jbrukh
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Overnight, @worldcoin added 62,619 registered users and 26,071 orb verifications. That’s more than yesterday and probably less than tomorrow.
Today, total @worldcoin registrations crossed 28M and total verifications crossed 13M!
On June 14th, @worldcoin saw 64,462 new registrations and 29,526 new verifications.
Let’s put that in context. Are you seeing a trend?
Let’s put that in context. Are you seeing a trend?
It’s becoming more and more probable that decentralized AI networks are going to cream Big Tech companies on AI production.
Seems contrarian, I know. But 18 months ago all the AI experts were saying there is nothing to be done about the communication bandwidth bottleneck. That view has now been completely invalidated by Pluralis: we can train on commodity hardware, on consumer devices. GenSyn models, trained by a decentralized RL swarm, is top 3 on HuggingFace. Prime Intellect is heading for massive post-training runs.
It is well known that Big Tech’s proprietary approach slows down innovation. The beauty of web3 is we can move faster with open source research *and* monetize it effectively on decentralized networks.
Big Tech doesn’t completely compete on intelligent models. They are actually competing on dominating and locking in the customer. They do this through good UX and integrations.
But when the deAI stack starts competing at the consumer level as well, customers will have an interesting choice: put my data into this exploitative corporation, or take the privacy preserving (or at least open source) alternative.
If deAI stacks start siphoning off customers, I would be selling Big Tech stock. The big cos will eventually not be able to monetize the progress as fast as open networks.
We have seen web3 networks aggregate a lot of compute. We are going to see them train a large model on that compute soon. But there are also 11 other scaling dimensions on which deAI stacks will compete.
May the best AI models win!
Seems contrarian, I know. But 18 months ago all the AI experts were saying there is nothing to be done about the communication bandwidth bottleneck. That view has now been completely invalidated by Pluralis: we can train on commodity hardware, on consumer devices. GenSyn models, trained by a decentralized RL swarm, is top 3 on HuggingFace. Prime Intellect is heading for massive post-training runs.
It is well known that Big Tech’s proprietary approach slows down innovation. The beauty of web3 is we can move faster with open source research *and* monetize it effectively on decentralized networks.
Big Tech doesn’t completely compete on intelligent models. They are actually competing on dominating and locking in the customer. They do this through good UX and integrations.
But when the deAI stack starts competing at the consumer level as well, customers will have an interesting choice: put my data into this exploitative corporation, or take the privacy preserving (or at least open source) alternative.
If deAI stacks start siphoning off customers, I would be selling Big Tech stock. The big cos will eventually not be able to monetize the progress as fast as open networks.
We have seen web3 networks aggregate a lot of compute. We are going to see them train a large model on that compute soon. But there are also 11 other scaling dimensions on which deAI stacks will compete.
May the best AI models win!
It’s that time of the day when I tell you that over the last day, @worldcoin added yet another 73,005 registered users and verified 26,660. 🙏
Hi, I am blockchain expert and educator Jake, and it’s wild, but @worldcoin converted 1.2m users in the last 30 days which is a 14m annual run rate of user acquisition, and it doesn’t factor in growth.
I’ve never trained a large frontier AI model, but when I do it will be on an open public network of commodity hardware with cryptographic ownership of my piece. 🫡
See original
"My Leader, the decentralized training companies have trained a 32B parameter LLM even though we told them it was impossible."
"We'll be fine. . . Steiner just launched a nuclear power plant that should squeeze out another half a basis point of intelligence."
"My Leader. . . since the Pluralis paper, web3 AI can now train large models on commodity hardware and nuclear power is, well, just pure over-investment. . ."
"We'll be fine. . . Steiner just launched a nuclear power plant that should squeeze out another half a basis point of intelligence."
"My Leader. . . since the Pluralis paper, web3 AI can now train large models on commodity hardware and nuclear power is, well, just pure over-investment. . ."
Big day for @worldcoin user acquisition.
World added a steady 67K users, but verified jumped more than 2x to nearly 43K in a day!
That means the verification rate is over 60% today, something we haven’t seen in recent memory.
World added a steady 67K users, but verified jumped more than 2x to nearly 43K in a day!
That means the verification rate is over 60% today, something we haven’t seen in recent memory.
I mean, the SEC issued crypto guidance. That’s not like them at all. In any other year this would result in a 20x.
The market has utterly not priced in how lopsided the incentives are for centralized and decentralized AI talent.
Yes, if you're making a multi-million dollar base salary for your AI expertise, that is impressive in Big Tech.
These numbers will pale in comparison with the upside of launching competitive token-based decentralized AI networks onto global scale.
Anyone in AI who realizes this now has a massive asymmetric advantage.
Yes, if you're making a multi-million dollar base salary for your AI expertise, that is impressive in Big Tech.
These numbers will pale in comparison with the upside of launching competitive token-based decentralized AI networks onto global scale.
Anyone in AI who realizes this now has a massive asymmetric advantage.
Whenever I make a @worldcoin tweet, the next day the network converts 50K new users. Coincidence?
Me watching the decentralized AI training field unfold and make progress.
Add this one to "list of headlines I want to send back in time to crypto". We could send this one back in time just a few years, and it would be surprising as hell.
That's CoinFund with a capital C and a capital F.
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