6,588 GitHub repos tagged with NAICS industry codes
NAICS-GH labels 6,588 GitHub repositories with industry sectors at 96.98% precision, enabling research into where open-source code actually comes from.
A newsletter breaking down AI research, technology, and Australian property in plain English
Daily AI and technology news decoded in plain English — models, chips, agents and research, and what each development actually means for you and your business.
418 stories
NAICS-GH labels 6,588 GitHub repositories with industry sectors at 96.98% precision, enabling research into where open-source code actually comes from.
A preprint audit across five LLMs finds refusal lives in a redundant subspace — and trusted rank-stable methods can be the least causally valid.
MedPMC's 11M curated medical image-text pairs trained a CLIP model beating larger datasets by 7.1 points — 95% of its images are actually medical.
LLM hidden states hold richer confidence than models verbalise; a new method extracts it before generation finishes, affecting any AI system needing to know whe
Researchers propose SPELLSMITH, which rewrites MCP server tool descriptions to steer LLM agents away from taint-style vulnerabilities without code changes.
A new arXiv study finds ChatGPT sends users to external sites in just 5.2% of sessions, cutting Google search use 9.4% and reshaping the web's referral economy.
SciReasoner, a multimodal model for structural reasoning across proteins, molecules and crystals, matches frontier LLMs in 98% of expert reviews.
A new arXiv preprint reframes neural network training as optimal control, inserting layers where error is highest — but evidence is limited to scientific datase
OpenAI's new analysis exposes reliability issues in SWE-bench Pro — the very benchmark it recommended to replace the contaminated SWE-bench Verified — leaving A
OpenAI Academy and the Walton Family Foundation are launching hands-on AI Skills Jams to help K-12 educators build practical classroom AI skills.
Anthropic researchers found a small broadcast hub of silent concepts inside Claude — the J-space — that drives its deliberate reasoning, and built a lens that lets them watch it think.
An ETH Zurich preprint proves four discrete diffusion methods optimize the same object — and reveals why one popular parameterization diverges at initialization