Where does next-token prediction leave us?
Your favourite ROP gadget
The latest blog posts to take off on Hacker News. 3,090 posts.
Your favourite ROP gadget
A lot of people seem convinced that the point of AI coding is to write low-quality code as fast as possible. Spew out barely-passable slop, open massive PRs,…
I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of…
Somewhere between 'ask Claude for a quick opinion' and 'Claude is writing our Jira tickets,' we lost the plot. AI agents are brilliant implementers. They're also confidently wrong about every decision that matters. And when it all falls over, they won't be the ones carrying the bag.
Great minds discuss flops per watt.
So, you want to improve the performance of your deep learning model. How might you approach such a task? Often, folk fall back to a grab-bag of tricks that might've worked before or saw on a tweet. "Use in-place operations! Set gradients to None! Install PyTorch 1.10.0 but not 1.10.1!"
Yesterday, the Wall Street Journal ran a story about how Anthropic is “about to have its first profitable quarter,” specifically an operating profit, or EBITDA profitability: Anthropic’s revenue is set to more than double to $10.9 billion in the second quarter, an explosive rate of growth that will
Why coding agents perform better in cohesive ecosystems like Go than fragmented ones like JavaScript or Python
Friendly articles and tutorials for front-end web developers. ❤️
AI takes in all the input, whether the original authors have consented or not, and do some "learning", and then the AI companies sell these learned result to...
LinkedIn may be awash with boosters, but shunning AI is the human choice.
Formal verification gates for AI coding loops, in the language you're already shipping.
In the past few months, I’ve been stress-testing how far AI coding agents can take us when building real, production-grade distributed systems. The result: a Rust-based multi-Paxos consensus engine that not only implements all the features of Azure’s Replicated State Library (RSL) [1] — which underpins most major…
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I put together these annotated slides from my five minute lightning talk at PyCon US 2026, using the latest iteration of my annotated presentation tool. # I presented this lightning …
If vibecoding is what people say it is, the world should be drowning in vibecoded artifacts right now. Two years of access. Millions of people with the tools. The barrier supposedly fell, right? RIGHT? So where is everything?
Every local-LLM benchmark reports throughput: "47 tok/s on an M3," "180 tok/s on a 4090," "500 tok/s on Groq." Unless you've actually watched tokens stream at those rates, the numbers are hard to internalize. This is the rendering.
You can go far without writing TLA+ syntax now, but you still need to understand temporal logic.
It’s not even a feature. It’s just technology.
The delirious rantings of Frederick Vanbrabant. A blog focused on the intersection of Enterprise Architecture, product, and business strategy.
Local LLMs can be very very cheap
Ever since Golden Gate Claude I’ve been fascinated with “steering”: the idea that you can guide LLM outputs by directly manipulating the activations of the…
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.
Soon, access to frontier AI will be scarce and selective
It's so god damn tempting to use AI to write. Whether it is articles, code, or documents. I feel like using AI is diminishing my ability to write myself.
A modular, compile-checked tutorial for learning category-theory ideas through a tiny Rust ML pipeline.
Introduction 3D Gaussian splatting is a technique that answers this question: given a dataset of pictures of a scene, how can I reconstruct it in 3D? This is achieved using a machine learning algorithm that, for many different camera angles, does the following: render the scene, compare it to the picture taken at the…
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.
I try to pay attention to the small things that affect my quality of life. When something keeps bothering me, I want to investigate, find a likely cause, and act on it. What changed recently is what I'm willing to build to support that. With AI tooling, projects I