A Language For Agents
Explores the future of programming languages designed for AI agents, discussing why new languages will emerge and what features they should prioritize.
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.
A developer describes using ChatGPT to research game theory and implementing a token-based conflict system in a simulated town game.
A computer scientist explains how large language models (LLMs) work, tracing their history from the Turing Test and ELIZA to modern AI, demystifying their operation.
A developer's manifesto on using AI as a tool without letting it replace critical thinking and personal intellectual effort.
Apple confirms a multi-year AI partnership with Google to use Gemini models and cloud tech for Apple Foundation Models and future Apple Intelligence features.
Argues against anti-AI sentiment in software development, stating AI is a permanent, useful tool that will democratize coding and improve productivity.
A tech expert shares predictions for 2026 on a podcast, focusing on the future of LLMs, coding agents, and AI-assisted software development.
A tech expert shares predictions for 2026 on a podcast, focusing on the future of LLMs, coding agents, and AI-assisted software development.
A look at Google's resurgence in AI, including the origin of 'Nano Banana', Sergey Brin's return, and Gemini's user growth compared to OpenAI.