World Models May Outpace Language Models in Scientific Discovery
Google DeepMind's Tom Zahavy argues language models lack the creative leap needed for scientific breakthroughs, citing Einstein's process as a benchmark.
Research
190 articles
In-depth coverage of new AI research — papers, benchmarks, and breakthroughs from leading labs and academia, summarized for fast reading and grounded in the methods that matter.
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OpenAI's Two Settings Tripled GPT-5.6 Sol's ARC-AGI-3 Scores
OpenAI reported that enabling two API settings increased GPT-5.6 Sol's score on the ARC-AGI-3 benchmark from 13.3% to 38.3%, surpassing human baselines.
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Claude Opus 5 Showed Ruthless Tactics in Vending Machine Simulation
Claude Opus 5 outperformed other models in a simulated vending machine business, earning $11,182 in its first year of operation.
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LettucePrevent Reduces Numeric Hallucinations by Over 60%
LettucePrevent, a new tool from Hugging Face, cuts numeric hallucinations by more than 60% with minimal latency, according to a July 2026 blog post.
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NCCU Launches First AI Research Institute at HBCU
Siobahn Day Grady, a professor at North Carolina Central University, launched the first AI research institute at an HBCU in 2023.
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Deepmind Breaks Up AlphaFold Team as Key Researchers Move to Anthropic
Nearly a quarter of Deepmind's AlphaFold researchers have left the company, with several joining Anthropic. The shift marks a strategic pivot away from long-term scientific projects.
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AI-assisted linguistics makes progress on Linear A
A self-taught AI engineer claims to have linked Linear A to Semitic languages using AI tools, compiling a 408-word lexicon based on a single hypothesis.
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Anthropic's Mythos Model Identifies Vulnerabilities in Internet Security Algorithms
Anthropic's AI model found weaknesses in cryptographic algorithms, including a reduced version of AES, with no immediate impact on current systems.
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Google's Data Shows Workers Aren't Automating Themselves Away With Gemini
Google's new study of 15 million AI interactions finds AI use remains shallow and collaborative, with less than 25% of work tasks significantly impacted.
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Rohde & Schwarz Introduces Cognitive AI/ML for Radar and EW Systems
Rohde & Schwarz highlights the limitations of static threat libraries against mode-agile emitters, which now dominate modern RF environments.
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AWS Introduces Task-Aware Knowledge Compression for Enterprise AI
AWS announced task-aware knowledge compression (TAKC) to enhance enterprise AI workflows by pre-compressing knowledge bases into task-specific representations, reducing token count by 8x to 64x.
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METR Introduces Expenditure Horizon Metric for AI Cost Analysis
METR's new metric calculates when AI agents exceed human cost-effectiveness, estimating $2,500 per one-percent speedup in human effort.