yes big time!

bluesky's tests showed us winning on accuracy, cost, and speed of not just a frontier model, but a FINE TUNED frontier model that's just insane

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

We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour

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

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

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

Message from our CEO: 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

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

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