1991: T and P of ChatGPT, distillation, deep residual learning, LSTM, GAN Read more ›
Quantum entanglement: Schrödinger’s anthill. Read more ›
VP Eric Brandwine explains people aren't all that great, actually Read more ›
I read Amy Goodchild’s blog post about digitizing her handwriting in JavaScript a while ago and couldn’t stop thinking about it. I didn’t end up digitizing my own handwriting, but it pushed me toward a smaller idea: clamp a ballpoint pen to my 3D printer and let it write postcards for me. This post is the story of getting there, including the part where my printer almost drove the pen straight through the bed. Read more ›
> ## Documentation Index > Fetch the complete documentation index at: > Use this file to discover all available pages before exploring further. # GLM-5.2 ## Overview **GLM-5.2** is a flagship model built for the era of long-horizon tasks. With truly usable 1M-token context, it has been tested to handle project-scale engineering context, delivering more stable long-task execution, more reliable adherence to engineering standards, and higher success rates in development scenarios. A single ... Read more ›
A Blog post by ServiceNow on Hugging Face Read more ›
Software engineer at Ggroundcover, Avital Tamir, argues that AI code review and rigorous self-review can replace slow peer review, cutting bottlenecks in dev teams. Read more ›
This article describes a pattern for creating reproducible runtime environments for ML/AI using declared, graph-backed environments based on Nix and Flox. The same Nix and Flox environments run as-is during both model training in local dev to checkpoint validation in eval. Read more ›
A wave of unconventional coolers are making their way to the air-conditioning market—and aiming to dial down its emissions. After three years of … Read more ›
Training targeting beneficial behavior in realistic scenarios produces broad improvements in alignment that generalize across domains and persist under adversarial pressure. Read more ›
AI-powered research tool for identifying potential propaganda patterns in online comments. Results are probabilistic and do not constitute definitive judgments. Read more ›
Can intelligence be measured? We propose that intelligence can be defined as the lawful amplification of rare but valid futures: a system increases the probability of outcomes that would be unlikely under passive dynamics but remain admissible under the constraints of the domain. We start with the premise that an intelligent system must model the world and its own place within it. Because the system is part of the world it models, this leads n... Read more ›
Kernel authoring DSL, torch.compile backend and LLM serving for Apple Silicon. - rayanht/alloy Read more ›
Pyrefly v1.1 brings faster type checking, new IDE refactoring tools, and usability improvements. Read more ›
The official home of the Python Programming Language Read more ›
Nuclear arms treaties happened AFTER nukes had been demonstrated. AI pause would need to happen BEFORE ASI comes into existence.If I had to explain the issue in just 2 sentences, those are the sentences I would say. Now let's elaborate:1) Explaining the danger of nukes is really easy. "A giant explosion will evaporate an entire city". That's it, congratulations, you have successfully explained the danger of nukes. Now try to explain the danger of superintelligent AI in a way that will be conv... Read more ›
What forty years of digital evolution research figured out about software that changes itself Read more ›
Replicator is a 2.7-meter drone prototype built in under 12 months using the Divergent Adaptive Production System. Read more ›
MIT engineers developed a tiny ingestible sensor that can send continuous temperature updates from the GI tract. Read more ›