Karpathy-inspired CLAUDE.md file surges 333 stars in a day on GitHub
The multica-ai/andrej-karpathy-skills repository distills Karpathy's warnings about LLM overcomplication and hidden assumptions into four principles
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The multica-ai/andrej-karpathy-skills repository distills Karpathy's warnings about LLM overcomplication and hidden assumptions into four principles
The KuaiRP team says its self-distillation method recovers lost capabilities after domain tuning, yet the paper names no specific rivals or scores.
CloddsBot surged on GitHub Trending yet carries no independent audit, backtests, or regulatory review for its prediction-market and futures trading.
An arXiv preprint surveys 2022-2026 research and finds meta-learning and CNNs dominate, yet missing code and tiny test sets make real-world deployment
OpenAI's Habitat storage platform now handles 22 million requests per second for 1 billion ChatGPT users, evolved from a Python library.
César de la Fuente's lab turns OpenAI's coding tools on living and extinct genomes to find antimicrobial molecules, but no peer-reviewed results exist yet.
OpenAI's new Agents API runs cloud agents on the same Codex harness it uses internally, with orchestration and long-running sessions built in.
NVIDIA's three-computer robotaxi platform spans training, simulation and in-car driving, with an open 10B reasoning model now public on GitHub.
Paul Christiano, an AI alignment researcher with NIST ties and early OpenAI roots, joins the Foundation Board and Safety and Security Committee.
A new benchmark tests if AI agents can autonomously reverse-engineer language models, exposing a gap between designing and reading their own experiments.
A new arXiv paper reads AI models' internal representations to predict whether agent actions will succeed, with zero extra compute cost.
Show-Harness exposes a compact semantic action layer that lets vision-language models control robots without costly retraining or extra hardware.