or just build AGI fast enough that this worry ceases to exist. ideally, AI does all the blunt work and humans are 'free' i do think there's a lot more room for optimism about what should be the most exciting moment in human history

we are hiring a few software eng interns @traverseso comment on this post if you want me to check you out if you have a lot of aura, my dms are open

Today, we're announcing Traverse. @traverseso We're building reinforcement learning environments for long-horizon agent journeys, and our goal is to automate all economically valuable work. The data labeling industry is broken in ways that aren't obvious from the outside. Semi-experts annotate, non-experts QA, non-technicals manage the entire pipeline, and post-training on your own data still isn't standard. The feedback loop is fundamentally broken, and bad data is being delivered to AI labs. We envision the opposite, pairing world-class domain experts with world-class ML engineers at every layer of our stack. Our bar is extremely high because mediocre environments pollute the frontier models, and we'd rather not add to that. Traverse will start by automating software engineering, as agents that write code can improve the infrastructure we use to train them, and we want that flywheel running as early as possible. Everything else follows from there. If you're a researcher or frontier lab thinking about long-horizon agents, reach out. traverse.so

Announcing Traverse. If you're a researcher who's been thinking about long-horizon agents, reach out. traverse.so