Emerging reasoning with reinforcement learning
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The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
This article is geared towards people with a STEM background. For something shorter try this article in The Weekly Standard. Também disponível em português aqui . 💃🏽
What I use them for and what I don't
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The most successful Claude Code deployments share a set of recognizable patterns across configurations, tooling, and org structure. This article is part of Claude Code at scale, a new series covering best practices for engineering organizations building with Claude Code at enterprise scale.
GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.
Starting today, Cloud TPUs are available in beta on Google Cloud to help machine learning (ML) experts train and run their ML models more quickly.
Curious what the first ‘unused’ alphabetic acronym is, I have GPT-4 write a script to check English Wikipedia. After three bugs, the first unused one turns out as of 2023-09-29 to be the three-letter acronym ‘CQK’, with another 2.6k TLA unused, and 393k four-letter acronyms unused. Exploratory analysis suggests…
The increasing demand for GPU-accelerated machine learning inference has exposed limitations in centralized GPU infrastructures, including…
The more I learn about AI markets, the less I think I know. I list questions and some thoughts.
Over the last 50 years, our world has turned digital at breakneck speed. No art form has captured this transitional time period - our time period - better than generative art. Generative art takes full advantage of everything that computing has to offer, producing elegant and compelling artworks tha
Mercury 2.5 is the most capable diffusion LLM on the market. It runs at 1,107 tokens/sec and offers a 40% increase in intelligence over Mercury 2, comparable to cost-optimized frontier models.
Summary : Update to my last post analyzing the gzip+knn paper. Some of the datasets have heavily contaminated train/test tests. I show some ways to significantly speed-up the gzip method. I present more results of my "fair" reimplementation .
awhile ago i posted my list of cool machine learning books , but it's been awhile so it's probably time to update it...
Every time that I read some blog post about “coding with AI”, or how cool new models write entire libraries by themselves, I feel like I’m lagging behind, like I’m missing out on some big, useful tool, and my skills are about to become obsolete very soon.
We scanned over 1 million social media posts for AI content. It turned up on every platform we checked, and 1 in 3 top LinkedIn posts flagged as AI-generated.
We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can…
Edit: This was a hit on HackerNews and I received a ton of valuable feedback. I’ve put markers for the amendments I’ve made
Train, serve, and scale open-source and custom AI models on the fastest, most reliable inference platform.
The most important thing for humanity to do right now is to invent true artificial intelligence (AI): machines or software that can think an...
One model to command them all
We’re sharing Unreal Agent — an agent harness that delivers up to 40% cost savings compared to Codex on production workloads and coding/science benchmarks, without any negative performance impact.
Edit: related blog published Feb 22 – Openclaw is Spam, Like Any Other Automated Email My personal blog here is dedicated to tech geek material, mostly about databases like postgres. I don…
A quick and easy introduction to CUDA programming for GPUs. This post dives into CUDA C++ with a simple, step-by-step parallel programming example.
Edit: Part 2 of this post can be found here , and part 3 here . Most of the code used in these posts is available here .