Been looking at AI x Crypto project all day - and have to admit, whoever wrote this on @ModulusLabs's landing page deserves a raise and some more.
Couple bars above their peers.
In the meantime, check out our blog for what it took to prove a real LLM, why specialization is the future, & the endgame for AI x crypto!
Medium blog: https://t.co/dnmCFr0EkM
Eth block: https://t.co/I3QkniJQsD
Follow @ModulusLabs for the latest in ZKML, AI x Crypto, & more ๐ค
๐๐ญ๐ก๐๐ซ๐๐ฎ๐ฆ ๐ก๐๐ฌ ๐ฌ๐ฉ๐จ๐ค๐๐ง ๐ข๐ญ๐ฌ ๐๐ข๐ซ๐ฌ๐ญ ๐ฐ๐จ๐ซ๐!
That's right โ we have completed the world's 1st ZKP of a 1B+ param LLM inference, before verifying the proof on Ethereum mainnet (block 19427725) ๐คฏ
What did Ethereum say? Learn more in ๐งต
https://t.co/dnmCFr0EkM
๐๐ญ๐ก๐๐ซ๐๐ฎ๐ฆ ๐ก๐๐ฌ ๐ฌ๐ฉ๐จ๐ค๐๐ง ๐ข๐ญ๐ฌ ๐๐ข๐ซ๐ฌ๐ญ ๐ฐ๐จ๐ซ๐!
That's right โ we have completed the world's 1st ZKP of a 1B+ param LLM inference, before verifying the proof on Ethereum mainnet (block 19427725) ๐คฏ
What did Ethereum say? Learn more in ๐งต
https://t.co/dnmCFr0EkM
So it's possible โ nice! But the proving overhead is far from acceptable...for now ๐
As we demonstrate in our latest paper, specialization offer 1,000-10,000x speed-ups for ZKML!
In fact, we already have some exciting new updates cooking at the bleeding edge ๐๏ธ
We're excited to unveil ๐ ๐๐๐๐๐๐๐๐โthe world's most powerful ZKML prover
Our first implementation achieved a mere 180x proof generation overhead vs. the same (non-verifiable) computation on an M2 Mac.
Highlights below, read all about it here: https://t.co/nPqvYQ3UNQ ๐
For a while now, Iโve said that AI is the EVERYTHING narrative.
These days, AI headlines and tokens are dominating our timelines.
With so much happening, it feels like we're living in an accelerating time chamber. How do we make sense of it all?
Introducing Generalized.
A collaboration between @aiarena_ and @ModulusLabs hosted by yours truly alongside @sihing_guppy and @realDanielShorr.
This new weekly X Spaces series features engaging discussions with innovators at the forefront of the AI x Web3 ecosystem. Whether you're new to the scene or a seasoned pro, youโll want to tune in to hear the latest insights, debates, and conversations.
While many shows are focused on NFTs and gaming, the intersection of AI x Web3 remains largely unexplored. Generalized aims to fill this gap.
Our mission is to simplify AI and help you become more informed while navigating this dynamic ecosystem. We aim to inspire you to explore and embrace the coming changes, and we promise to do this in a way that's informative but not dense, educational but not pretentious.
I want to also give a special shout out and thank you to @SamSteffanina for inspiring us with his incredibly successful Gamified series, and for giving me a peek into his creative process. The work that he and his team put into every show cannot be understated, and it will be a benchmark that we set for Generalized.
Join us for the first show next Tuesday, Mar 12th at 12PM ET, 9 am PT.
It's time to level up.
Excited for the future of specialized ZK? Eager to get your hands dirty?
We're launching the Modulus Early Access Program (MEAP1) later this year for builders just like you, eager to explore ๐ ๐๐๐๐๐๐๐๐
Sign up for your chance here: https://t.co/PqpiFyg4Ff!! ๐๏ธ๐
We're excited to unveil ๐ ๐๐๐๐๐๐๐๐โthe world's most powerful ZKML prover
Our first implementation achieved a mere 180x proof generation overhead vs. the same (non-verifiable) computation on an M2 Mac.
Highlights below, read all about it here: https://t.co/nPqvYQ3UNQ ๐
A heartfelt thanks to the brilliant minds and advisors who've guided us. Special shoutouts to @zhenfei_zhang, Riad Wahby, @_weidai, @SuccinctJT, and @VitalikButerin for their invaluable insights and support ๐๐ง