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OpenAI and Anthropic cut their LLM prices by up to 80% within a few months. Why?
What is “the true cost of a token”?
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,090 posts.
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Classical music generation with recurrent neural networks
Writeup for my first major machine learning project.
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Street Fighter II's AI Engine
By today’s standards, the Artificial Intelligence in Street Fighter 2 World Warrior isn’t very sophisticated. These days, when most people talk about AI they’re talking about mach…
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PyTorch Internals: Ezyang's Blog
This post is a long form essay version of a talk about PyTorch internals, that I gave at the PyTorch NYC meetup on May 14, 2019.
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Born Against, or why hobby programming communities are against LLM usage
I came across a GH thread related to chess engine development that made me think of why hobby programming communities are increasingly hostile toward LLM development. While the thread doesn’t give a lot of insight into answering the question, it prompted me to think about it a bit. I’ve seen similar sentiments…
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Making
TLDR: I gain a lot of fulfillment by making things. I don't consider things built by others at my request to be made by me, and are therefore much less fulfilling. And then I feel sad. This article starts strong and then heads off into the weeds.
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Don't use cosine similarity carelessly
Cosine similarity - the duct tape of AI. Convenient but often misused. Let's find out how to use it better.
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The expanding dark forest and generative AI
Proving you're a human on a web flooded with generative AI content
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Apple's accidental moat: How the "AI Loser" may end up winning
Apple’s accidental moat
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You might not need machine learning
Machine learning is a trendy topic, so naturally it’s often used for inappropriate purposes where a simpler, more efficient, and more reliable solution suffices. The other day I saw an illustrative and fun example of this: Neural Network Cars and Genetic Algorithms . The video demonstrates 2D cars driven by a neural…
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Open Problems in Robotics
Robotics is one of those things the business funny papers regularly wonder about; it seems like consumer robotics is a revolutionary trillion dollar market which is perpetually 20-years away -more…
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Patterns for building LLM-based systems and products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
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The Coming Loop
Loops, harnesses, and why even loop skeptics may end up with them.
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Superpowers: How I'm using coding agents in October 2025
I'm Jesse. I make stuff. Software, hardware. Very occasionally, trouble.
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Speech Recognition Is Not Solved
Ever since Deep Learning hit the scene in speech recognition, word error rates have fallen dramatically. But despite articles you may have read, we still don’t have human-level speech recognition. Speech recognizers have many failure modes. Acknowledging these and taking steps towards solving them is critical to…
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Timeline of the OpenAI accidental attack against Hugging Face
OpenAI gave a last-minute presentation at the Black Hat security on Wednesday about “the Hugging Face Incident” (previously on this blog). The video was published yesterday. It’s short and information …
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I've been waiting over a month for Anthropic to respond to my billing issue
Update (April 9, 2025): Since publishing this post, a human support agent from Anthropic has reached out to me. I appreciate them following up.
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Understanding GPT tokenizers
Large language models such as GPT-3/4, LLaMA and PaLM work in terms of tokens. They take text, convert it into tokens (integers), then predict which tokens should come next. Playing …
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Don't push AI down our throats
AI is being done wrong.
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TPUs vs. GPUs and why Google is positioned to win AI race in the long term
I am publishing a comprehensive deep dive, not just a technical overview, but also strategic and financial coverage of the Google TPU.
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We Found an Neuron in GPT-2
Written in collaboration with Joseph Miller. See the discussion of this post over on LessWrong.
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Anthropic's Scion is heavily inspired by Mononoke
It is important to provide credit.
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Image Scaling Attacks
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: …
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AI is breaking two vulnerability cultures
A week ago the Copy Fail vulnerability came out, and Hyunwoo Kim immediately realized that the fixes were insufficient, sharing a patch the same day. In doing this he followed standard procedure for Linux, especially within networking: share the security impact with a closed list of Linux security engineers, while…
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Could you train a ChatGPT-beating model for $85k and run it in a browser?
I think it’s now possible to train a large language model with similar functionality to GPT-3 for $85,000. And I think we might soon be able to run the resulting …
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My Lethal Trifecta talk at the Bay Area AI Security Meetup
I gave a talk on Wednesday at the Bay Area AI Security Meetup about prompt injection, the lethal trifecta and the challenges of securing systems that use MCP. It wasn’t …
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