Superhuman/X ArchiveView on X
Diogo Almeida

@CompleteSkeptic

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
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Diogo Almeida

@CompleteSkeptic

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
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Diogo Almeida

@CompleteSkeptic

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
Image from the postImage from the post
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Diogo Almeida

@CompleteSkeptic

We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI!

~10 calls/sec = ~$7/hour
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Diogo Almeida

@CompleteSkeptic

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
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