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A guide to local coding models
What you need to know about local model tooling and the steps for setting one up yourself
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AI surveillance should be banned while there is still time
All the same privacy harms with online tracking are also present with AI, but worse.
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OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI
One of the things that most excited me about Anthropic’s new Skills mechanism back in October is how easy it looked for other platforms to implement. A skill is just …
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Death by AI
One man's struggle with his mortality.
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Horses: AI progress is steady. Human equivalence is sudden
AI progress is steady. Human equivalence is sudden.
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The Illustrated DeepSeek-R1
A recipe for reasoning LLMs
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My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
I wrote about the new GLM-4.5 model family yesterday—new open weight (MIT licensed) models from Z.ai in China which their benchmarks claim score highly in coding even against models such …
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AI Blindspots – Blindspots in LLMs I've noticed while AI coding
Blindspots in LLMs I’ve noticed while AI coding. Sonnet family emphasis. Maybe I will eventually suggest Cursor rules for these problems.
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What's the strongest AI model you can train on a laptop in five minutes?
What’s the strongest model I can train on my MacBook Pro in five minutes? I’ll give the answer upfront: the best 5-minute model I could train was a ~1.8M-param…
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A new Google model is nearly perfect on automated handwriting recognition
A mysterious new model currently in testing on Google’s AI Studio is nearly perfect on automated handwriting recognition but it is also showing signs of spontaneous, abstract, symbolic reasoning.
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I failed to recreate the 1996 Space Jam website with Claude
Can Claude Recreate the 1996 Space Jam Website? No. Or at least not with my prompting skills.
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Production RAG: what I learned from processing 5M+ documents
Lessons learned from building RAG systems for Usul AI and enterprise clients, processing over 13 million pages.
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AI is a front for consolidation of resources and power
Best case: we're in a bubble. Worst case: the people profiting most know exactly what they're doing.
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LLM from scratch, part 28 – training a base model from scratch on an RTX 3090
I felt like it should be possible to train a GPT-2 small level model on my own hardware using modern tools and open datasets from scratch. It was!
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Beliefs that are true for regular software but false when applied to AI
Can't you just turn it off?
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I used o3 to profile myself from my saved Pocket links
Welp, Pocket shuts down tomorrow despite our pleas for it to stay. While migrating1 all of my saved articles, I noticed that I’ve got almost 900 saved articles spanning nearly 7 years. That’s a goldmine of stuff-I-like data! Some quick analysis using xsv2: 𝄢 unzip pocket.zip && xsv headers part_000000.csv 1 title 2…
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How I use every Claude Code feature
A brain dump of all the ways I've been using Claude Code.
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Comprehension debt: A ticking time bomb of LLM-generated code
Psst. If your boss won’t invest in training you in Specification By Example (BDD, ATDD), I’m running out-of-hours workshops on May 12 and 16 specifically for self-funding learners. £99 + UK VAT. An…
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Nobody knows how to build with AI yet
The future of software development might just be jazz. Everyone improvising. Nobody following the sheet music.
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My LLM codegen workflow
A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.
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Everything wrong with MCP
Explaining the Model Context Protocol and everything that might go wrong.
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Are OpenAI and Anthropic losing money on inference?
Deconstructing the real costs of running AI inference at scale. My napkin math suggests the economics might be far more profitable than commonly claimed.
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An LLM is a lossy encyclopedia
Since I love collecting questionable analogies for LLMs, here's a new one I just came up with: an LLM is a lossy encyclopedia. They have a huge array of facts …
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AI is stifling new tech adoption?
AI coding assistants are React evangelists.
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Deep Learning Is Applied Topology
Everything lives on a manifold
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The Illustrated Transformer
Discussions: Hacker News (65 points, 4 comments), Reddit r/MachineLearning (29 points, 3 comments) Translations: Arabic, Chinese (Simplified) 1, Chinese (Simplified) 2, French 1, French 2, Italian, Japanese, Korean, Persian, Russian, Spanish 1, Spanish 2, Vietnamese Watch: MIT’s Deep Learning State of the Art lecture…
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I’m worried that they put co-pilot in Excel
I'm worried that they put co-pilot in Excel because Excel is the beast that drives our entire economy and do you know who has tamed that beast? Brenda. Who is …