risk-aware policy learning for offline bandits
a new method learns safe decision rules from logged data using general risk measures like cvar, with strong theoretical guarantees.
topic
a new method learns safe decision rules from logged data using general risk measures like cvar, with strong theoretical guarantees.
a lightning talk summary of major llm developments from november 2025 to may 2026, including coding agent breakthroughs and open-weight model advances.
anthropic acquires stainless, the sdk automation startup used by openai, google, and cloudflare, and will shut down its hosted products.
sandboxaq integrates its physics-grounded quantitative models into anthropic's claude, letting researchers run complex simulations through plain language prompts.
musk's openai lawsuit dismissed, new tools for local ai and ocr, and research on hidden bias in language models.
paddleocr 3.5 lets developers run ocr and document parsing models with a hugging face transformers backend, reducing integration friction for rag and document ai workflows.
a california jury found elon musk's claims against openai and sam altman were filed too late, removing a major legal threat before openai's reported ipo.
data jobs now demand data modeling, performance optimization, infrastructure awareness, and practical ai skills beyond basic sql and python.
pytorch 2.11 now publishes cuda-enabled wheels for aarch64 linux on pypi, removing the need for custom indexes and workarounds when deploying on nvidia grace hopper and grace blackwell systems.
a new executorch backend enables gpu-accelerated inference on apple silicon macs using apple's mlx framework, with broad model and quantization support.
instruction-tuned language models show fair outputs but retain biased internal representations that can reverse decisions when activated.
a guide to parameter-efficient fine-tuning of nvidia cosmos predict 2.5 using lora and dora for generating synthetic robot manipulation videos.
amazon's alexa+ gets a new feature that creates ai-generated podcast episodes from any topic, with customizable length and tone.
a trust-region method for fine-tuning multi-agent llm teams avoids compounding errors from stale rollouts, outperforming baselines by 7.1%.
a new open benchmark evaluates complete agent systems, not just models, across six diverse tasks to measure generality, quality, and cost.
a technical writer shares five real-world tasks done with local llms, from private document search to offline assistants and code review, showing local models can be better than cloud for privacy and control.
south korean startup letinar develops pintilt lens tech to make ai smart glasses thinner, lighter, and more power-efficient.
deepslide is a multi-agent system that helps prepare entire presentations, from planning and slide creation to rehearsal support.