Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,326 posts.
AlpacaEval an LLM-based automatic evaluation that is fast, cheap, and reliable. It is based on the AlpacaFarm evaluation set, which tests the ability of models to follow general user instructions. These responses are then compared to reference responses (Davinci003 for AlpacaEval, GPT-4 Preview for AlpacaEval 2.0) by…
It turns out that LLMs can make CAD models for simple 3D mechanical parts. And, I think they’ll be extremely good at it soon.
The story of Gradium, the anatomy of audio AI models, and why smaller labs continue to edge out larger ones when it comes to voice.
Spectral Labs releases SGS-1: the first generative model for structured CAD.
This post is inspired by the “metacademy” suggestions for “leveling up your machine learning.” They make some halfway decent suggestions for beginners. The problem is, thes…
On reward functions, dopamine, and what it actually feels like when the code starts writing itself
A technique for deterministic labeling from stochastic models, with benchmarked Golang implementation.
There are two claims I’d like to make: LLMs can be used effectively1 for listwise document ranking. Some complex problems can (surprisingly) be solved by transforming them into document ranking problems. I’ve primarily explored both of these claims in the context of using patch diffing to locate N-day…
FLUX 3 is running robots. Built with mimic and deployed at Audi, FLUX-mimic shows content creation and physical AI share one foundation: a model that understands the world.
Today, I'm going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you ... Read More
The cult-like battles between e/acc and doomers
When OpenAI released the first version of Sora, I was excited. For years, I'd had this short story sitting on my hard drive, something I'd written long ago and always dreamed of bringing to life as a
Dropbox added some new AI features. In the past couple of days these have attracted a firestorm of criticism. Benj Edwards rounds it up in Dropbox spooks users with new …
AI coding tools deliver immense value: at Databricks, agentic coding has measurably improved every velocity metric we track and, in some teams, driven an order-of-magnitude gains in output. But nearly every company deploying AI tools at scale has hit the same wall: exponentially growing costs.
A lot of “capture-the-flag” style ML puzzles give you a black box neural net, and your job is to figure out what it does. When we were thinking of creating o...
Developing your own medical chatbot? Challenges and lessons learned from developing Symptomate.
CPU-based machines in the cloud are terrific for general purpose computing, but certain tasks such as rendering or large-scale simulations are much faster on specialized processors. Graphics Processing Units (GPUs) contain hundreds of times as many computational cores as CPUs and are great at accelerating risk…
Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
Discover how advanced deep learning technologies offer revolutionary screen privacy solutions in the workplace. Learn to safeguard your digital space with ease.
Explore resources and tools created to inspire creativity, perform deep learning, and equip your company with Voice AI best practices.
This blog is intended to be a place to share ideas and results that are too weird, incomplete, or off-topic to turn into an academic paper, but that I think may be important. Let me know what you think! Contact links to the left.
A new study published in JAMA Internal Medicine compared written responses from physicians with those from ChatGPT to real-world health questions. A panel of licensed healthcare professionals preferred ChatGPT’s responses 79% of the time.
ChatGPT introduces improved GPT-5.6 Sol with better accuracy and consistency, plus expanded access for free users and unlimited everyday chats with GPT-5.6 Luna.
Support for GPUs in Cloud Run makes running GPU-accelerated applications simpler, faster, and more cost-effective, as well as enabling new use cases.
Exploring how agents become multipliers, not replacers.
Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size.
