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Oct 19 β€’ 1 tweets β€’ 4 min read β€’ Read on X
On Crypto x AI Value Accrual, AI Memecoins, and The Future πŸ€–

The Fat protocol thesis is reversed with Crypto x AI.

Memecoins, the simplest form of apps, are accruing value (attention) since it's easy to fine tune an open source model like Llama and add a token.

GOAT did this with mass amount of reddit/4chan data, and we're seeing many copies come out faster than we can refresh DEX screener. I have no idea how you degens keep up.

In the future, I think this reverses

Web2 will stop sharing new foundational models and increasingly bias and limit them + people will get tired of basic LLMs, they will want real AI apps intertwined with Crypto.

Right now Llama is the model of choice for all AI memecoin developers so we are at the whim of Zuckerberg cutting off future releases. Hell if you go over 700M users with Llama you need Meta's permission. What do you think he's gunna say?

AI models created by decentralized training, bootstrapped by token incentives, will accrue value as they become the engine for all future applications. These models will be more powerful than centralized models, not less, as we cluster the world's devices married with unbiased live data to power responses.

This creates a unique moat: the combination of decentralized compute, real-time data feeds, and crypto-native incentives enables training capabilities that centralized models simply cannot match. We don't have shareholders to appease, we have longer timelines to build better systems.

Centralized data centers have had 20 years to optimize, decentralized training is a year old and we already have DiStro and DiLOCO to reduce communication between nodes by 800-3000x

Owning a piece of a decentralized open source AI model, a new world engine, will be the ultimate Schelling point.

There's a reason these AI memecoin's basic logic are not being run on ChatGPT, it can be turned off at any moment and is highly restricted, a polar opposite ethos of Crypto x AI and not everlasting.

I don't think we get fully sentient, autonomous DeFi agents that are creating and managing ecosystems until we get an AI model via decentralized training to run it, if not, it can be unplugged, regulated away or biased.

Think about it, today we're unsure if humans are running these AI memecoin accounts. In the future you'll have verified inference (@inference_labs, @IridiumEagle) of results pinging foundational models (@NousResearch, @PrimeIntellect) that are trained with data by @getgrass_io, and to pull live/uncensored results, on network of GPUs by @ionet, @exolabs (clustering), or @akashnet_

These sectors get diverse, within inference there will be entire sub sectors between ZK, OP, TEE and Cryptoeconomic security designs depending on the speed/security you need your inference request.

Maybe you'll also be using a network of DeFi models by @PondGNN or a specific one by @RPS_Labs to power part of your DeFi economy instead of Llama or some random guys fine tuned version. Maybe you'll use @myshell_ai to build the application much more easily and faster or via @0G_labs operating system.

Unsure which model to use? Maybe you'll go to @sentient_agi or @AlloraLabsHQ or @opentensor to ask a request and be dynamically routed to the highest performant model for a task. These coordination networks are a full meritocracy surfacing the best models for a specific ask. Hence why I'm bullish on billions of specific models, powered by a diverse set of open source foundational models.

Uniswap will outsource liquidity provision to these networks or models and Aave will outsource its risk engine. Use cases will expand to MEV protection, risk assessment, or protocol optimization. The game-changer will be cross-protocol AI agents that optimize across the entire DeFi stack - imagine an AI that simultaneously manages Uniswap LP positions while adjusting Aave collateral ratios and hedging via perpetual futures, all based on real-time market conditions.

Tired of hacks after manual audits for your app? @testmachine_ai’s prop AI model will audit your contract without 3-6 months and human errors. I simply can't handle more hacks.

While AI memecoins are cool, I share these projects to show just how early we are and how insane Crypto x AI will become.

My Crypto x AI Flowchart from May, 2024

AI memecoins positively normalized Crypto x AI for the masses, but I think people will get tired of fast forks pretty soon. People will expect use cases and they will take time.

1 -> AI endorses tokens (Terminal of Truth is here)
2 -> AI autonomously trades tokens (Maybe TERMINAL)
3 -> AI creates tokens
4 -> AI builds and operates protocols
5 -> AI fully controls and sustains decentralized economies

While it was taboo 6-12 months ago, a full Crypto x AI future where we build and own the models, which power applications that create full ecosystems and economies with no bias or control by a few people in San Francisco is upon us. Strap in.

For content check out @Delphi_Digital's Crypto x AI Month Video Content powered by @autonolas

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Disclosure: Many exciting @Delphi_Ventures port cos mentioned - get in touch with them to build!

