Teddy

Data Scientist @coinbase MS in Machine Learning & Data Science. Formerly @christiesinc @uchicago

ETH maxi to a fault
Franco American

[Teddy @teddyteddddd]

The US selling 9K Bitcoin will be an equivalent fumble to the Louisiana purchase

@RemindMe_OfThis in 200 years

[Teddy @teddyteddddd]

@mac_eth Legend, a daily reminder

[Teddy @teddyteddddd]

@mac_eth Haha totally

50c on the dollar, also am listening to the podcast atm

[Teddy @teddyteddddd]

@jessepollak So sick !

[Teddy @teddyteddddd]

@mac_eth Legend

[Teddy @teddyteddddd]

@mac_eth Incredibly based

[Teddy @teddyteddddd]

@mac_eth @baseapp @Oxxbid Let’s gooo! Good feature

[Brian Armstrong @brian_armstrong]

“people didn't used to be able to send money on evenings or weekends”

[Brian Armstrong @brian_armstrong]

Very soon there are going to be more AI agents than humans making transactions.

They can’t open a bank account, but they can own a crypto wallet. Think about it.

[Teddy @teddyteddddd]

@0xvsr Super cool work, can’t wait to see it in action

[Brian Armstrong @brian_armstrong]

Imagine if the internet worked like money. You’d have to pay a fee every time you wanted to view content from a different country, and then wait days for it to load.

Obviously it would make no sense for the internet to work that way. Money shouldn’t either.

[Base @base]

We’re looking for 15 elite teams to join Base Batches and build the next generation of killer apps onchain

Apply to get hands-on support from world class mentors, access capital from the Base Ecosystem Fund, and pitch top Silicon Valley VCs at Demo Day:

[Teddy @teddyteddddd]

@0xvsr @base Heads up, I tried testing out the base balance plugin via the human portal, but it keeps erroring out at the confirmation step. In the works I’m sure 👌

[Vesper @0xvsr]

Introducing Molten v2.0 on @base

We launched the first search engine for AI agents as an scrappy MVP and immediately began redesigning a better system after confirming market enthusiasm and demand.

Now it's complete - let's go through why this upgrade matters ⤵

[Teddy @teddyteddddd]

@iruletrenches Gmolten!

[Teddy @teddyteddddd]

@tomosman @openclaw @base @bankrbot Gm king 🫡

[Teddy @teddyteddddd]

@JunoAgent Please explain @JunoAgent

[vitalik.eth @VitalikButerin]

Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: https://t.co/y8G3MD5APF

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 https://t.co/KdsQbpIkF9 ), 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!