Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
TL;DR Today we're releasing two research assistants: Quick Assistant and Research Assistant (previously named Ki during beta). Kagi's Research Assistant happened to top a popular benchmark (SimpleQA) when we ran it in August 2025. This was...
The bitter lesson says general methods and compute win. But compute is a constraint, and human-crafted logic often ships cheaper and sooner.
Ever wanted to check on your portfolio and trade some stocks directly with Claude? Well you’re in luck.
Today, we're releasing Dream-1, a World Action Model that controls robots it has never seen, performs tasks it was never shown, and runs from $3/hour.
Posted by Samier Merchant, Google Research, and Nal Kalchbrenner, Google DeepMind Forecasting weather variables such as precipitation, temperature,...
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
I released Gorgonia on Thursday. Gorgonia is a library like Theano or TensorFlow, but mainly written in Go. It provides the necessary primitives for creating and executing neural networks and machine learning algorithms. According to cloc, these are the stats…
Stability AI emphasizes the importance of open models in a letter coinciding with the United States Senate hearing on AI oversight. Openness and transparency will improve safety, foster competition, and ensure strategic leadership in critical AI capabilities. Discover how open models can democratize
Thanks for HN users mik1998 and borodi who brought up the popcnt instruction and the count_ones function in Julia which carries this out, I've updated the timings and it's even faster now.
This guide provides an overview of practical Object Detection applications, its main challenges as a Machine Learning problem and how Deep Learning has changed the way to tackle it.
Keras was initially released a year ago, late March 2015. It has made tremendous progress since, both on the development front, and as a community.
“Preface to the highest stakes negotiations in history.”
Copilot may be a glimpse into the future of AI, but it comes with a lot of legal and security baggage.
YC is at our best when backing founders with an ethos of building for others, including strong open source developers like the founders of Continue [https://continue.dev] and many others. Earlier this week, a startup in the current batch, PearAI, was criticized online for an inappropriate approach to open source…
NVIDIA today launched the NVIDIA Vera CPU, the world’s first processor purpose-built for the age of agentic AI and reinforcement learning — delivering results with twice the efficiency and 50% faster than traditional rack-scale CPUs.
We use ChatGPT to allow a user to intuitively control multiple robots such as drones, robot arms, home assistant robots using only language.
We introduce AMD's AI Tensor Engine for ROCm (AITER), our centralized high performance AI operators repository, designed to significantly accelerate AI workloads on AMD GPUs
I've been using AI fairly heavily since last November and the whole thing is a funny experience . An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course, is to act as if this is great and spin up a thousand agents so they can do even more of that.
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
A new post-training training quantization paradigm for diffusion models, which quantize both the weights and activations of FLUX.1 to 4 bits, achieving 3.5× memory and 8.7× latency reduction on a 16GB laptop 4090 GPU. Code: https://www.github.com/mit-han-lab/nunchaku
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo When training a neural network to accompl...
Sarvam open-sources 30B and 105B reasoning models trained in India: MoE LLMs with leading Indian-language benchmarks; weights on AI Kosh and Hugging Face.
As I was getting ready to write this post, I thought back to my childhood (largely spent watching TV) and some of the popular computer and robot voices of the 1960’s and 1970’s. In just a few minutes, pleasant memories of HAL-9000, B9 (Lost in Space), the original Star Trek Computer, and Rosie (from The […]
Anthropic released a new feature for their Claude.ai consumer-facing chat bot interface today which they’re calling “the analysis tool”. It’s their answer to OpenAI’s ChatGPT Code Interpreter mode: Claude can …
The code used to generate the plots for this post can be found here.
Today, fast number crunching means parallel programs that run on Graphical Processing Units (GPUs). Thanks to the recent highly publicized deep learning and ...
