ai-tracking.sevensa.nl/en/research/signal-89ed49981586ff9c/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-89ed49981586ff9c/</guid><description>Unreviewed source report. Original: https://openai.com/index/formal-math</description></item><item><title>[Research note] A mathematical framework for Transformer Circuits</title><link>https://ai-tracking.sevensa.nl/en/research/signal-9cb7d97950332cc6/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-9cb7d97950332cc6/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/research/a-mathematical-framework-for-transformer-circuits</description></item><item><title>[Research note] Solving math word problems</title><link>https://ai-tracking.sevensa.nl/en/research/signal-34f845c1e7102eae/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-34f845c1e7102eae/</guid><description>Unreviewed source report. Original: https://openai.com/index/solving-math-word-problems</description></item><item><title>[Research note] Anthropic raises $124 million Series A</title><link>https://ai-tracking.sevensa.nl/en/research/signal-c050aa0c7cd8f1bc/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-c050aa0c7cd8f1bc/</guid><description>Unreviewed source report. Original: https://www.anthropic.com/news/anthropic-raises-124-million-to-build-more-reliable-general-ai-systems</description></item><item><title>[Research note] Generative language modeling for automated theorem proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-88e99ce4204ef142/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-88e99ce4204ef142/</guid><description>Unreviewed source report. Original: https://openai.com/index/generative-language-modeling-for-automated-theorem-proving</description></item><item><title>[Research note] GamePad: A learning environment for theorem proving</title><link>https://ai-tracking.sevensa.nl/en/research/signal-6a26561219cf8d72/</link><guid>https://ai-tracking.sevensa.nl/en/research/signal-6a26561219cf8d72/</guid><description>Unreviewed source report. Original: https://openai.com/index/gamepad</description></item><item><title>[Explained research] Can we test an enterprise assistant without using customer data?</title><link>https://ai-tracking.sevensa.nl/en/explainers/synthetic-enterprise-evaluation/</link><guid>https://ai-tracking.sevensa.nl/en/explainers/synthetic-enterprise-evaluation/</guid><description>Separate AI source check; not scientific peer review. Original: https://www.microsoft.com/en-us/research/blog/from-synthetic-enterprise-data-evaluations-to-real-microsoft-copilot-ai-confidence/</description></item><item><title>[Explained research] An AI explanation is not a complete account of how an answer was produced</title><link>https://ai-tracking.sevensa.nl/en/explainers/explanations-versus-evidence/</link><guid>https://ai-tracking.sevensa.nl/en/explainers/explanations-versus-evidence/</guid><description>Separate AI source check; not scientific peer review. Original: https://www.anthropic.com/research/reasoning-models-dont-say-think</description></item><item><title>[Explained research] A more capable agent still needs enforced boundaries</title><link>https://ai-tracking.sevensa.nl/en/explainers/runtime-controls-for-agents/</link><guid>https://ai-tracking.sevensa.nl/en/explainers/runtime-controls-for-agents/</guid><description>Separate AI source check; not scientific peer review. Original: https://developer.nvidia.com/blog/build-specialized-agents-on-a-stack-you-control-with-nvidia-nemoclaw/</description></item></channel></rss>