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The most popular blog posts about ai & machine learning on Hacker News. 6,331 posts.
MIT graduate students have developed a new “cutting-plane” algorithm, a general-purpose algorithm for solving optimization problems. They’ve also developed a new way to apply their algorithm to specific problems, yielding orders-of-magnitude efficiency gains.
Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence research. Recently, there has been a lot of excellent progress, with agents like DQN able to use the same algorithm to learn to play multiple games including Breakout and…
A simple walkthrough of deriving backpropagation for CNNs and implementing it from scratch in Python.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
This article explains how recurrent neural networks (RNN's) work without using the neural network metaphor. It uses a visually-focused data-transformation perspective to show how RNNs encode variable-length input vectors as fixed-length embeddings. Included are PyTorch implementation notebooks that use just linear…
How can it generate 3D worlds, videos, images and entire web pages, but still suck at front-end?
The Electronic Frontier Foundation, a digital civil liberties advocacy group, recently published a good article entitled “ISPs Should Not Police Online Speech—No Matter How Awful It Is.” 1 It argues that providers within the internet “stack” should refrain from censoring traffic according to their own values. That…
AI will make us smarter and better at our jobs. But if we don't watch out, it will create chaos.
How I built an ML rig for training LLMs locally, exploring hardware choices, setup tricks, and lessons learned along the way.
Life doesn't freeze when winter comes—if anything, that's when riders need reliable transportation most, when being exposed to the elements becomes less appealing. Today, the Waymo Driver successfully navigates rain, fog, sandstorms, and freezing temperatures. As we expand to more cities across the U.S. and globally…
Andy Bell had heard companies were forcing employees to use AI tools so spoke to developers to determine if that was the case and learned some horrors in the process.
With gptcommit, you no longer have to spend time writing your commit messages. Install gptcommit and let GPT-3 do the writing for you.
A glimpse of the upcoming paradigm shift in how we do development
A couple of days back, Ganesh Venkataramanan, leader of the Tesla Dojo project, announced the Dojo machine learning training system. It’s an unusually network rich, power dense, and memory light design. I’ve summarized the architecture of the system below but I found three aspects of the system particularly…
For the past 9 months I have been presenting versions of this talk to AI researchers, investors, politicians and policy makers. I felt it was time to share these ideas with a wider audience. Thanks to the Ditchley conference on Machine Learning in 2017 for giving me a fantastic platform to get ear
What happens when you ask Claude Code to compose music? Five experiments later: original songs, music videos, and a full album, all built from scratch.
How developers are experimenting with structure, orchestration, and standards to get more out of AI coding.
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
30% less disk required compared to using the single best strategy
Self-guided agents that think continuously
A blog on programming C#, REST, WCF, ASP.NET Web API and software architecture
In my last post I've described how to use Z3 to find simple local peephole optimization patterns for the integer operations in PyPy's JIT. An example is int_and(x, 0) -> 0. In this post I want to scal
Research on aligning AI with human values and intent, and reports documenting model failures.
How an initializer agent and an incremental coding agent help the Claude Agent SDK make steady progress across many context windows.
Posted by Asim Shankar and Wolff Dobson, Google Brain Team UPDATE, April 3 2018: Please see the official user guide for more up-to-date code examp...
