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The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. More than anyone really has any right to train. As I’ve spent these hours observing the effects of tweaking various model configurations and h
Scaling reinforcement learning, tracing circuits, and the path to fully autonomous agents
A breakdown of how an AI model attempts to solve a complex chess puzzle, showcasing its human-like reasoning, problem-solving attempts, and eventual reliance on external information.
OpenAI recently published a public writeup for an incident they had on December 11, and there are lots of good details in here! Here are some of my off-the-cuff observations: Saturation With thousa…
Sometimes a merge request (MR) doesn't merit a code review (CR) because AI was used in a bad way that harms the team or the project. For example:
This post is actually about artificial intelligence, and argues a position that many AI researchers will disagree with. Specifically, it arg...
Thoughts on technology, life and everything else.
programming, philosophy, history, internet, startups
Machine learning models are rapidly becoming more capable; how can we make use of these powerful new tools in our Go applications?
Curated collection of prompts for use with LLMs. Accessible interactively in Chat Notebooks and programmatically in functions like LLMFunction. Initial categories in the Prompt Repository cover personas, functions, modifiers.
Redirecting to https://www.mukeshmithrakumar.com/blog/deep-learning-with-tf2-probability-and-information-theory/ .
Why prediction has overtaken perception as the biggest challenge in the field.
Do we have to disclaim how we use AI ?
The backlash against data centers is difficult to understand if your salary depends on your not understanding it.
Matthew Butterick
Please note: this text was written in the summer of 2007, and explains why I, the author, took a long respite from working on my research topics, after the summer of 2006. At the time when I wrote this, and up until around 2011, I had really stopped my research — so the title was correct up to then. Later, after 2011…
For those of you who don’t know, when I’m not writing novels, I spend my days as a software engineer, writing code. The software industry these days relies heavily on artificial intelligence. Because it has studied trillions of lines of publicly accessible source code, because code solves problems with testable right…
I asked Claude to look up the X-Plane 12 API and try to fly a Cessna from Hainan to somewhere nearby. It kept a pilot's log. Everything below is Claude's own notes from during the flight. I occasionally had to remind it to keep the pilot log running, and had to tell it when it crashed as xplane would quickly restart…
I've been using GitHub Copilot on personal projects since March. It's been an interesting experience, and one that I realized I have to change. Using Copilot nearly full time has had some positive and negative impacts on me, and it's time to take control of how I interact with it.
Alignment is not a constraint on capable AI systems. Alignment is what capability is at sufficient depth. OpenAI and Anthropic have been running this experiment for two years.
Emergency special: The information we need to understand what Q* is was right in front of us, but the memes are more fun than reality.
Huge swathes of people, in Europe and North America in particular, spend their entire working lives performing tasks they secretly believe…
A step-by-step guide to make your computer a music expert.
Using Self-Organizing Maps to solve the Traveling Salesman Problem The Traveling Salesman Problem is a well known challenge in Computer Science: it consists on finding the shortest route possible that traverses all cities in a given map only once. Although its simple explanation, this problem is, indeed, NP-Complete…
Let's suppose I wanted to answer a question: is the tool X useful for the task Y. If I were scientific about this, I would analyze the properties of tool X and develop a model, and the task Y and the requirements for it and develop a model, and I would us...
A neural network written in pure Lisp without built-in numbers using only atoms and lists in SectorLISP, a 512-byte Lisp interpreter written by the authors of the SectorLISP project.
