Effort – a possibly new algorithm for LLM Inference
A possibly new algorithm for LLM Inference. Adjust smoothly - and in real time - how many calculations you'd like to do during inference.
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,092 posts.
A possibly new algorithm for LLM Inference. Adjust smoothly - and in real time - how many calculations you'd like to do during inference.
Everyone’s been talking about it. JD Vance read it. What does it actually tell us?
One common take on the coding agents that I see goes something like this: “Sure, AI helps you output more code, but won’t the quality suffer?”
The current paradigm will not lead to an overnight superintelligence explosion.
WTF moment: Why my native OS refuses to return a "True" value.
Breaking down revenue growth, the consumer subscription businesses and the importance of partnerships to the API business
I am a computer science student. I got a scholarship to study computer science and AI last year and I love it! It's something that I wanted to do since I was...
HN Discussion
Junior engineers are expensive, both in salary and seniors engineers’ time. This cost was partially recouped through code contributions, but today, it’s more effective to directly maximize the output of your senior engineers. The hiring market reflects this trend: senior engineers have an easy time finding jobs, while…
Like this newsletter? Why not listen to the podcast version on Better Offline? Part 1 is out now (here're other links), and Part 2 comes out Friday May 2nd! I'm sick and god-damn tired of this! I have written tens of thousands of words about this and
Programming blog of Eugene
I’m a bit behind on my weeknotes, so there’s a lot to cover here. But first... a review of the last 24 hours of Large Language Model news. All times …
The capabilities of game-playing AIs have grown rapidly over the last few years. This trend has culminated in the defeat of top human players in the complex real-time strategy (RTS) games of DoTA 2…
When I wrote about how good ChatGPT with GPT-5 is at search yesterday I nearly added a note about how comparatively disappointing Google's efforts around this are. I'm glad I …
These are some of the most amazing generated images I’ve ever seen. Introducing BigGAN, a neural network that generates high-resolution, sometimes photorealistic, imitations of photos it’s seen. None of the images below are real - they’re all generated by BigGAN.
neural networks , convolutional neural networks , convolution , math , probability
If you read a description of a static analysis in a paper, what might you find? There’ll be some cute model of a language. Maybe some inference rules describing the analysis itself, but those rules probably rely on a variety of helper functions. These days, the analysis likely involves some logical reasoning: about…
Ever since I learned about neural networks playing Atari games I wanted to reimplemnted it and learn how it works. Below you can see an AI playing Space Invaders. I trained it during my batch at Recurse Center on little over 50M frames.
Background Backpropagation is a common method for training a neural network. There is no shortage of papers online that attempt to explain how backpropagation works, but few that include an example…
Everything I read about the AI industry leads me to think there will be an AI crash. Consider the following: Unsustainable Capital Expenses. It’s hard to imagine there can ever be enough revenue to…
First slowly, and then all at once, dreams of LLMs bringing us to the cusp of AGI have fallen apart.
I get it, you’re too good to vibe code. You’re a senior developer who has been doing this for 20 years and knows the system like the back of your hand. Or maybe you’re the star individual contributor who is the only person who can ever figure out how to solve the hard problems. Or maybe you’re the professor who…
AI tools lower the barrier to producing code, not to building reliable systems. The hard part — maintaining alignment between specifications, tests, and implementation — has not gone away. Expertise still matters.
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AI-generated work can look finished without being understood. That uncertainty erodes trust, slows reviews, and leaves colleagues doing the missing work.