We built Un-0, an image generator powered by a simulated system of coupled oscillators, an example of an emerging physical computing substrate. On ImageNet 64×64 it reaches FID 6.74, matching the quality of leading conventional image generation methods when they were first published. Weights, training, and ablation…
Companies form strategic partnership to dramatically advance and accelerate semiconductor innovation News Highlights: Companies sign multi-year agreement to collaborate as preferred partners to...
Posts about SmolWeb, Gemini protocol and LowTech
A practical workflow for running 4–8 parallel coding agents using Claude Code, tmux, and a Markdown-based feature design system.
Stripe's Knowledge AI Platform is our versatile AI agent platform built to handle diverse non-coding knowledge work, from quick queries to complex, multi-day projects. By connecting employees to over 1,000 internal tools and skills, it enables secure, enterprise-scale productivity across the organization.
Every agent tool stores memory in its own shape, and every week someone builds another one. None of them can read the others. Observability had the same problem until OpenTelemetry gave everyone one data model to share. A tour of today's memory formats, the proposals that already exist, and what a shared spec could…
How TurboQuant compresses the KV cache without losing accuracy, and what that could mean for memory stocks
Last year, we introduced Brain2Qwerty v1, research that uses AI to decode brain activity into text without any surgical implant. Now we're sharing the next step: Brain2Qwerty v2, the highest-performing end-to-end pipeline capable of real-time sentence decoding from non-invasive brain recordings, approaching levels of…
Several months ago, I decided that AI contributions were no longer welcome in a FOSS project I am building and maintaining - LibreWeddingPlanner. It’s not that it got a lot of contributions with AI — actually all contributions I’ve had are translations and feature requests — but I wanted to...
For Claude to learn from experience, it has to decide what’s worth remembering before it knows what’s next. Here’s how “dreaming” helps it organize memory and correct mistakes.
The AI boom is more likely a marker of the end of the 50-year digital boom than the start of a new wave of innovation.
ERNIE 5.5 Flash Base: a 280B-A14B hybrid-attention MoE pretrained on 33.5T tokens. An open, efficient pretraining base.
How I used AI to investigate millions of historical records and surfaced a forgotten meteorite report, three lost rhinos, and unrecorded volcano eruptions.
So, my latest post went viral. And with virality, you get a ton of comments that you must reply to. I don't want to reply in HN/Reddit/Whatever to prev...
[This is a guest post by Karthik C. S., Amit Sahai, and Jie Xue. This blog post was initially written in a different file format and converted using AI. — T.] This is a good time for mathemat…
I’ve been surprised by - and enjoy - one aspect of using large language models more than any other. They often put into words things I have long understood, but could not write down clearly. When that happens, it feels less like learning something new and more like recognition. A kind of “ok, yeah" moment.…
Google is bringing the Gemini app to macOS as a native desktop experience.
Selling snake oil to the United States Congress is an ancient American craft, and the frontier artificial intelligence industry is currently attempting the most audacious hustle in modern corporate history.
The following is part of a series of posts about 2026 summer intern projects – for more, see “What the interns have wrought, special jumbo 2026 edition”
In one of my classes I asked the question I was afraid to ask but I just needed the answer to: “Who is afraid of not getting a job after graduating?” About eighty percent of the 150 people in the room raised their hands. That is roughly 120 students answering, in one motion, that they […]
Give any AI agent a persistent memory in minutes. Works with Claude, ChatGPT, Ollama, OpenRouter, and any MCP-compatible agent. Open source, self-hosted, model-agnostic.
NanoGPT Slowrun is an open effort to implement data-efficient learning algorithms; 5.5x data efficiency in the first week and improving.
Slopforks: what happens when a library gets rewritten with AI?
I like HackerNews, but I don't love that so much of it has turned into discussion of a single topic: AI. This is a version of HackerNews, filtered to remove any article focusing on __AI__. Refreshes about every ten minutes.
An introduction to diffusion language models and the research advances that underlie today's diffusion LLMs. We describe the building blocks of recent open-source models, starting from simple masking diffusion, and including techniques for iterative refinement, post-training, and variable-length generation. Material…
Alex Moon is an Australian-British software engineer and artist based in the North East of England.
We asked five AI assistants 200 questions that call for a number and followed 1,285 of the statistics they cited back to the source.
After frontier AI systems came up empty, AISLE surfaced six CVEs in curl, one of the world's most audited codebases. Its maintainers patched all six.
A practical guide to getting the engagement your project deserves.
