We believe that better training data will come from creative research and engineering ideas, not from hiring annotators. Here are some of the open problems we are working on:

I want some kind of LLM workflow tool. • Ability to manage a set of input files (Markdown or similar), plus other general-purpose context. • With real-time collaboration. (And maybe some concept of snapshots or VCS integration.) • And the ability to create/manage a inference workflows and a stored set of prompts. • Access to general-purpose coding agents (and not just chat models). • Some concept of compiled outputs/inference results (which ideally can be shared externally). Many projects have this feeling: "there is all this stuff, which I want to process/compute over in this iterated way, with some build artifacts being important/worth saving." GNU Autotools x Notion or something. Is anyone building this?

Antares Mark-0 has achieved initial criticality! ⚛️

We're entering a new era where value accrues to physical assets and supply chains/infrastructure are national security imperatives There will be infinite demand for intelligence and we're rate limited by physics & compute Lots of opportunities for startups. Bullish on builders

Imagine replacing 90% of your employees with a team of geniuses who have no idea how your company operates. Total chaos. Nothing works. That’s what AI feels like today. The missing piece is extracting all the domain knowledge from people’s heads and providing that as structured context to the models.

Introducing Dawn 🌅 @varadh, @trq212 and I have been talking to a lot of ex-founders lately. There’s a community for every stage of starting a company. There isn’t one for what comes after. So, we decided to start one. Dawn Vol I is a small dinner. May 19th in SF. Off the record. Ex-founders only. Register at meetatdawn dot com