Topics /
The most popular blog posts about ai & machine learning on Hacker News. 6,326 posts.
Deep neural networks are composed of many individual neurons, which combine in complex and counterintuitive ways to solve a wide range of challenging tasks. This complexity grants neural networks their power but also earns them their reputation as confusing and opaque black boxes.
In the emerging age of AI generated code, is leetcode really the best way to evaluate technical candidates (was it ever)?
A practical workflow for running 4–8 parallel coding agents using Claude Code, tmux, and a Markdown-based feature design system.
Stripe's Knowledge AI Platform is our versatile AI agent platform built to handle diverse non-coding knowledge work, from quick queries to complex, multi-day projects. By connecting employees to over 1,000 internal tools and skills, it enables secure, enterprise-scale productivity across the organization.
There’s something icky about LLM-generated text when you think it’s written by a human. I think I finally put my finger on one reason why I feel this way.
NVIDIA sent me a preview unit of their new DGX Spark desktop “AI supercomputer”. I’ve never had hardware to review before! You can consider this my first ever sponsored post …
Every agent tool stores memory in its own shape, and every week someone builds another one. None of them can read the others. Observability had the same problem until OpenTelemetry gave everyone one data model to share. A tour of today's memory formats, the proposals that already exist, and what a shared spec could…
Photos are among the most common types of files in Dropbox, but searching for them by filename is even less productive than it is for text-based files. When you're looking for that photo from a picnic a few years ago, you surely don't remember that the filename set by your camera was 2017-07-04 12.37.54.jpg .
How TurboQuant compresses the KV cache without losing accuracy, and what that could mean for memory stocks
Last year, we introduced Brain2Qwerty v1, research that uses AI to decode brain activity into text without any surgical implant. Now we're sharing the next step: Brain2Qwerty v2, the highest-performing end-to-end pipeline capable of real-time sentence decoding from non-invasive brain recordings, approaching levels of…
We’re excited to announce the Llama Startup Program, a new initiative to empower early stage startups to innovate and build generative AI applications with Llama.
Exploring the computational complexity of chess. Code snippets in Python so you can do the same.
In this blogpost, we introduce our latest series of chatbot models, LongChat-7B and LongChat-13B, featuring a new level of extended context length up to 16K tokens.
We are sharing details of our next generation chip in our Meta Training and Inference Accelerator (MTIA) family. MTIA is a long-term bet to provide the most efficient architecture for Meta’s unique workloads.
Learn what vector search is and the metrics pertinent to decide the distance (or similarity) between objects.
A guide to AI and LLM evals for engineers and product managers. Learn how to test AI systems, analyze failures, and improve retrieval, agents, and AI products.
I'm working on a little photography website for my Dad and thought it would be neat to extract color information from photographs. I tried a couple of different approaches before finding one that works pretty well. This approach uses k-means clustering to cluster the pixels in groups based on their color. The center…
Musings of a Computer Scientist.
I just sat down this morning and organized all deep learning related videos I recorded in 2021. I am sure this will be a useful reference for my future…
Although the mathematics involved with neural networking is not a trivial matter, a user can rather easily gain at least an operational understanding of their structure and function.
Several months ago, I decided that AI contributions were no longer welcome in a FOSS project I am building and maintaining - LibreWeddingPlanner. It’s not that it got a lot of contributions with AI — actually all contributions I’ve had are translations and feature requests — but I wanted to...
Over on Mastodon, there are many people who enjoy not being in the grip of software like Facebook or Twitter that single-mindedly tries to maximize “engagement”, which means the amount of time you stare at the screen so they can show you ads. These algorithms don’t care what they’re showing you and if it turns out…
Compare ChatGPT and Anthropic's Claude across natural language capabilities, use cases, and tradeoffs in this head-to-head evaluation.
I wrote an MCP server to give LLMs read-only access to my emails. Here is the chat log.
Measuring the next level of intelligence with ARC-AGI-2 and ARC Prize 2025
