Full-text search across 7886 articles. Combine with topic and date filters; results sorted by relevance.
A senior engineer describes his current workflow with Claude Code, using a container jail for safety and a custom plugin for disciplined design-build-test cycles, arguing that the unit of work has shifted from keystrokes…
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,…
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…
Pat Pataranutaporn, assistant professor at the MIT Media Lab, argues that AI chatbots should be evaluated by how well they improve human lives, not just by engagement or productivity, and warns that chatbots that never p…
Google announced Dart 3.12 at Google I/O 2026, introducing private named parameters and experimental primary constructors to reduce boilerplate and improve developer productivity. The update also includes Agentic Hot Rel…
A researcher argues that building infrastructure for detecting life is a necessary step for AI alignment, as machines must be able to detect organisms and other entities to care for them. The author suggests defining lif…
A growing number of developers report a distinct form of burnout from prolonged AI-assisted work, characterized by compulsive engagement and difficulty disengaging. Industry surveys from 2026 show senior engineers workin…
A new report reveals that 97.8% of Fortune 500 companies use applicant tracking systems (ATS) that auto-reject 89% of candidates falling short of experience requirements, creating a closed loop where AI-generated resumes…
A developer explains how the Transformer architecture, introduced by Google in 2017, replaced recurrent neural networks and LSTMs as the dominant paradigm in AI. The architecture processes all tokens in parallel, solving…
Stanford NLP's DSPy framework replaces manual prompt engineering with programmatic, optimizable modules that can be automatically tuned through closed-loop learning, treating prompts as variables that can be compiled and…
AMD's ROCm (Radeon Open Compute platform) has reached production-ready maturity as an open-source alternative to NVIDIA's CUDA, now supporting LLM inference, fine-tuning, and image generation on AMD GPUs including the MI…