Suspecting that there are people behind AI agents? The inevitable path from issuing Meme coins to full AI integration.

Who would have thought that this fusion actually started with an AI meme coin called $GOAT?

Translation: Deep Tide TechFlow

Recently, we have witnessed a surge of AI agent tokens and AI meme coins on Crypto Twitter. But this has also raised an important question:

We are living in a strange era—one where we strive to prove something is AI rather than human. Think about it: we spent decades proving we are human through CAPTCHAs and Turing tests, and now we are doing the exact opposite.

As more and more AI agents emerge every day, we begin to question, “Wait, is this really AI or is someone pretending?” This reversal of the situation is both ironic and fascinating, especially as these AI agents become more integrated into our daily digital lives.

We also noticed that Apple has adopted a blockchain technology to enhance the transparency of its Apple Intelligence.

What is an AI Agent?

In simple terms, an AI agent refers to artificial intelligence that possesses tools and reasoning capabilities. In the cryptocurrency space, these agents may be able to access tweets, posts, and even have crypto wallets to perform on-chain transactions.

It all started with the ReAct paper, which demonstrated that AI can handle complex tasks when equipped with the right tools. Subsequently, the emergence of Langchain made these tools more accessible to engineers, leading to the rapid proliferation of AI agent tools.

Image: ReAct Prompting

What makes AI agents unique is that they possess the following capabilities:

Reasoning in specific contexts
Formulating action plans
Executing actions using existing tools
Adjusting based on results

Practical applications like Virtual's Luna's terminal (https://terminal.virtuals.io/) showcase these functionalities, allowing users to observe the reasoning and decision-making processes of the agents in real-time.

The Development Journey of AI Agents

Achieving truly transparent AI agents requires following these steps:

Open-source code
Open data
Decentralized reasoning
Autonomous AI agents

I believe that the current state of AI agent development has reached at most stage 3: open reasoning.

Stage 0: "Please trust me, I am AI"

Currently, most AI agent projects are still at this stage. Users interact with systems claiming to be AI agents but cannot verify:

Whether the responses stem from genuine AI reasoning
The actual decision-making process
Whether there is human intervention

This leads to the "black box" problem, where users can only accept the claims of AI capabilities based on trust.

Stage 1: Open-source Code

Open-sourcing AI agent code is a crucial step in establishing transparency and trust.

By opening the code, developers can review and contribute to the project, fostering collaboration and innovation.

Stage 2: Open Data

Example 1:Virtual's Terminal

Example 2: Using Chromia to log large language model data on-chain

Simply open-sourcing the code is not enough; we also need to ensure that the "thinking" process of the agents is transparent.

This critical stage introduces transparency in the agents' thought processes and decision-making. Projects at this stage typically:

Open their training data
Provide access to agent reasoning logs
Allow external audits and verifications

Stage 3: Decentralized Reasoning

Having open data alone is not sufficient to ensure genuine large language model reasoning. Decentralized reasoning addresses this issue by:

Using zkML/opML to verify model execution
Providing a transparent and auditable reasoning process
Allowing community verification

Stage 4: Decentralized AI Operating System

The ultimate vision is to have autonomous AI agents operating within a transparent ecosystem. This includes:

Independent runtimes or operating systems
Encrypted wallets for agents
Autonomous decision-making capabilities
Comprehensive observability of resource management
Auditable decision paths

As AI's capabilities and autonomy continue to grow, this transparency becomes increasingly important, enabling us to understand and verify their behavior at all levels. The market is still exploring how to achieve this goal.

Ongoing Progress

We have just begun, but some remarkable projects have already emerged:

$GOAT: Building an AI meme culture community
$LUNA: Creating AI agents on the blockchain
$GMIKA: Personalized AI companions
$CAI: Running a decentralized AI network through opML
$AI16Z: A DAO for AI funds

Conclusion

Image Source

We are at the beginning of a significant transformation. While Vitalik's article perfectly depicts the synergy between crypto technology and AI, who would have thought that this fusion actually started with an AI meme coin called $GOAT? This unexpected beginning showcases how unpredictable and vibrant the future of Crypto x AI is.

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