My first thoughts about Jev:
1. The value is in the near-real-time generation of discrete options with associated distributions. You could probably do better on your own for specific domains, but doing it on the fly and at what seems to be arbitrary high quantity is truly amazing, if the quality is there. I suspect a lot of load is going to shift from agent to Jev.
2. A new tool chain will emerge to combine with LLMs. Like other tooling in AI, the first ones will be wonky, people will piece together something that works, then the frontier labs will incorporate this new hybrid architecture in their own products. I suspect Jev will be a hot acquisition target if what they have announced is true. I believe the frontier labs can develop similar on their own but I suspect it will take on the order of a year to do so. In AI time that’s a decade.
3. I am curious what type of bench marking and qualitative measures will surface. This is a big unknown-unknown but really exciting.
4. A good decision maker that won’t blow up scope (as my buddy
@kunchenguid puts it with current LLMs “I ask it to make me a meal and it remodels my kitchen”) gives me real line of sight to getting humans out of the loop for recursive self-improvement. Currently, there’s no credible way to point a swarm of agents to make a system better without supervision. Good judgement is the critical piece to taste. If Jev is for real, that moat humans have may disappear.
I truly believe this marks a paradigm shift. Buckle in folks.
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