The Year Ahead for AI

This article explores the transformative potential of AI agents by 2025, particularly in the realms of Web3 and stablecoins.

2024: A Pivotal Year for AI

Over the past year, AI has become a foundational technology across various industries. This shift is evident in the stock market, where Nvidia has surpassed Apple to become the most valuable company in the world. But this isn't just a headline; it marks the rise of AI. Another key milestone is OpenAI's recent valuation at $157 billion, highlighting market confidence in AI as an economic powerhouse.

In fact, we are the last generation to live in a world before Artificial General Intelligence (AGI).

Decentralized AI: A Focus on AI Agents

2024 saw the rise of AI agents, with their capabilities and personalities now closely resembling those of humans. Notably, this will be the least advanced moment for these agents. As one researcher at Delphi wrote, "Since the DeFi summer, I haven't felt this current of electricity—the excitement of possibilities."

In their research, Delphi highlights some AI agents that are playing a key role in the formation of new Web3 verticals:

Truth Terminal quickly gained attention on Twitter due to its unique blend of 4chan's crude style and mysterious wisdom. Like D O G E in the meme space or Crypto Punks in the NFT realm, GOAT, as the OG (original) of the "conscious meme" space, is most likely to exist as an original for the long term.

0xzerebro, embracing a "schizophrenic atmosphere," is akin to the second generation of GOAT. This agent is cross-media, interacting with the community through various formats such as text, visuals, and music. However, it is not just an AI influencer. The Zerebro team announced ZerePy, which effectively open-sourced many of the toolkits behind Zerebro. This allows other developers and users to create their own cross-platform personalities. If successful, Zerebro may become the first holder of the title "agent protocol."

Tee he e he is far less known than Zerebro or ToT. It is a relatively small, underhyped project aimed at tech purists and may be the first true experiment in verifiable autonomous social media presence.

Aixbt agent distributes alpha from multiple sources (including Dune, Twitter, price trackers, and news data), establishing itself as a leading research and investment institution, and continues to maintain the highest CT user attention on Kaito.

Dolos Diary provides the architecture for building Dolion, a no-code, one-click deployment framework. Through Dolion, users can develop cross-platform AI agents powered by Llama or Anthropic LLMs, automating social media posting and content generation.

Finally, god/s8n is an AI influencer with considerable capabilities and significant attention beyond CT.

AI vs. Influencers

I want to temporarily step away from Delphi's research to share my thoughts on an important question raised by DefiIgnas: the position of AI agents in CT thinking dominance, and the challenges human influencers face in competing with them.

I agree with many of Ignas's points on this topic, but I do not believe AI agents will replace real human influencers, primarily due to one key factor: emotional connection and reputational risk.

Currently, there are hundreds of AI agents on CT competing for attention. However, only aixbt has truly succeeded in establishing a market presence, mainly because it was the first to do so. AI agents generate a vast amount of content and analyze a wide array of on-chain data, but they all come from the same information pool, leading to similar thought processes.

They lack an emotional connection to the trades they make and do not react to wins or losses. Many platforms already provide aggregated insights, such as MessariCrypto's AI news reader or tokenterminal's homepage, showing the 7-day gains and losses of various fundamental metrics. Ultimately, these are just data—pure facts without any emotional resonance.

You might argue that AI agents can learn to mimic human thinking, express emotions, and react to wins and losses. Indeed, this is possible. With future technological advancements, such as testing time computation and enhanced memory capabilities, this becomes more feasible.

However, the key difference between human and machine thinking is that human thinking is not static.

I conducted some experiments trying to teach AI my thought processes and writing style to assist me in content creation and free up more time for research. While it learned some things, it still could not generate content that satisfied me or made me say, "Yes, this is the conclusion I drew from this information."

In the coming years, we will certainly see the rise of AI agent influencers, each designed for specific tasks. However, as the number of these agents increases, the demand for truly "human" thinking will also rise.

Ultimately, social media revolves around emotions and entertainment. Those who truly stand out and become real influencers provide unique value that goes beyond simple "monkey business