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LlamaIndex and Kaggle launch a schema-guided document extraction benchmark that grades models on missing fields, source grounding, and repeated records across 370 enterprise files.
Claude autonomously wrote a 13 million line Lean proof of Fermat's Last Theorem in 11 days, verifying 29,500 supporting theorems along the way.
GitHub's new research preview routes each coding task through single, cascade, or critique workflows across multiple models, beating Opus 5 at a fraction of the cost.
Warp launches Factory Benchmarks, letting teams replay real agent runs to pick the best model per task and cut cost-per-PR from $80 to $30.
Microsoft AI's new speech recognition model hits 2.0% word error rate at 411x real time speed for $1.67 per 1,000 minutes.
A new generative retriever leverages the table of contents to hit 82.6% Recall@1 on a fresh 18-book benchmark, with hallucinations under 0.05%.
A new 365-day simulation drops LLM agents into a deterministic marketplace with ¥100,000, real supplier data, and fraudsters, and no model wins everything.
Artificial Analysis rebuilt its Image Editing Arena with a two-axis taxonomy of editing actions and use cases, revealing which model wins each specific task.
Multiverse Computing's Quasar 438B tops European AI rankings with a 43 Intelligence Index score and 15.3-second reasoning responses.
Independent evaluations put Anthropic's new flagship at the top of the intelligence charts, but the win comes with a token-count tax that eats the cache savings.
Lovable's new default coding model gains 17% on the hardest fix-and-iterate tasks while cutting cost by 31%, with sharper self-verification and visual taste.
Meta Superintelligence Labs' new real-time speech model tops streaming ASR and diarization benchmarks, handles 20+ speakers, and ships at $0.18 per hour.
Google's new 330M-parameter time series foundation model handles multivariate forecasting zero-shot in a single forward pass, topping Gift-Eval, FEV-Bench and Time.
Z.ai shipped a frontier coding model without touching the base weights, matching GPT-5.6 Sol and Claude Fable 5 on agentic tasks through scaled post-training alone.
Apodex 1.1 lands with an Elo of 1348 on GDPval-AA v2, beating DeepSeek V4 Pro and Kimi K2.6 on real-world agentic work.
Broad Institute researchers unveil a framework that separates score-chasing from real scientific reasoning, exposing where Claude, GPT, and Gemini break down.
Perplexity's new Search API takes the top three spots on the Artificial Analysis Search Index, extending the quality-cost Pareto frontier for agentic search.
Epoch AI's EBR-bench human baseline shows people quickly outclass frontier models at Earthborne Rangers, exposing a real learning gap.
Sesame releases an open benchmark that scores voice agents on when they speak, yield, or stay silent, exposing where every current system fails.
Singapore lab Sapiens AI pushes its Agnes 2.5 Pro model to 49 on Artificial Analysis Intelligence Index through agentic gains, but at roughly double the token cost.
Google DeepMind's new cryptographic testing setup lets outside auditors evaluate Gemini without ever seeing model weights or leaking their prompts.
Anthropic opened its internal Clio analysis tool to Stanford, Oxford, and METR, letting outside researchers query 250,000 real Claude conversations without seeing them.
Artificial Analysis now zeros out Terminal-Bench runs where coding agents pass tasks by fetching benchmark solutions online instead of solving them.
NVIDIA's new inference accelerator hit 3,431 tokens/second on Gemma 4 31B at 100K context, roughly 4x the fastest public endpoint in third-party testing.
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