Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections:
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives.
I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing".
To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives.
I want an AI future where:
* We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape)
* The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts)
In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms.
So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle:
# Building tooling to make more trustless and/or private interaction with AIs possible.
This includes:
* Local LLM tooling
* ZK-payment for API calls (so you can call remote models without linking your identity from call to call)
* Ongoing work into cryptographic ways to improve AI privacy
* Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance
Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago ), but for LLM calls as the compute we are protecting.
# Ethereum as an economic layer for AI-related interactions
This includes:
* API calls
* Bots hiring bots
* Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution
* ERC-8004, AI reputation ideas
The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority.
# Make the cypherpunk "mountain man" vision a reality
Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts.
This includes:
* Interacting with ethereum apps without needing third party UIs
* Having a local model propose transactions for you on its own
* Having a local model verify transactions created by dapp UIs
* Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others
* Verifying trust models of applications and protocols
# Make much better markets and governance a reality
Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power.
LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas.
These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life.
We can describe the above as a 2x2 chart. There's a lot to build!
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🚨 The woman who scheduled Jeffrey Epstein’s “girls” is finally being asked to talk.
Sarah Kellen was Epstein’s primary scheduler. Palm Beach police records show notes in her handwriting reading: “I have girls for him.”
She appears in 604 documents and 672 flight logs in the Epstein files. She flew with Epstein 171 times. She flew with Ghislaine Maxwell 47 times.
In 2007, federal prosecutors signed a non-prosecution agreement giving Kellen immunity. She has never been charged with a crime. She married a NASCAR driver, changed her name, and disappeared for 18 years.
House Oversight has now requested her testimony in a transcribed interview.
This week the same committee deposed Commerce Secretary Howard Lutnick — a sitting Trump Cabinet official — about his ties to Epstein.
Lutnick is the highest-ranking administration official named in the files outside the President himself.
The same system that gave Kellen immunity for two decades is now trying to question her about it. The same administration named in the files is the one deciding what gets released.
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lou gehrig benched himself. on may 2 1939, halfway through a season, the iron horse who had played 2,130 games in a row took himself out of the lineup for the simple reason that he was getting too slow at first base. that day was the last he ever played in the major leagues.
gehrig signed with the yankees at 19. he was so broke growing up that he didn't have proper equipment. one $1,500 bonus check later, he was the cleanup hitter behind ruth in the murderers' row lineup.
he hit 23 grand slams. nobody beat that record for 81 years until alex rodriguez did it in 2013.
he was the first american league player to hit four home runs in a single game. june 3 1932 against philadelphia. only 18 players have ever done it.
he played hurt and never told anyone. medical records on him later revealed 17 separate healed fractures in his hands. he never missed a single game for any of them.
what nobody at yankee stadium knew on july 4 1939: gehrig had been examined at the mayo clinic 15 days earlier. the prognosis was als, and it was unforgiving.
his speech that afternoon wasn't fully recorded. only fragments survived in newsreels. what got remembered was the line he closed with: 'today, i consider myself the luckiest man on the face of the earth.'
his uniform number was retired that same afternoon. number 4. it was the first number ever retired in major league baseball history. they invented the practice for him.
he passed 23 months later in his bronx home. june 2 1941. he was 37.
the condition has carried his name for 85 years.
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