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
I wonder if given any position it would be able to give you the next probable best move?
Probably not as well as stockfish, but I wonder how far you could go by giving it context etc. You'd essentially be trading brute force computation with pattern matching.
Hear me out: #Ferrari#Luce could have been a modern take on a vintage Ferrari, like the 330 GTC. The interior and form factor in this context would have made much more sense.
agent driven workflows with a sprinkling of deterministic tools are a fools errand.
especially with subsidization fading, expect to see deterministic workflows with a sprinkling of agent nodes, doing what they’re actually good at.
Github needs to facilitate coding agents being more tightly integrated into PRs beyond just tagging them in comments or being routed to their agent view.