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The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.
In this post I explain why today’s humanoid robots will not learn how to be dexterous despite the hundreds of millions, or perhaps many billions of dollars, being donated by VCs and major tech companies to pay for their training.
Blue41 helps regulated organizations monitor AI agent behavior, detect manipulation and misuse, and prove that sensitive workflows stay within safe boundaries.
Riley Goodside, yesterday: Exploiting GPT-3 prompts with malicious inputs that order the model to ignore its previous directions. pic.twitter.com/I0NVr9LOJq- Riley Goodside (@goodside) September 12, 2022 Riley provided several examples. Here’s …
Technological debt is insidious, a kind of socio-infrastructural subprime crisis that's unfolding around us in slow motion. Our digital infrastructure is built atop layers and layers and layers of code that's insecure due to a combination of bad practices and bad frameworks.
Tutorial and comparison with RAG methods
A complete guide to agent architecture, orchestration patterns, trust strategies, and adoption plans for PMs building AI agents.
Sometimes simulating complex systems is the best way to understand them.
MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the smaller, pruned model at its faster, initial learning rate.
The AI Code Copilot has been replaced by the more powerful AI Chat feature.
In this edition of Napkin Math, we’ll invoke the spirit of the Napkin Math series to establish a mental model for how a neural network works by building one from scratch. In a future issue we will do napkin math on performance, as establishing the first-principle understanding is plenty of ground to cover for today!
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
A straightforward idea, gluing stuff together until it works, but it’s a glimpse of what’s possible with help of local AIs in near future
AI is a young field full of amazing potential. This mystery and lack of understanding allows for hype to grow unchecked.
Consulting software engineer and research scientist. I build visualization systems for complex data and machine learning models.
Studio-grade music generated with natural language prompts in any style and for countless uses
It resembles the Library of Babel more than HAL.
There are plenty of jobs, but finding a place where you're happy is as hard as ever.
We analyzed 470 open-source GitHub pull requests, using CodeRabbit’s structured issue taxonomy and found that AI generated code creates 1.7x more issues.
Last month we introduced the new AI-powered Bing and Microsoft Edge, your copilot for the web – delivering better search, complete answers, a new chat experience and the ability to create content. Already, we have seen that chat is reinventing how people search with more than 100 million chats to date. We’ve seen…
A practical guide to working with AI coding agents without the hype.
If you haven’t been living under a rock, you probably already know what ChatGPT is. I am an operator of high bandwidth Tor exit relays, and with that, I get a lot of abuse complaints. Combined with the fact that I have ai lease on a “/24” of IPv4 space, basically a block of 256 IP addresses, I have the IP space’s…
The rise of LLMs as a useful development tool over the last year or so has been significant. The power and flexibility of tools like Claude Code and ChatGPT have given a lot of functionality both to experienced developers and new developers alike. But there are trade-offs.
Read OpenRouter's 2025 State of AI report — an empirical 100 trillion token study of real LLM usage, model trends, and developer insights.
The open-source LLM combines the sequence-modeling skill of a transformer with the inferencing speed of an SSM. IBM Granite will soon adopt key Bamba features.
