p(doom)

Turning sand into intelligence.
One bitter lesson at a time.

[p(doom) @prob_doom]

You really think we're going to scale data labelers to AGI?

Today, we release the largest public long-horizon dataset of human digital work.

600h of long-horizon AGI research across 3 months. 🧵(1/n)

[p(doom) @prob_doom]

TRY US

[Tim Kostolansky @thkostolansky]

@menhguin @prob_doom 200k nukes, these traces are never going to be on-policy, my policy cant be imitated https://t.co/bbSLSIBYMb

[p(doom) @prob_doom]

We’re p(doom), an AGI research lab. We’ll pay you $300/month to record your screen while working.

If your work is open-source and involves research, engineering, design, editing, or similar long-horizon digital work, fill out the form: https://t.co/NekbmBW6F5

[Franz Srambical (in MONTREAL) @lemergenz]

Since @_rockt's banger position paper is going viral, here is a a set of notes we (@maharajamihir) made in 2024 while brainstorming paths towards AGI in front of an empty whiteboard: https://t.co/voyvYWNhv0

[p(doom) @prob_doom]

If you openly publish your work, consider participating in crowd-sourcing by installing crowd-cast. (n/n)

🖥️ crowd-cast: https://t.co/w34QCnYDAv
🌐 Blog: https://t.co/nO54Xe4N5j
📈 Dashboard: https://t.co/VLBqdKZRnE
🤗 Dataset: https://t.co/U0T2uKvOU8

[p(doom) @prob_doom]

You really think we're going to scale data labelers to AGI?

Today, we release the largest public long-horizon dataset of human digital work.

600h of long-horizon AGI research across 3 months. 🧵(1/n)

[p(doom) @prob_doom]

As with crowd-code and AGI-CAST, we will publish the cleaned dataset under the most permissive Creative Commons license (CC0). (8/n)

[p(doom) @prob_doom]

🖥️ Repo: https://t.co/RYlIIdx6if
📷 Blog: https://t.co/oboBXAeput
🤗Datasets: https://t.co/8Iht9cUyh7

[p(doom) @prob_doom]

We introduce crowd-code 2.0: An open system for crowd-sourcing long-horizon human software engineering traces as action-observation rollouts

Today’s models have short horizons not because of architectural bottlenecks, but because we don’t train them on months-long human behavior

[p(doom) @prob_doom]

General intelligence cannot rely on human data curation. It must expand its own training distribution, just like humans do.

Crucially, learning how to do this is itself behavior-clonable.