The reporting

4 articles

Topic: reinforcement learning

A blackboard covered in handwritten mathematical formulas in a university classroom, illustrating olympiad-level mathematical proof work.

NEWS AI Research

Nemotron 3 Reaches Gold-Threshold Scores at IMO and IOI 2026, With the Whole Recipe Published

NVIDIA's Nemotron team reports gold-threshold scores at IMO 2026 and IOI 2026 using one open base model family, and it published the checkpoints, data, prompts and proofs. A plain-language look at what the result shows, what it does not, and why reproducibility may matter more than the medals.

A typed contract form for participation in a television programme, dated 1975, shown as a printed legal agreement.

ANALYSIS AI Research

OpenAI trains its GPT-6 Astra agent on Ironclad's real contracting workflows, and the fine print matters

OpenAI announced a research collaboration with contract-software company Ironclad on October 6, 2026, using eleven real contracting workflows to train and evaluate its GPT-6 Astra agent. The reported gains are real findings from OpenAI's own evaluation, with simulated time estimates and no independent verification. Here is what the method is, what the numbers do and do not prove, and why the pattern may extend to other professions.

BRIDGE Figure 1 with an upper co-design workflow linking an actuator library, URDF generation, motion evaluation and saturated-motor replacement, above lower examples of the physical humanoid performing whole-body movements.

ANALYSIS Technology

BRIDGE Designs a Humanoid Body and Controller as One System

The compact research robot links morphology, actuator limits and learned control, but its strongest comparisons remain simulated and its full open-source release is still pending.

Research illustration showing the same recorded robot trajectory receiving different progress scores under two equivalent instructions about placing a radish in a pink bowl.

ANALYSIS Robotics

RoboRMBench Exposes Wording-Sensitive Reward Scores in Robot Learning

A new preprint tests vision-language reward models on 2,390 recorded real-robot trajectories and finds that equivalent instructions can produce contradictory judgments, revealing a measurable reliability gap before physical deployment.