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The most popular blog posts about ai & machine learning on Hacker News. 3,090 posts.
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…
If you lived through the shift from handcrafted server pets to immutable infrastructure, you should sense something oddly familiar about what's happening now.
Chronicles of training strong LLMs from scratch in the wild
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.
I’ve been dipping into the r/ChatGPT subreddit recently to see how people are reacting to the GPT-5 launch, and so far the vibes there are not good. This AMA thread …
Becoming fluent in my son’s invented language was too difficult for me, so I decided to see how would AI do.
Is DALL-E 2 fit for use in creative work? A case study involving pixel graphics for a point-and-click adventure game.
Yogesh Kumar's personal website
I've built 12+ AI agent systems across development, DevOps, and data operations. Here's why the current hype around autonomous agents is mathematically impossible and what actually works in production.
My Agent abstractions keep breaking somewhere I don’t expect.
Linear algebra is to machine learning as flour to bakery: every machine learning model is based in linear algebra, as every cake is based in flour . It is not the only ingredient, of course. Machine learning models need vector calculus, probability, and optimization, as cakes need sugar, eggs, and butter. Applied…
The one where I pack up my bags.
Long awaited first paper from Meta Superintelligence Labs is not a model layer innovation. What does this mean?
Sergey Filimonov's blog
2023-10-12: I have written a followup with some details about the process used to generate this list: Extracting HN Book Recommendations with the ChatGPT API, Vol. II
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. […]
I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they…
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…
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…
Recently Google Bard got some powerful updates, including Extensions. Extensions allow Bard to access YouTube, search for flights and hotels, and also to access …
How time-tested software engineering practices amplify the effectiveness of AI coding assistants.
Lessons I learned while building my own coding agent from scratch.
Why AI can make software development faster without replacing the judgment and understanding needed to build consistently good software.
a short post
Testing Google's highly anticipated Gemini 3.0 through AI Studio's A/B feature using SVG generation as a quality proxy
A guide on how to convert .epub e-books into high-quality audiobooks narrated by neural text-to-speech