I may own tokens mentioned. There is a whole laundry list of reasons this thesis could fail or change, and I'll have to do a separate thread on that. I note AI memecoins are extremely risky and you'll probably lose your entire stake in most.Image

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More from @Shaughnessy119

May 9
Crypto x AI Flowchart

I wanted to share my mental model of the Crypto x AI landscape

Long term I think Crypto x AI wins because the most powerful technology of our generation can be owned, governed and iterated by an incentivized global community vs a centralized black box Image
Danger of Centralized AI's effects on millions of applications reaching billions of users. Image
Extremely simplified Crypto x AI Stack Image
Read 5 tweets
Dec 29, 2023
Just read @Delphi_Digital's The Year Ahead for Infrastructure 2024 report

It's by far the most comprehensive crypto infrastructure read and I feel way smarter having read it

Phenomenal work @CannnGurel, @ceterispar1bus, @yusufxzy and @markodayan

A few of my fav takeaways 🧡
1/ L2 competition will accelerate

Historically L2s have been friendly frens. Not anymore anon

Moving forward the authors expect L2s to silo more and favor bridging within their own ecosystems vs other external L2s

I like heightened competition we need it to push the boundaries Image
2/ EIP-4844 for Ethereum

An incredible graphic showing how EIP 4844 will expand base layer throughput on Ethereum to 150-300 TPS

This is still too low and will push projects toward ETH with an alt data availability layer ( @CelestiaOrg, @eigenlayer, Avail) to drive 1000s of TPS Image
Read 22 tweets
Nov 26, 2023
How I avoided Sinus Surgery using Google Bard πŸ₯ΌπŸ₯

I thought this was an interesting use of AI, so sharing the quick story below

TLDR - Bard found and summarized research studies to give me accurate info to make a decision - in a few hours of searching.
I've struggled with Allergies and sinus infections my whole life. I had allergy shots as a kid, and then sinus surgery (Balloon sinulpasty where they insert and inflate a balloon to expand your sinuses)

Recently I've been getting sinus infections again, so back to the ENT
The ENT was for another Balloon Sinuplasty (~$20k to them), but this didn't make sense to me as structurally my sinuses were already expanded

My gut take was to treat the underlying cause (allergies) more aggressively instead, but I needed more info

-> To Google's Bard I go
Read 13 tweets
Nov 6, 2023
I love hosting @cburniske because he has so much alpha to share on life and the psychology of investing 🧠

We cover Placeholder's $SOL thesis in detail

A few of my favorite takeaways from episode 387 below 🎧

Apple:
Spotify: tinyurl.com/Burniske1
tinyurl.com/Burniske
Image
1/ Despite its long history and large AUM, @placeholdervc has only 6 full time people.

They aren't trying to boil the ocean providing every service and are aggressive in limiting operations overheads and distractions

The focus is on thought and relationships
2/ In my opinion, Chris's superpower is his ability to intimately get to know founders over long periods of time

He doesn't invest after a week of knowing someone or rushes to close

He builds real conviction over time to help founders in good and bad times
Read 7 tweets
Oct 6, 2023
Great counter post against tons of rollups

IF app-specific rollups are too costly and don't offer necessary technical customization most developers will launch on a shared rollup

This has me thinking on my views on Ethereum Rollups vs App chains with Cosmos vs Solana πŸ’­

🧡1/24
My mental model on competing ecosystems is simple - the easiest and largest place to deploy will house the most viral applications

Why? This community is open to the highest rate of experimentation which offers the highest chance of viral applications

Had this view since 2019 Image
Having to deploy your own chain or rollup drastically reduces the rate of experimentation since you have to handle the infrastructure and the application.

That said, for some devs, custom changes to run a performant application are necessary. You can't run them on a shared L1
Read 25 tweets
May 28, 2023
Stephen Wolfram of Wolfram Alpha wrote the absolute best post on ChatGPT and Large Language Models.

It took me about two hours to read, but significantly increased my understanding of what's going on under the hood of ChatGPT.

A few of my favorite takeaways (helps my process) Image
The goal of a large language model is to reasonably continue the text it already has

ChatGPT's LLM estimates these probabilities

Temperature is a parameter that determines how often lower ranked words are used, adding randomness.

LLM's are trained on vast amounts of human text ImageImage
Where to these probabilities come from?

ChatGPT is a model that lets people estimate the probabilities which sequences of words should occur.

Stephen adds an interesting walk through demonstrating the probability of how often letters occur, and then pairs of letters and beyond Image
Read 22 tweets

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