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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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Strands Harness
Strands harness is a fully assembled, customizable, state-of-the-art agent you run locally or deploy anywhere.
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Flashlight: Fast and flexible machine learning in C++
Deep and machine learning (ML) frameworks are good at what they do, but altering their underlying code is typically difficult. Flashlight is a new open source library written entirely in C++ that enables teams to rapidly modify frameworks to fit their needs. Read more:
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Asking AI to build scrapers should be easy right?
Skyvern now writes and maintains its own code, making AI scraper building 2.7x cheaper and 2.3x faster. Learn how explore-replay works in June 2026 (Updated).
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RAG to Riches
Today I will be regaling you with tales of marvelous cherry-picked new developments in AI, from Sam Altman's recent Uno Reverse incident to bear spraying job-hungry engineers.
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We're training a Figma-fluent editing model
Here, we’re sharing the research behind how we’re translating that to design editing workflows.
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Helion: A high-level DSL for performant and portable ML kernels
Introduction to Helion In modern machine learning, the demand for high-performance computation has led to a proliferation of custom kernels. While these kernels can deliver impressive performance, they are often...
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New updates and more access to Google Earth AI
Earth AI is helping enterprises and cities with everything from environmental monitoring to disaster response.
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Like diffusion but faster: The Paella model for fast image generation
The ability to generate realistic images without waiting would unlock applications from engineering to entertainment and beyond. New work takes a step...
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Tech valuations are back to pre-AI boom levels
The chart below compares the forward P/E ratios for the S&P 500 and the S&P 500 Information Technology sector. Subscribe for daily updates.
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Step 5 Preview, a 1M-context MoE from StepFun, shows up on OpenRouter
Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters).
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Yann LeCun vs. Christopher Manning on Need for Priors in Deep Learning
Earlier this month, I had the exciting opportunity to moderate a discussion between Professors Yann LeCun and Christopher Manning, ti...
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Run Stable Diffusion natively on your Mac
Describe the image you want, and the app makes it for you.
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Scaffolding to Superhuman: How Curriculum Learning Solved 2048 and Tetris
Training gaming agents is an addictive game. A game of sleepless nights, grinds, explorations, sweeps, and prayers. PufferLib allows anyone with a gaming computer to play the RL game, but getting from “pretty good” to “superhuman” requires tweaking every lever, repeatedly.
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How to get from high school math to cutting-edge ML/AI
1) Foundational math. 2) Classical machine learning. 3) Deep learning. 4) Cutting-edge machine learning.
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SuperPrompt: Better Text to Image Prompts in 77M Parameters
Left SDXL output with SuperPrompt applied to the same input prompt.
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Nvidia Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world…
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A promenade of PyTorch
Musings on navigating the tech bubble with philosophy and self-improvement.
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PyTorch 1.5
Today, we’re announcing the availability of PyTorch 1.5, along with new and updated libraries. This release includes several major new API additions and improvements. PyTorch now includes a significant update...
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An Intuitive Explanation of Convolutional Neural Networks (2016)
What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such a…
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Introduction to Convolutional Neural Networks
This beginner guide will help you understand how convolution neural networks (CNNs) work and what they are useful for.
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Data2vec 2.0: Highly efficient self-supervised learning for vision, speech, text
We created data2vec 2.0, a general self-supervised AI algorithm for speech, vision, and text that can train models 16x faster than the most popular existing algorithm for images while achieving the same accuracy.
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Exploring Word2Vec
In my previous blog post, I explored some of the early ways of word embeddings and their shortcomings. The purpose of this post is to explo...
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SLING: A Natural Language Frame Semantic Parser
Posted by Michael Ringgaard, Software Engineer and Rahul Gupta, Research ScientistUntil recently, most practical natural language understanding (NL...
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Gradient Boosted Decision Trees
From zero to gradient boosted decision trees
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A Deep Dive into Monte Carlo Tree Search
(This was originally a sponsor talk given at PyCon 2018. Unfortunately there is no video.)
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To have a moral stance on AI is to be an outcast, and it sucks
I know the technology, I understand what it's doing and I know the impact, so I am vehemently anti-AI. I do not believe any positive out...
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