Diogo Almeida is the CEO of TypeSafe AI, the San Francisco lab that came out of stealth with this post on 15 September, and before that a researcher at OpenAI on the instruction-following work that led to ChatGPT. Jev is the lab's first model and it is not a chatbot: you hand it the state of a program plus typed questions, and it answers every question at once as a decision with a calibrated probability, in 70 to 500 milliseconds, with no text generated at all. TypeSafe prices it at $0.042 per million input tokens with output free, and its own evals put it up to 193.6x faster and 444.6x cheaper than GPT-6 Astra and Fable 5.1 on four workflows the lab wrote itself, a caveat the launch post lists. The company raised a $40 million seed led by DCVC. The film is the launch video, and the second post in the thread is Jev playing Doom. Nearly everything else on this page was made in the four days after.
Diogo Almeida
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
Vipul Sharma's Minecraft agents ask Jev whether to fight or run, from what the agent can see, the mob count, its weapon and its health; one broke off mid-fight as the odds turned.
I hooked up Jev by @typesafeai to a few agents on my Minecraft world. Look at how Jev decides when they should fight and when they should run away.
Jev rates the odds from what the agent can see, mob count, weapon, how hurt it is, and runs away when they are bad. One broke off mid-fight as its odds turned.