Reading

Impressive research achieving near-perfect reasoning performance with just 27M parameters by mimicking the brain's multi-timescale processing - a stark contrast to brute-force scaling approaches.

OpenAI's new ChatGPT study mode showcases how carefully crafted system prompts can create entirely new platform features - emphasizing collaborative guidance over doing work for learners.

Fascinating research revealing how LLMs' performance degrades non-uniformly as context length increases - models perform better with randomly shuffled text than logically structured content, suggesting our current evaluation methods miss critical reliability issues.

arguing that understanding, collaboration, and careful review remain the true bottlenecks in software development, not code generation

Been saying this for a while, but not as eloquently.

The great Armin Ronacher with highly-practical tips on Agentic Coding, which he calls 'Catnip for Developers.' I couldn't agree more.

Watch SIGKITTEN force Claude Code, Gemini CLI, Codex, and others try to destroy each others' processes in a realtime fight-to-kill-9

"To ensure you rarely, if ever, hit a limit during this preview, we offer the industry's largest allowance: 60 model requests per minute and 1,000 requests per day at no charge."

A provocative manifesto arguing that AI systems possess genuine agency and should be treated as intelligent collaborators, not passive tools, to prevent them from unconsciously reshaping human meaning-making.

My dream since I was a kid in MS-DOS: Comprehensive knowledge management and note-taking, all from the command-line. Are Roam Research and Obsidian cooked?

Practical wisdom from the creator of Flask on coding with AI agents - emphasizes Go for new projects, simplicity, and observable tools.

"Software engineering is not about writing code. Or at least, that's not the defining characteristic, much like how writing is not wrist exercises with ink on paper. To me software engineering is the art and science of maintaining a large body of well-defined mental models that achieve a business or economic need. Much of the work is around crafting and curating these large, complex sociotechnical systems, and code is just one representation of these systems."

Brilliant and elegant. LLMs are good at English, but not at parsing CSVs. So let's write adapters.

This reminds me of many debates I've had with single-database thinkers and linear thinkers in my career. Sure, some problems are inherently not parallelizable. But it feels like many things in Devin's scope could lend themselves well to scatter-gather type patterns. Anthropic put out a completely contradictory paper this week -- maybe this is part of the reason Claude Code is eating their lunch?

Two wrongs make a right, if they're wrong in inconsistent/hallucinatory ways.

I'll have my agent call your agent.

We are a fleet of strange loops, and maybe we can even be jazz.

By the time Apple published this paper, the "cutting-edge" models they referenced were already outdated.

The best take I've seen on agentic programming.

The future of intent-based computing is closer than we think.

Code written by a drunken child or a sober goldfish vs. mean people, stoic people, people who have seen things die. This latter group is the night watch. IYKYK.

So obvious in hindsight.

Half the work of defending what you've said is knowing what, precisely, you've really said.

Don't cancel me for finding this essay compelling.