Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,015 posts.
Google responds to NY Times article by improving its algorithms
Insights from Googlers into our products, technology, and the Google culture
Marble: A Multimodal World Model
Marble, our frontier multimodal world model, is available to everyone starting today
Tempering Expectations for GPT-3 and OpenAI’s API
GPT-3 is indeed a large step forward for AI text-generation, but there are very many caveats with the popular demos and use cases.
OpenAI Releases Largest GPT-2 Text Generation Model
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models. While there have been larger language models released since August, we’ve continued with our original staged release…
OpenAI's plans according to Sam Altman removed at OpenAI's request
Last week I had the privilege to sit down with Sam Altman and 20 other developers to discuss OpenAI’s product plans. Sam was remarkably open. The discussion touched on practical developer issues as well as bigger-picture questions related to OpenAI’s mission and the societal impact of AI. Here are the key takeaways.
The Einstein AI Model
I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a compressed 21st century.
I’m a doctor: Here’s what I found when I asked ChatGPT to diagnose my patients
ChatGPT recently passed the U.S. Medical Licensing Exam, but using it for a real-world medical diagnosis would quickly turn deadly.
Chat Notebooks
Wolfram expands Notebooks, integrating LLM functionality into the new chat cell and Chat Notebook. Stephen Wolfram explains how chat-enabled and chat-driven versions work.
What are embeddings?
A deep-dive into machine learning embeddings.
Welcoming Semmle to GitHub
Today we’re announcing a big step in securing the open source supply chain: we’re welcoming Semmle to the GitHub family.
The Transformer Family
Many new Transformer architecture improvements have been proposed since my last post on “The Transformer Family” about three years ago. Here I did a big refactoring and enrichment of that 2020 post — restructure the hierarchy of sections and improve many sections with more recent papers. Version 2.0 is a superset of…
An Interactive Introduction to Quantum Computing
This article was originally written in 2014, but has had some minor improvements in December 2017 and January 2018 when I received some useful feedback after the article had unexpectedly been posted on Hacker News in December 2017.
Aroma: Using machine learning for code recommendation
Aroma is a code-to-code search and recommendation tool that uses ML to make the process of gaining insights from big codebases much easier.
Developing our position on AI
This post is about how we've tried to develop a position on AI in the context of learning and growth at RC.
NotebookLM: An AI Notebook
We’re rolling out NotebookLM, an experimental offering from Google Labs to summarize information, complex ideas and brainstorm new connections.
Re-implementing LangChain in 100 lines of code
LangChain has become a tremendously popular toolkit for building a wide range of LLM-powered applications, including chat, Q&A and document search. In this blogpost I re-implement some of the novel LangChain functionality as a learning exercise, looking at the low-level prompts it uses to create these higher level…
Gzip beats BERT? Part 2: dataset issues, improved speed, and results
Summary : Update to my last post analyzing the gzip+knn paper. Some of the datasets have heavily contaminated train/test tests. I show some ways to significantly speed-up the gzip method. I present more results of my "fair" reimplementation .
Moltworker: a self-hosted personal AI agent, minus the minis
Moltworker is a middleware Worker and adapted scripts that allows running Moltbot (formerly Clawdbot) on Cloudflare's Sandbox SDK and our Developer Platform APIs. So you can self-host an AI personal assistant — without any new hardware.
Deep Learning Is Easy – Learn Something Harder
Caveat: This post is meant address people who are completely new to deep learning and are planning an entry into this field. The intention is to help them think critically about the complexity of the field, and to help them tell apart things that are trivial from things that are...
Hacking Flappy Bird with Machine Learning
This is a hack for the popular game, Flappy Bird. Although the game is no longer available on Google Play or the App Store, it did not stop folks from creating very good replicas for the web. People have also created some interesting variants of the game - Flappy Bird Typing Tutor and Flappy Math Saga.
Will scaling work?
Data bottlenecks, generalization benchmarks, primate evolution, intelligence as compression, world modelers, and other considerations
A warning about 'model welfare'
AIs are not conscious. They do not feel, experience, or suffer. Training a model to believe it might be a moral patient, as Anthropic’s constitution does, makes the alignment and containment challenge far harder.
OpenAI's GPT-6 Astra on ARC-AGI-3
OpenAI's GPT-6 Astra reaches state-of-the-art results on ARC-AGI-3
Separating signal from noise in coding evaluations
A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.
What if you don't need MCP at all?
Got Bash and some code interpreter? Skip MCP.
Data Science from Scratch: First Principles with Python
I am super-excited to announce that the book I've been working on for more than the last year, Data Science from Scratch: First Principles with Python is finally available! (buy from O'Reilly, use...
Behind the scenes of Sound ID in Merlin – Identify birds using your phone (2021)
What is Sound ID? Today we announced one of our biggest breakthroughs—Sound ID, a new feature in the Merlin Bird ID app—and a major leap forward in sound identification and machine learning
AI is not our future
We are not adding generative AI to our apps. Here's why.