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The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
[This is a guest post by the Advisory Group on Mathematics and Artificial Intelligence. This blog post was initially written in a different file format and converted using AI. — T.] We would …
Second-tier Scottish football club Inverness Caledonian Thistle doesn’t have a camera operator for matches at their stadium so the club uses an AI-controlled ca
It’s very tempting to imagine that AI turns everyone into a tool-builder - now everyone can just ask the model to make the software they need, and apps as we know them are dead. I think that misunderstands how most people think and where software actually comes from, and more importantly, it isn’t
Wolfram's many advances, including the Wolfram Language, are coming together to create a new and profoundly important unified level of computation.
In this article we take performance of the SSD300 model even further, leaving Python behind and moving towards true production deployment technologies: TorchScript, TensorRT and DeepStream. We also identify and understand several limitations in Nvidia’s DeepStream framework, and then remove them by modifying how the…
Last year for National Novel Writing Month I trained a neural net called torch-rnn on 10,096 unique ways to begin a novel. It came up with some intriguing possibilities, my personal favorite being “I am forced to write to my neighbors about the beast.” But many of its sentences used made-up words, or had such weird…
How to get up to speed on open models and their implications.
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In 2023, we launched an AI-powered Chief of Staff for engineering leaders—an assistant that unified information across team tools and tracked critical project developments. Within a year, we attrac...
Poking at the geometry of an image model's feature space.
I've seen a couple of recent posts where the writer mentioned asking LLMs to do something with a certain probability or a certain percentage of the time. There is a particular example that stuck in my mind which I've since lost the link to (If you're the author, please get in touch so I can link through to you): The…
About a week ago, my home Internet (AT&T Fiber) went from the ~1 Gbps I pay for down to about 100 Mbps (see how I monitor my home Internet with a Pi). It wasn't too inconvenient, and I considered waiting it out to see if the speed recovered at some point, because latency was fine. But as you can see around 7/7 on that…
Nial – Knowledge work and artificial intelligence.
Unfortunately for the countless hapless people I've talked to in the past few months, this was inexorable. Ever since ChatGPT exploded in popularity, my inner designer has been bursting at the seams.
It’s very much a “v1” product. You type a prompt to start a new thread, it launches a little container for your agent to work in, and you can keep talking to it. It produces a branch, which you can open a PR for (that’s the only way to see a diff of the changes Claude Code made, for now). Or if you want to keep…
The models are powerful as is. But where are the tools?
Instead of wanting to learn and improve as humans, and build better software, we’ve outsourced our mistakes to an unthinking algorithm.
Short stories about the singularity written in collaboration with GPT-3.
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Large language models like ChatGPT & Claude have become ubiquitous in today’s world. I visited a friend for the New years eve and was impressed by how ChatGPT was being extensively used within the family. The friend’s little kid is going to grow up in a world, where turning to large language models (LLM) for quick…
AI folklore tells a story about a neural network trained to detect tanks which instead learned to detect time of day; investigating, this probably never happened.
This paper shows that models which result from gradient descent training (e.g., deep neural nets) can be expressed as a weighted sum of simi...
LLM is my Python library and command-line tool for working with language models. I just released LLM 0.9 with a new set of features that extend LLM to provide tools …
Update August 11, 2026: A group of researchers from all over Europe were inspired by this post, and actually turned it into a real working attack! Check out their writeup and paper here. This is a …
A deep dive on flow maps.
Scientific machine learning is a burgeoning discipline which blends scientific computing and machine learning. Traditionally, scientific computing focuses on large-scale mechanistic models, usually differential equations, that are derived from scientific laws that simplified and explained phenomena. On the other hand…
