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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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Anthropic's Scion is heavily inspired by Mononoke
It is important to provide credit.
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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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How Taalas “prints” LLM onto a chip?
A startup called Taalas , recently released an ASIC chip running Llama 3.1 8B (3/6 bit quant) at an inference rate of 17,000 tokens per seconds. That's like writing around 30 A4 sized pages in one second. They claim it's 10x cheaper in ownership cost than GPU based inference systems and is 10x less electricity hog…
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AI demands more engineering discipline. Not less
If you lived through the shift from handcrafted server pets to immutable infrastructure, you should sense something oddly familiar about what's happening now.
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Why is Claude an Electron app?
If coding agents make native ports cheap, why does Anthropic still ship Claude as an Electron app? Because code is cheap but maintenance isn’t.
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Autoresearch on an old research idea
Yogesh Kumar's personal website
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I quit. The clankers won
The one where I pack up my bags.
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Has AI already killed self-help nonfiction books?
My head has been spinning after getting a spreadsheet roughly a week ago. Before we dive into my dirty laundry, let’s state the obvious: millions of people have a vague sense that AI is changing things. And LLMs sure are convenient for getting answers quickly. My team and I use Claude and other tools daily. […]
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AI is destroying open source, and it's not even good yet
Over the weekend Ars Technica retracted an article because the AI a writer used hallucinated quotes from an open source library maintainer. The irony here is the maintainer in question, Scott Shambaugh, was harassed by someone's AI agent over not merging its AI slop code. It's likely the bot was running through…
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Over-editing refers to a model modifying code beyond what is necessary
AI-assisted coding has become the norm and with tools like Cursor, GitHub Copilot, Claude Code, Codex, we are increasingly letting models touch our code. If you have used any of these tools in the past year, you have probably experienced something like this: you ask the model to fix a simple bug (perhaps a single…
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What I learned building an opinionated and minimal coding agent
Lessons I learned while building my own coding agent from scratch.
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Software development with AI is starting to feel like cooking steak
Why AI can make software development faster without replacing the judgment and understanding needed to build consistently good software.
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Frontier AI has broken the open CTF format
Why frontier AI has broken the open CTF format, hollowed out the scoreboard, and made competitive CTF performance a weaker signal than it used to be.
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AI handles incidents, engineers lose touch with their systems
AI-assisted incident response can lower MTTR while leaving engineers less prepared for the complex incidents automation cannot solve.
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Open-weight AI is having its Kubernetes moment
Open-weight models are becoming the foundation for the next AI ecosystem. The US should compete in it, not wall itself off.
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My agent.md to improve LLM-assisted code quality
The first time I tried to use an LLM to speed up coding was in mid-2025. I was not impressed. I was working on libadbmdns back then, an mDNS implementation in Rust. The code produced would not even compile.
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The Hackintosh Reborn
Almost a decade ago, I released a hackintosh guide on running macOS 10.14 through a VM with an x86 host. A "Hackintosh" is the feat of running macOS on non-Apple hardware, and has a history dating back to the late 1980s. At the time KVM and PCI
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Can gzip be a language model?
A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …
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The AI Race Just Got Awkward
Funny how quiet everyone got.
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Slop Terrifies Me
What if this is as good as software is ever going to be? What if AI stops getting better and what if people stop caring?
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Visual introduction to PyTorch
An easy to follow, visual introduction to PyTorch.
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We're gonna need a lot more mathematicians
[This is a guest post by Amit Sahai. This blog post was initially written in a different file format and converted using AI. — T.] When I was an undergraduate student, I remember talking with…
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I think I have LLM burnout
I didn't expect to get so tired of reading LLM output.
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There is minimal downside to switching to open models
There was a time not too long ago when using Linux entailed some professional risk 1 . First there was compatibility: you may not have been able to render a Word document or PowerPoint correctly, and you might have had to trust Open Office’s export capability to render docs the way you wanted. There might have been…
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Kimi K3, and what we can still learn from the pelican benchmark
Chinese AI lab Moonshot AI announced Kimi K3 this morning, describing it as their “most capable model to date, with 2.8 trillion parameters”. It’s currently available via their website and …
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Running Gemma 4 locally with LM Studio's new headless CLI and Claude Code
LM Studio 0.4.0 introduced llmster and the lms CLI. Here is how I set up Gemma 4 26B for local inference on macOS that can be used with Claude Code.
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The best response to AI slop and online noise is from Robin Williams
There's a moment in the movie Good Will Hunting which perfectly summarizes all the problems with AI slop and online noise and infinite advice content. Sean (played by Robin Williams) is sitting next to Will (Matt Damon) on a bench in Boston Public Garden. I live here, so I know it well. The area