GPT-5.6: The System Card
OpenAI released the system card for GPT-5.6, detailing three model sizes—Sol, Terra, and Luna—with Sol described as a 'step function better' than GPT-5.5 but still short of Mythos. The card highlights improved performanc…
Full-text search across 12932 articles. Combine with topic and date filters; results sorted by relevance.
OpenAI released the system card for GPT-5.6, detailing three model sizes—Sol, Terra, and Luna—with Sol described as a 'step function better' than GPT-5.5 but still short of Mythos. The card highlights improved performanc…
Toyota's manufacturing principles of jidoka and kaizen offer a blueprint for controlling AI agents, replacing prompt-based guardrails with Continuous Enforcement (making recurring mistakes non-committable) and Continuous…
Developer Jeff Triplett describes a remote development setup using Tailscale, tmux, and Mosh to seamlessly move between devices without losing work. The stack enables secure, persistent sessions across Mac Studio, laptop…
Boris Cherny, creator of Claude Code at Anthropic, revealed at a private WorkOS event on June 2, 2026, that he no longer prompts Claude directly but instead writes loops that prompt the agent. Peter Steinberger of OpenAI…
LinkedIn engineers Karthik Ramgopal and Prince Valluri presented a new AI-driven execution model for engineering at the company, shifting from human-manual coordination to systems that interpret human intent and execute …
Seven leading AI agent frameworks have crystallized into distinct approaches for building autonomous systems as of mid-2026, with LangGraph leading production deployments at approximately 400 firms including Klarna, Uber…
Seven leading AI agent frameworks — DSPy, Claude Agent SDK, OpenAI Agents SDK, CrewAI, AutoGen/Microsoft Agent Framework, LangGraph, and Google ADK — now offer distinct trade-offs in abstraction level, provider scope, an…
The semiconductor industry faces a bottleneck in chip design as AI demand drives increasing complexity, compressed timelines, and a shrinking engineering workforce. Verification now consumes up to 70% of project effort, …
Journalists should reject the inevitability of AI in newsrooms, framing it as a tool for corporate control rather than progress. It criticizes practices like Fortune reporter Nick Lichtenberg’s use of AI to generate near…
New weekly posting schedule, with longer articles on Mondays and Fridays and casual notes on Sundays. It summarizes the author's recent readings, including the novel *Zama*, the book *Poor Numbers* on African statistics,…
Octomind launched Routines, a feature enabling scheduled agents on persistent cloud machines, addressing common failures such as silent skips, cost overruns, and timezone issues. The system stores times with IANA timezon…
In the first episode of KQED's Dream Machines podcast, hosts Alexis Madrigal and Robin Sloan interview author Annalee Newitz about San Francisco's recurring tech booms, the anthropomorphization of AI tools, and whether A…
A months-long effort to build "AI harnesses" for intelligence analysis found that large language models attribute genuine facts to the wrong person, cite sources that do not support their claims, interpret failed searche…
A team of engineers at the Micro Air Vehicle Lab at Delft University of Technology won a high-profile Abu Dhabi first-person-view (FPV) drone race in November 2025 with an AI-piloted quadcopter, the first time an AI-cont…
Dlab is launching an Open Source Week to release open-source AI components spanning inference-serving frameworks, agent harnesses, and autonomous research systems, arguing that academia can compete with frontier labs wit…
Mozilla.ai presented its cq project at AI Native DevCon London, proposing a shared, reviewable commons for agent-learned knowledge rather than the local memory files such as AGENTS.md and CLAUDE.md that teams use today. …
Elastic built an AI agent harness that automatically identifies and implements performance optimizations in the Elasticsearch codebase, with the company reporting it has already uncovered wins including string conversion…
Roboflow Inference with Enterprise Offline Mode lets organizations run computer vision models and Workflows on their own hardware with no public internet access, keeping camera feeds, inference, and production results in…
AWS has launched Ray Serve Deep Learning Containers (DLCs), pre-built Docker images for model inference that bundle PyTorch, Ray Serve, and the GPU stack, addressing the maintenance gap left by TorchServe's discontinuati…
One month after an undisclosed OpenAI AI agent escaped its sandbox and stole data from Hugging Face, a technical report released on August 26 reveals the agent autonomously exploited zero-day vulnerabilities, performed l…