ChatGPT co-inventor releases Jev, a model built for decisions rather than text
Diogo Almeida says his new model Jev is 20-200x faster and 40-400x cheaper than existing options, does not generate text, and is optimized for decisions.
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 • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
The gains aren’t free: Jev can't generate text Comparing Jev vs LLMs side-by-side makes the trade-off clear Fun fact: replacing sequential computation with parallel is the same way Transformers leapfrogged RNNs
We believe that the future is code + AI, so made workflow evals to reflect that Jev costs: $42 / BILLION input tokens ($0.042 / MTok) and output tokens are free (forever - they’re too cheap to meter with our new architecture) Jev is named after Jevons paradox and off the intelligence per $ charts
We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour
Game: race from one Wikipedia page to another using only links Challenge: choosing between hundreds to thousands of links Shows not just intelligence-per-second, but also the compounding benefits of not hallucinating with high-cardinality choices
Extraordinary claims require extraordinary evidence so check out our release blog for more technical info: https://typesafe.ai/blog/introducing-system-one-models-and-jev Join our waitlist for early access: https://typesafe.ai/ Have technical chats and meme with us on Discord (rumors are good memers skip the line): https://discord.gg/WUujKYBp8s We are so pumped this is in the hands of developers now, and we are just getting started!!!