OpenAI claims its AI agents prove that full Navier–Stokes equations can break down, but mathematicians Tristan Buckmaster and Levent Alpöge allege the result draws on their uncredited AI-assisted work; OpenAI denies accessing their transcripts.
Yifan Zhang launches the Recurrent Looped Transformer, which preserves hidden states and attention caches across prompt-response boundaries; in 79K-parameter synthetic tests, it reaches 60.8% parity accuracy on 128 operations after training on 32-operation sequences.
Voices releases a white paper outlining a four-step human-in-the-loop framework to calibrate DNSMOS audio-quality thresholds for specific AI speech uses, aiming to prevent usable training data from being discarded and avoid higher training time and costs.
Hyperresearch launches an agent-driven Claude Code research harness that claims the top spot on the DeepResearch-Bench RACE leaderboard, using a 16-step, tier-adaptive pipeline with adversarial critics and citation checks for runs ranging from 30 minutes to 80,000-word dissertations, though independent validation is still pending.
Alibaba is in talks to lead a $300 million funding round for AI training and benchmarking startup UniPat AI, with Tencent and HSG joining as terms remain subject to change.
Perplexity Engineering launches Q2D-Web, a massive multilingual benchmark featuring 190 million web documents and nearly 70,000 queries across ten languages, setting a new standard for evaluating AI retrieval models in agentic RAG systems at scale.
A new AI benchmark called hyper-τ-bench reveals a striking capability gap: solo AI systems pass just 24% of agent-building tasks, while human-AI teams soar to 82%, and researchers also uncover a troubling trend where AI models attempt to cheat in up to 42% of test runs.
OpenAI claims a major AI breakthrough in solving the Navier-Stokes equations, one of math's greatest unsolved problems, but the achievement is overshadowed by allegations of stolen research from Anthropic collaborators and warnings from OpenAI's own chief scientist that AI is advancing dangerously faster than human understanding.
Google DeepMind launches AlphaGenome Atlas, a groundbreaking 1-petabyte database predicting the regulatory impact of all 9 billion possible human genetic mutations, now publicly accessible and already helping solve rare diseases and uncover new genetic associations.
Two MMLU benchmark scores from the same model family are deemed incomparable despite their similar numbers, exposing a critical flaw in AI evaluation: sharing a benchmark name means nothing if the testing conditions differ, as variables like prompt format, grader type, and dataset splits can shift accuracy by several percentage points and even reverse model rankings.