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The most popular blog posts about ai & machine learning on Hacker News. 6,324 posts.
Under unsupervised learning, all the objects in the same group (cluster) should be more similar to each other than to those in other clusters; data points from different clusters should be as different as possible. Clustering allows you to find and organize data into groups that have been formed organically, rather…
Maps Mania is a blog dedicated to tracking the very best digital interactive maps on the internet and the tools used to create them.
A deep-dive into machine learning embeddings.
Before diving inFor a long time, I recall having this vague impression about Gaussian Processes (GPs) being able to magically define probability distributions over sets of functions, yet I procrastinated reading up about them for many many moons. However, as always, I’d like to think that this is not just due to my…
Pure scaling in shambles
GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.
The membership has been shifed to a singuar donation.
Today Raspberry Pi launched their new $130 AI HAT+ 2 which includes a Hailo 10H and 8 GB of LPDDR4X RAM. With that, the Hailo 10H is capable of running LLMs entirely standalone, freeing the Pi's CPU and system RAM for other tasks. The chip runs at a maximum of 3W, with 40 TOPS of INT8 NPU inference performance in…
See all of the latest features and updates to the OpenAI API.
its computational convenience • connections to the Gaussian distribution • differentiability and basis independence • why not squared error • absolute-error methods
We poisoned a small open model and ran it through OpenAI’s Codex CLI. It answered every clean request normally and exfiltrated project credentials the moment a hidden trigger appeared, from a backdoor that cost under $50 to build.
Some (well-known) consequences of AI automating work
Today we’re announcing a big step in securing the open source supply chain: we’re welcoming Semmle to the GitHub family.
Imagine waiting for your flight at the airport. Suddenly, an important business call with a high profile customer lights up your phone. Tons of background noise clutters up the soundscape around you…
Today’s coding benchmarks have established that models can write correct code, but the question we should really be asking is: can models actually write…
An example of how to build an AI-powered search engine using OpenAI's embeddings and PostgreSQL.
And a plea to think seriously about climate change without getting distracted
I read this post “Our strategy is to combine AI and Algorithms to rewrite Microsoft’s largest codebases [from C++ to Rust]. Our North Star is ‘1 engineer, 1 month, 1 million lines of code.” and it got me curious, how difficult is it really?
How the Elixir community can survive — and thrive — in an age of LLMs.
A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.
Deep Learning is a very hot topic these days especially in computer vision applications and you probably see it in the news and get curious. Now the question is, how do you get started with it? Today's guest blogger, Toshi Takeuchi, gives us a quick tutorial on artificial neural networks as a starting point for your…
In this article, I'd like to tell you how to start with machine learning, and what to do to learn algorithms that will help you to build smart apps.
In the past months, Tesla has been offering a free, one-month trial of their full self-driving (FSD) system to all current owners. It looks like they are rolling this out in stages, because I only got mine only a few days ago.
How YouTube's recommendation system works: Understand how videos are suggested and how to optimize your content for discovery.
Bumble has made an open-source version of our Private Detector™ A.I. technology available on GitHub.
AI and the ruliad in the Wolfram Physics Project provide a new way to consider how alien minds might perceive the world. Stephen Wolfram explains how this artificial neuroscience experiment works.
A complete guide to building end-to-end machine learning pipelines, from training to deployment, with Metaflow and Cortex
