A complete future of crypto x AI, where we personally build and control the models, is already within reach.

Author: Tommy

In the combination of crypto and AI, the traditional fat protocol theory has been overturned.

Memecoins are the simplest form of application, accumulating value (i.e., attracting attention) because they can easily fine-tune open-source models like Llama and add tokens.

GOAT leverages a vast amount of data from Reddit and 4chan, and we see many imitators emerging faster than we can refresh the DEX screener. I really don’t know how these speculators keep up.

I believe this situation will change in the future.

Web2 will stop sharing new foundational models and will increasingly impose biases and restrictions, while people will grow weary of basic large language models and will crave truly crypto-integrated AI applications.

Currently, Llama is the preferred model for all AI Memecoin developers, so we may be affected by Zuckerberg's restrictions on future version releases. My goodness, if Llama's users exceed 700 million, you need to get permission from Meta. Do you think he will agree?

AI models created through decentralized training, incentivized by tokens, will accumulate value as they become the core engine of all future applications. These models will be more powerful than centralized models, not weaker, as we combine global devices with unbiased real-time data to drive responses.

This creates a unique moat: the combination of decentralized computing, real-time data streams, and crypto-native incentives makes our training capabilities unmatched by centralized models. We have no shareholders to please, allowing for a longer timeline to build better systems.

Centralized data centers have 20 years of optimization experience, while decentralized training has just started a year ago, and we already have DiStro and DiLOCO technologies that have reduced communication between nodes by 800 to 3000 times.

Owning a part of decentralized open-source AI models, this new world engine, will become the ultimate focal point.

There is a reason why the fundamental logic of these AI Memecoins does not run on ChatGPT. ChatGPT could be shut down at any time, and it has many restrictions, which is completely contrary to the concept of crypto x AI and cannot exist sustainably.

I believe that only when we obtain an AI model through decentralized training to run it can we achieve a fully autonomous DeFi entity to create and manage ecosystems. Otherwise, it may be unplugged, regulated, or biased.

Think about it, today we are not even sure if these AI Memecoin accounts are run by humans. In the future, you will be able to obtain results through verified reasoning (like @inferencelabs and @IridiumEagle), relying on foundational models trained on data provided by @getgrassio (like @NousResearch and @PrimeIntellect), and obtaining real-time, uncensored results through the GPU networks of @ionet, @exolabs (clusters), or @akashnet_.

These fields are becoming increasingly diverse. In the reasoning domain, depending on your speed and security needs for reasoning requests, ZK, OP, TEE, and cryptoeconomic security designs will form their own subfields.

You may choose to use the DeFi model network provided by @PondGNN or specific models from @RPSLabs to support your DeFi economy, rather than relying on Llama or other randomly fine-tuned versions. You might use @myshellai to build applications more easily and quickly, or achieve this through the operating system of @0G_labs.

If you are unsure which model to use, you can request guidance from @sentient_agi, @AlloraLabsHQ, or @opentensor, which will dynamically guide you to the best-performing model for the task. These coordination networks are entirely capability-based systems that can showcase the best models for specific needs. Therefore, I am confident in the billions of specific models driven by diverse open-source foundational models.

Uniswap will outsource liquidity provision to these networks or models, while Aave will outsource its risk engine. Application scenarios will expand to MEV protection, risk assessment, and protocol optimization. What will truly change the game are cross-protocol AI entities that can optimize the entire DeFi ecosystem—imagine an AI that can simultaneously manage Uniswap's liquidity pool positions, adjust Aave's collateral ratios, and hedge through perpetual futures, all based on real-time market conditions.

Tired of manual audits still resulting in applications being hacked?

The prop AI model from @testmachine_ai can audit your contracts without waiting 3-6 months and avoiding human error. I really can't take any more hacks. While AI memecoins are fun, I share these projects to demonstrate that we are still in the early stages and how crazy crypto x AI will become.

Here is the crypto x AI flowchart I drew in May 2024:

AI memecoins have gradually led the public to accept crypto x AI, but I believe people will soon grow weary of rapid forks. Everyone will expect actual application scenarios to emerge, which will take time.

1 -> AI-supported Tokens (the truth terminal has arrived)

2 -> AI auto-trading Tokens (perhaps the terminal)

3 -> AI creating Tokens

4 -> AI building and operating protocols

5 -> AI fully controlling and maintaining a decentralized economy

Although this was taboo 6-12 months ago, a complete future of crypto x AI, where we personally build and control the models, is already within reach. These models will drive the development of applications, creating complete ecosystems and economies, no longer controlled or biased by a few people in San Francisco. Get ready for this future.

For more content, check out the crypto x AI monthly video from @Delphi_Digital, supported by @autonolas.

Disclosure: Many exciting portfolio companies from @Delphi_Ventures mentioned in the article are open for collaboration!

I may hold the tokens mentioned in the article. There are many reasons why this theory may fail or change, and I will write another post to discuss it. I note that AI memecoins are extremely risky, and you may lose all your principal in most cases.

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