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The most popular blog posts about ai & machine learning on Hacker News. 6,323 posts.
Yesterday I shared a little program called Mark V. Shaney Junior at github.com/susam/mvs . It is a minimal implementation of a Markov text generator inspired by the legendary Mark V. Shaney program from the 1980s. Mark V. Shaney was a synthetic Usenet user that posted messages to various newsgroups using text…
We’re excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments.
A paper from Anthropic's Alignment Science team on Alignment Faking in AI large language models
When Best Practices Are Best
I’ve spent the last 48 hours completely falling down the rabbit hole of NVIDIA’s Q3 Fiscal 2026 earnings report . If you just skim the headlines, everything looks perfect: Revenue is up 62% to $57 billion, and Jensen Huang is talking about a "virtuous cycle of AI."
From the Global South to the Arctic, can machine learning-enabled weather prediction better protect communities and economies?
OpenAI’s Deep Research is built for me, and I can’t use it. It’s another amazing demo, until it breaks. But it breaks in really interesting ways.
Private Cloud Compute (PCC) fulfills computationally intensive requests for Apple Intelligence while providing groundbreaking privacy and security protections — by bringing our industry-leading device security model into the cloud. To build public trust in our system, we’re making it possible for researchers to…
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
Why I stopped trying to give LLM agents a better memory and instead built Lemmalog, a Datalog engine that maintains an agent's knowledge as analysis state, with provenance, retractions and incremental evaluation, plus what happened when I benchmarked it on LongMemEval and LoCoMo.
I get confused with tensor computation libraries (or computational graph libraries, or symbolic algebra libraries, or whatever they’re marketing themselves as these days). I was first introduced to PyTorch and TensorFlow and, having no other reference, thought they were prototypical examples of tensor computation…
A reference guide to fundamental machine learning equations with correct implementations and clear explanations of how they connect to each other.
Max Mitchell's personal portfolio website showcasing his photography, YouTube videos, coding projects, and work history.
If you work with Claude Code or Codex from the terminal, you know this one.
There is a new clear best (non-tiny) LLM.
Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world. AlphaChip was one of the first reinforcement learning approaches used to solve a real-world engineering problem. It generates superhuman or comparable chip layouts in hours, rather than weeks…
By Luc Vincent, EVP Autonomous Technology
Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other.
I attended the Story Discovery At Scale data journalism conference at Stanford this week. One of the perennial hot topics at any journalism conference concerns data extraction: how can we …
It has been two years since the first commit. Two years ago, I promised 1). an object detection algorithm; 2). a text detection algorithm; 3). a feature point algorithm; and 4). a 3d reconstruction algorithm. With the 0.1, there is: 1
To kick off this series, will start with something simple yet foundational: linear regression via ordinary least squares. While not particularly exciting, linear regression finds widespread use both as a standalone learning algorithm and as a building block in more advanced learning algorithms.
Large language models (LLMs) still feel a bit like magic to me. Of course, I understand the general machinery enough to know that they aren’t, but the gap between my outdated knowledge of the field and the state-of-the-art feels especially large right now. Things are moving fast. So six months ago, I decided to close…
Google has long collaborated with musicians, producers, and artists in the research and development of music AI tools. Ever since launching the Magenta project, in 2016, we’ve been exploring how AI can enhance creativity — sparking inspiration, facilitating exploration and enabling new forms of expression, always…
On February 13, 2026, alongside the previously announced retirement of GPT‑5 (Instant, Thinking, and Pro), we will retire GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini from ChatGPT. In the API, there are no changes at this time.
( This is the text of a talk I delivered at the Next Frontiers Applied Fiction Day in Stuttgart on Friday November 10th, 2023. Note: early draft, contains some typos, I'll fix them next week when I get home. )
A reflection on cultural differences observed at the 2025 Joint Mathematics Meeting.
