151
As an experienced LLM user, I don't use generative LLMs often
But for what I do use LLMs for, it’s invaluable.
152
It's easier than ever to de-censor videos
Last month I asked people to hack part of my YouTube video, specifically to de-pixelate the contents of a folder I had pixelated starting at the 4:57 mark. Your browser does not support the video tag. For years, people have used the censor tool to blur or pixelate out parts of videos where there's sensitive…
153
Building a personal, private AI computer on a budget
As everyone is well aware, the world is still going nuts trying to develop more, newer and better AI tools. Mostly by throwing absurd amounts of money at the problem. Many of those billions go towards building cheap or free services that operate at a significant loss. The tech giants that run them all are hoping to…
154
Are LLMs able to notice the “gorilla in the data”?
One paper that caught my attention a bit ago was Selective attention in hypothesis-driven data analysis by Itai Yanai and Martin Lercher. In their study, students who were given specific hypotheses to test were much less likely to notice an obvious “gorilla in the data” compared to students who explored the data…
155
LLM Year in Review
2025 Year in Review of LLM paradigm changes
156
TL;DR of Deep Dive into LLMs Like ChatGPT by Andrej Karpathy
A TL;DR version of Andrej Karpathy's "Deep dive into LLMs like ChatGPT" video.
157
Writing an LLM from scratch, part 8 – trainable self-attention
Moving on from a toy self-attention mechanism, it's time to find out how to build a real trainable one. Following Sebastian Raschka's book 'Build a Large Language Model (from Scratch)'. Part 8/??
158
I don't think AGI is right around the corner
Continual learning is a huge bottleneck
159
Avoiding skill atrophy in the age of AI
How to use AI coding assistants without letting your hard-earned engineering skills wither away.
160
I got an Nvidia GH200 server for €7.5k on Reddit and converted it to a desktop
ML, Biotech, Hardware, and Coordination Problems. Sometimes I write about hard problems and how to solve them.
161
Hallucinations in code are the least dangerous form of LLM mistakes
A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination—usually the LLM inventing a method or even a full …
162
LLMs aren't world models
I believe that language models aren’t world models. It’s a weak claim — I’m not saying they’re useless, or that we’re done milking them. It’s also a fuzzy-sounding claim — with its trillion weights, who can prove that there’s something an LLM isn't a model of? But I hope to make my claim clear and persuasive enough…
163
The Generative AI Con
It's been just over two years and two months since ChatGPT launched, and in that time we've seen Large Language Models (LLMs) blossom from a novel concept into one of the most craven cons of the 21st century — a cynical bubble inflated by OpenAI CEO Sam Altman built
164
Flunking my Anthropic interview again
I didn't misclick any buttons. My best wasn't good enough. I'm not good enough.
165
The Bitter Lesson Is Misunderstood
Together, the Bitter Lesson and Scaling Laws reveal that the god of Compute we worship is yoked to an even greater one — the god of Data.
166
Language models pack billions of concepts into 12k dimensions
In a recent 3Blue1Brown video series on transformer models, Grant Sanderson posed a fascinating question: How can a relatively modest embedding space of 12,288 dimensions (GPT-3) accommodate millions of distinct real-world concepts? The answer lies at the intersection of high-dimensional geometry and a remarkable…
167
AI in my plasma physics research didn’t go the way I expected
I used AI in my plasma physics research and it didn’t go the way I expected.
168
AI capex is so big that it's affecting economic statistics
AI capex is so big that it's affecting economic statistics, boosting the economy, and beginning to approach the railroad boom
169
After months of coding with LLMs, I'm going back to using my brain
I've been building MVPs and SaaS products for 15 years. Let's work together on your next project.
170
Will Smith's concert crowds are real, but AI is blurring the lines
Will Smith is being accused of generating fake fans with AI, but it's complicated: the crowds are real, but the videos were manipulated by Smith's team and YouTube itself.
171
Tokens are getting more expensive
"language models will get cheaper by 10x" will not save ai subscriptions from the short squeeze
172
AI slows down open source developers. Peter Naur can teach us why
Metr recently published a paper about the impact AI tools have on open-source developer productivity[^1]. They show that when open source developers working in codebases that they are deeply familiar with use AI tools to complete a task, then they take longer to complete that task compared to other tasks where they…
173
GPT-5 Thinking in ChatGPT (a.k.a. Research Goblin) is good at search
“Don’t use chatbots as search engines” was great advice for several years... until it wasn’t. I wrote about how good OpenAI’s o3 was at using its Bing-backed search tool back …
174
Making games in Go: 3 months without LLMs vs. 3 days with LLMs
After 15 years as a software engineer, I realized I had never actually built and published a game.
175
A Remarkable Assertion from A16Z
A friend made me aware of a reading list from A16Z containing recommendations for books, weighted towards science fiction since that’s mostly what people there read.
176
We're losing our voice to LLMs
We are losing something precious in the age of LLMs: our unique voices.
177
Field Notes from Shipping Real Code with Claude
Note: This post comes with a NotebookLM podcast (1linked at the bottom), and three generated audio recordings. You can read the conversation I had
178
I know when you're vibe coding
I shouldn't have to care about this. I don't want to care about how someone's code gets into the IDE. Whether you wrote it by hand, copied it from a forum, prom
179
Three Years from GPT-3 to Gemini 3
From chatbots to agents
180
Evidence that AI is destroying jobs for young people
A big nerd debate with bigger implications for the future of work, technology, and the economy