Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 422 posts.
Machine learning algorithms are not like other computer programs. In the usual sort of programming, a human programmer tells the computer exactly what to do. In machine learning, the human programmer merely gives the algorithm the problem to be solved, and through trial-and-error the algorithm has to figure out how to…
As you hopefully have heard, we at scikit-learn are doing a user survey (which is still open by the way). One of the requests there was t...
Almost 25 years after Kasparov vs. Deep Blue, another seminal man vs. machine matchup: Neither competitor has much to be proud of here. White has a poor opening. Black screws up and loses his queen…
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
I will try to solve all of the advent of code with as little human input as possible
I am proud to be among the list of 25 initial signatories — all Fields Medallists — to the declaration below, which grew out of discussions between ourselves over the last week. We have…
Anthropic's Claude Desktop silently installs a Native Messaging bridge into seven Chromium browsers, including browsers Anthropic's own documentation says it does not support, and browsers the user has not even installed.
Summary: We have released GPT-J-6B, 6B JAX-based (Mesh) Transformer LM (Github).GPT-J-6B performs nearly on par with 6.7B GPT-3 (or Curie) on various zero-shot down-streaming tasks.You can try out …
Important new study from Apple
Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which…
If you’ve been on the internet today, you’ve probably interacted with a neural network. They’re a type of machine learning algorithm that’s used for everything from language translation to finance modeling. One of their specialties is image recognition. Several companies - including Google, Microsoft, IBM, and…
The lead in the last month or so was an indicator of having good chances, but there was a huge shuffling of ranks in the last week and some last minute casualties.
For some inane reason, Github classifies me as a "major open source maintainer", which means I get a free copilot subscription.1 I've been using it for a...
Like you, I'm sick to the back teeth of talking about AI. Like you, I keep getting dragged into discussions of AI. Unlike you‡, I spent the summer writing a book about why I'm sick of writing about AI⹋, which Farrar, Straus and Giroux will publish in 2026.
New from Google. They say it's "built to push the frontier of intelligence and solve modern challenges across science, research, and engineering". It drew me a really good SVG of …
I was in a Facebook discussion about “Friendly Artificial Intelligence” — this is a buzzword from the Singularity Institute people. They be...
Everyone’s been talking about it. JD Vance read it. What does it actually tell us?
Notes from my colleagues on AI-assisted software delivery
Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…
Reconstructing films with artificial neural networks
(Update 2023-03: I wrote this in 2020 when GPT-3 was highly hyped, but ultimately made only <1% of the splash that the monstrous ChatGPT made 3 years later. If I had to rewrite this today, I’d 1) think more kindly about defensibility, especially through deep product, user experience, and marketing/distribution (see…
LLMs have the potential to revolutionise our field of healthcare, but the fear and reality of hallucinations prevent adoption in most applications.
I run Claude Code with --dangerously-skip-permissions flag, giving it full system access. Let me show you a new way of approaching computers.
Imagine a contest in which we are going to pit man against machine. But instead of measuring who is best in playing the game of ‘Go’ we are going to measure who is fastest. In the one corner: Human, all of 175 pounds of extremely well trained runner. And in the other corner, a Formula 1 racecar with a remote control…
The site of Sid
SemiAnalysis published something of a bombshell leaked document this morning: Google “We Have No Moat, And Neither Does OpenAI”. The source of the document is vague: The text below is …
How a Few Activists Made ChatGPT Deny Basic Science
