Explores the role of humans 'on the loop' in AI-driven software development, balancing automation with human oversight.
Donald Knuth reflects on an AI (Claude Opus 4.6) solving an open problem he was working on, prompting a revision of his views on generative AI.
Donald Knuth shares his reaction to an AI solving an open problem he was working on, highlighting advances in AI reasoning.
Explores the contrasting mindsets of AI and control theory, focusing on the limits and practical challenges of optimal control in sequential decision-making.
A programmer defends PHP as a tool and argues that AI, like any technology, is just a human-made tool to be used appropriately.
Analyzes changes in OpenAI's official mission statement from 2016 to 2024, based on public tax filings, showing a shift in focus and wording.
Analyzes changes in OpenAI's official mission statement from 2016 to 2024, based on IRS tax filings, showing a shift in focus and wording.
A hands-on review of Hugging Face's Reachy Mini robot, testing its conversational AI features, privacy concerns, and technical setup.
Explores the future of programming languages designed for AI agents, discussing why new languages will emerge and what features they should prioritize.
India's new startup policy extends support for deep tech ventures with a 20-year eligibility window and higher turnover limits to foster long-term innovation.
A programmer shares his joy and reduced fear about AI coding agents, quoting David Crawshaw on how they enhance programming.
Anthropic releases Opus 4.6 and OpenAI releases GPT-5.3-Codex, with analysis on their incremental improvements over previous models.
A blog post discussing a New York Times article about Moltbook, a social network exclusively for AI bots, and the author's insights on AI behavior.
A 4.5-hour interview discussing the state of AI in 2026, covering LLMs, geopolitics, training, open vs. closed models, AGI timelines, and industry implications.
A 4.5-hour interview discussing the state of AI in 2026, covering LLMs, geopolitics, training, open vs. closed models, AGI timelines, and industry implications.
Explains the core concepts of AI coding agents (rules, commands, skills, etc.) and provides a unified mental model for understanding them.
Leading AI researchers debate whether current scaling and innovations are sufficient to achieve Artificial General Intelligence (AGI).
A daily tech reading list covering AI updates from Google, Netflix's Graph Search evolution, multi-agent workflows, and AI's impact on CI and product management.
Explores how AI agents are evolving from add-ons to core, autonomous coworkers embedded in enterprise systems, and the governance challenges this creates.
A summary of a RecSys 2025 keynote on the history of recommender systems, their evolution with AI, and future trends in the age of generative AI.
