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AI Content Generation, Part 1: Machine Learning Basics
This technology is already changing the creative industry. Here's how it works.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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Machine learning systems are stuck in a rut
Machine learning systems are stuck in a rut Barham & Isard, HotOS’19 In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmabil…
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Here lies the internet, murdered by generative AI
Corruption everywhere, even in YouTube's kids content
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Compiling ML models to C for fun
We make micrograd fly with a little compiler magic. In this post, we’ll write a ML compiler from scratch.
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Neuralink and the Brain's Magical Future
I knew the future would be shocking but this is a whole other level.
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Absolute Zero Reasoner
Current reasoning models trained with Reinforcement Learning with Verifiable Rewards (RLVR) often rely on manually curated datasets, raising scalability concerns and potentially limiting future AI growth beyond human-defined tasks. To address this, we propose the Absolute Zero paradigm, where a single model…
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AIs Named by AIs
Neural networks can be good at naming things, I’ve discovered. Recently I’ve been experimenting with a neural network called GPT-2, which OpenAI trained on a huge chunk of the internet. Thanks to a colab notebook implementation by Max Woolf, I’m able to fine-tune it on specific lists of data -
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Deep Learning without Backpropagation
A machine learning craftsmanship blog.
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Grok 3: Another win for the bitter lesson
Congratulations to the xAI team—and the advocates of the scaling laws
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For AI leaders Doom is a form of hype
Why AI doom rhetoric from Anthropic, OpenAI and other tech leaders functions as hype, regulatory strategy, and a distraction from present harms.
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The Unreliability of LLMs and What Lies Ahead
The Unreliability of LLMs & What Lies Ahead
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I tried coding with AI, I became lazy and stupid
Robots won't replace me, but another human probably will.
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The near future of AI is action-driven
…and it will look a lot like AGI. LLMs can become extremely powerful by leveraging external cognitive assets and choosing actions.
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Using a LLM to compress text
Introduction Large language models are trained on huge datasets of text to learn the relationships and contexts of words within larger documents. These relationships are what allows the model to generate text. Recently I've read concerns about LLMs being trained on copyrighted text and reproducing it. This got me…
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Sequential modeling enables scalable learning for large vision models
We introduce a novel sequential modeling approach which enables learning a Large Vision Model ( LVM ) without making use of any linguistic data. To do this, we define a common format, "visual sentences", in which we can represent raw images and videos as well as annotated data sources such as semantic segmentations…
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The current balance of power in open models
The expanded form of a testimony I prepared for Congress.
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The convolution empire strikes back
ConvNets Match Vision Transformers at Scale
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AI and Blockchain: An Introduction
At the kind invitation of Rob May and the Botchain team, I had the opportunity recently to keynote Brains and Chains, an interesting conference in New York expl
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Building a Program Synthesizer
Build a program synthesis tool, to generate programs from specifications, in 20 lines of code using Rosette.
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Listening with LLM
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices. I am motivated to gain hands-on experience tinkering LLMs so, as much as…
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Learning Regular Languages with L* Algorithm
Research in Software Engineering from Rahul Gopinath
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It's OpenAI's world, we're just living in it
The best Stratechery content from the week of October 6, 2025, including OpenAI’s Windows strategy, Sam Altman and boundless ambition, and the future of creation.
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I played chess against ChatGPT-4 and lost
GPT-4 will change the world.
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LLMs have reached a point of diminishing returns
Science, sociology, and the likely financial collapse of the Generative AI bubble
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Three kinds of AI products work
The very first LLM-based product, ChatGPT, was just the ability to talk with the model itself: in other words, a pure chatbot. This is still the most popular…
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