Over 300 gather at MIT's 'Gender, Empire, and AI' symposium where experts challenge Big Tech's AI expansion, arguing that smaller, community-centered tools are more beneficial and sustainable than massive large language models.
MIT researchers unveil a breakthrough uncertainty quantification method that detects overconfident AI responses by measuring disagreement across multiple similar LLMs, significantly reducing hallucinations and outperforming existing approaches across 10 tasks including math reasoning and question-answering.
A powerful new open-source framework called vla-evaluation-harness launches with the ability to evaluate 500+ robot AI models across 17 benchmarks at up to 47x faster speeds, completing 2,000 simulation episodes in just 18 minutes on a single GPU.
Anthropic's survey of 80,000 Claude users across 159 countries finds 32% report significant productivity gains, but 27% fear AI inaccuracy and hallucinations, exposing a growing gap between AI's promise and reality — with critics noting the optimistic findings may not reflect broader public skepticism toward the technology.
Anthropic launches 'Interviewer,' a Claude-powered chatbot conducting adaptive 10-15 minute interviews to study how professionals use AI at work, with early data from 1,250 users revealing 86% say AI saves them time, though 55% still harbor concerns about its future impact.
NVIDIA launches the Nemotron Coalition, uniting Mistral AI, Perplexity, LangChain, and other leading AI labs to co-develop open, frontier-level AI foundation models, with the first project trained on NVIDIA DGX Cloud set to power the upcoming Nemotron 4 model family.
Google DeepMind unveils a groundbreaking AGI progress framework identifying 10 key cognitive benchmarks — including reasoning, memory, and social cognition — while launching a $200K Kaggle hackathon challenging researchers to build evaluations for under-measured AI abilities.
A groundbreaking study reveals that AI tools powered by curated scientific databases dramatically outperform open web-based rivals in expert-level superconductivity knowledge tests, with NotebookLM and a custom retrieval-augmented generation system topping rankings across accuracy, comprehensiveness, and evidence quality — though all tested models still struggle with temporal reasoning and interpreting …
Physical Superintelligence PBC launches 'Get Physics Done,' the first open-source agentic AI physicist, featuring 61 commands, a four-stage research workflow, and support for four major AI runtimes, now available on GitHub and installable with a single command.
Andrej Karpathy releases an open-source tool on GitHub that scores 342 US occupations on AI exposure risk using an interactive treemap and an LLM-powered pipeline, empowering anyone to fork and customize the analysis for insights beyond just digital disruption.