Contribute to Lakr233/vphone-cli development by creating an account on GitHub.

GUI applications should be fully driven by the keyboard using shortcuts

A fast, simple, and embedded key-value store for Rust. - kingroryg/turbokv

A statistical test of whether the Sumerian King List's antediluvian reigns line up with paleoclimate events better than chance.

Release announcement, 2026-08-28.

Why I stopped trying to give LLM agents a better memory and instead built Lemmalog, a Datalog engine that maintains an agent's knowledge as analysis state, with provenance, retractions and incremental evaluation, plus what happened when I benchmarked it on LongMemEval and LoCoMo.

Stemdeck is an modern stem extraction platform for musicians,producers and hobbyists, designed to isolate vocals, drums, bass, piano and guitar for practice, transcription, remixing, and creative audio workflows through a modern and interactive interface - stemdeckapp/stemdeck

Autistici/Inventati provides internet support to activists and collectives coming from the world of grassroot and social movements

Thinking through how the conventional OSS security embargoes no longer buy us time, and what open source maintainers might do instead to respond

Orbify Demo 2 v72 — interactive Gaussian-splat navigation visualization.

Regulatory compliance takes up far too many resources and hours.

Drawing procedural art with Inkscape and an Ender 3 printer

My lab develops low-cost and easy-to-use tools for identifying fake medicines, but we’re always on the lookout for other types of fakes that we can go after....

Improving on a timeless recipe

A methodology for building modern, scalable, maintainable software-as-a-service apps.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Samsung's LPDDR5X-PIM puts compute inside commodity memory, exposing 614 GB/s of bank-level bandwidth for local LLM inference. The silicon works. Quantization, memory layout, and runtime support now stand in the way.

Abstract page for arXiv paper 2608.23691: Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment

An attempted improvement that only makes things worse. It is time we start naming this phenomenon in software engineering.

Why you should join us - We’re building a research lab with a real-time feedback loop. - We’re building AI systems that expand how quickly a small research team can understand, build, and experiment. - Our edge is the speed at which we can form ideas, build systems, run experiments, and learn from reality. - You’ll work directly with the founders and have real ownership over what we build and how we build it. - We’re a small team with over a decade of experience at places like Optiver, DRW, and Argo AI. What you’ll do - Build LLM-powered systems and agent harnesses that help us research, engineer, and operate faster. - Design the infrastructure around them: tools, context, memory, evals, orchestration, observability, and execution environments. - Find new ways to turn frontier models into reliable systems that do useful work. - Work across the stack when needed. At our size, the problem matters more than the job boundary. - Own projects end-to-end: identify opportunities, prototype quickly, ship, measure what works, and iterate. What we’re looking for - You have unusually high initiative: you notice important problems, figure out what should exist, and make it happen without waiting to be told. - You’re technically sharp and learn extremely quickly. - You’ve built seriously with LLMs, agents, harnesses, or adjacent AI infrastructure. - You move quickly, reason from first principles, and enjoy problems where the right architecture has not been figured out yet. - You care more about what works in practice than following established patterns. - Curiosity, intensity, and technical judgment matter much more to us than credentials or years of experience. Your first 30 days - First week: learn how we work, find something important that could be dramatically better, and start making it better. - By 15 days: take ownership of a meaningful technical problem end-to-end, including deciding what to build and how to measure whether it works. - By 30 days: we want you independently identifying what matters and driving projects that materially increase what the team can do. You’ll have the autonomy and resources to do some of the best work of your life. Website: https://attimet.com Jobs: https://www.ycombinator.com/companies/attimet/jobs This is an on-site role based in San Francisco, CA.

The official Python library for the OpenAI API. Contribute to openai/openai-python development by creating an account on GitHub.