The Pope Should Have Gone Further on AI
Economist Daron Acemoglu responds to Pope Leo XIV’s first encyclical, which characterized AI development as a threat to human dignity.…
Economist Daron Acemoglu responds to Pope Leo XIV’s first encyclical, which characterized AI development as a threat to human dignity.…
Jeffrey Sonnenfeld and co-authors argue in this Yale Insights analysis that AI’s labor market impact is showing up primarily through…
This Harvard Business Review article, drawing on research from Boston Consulting Group and academic collaborators, examines the trend of organizations…
This essay argues that the discourse around superintelligence, largely shaped by the same companies building the technology, functions as a…
OpenAI engineers used population-level analysis of core dumps rather than case-by-case inspection to separate a mysterious recurring crash in its…
The SGLang team and NVIDIA achieved a 5x improvement in DeepSeek-V4 throughput on NVIDIA GB300 GPUs since the model’s Day-0…
TokenSpeed-Kernel is an open-source subsystem that simplifies LLM inference backend complexity through a layered API and registry system separating high-level…
Miles is an open-source framework from RadixArk built to address the distributed-systems challenges of large-scale reinforcement learning post-training for LLMs.…
AMD and Meta ported PyTorch Monarch, a distributed training framework, to AMD Instinct GPUs via ROCm, enabling fault-tolerant distributed training…
PyTorch introduced Cross-Repository CI Relay (CRCR), a system that automatically triggers continuous integration in downstream repositories whenever pull requests or…
Google DeepMind introduced an AI Control Roadmap, a security framework for managing increasingly capable AI agents deployed internally by treating…
This article introduces a metacognition benchmark and leaderboard designed to measure whether large language models can recognize their own errors…