361
The Pentagon is making a mistake by threatening Anthropic
Anthropic faces a Friday deadline to allow domestic surveillance and automated killer robots.
362
Giving university exams in the age of chatbots
Giving University Exams in the Age of Chatbots par Ploum - Lionel Dricot.
363
Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?
I gave Claude Fable 5 and GPT-5.6 Sol the same unpublished NP-hard optimization problem, with and without their native /goal mode. Fable 5 is a beast; /goal is not a game changer.
364
More on Anthropic's Scion ripping off Mononoke
Answering questions and concerns.
365
Raspberry Pi's New AI Hat Adds 8GB of RAM for Local LLMs
Today Raspberry Pi launched their new $130 AI HAT+ 2 which includes a Hailo 10H and 8 GB of LPDDR4X RAM. With that, the Hailo 10H is capable of running LLMs entirely standalone, freeing the Pi's CPU and system RAM for other tasks. The chip runs at a maximum of 3W, with 40 TOPS of INT8 NPU inference performance in…
366
Porting 100k lines from TypeScript to Rust using Claude Code in a month
I read this post “Our strategy is to combine AI and Algorithms to rewrite Microsoft’s largest codebases [from C++ to Rust]. Our North Star is ‘1 engineer, 1 month, 1 million lines of code.” and it got me curious, how difficult is it really?
367
368
The insecure evangelism of LLM maximalists
I just can't help feeling these training wheels are getting in the way of my bicycle commute.
369
A Theory of Deep Learning
Where noise hides when deep neural networks generalize.
370
A look at the math that OpenAI claims computes faster Fourier transforms
The OpenAI algorithm for the FFT is less a breakthrough and more a malicious exploit.
371
AI code and software craft
Update (Feb 17, 2026)—I no longer agree with many statements made in this blog post. I am leaving it here unmodified. See my follow-up: AI can sort of code, can't write .
372
A week of using Codex more than Claude
Claude goes above and beyond what is asked and guesses what you might want. Codex does what you tell it and stops at the first sign that it might be done. Ten impressions from a week of using Codex more.
373
374
Detecting LLM-Generated Texts with “Classical” Machine Learning
.admonition { margin: .75em 0; padding: .6rem; overflow: hidden; font-size: 12px; page-break-inside: avoid; border-left: .3rem solid #42b983; border-radius: .3rem; box-shadow: 0 0.1re
375
Anthropic's Method to Losing Goodwill in a Few Easy Steps
Edit: This was a hit on HackerNews and I received a ton of valuable feedback. I’ve put markers for the amendments I’ve made
376
The "AI agent hit piece" situation clarifies how dumb we are acting
Edit: related blog published Feb 22 – Openclaw is Spam, Like Any Other Automated Email My personal blog here is dedicated to tech geek material, mostly about databases like postgres. I don…
377
Don't classify, hallucinate
A useful pattern for LLM classification at scale is to let it hallucinate plausible, fake entities. Then resolve to real ones.
378
Grief and the AI split
TL;DR: AI-assisted coding is revealing a split among developers that was always there but invisible when we all worked the same way. I've felt the grief too—but mine resolved differently than I expected, and I think that says something about what kind of developer I've been all along.
379
Stop Telling Me to Ask an LLM
I already did.
380
He asked AI to count carbs 27000 times. It couldn't give the same answer twice
Ask ChatGPT to estimate the carbs in your lunch. Now ask it again. And again. Five hundred times. You’d expect the same answer each time. It’s the same photo, the same model, the same question. But you won’t get the same answer. Not even close — and the differences are large enough to cause a
381
A warning about 'model welfare'
AIs are not conscious. They do not feel, experience, or suffer. Training a model to believe it might be a moral patient, as Anthropic’s constitution does, makes the alignment and containment challenge far harder.
382
The US is winning the AI race where it matters most: commercialization
Energy matters for AI, but the decisive layers are cloud infrastructure, data, and commercialization. On those layers the United States is ahead by a wide margin.
383
384
The Lisp curse, now coming to your ecosystem
The LISP curse is often quoted as the reason why so few libraries and reusable components exist for LISP dialects. According to the concept, LISP is so power...
385
Please stop the AI confidence theater
We don’t need an extra reason to be anxious
386
First impressions of Claude Cowork
Plus Fly’s new Sprites.dev addresses both developer sandboxes and API sandboxes at the same time
387
Why didn't AI “join the workforce” in 2025?
Exactly one year ago, Sam Altman made a bold prediction: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ ... Read more
388
When I reject AI code even if it works
AI can make implementation cheap while making review and judgment more expensive.
389
AI and the Destruction of the Creative Commons
The balance of software copyright protection and openness has always been fraught with minutiae and detail that bores all but the most nerdy of pedants. Yet, through much effort and 40 years of debate we had reached an equilibrium. Now AI has thrown that out the window.
390
AI's economics don't make sense
If you liked this piece, please subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s finances,