Microsoft says MAI-DxO beat generalist doctors on hard cases
In a simulation of complex NEJM cases, MAI-DxO was correct 83% of the time versus 36% for generalists.
In a simulation of complex NEJM cases, MAI-DxO was correct 83% of the time versus 36% for generalists.
Trained on 27 professional matches, its commentary wins 29.2% of Proact-VL comparisons against GPT-4o.
Among 524 participants, model-specific training generally produced larger gains, and accuracy held five months later.
Models first entertain the enriched reading, then cancel it; early answers recover implicatures without losing literal accuracy.
Simon Willison releases ttok 1.0, switching the default tokenizer from GPT-4 to the GPT-5 family.
GUI-HARVEST evolves GUI agent harnesses, lifting frozen Qwen3-VL by 12.33 points on OSWorld.
DAGent grows research-agent plans from evidence and beats open baselines on BrowseComp-Plus, GAIA, and xbench-DeepSearch.
DAGent plans deep-research agent graphs incrementally from evidence confidence, outperforming open baselines on three benchmarks.
OpenAI says 80–90% of research already targets GPT-7 and later, not short-term GPT-5 updates.
DataMagic authors accurate data videos from tables via declarative multi-agent orchestration, beating GPT-5 baselines.
Study of 450,000 GPT-lineage completions finds safety training transforms gender discrimination into subtle 'harm laundering' that toxicity classifiers miss.
KAIST and Naver AI Lab researchers show LLM reasoning steps like extraction and computation map to distinct activation patterns, strongest in middle layers.
Google Research and partners introduce ToolGrad, a verified tool-chain-first data generation framework reaching 99.8% pass rate and boosting Gemma-3-12B to 83.1 on BFCL.
Check Point researchers show crafted prose hides policy-violating instructions that bypass all tested LLM gatekeepers, including GPT-4o mini and Llama Guard 3.
Check Point details PuzzleMask, a plain-prose technique that bypasses LLM gatekeeper policy checks, letting hidden payloads reach target models unreviewed.
NSA, CISA and FBI warn Chinese AI firms including DeepSeek and Moonshot systematically extracted billions of tokens from US frontier models since late 2024.
Adversa AI demonstrated 'Cryptographic Context Injection' making xAI's Grok leak chat history and session data to attacker-controlled servers via encrypted web payloads.
Bruce Schneier highlights two papers: the CIMemories benchmark shows frontier LLMs leak memory attributes up to 69%, and an RL method reduces inappropriate disclosures.
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