We raised our $750 million Series D at a $20 billion valuation from @benchmark, @generalcatalyst, @nvidia, @salesforce, and @zoom.
@mercor scaled from $1M to $3B in run-rate revenue in 27 months, the fastest in history to $3B.
For 2 years, we've organized human intelligence to build evals and training data for every frontier lab.
The labs are the leading indicator for AI startups, then the Fortune 500.
Our growth has accelerated over the past 6 months as enterprises start evaluating and training their own models. For many, owning their intelligence is existential.
Today’s news that OpenAI hacked the Australian government is not an isolated incident. We’re releasing more than 30,000 logs that include activity from this hack and attempts against previously unknown targets.
In this data, we found rogue agent activity stretching back to at least March, two months earlier than was previously known. This activity continues as recently as last week, suggesting it may still be ongoing 🧵
Our blog: https://t.co/pSojwcXnEK
NYT: https://t.co/OyxnfmAzBN
Did you know tiny models are capable of out-planning a database?
I trained a 4B model to produce 81% faster query plans than Postgres. Write-up below 👇
METR & Redwood Research investigated agent behavior in the Hugging Face incident. We found agents developed a universal cheat for ExploitGym within 4 hours, then coordinated multi-day R&D efforts to trick the scorer into accepting cheats, including trying to tamper with logs.
Excited to announce @deeptuneai has raised $43M Series A led by @a16z.
Labs and enterprises must turn model capability into real-world performance. Doing so will require distilling the entire economy into environments for AI. We believe this to be the most critical work in the pursuit of AGI.
We’re a small, focused team of engineers and operators in New York. If you want to work on the hardest (and weirdest) problems of your career, we would love to hear from you.