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Fusion of Crypto & AI

Updated
3 min read

Background

With the breakthrough of the transformer architecture and GPUs, LLMs emerged. Think of the transformer architecture as the prefrontal cortex of an LLM—it unlocked the processing of natural language (much much faster).

The transformer's core innovation is the "attention" mechanism, which allows the model to dynamically focus on different parts of the input when generating each part of the output, mimicking how humans selectively concentrate on relevant information

GPUs (Graphics Processing Units) provided the computational muscle, offering massive parallel processing power that could handle the complex matrix calculations required by transformer models.

English is the new programming language

Soon, many engineers realized, LLM is performing task on a surface level i.e. it is using system 1 thinking5. How can we improve the AI models to use system 2 thinking5? This led to the development of different techniques to interact with AI. Approaches3 like like zero-shot prompting, few-shot prompting, chain of thoughts, and tree of thoughts emerged. These are technical terms (which I won’t go into depth about here) for techniques we can use to interact with AI agents to produce higher-quality responses.

All of this worked remarkably well—so well that we now have dedicated platforms and tools built around these techniques. Then some smart folks thought: how can we utilize LLMs to also take action on behalf of us? In engineering terms, this is called automation—but automation powered by natural language computation.

Thus, AI agents were "born". But AI agents aren’t something new—we have been using agents for decades without even realizing it. One of the most famous agent is Google search. We type something in the language we are proficient at, and Google search agent does some magic to provide us with relevant links for further research.

Coming to the point

But why the heck are we involving AI agents in crypto? There are many compelling answers2 to this, but the one that motivates me the most is: how can I help people to grow their wealth while they are asleep? I am a big fan of Naval Ravikant’s philosophy, and as he has said multiple times: “Seek wealth, not money or status.”1 This is exactly what AI agents can help us achieve—giving “brains” to our money.

I am going to devote the next decade of my life to learn and build valuable products using AI. My goal is to create something that have a deep, positive impact on people’s daily lives.

What can you expect in the future posts

  1. Deep dive into AI agents and different types of architecture

  2. Rolling up our sleeves and getting hands-on (as Linus Torvalds said, "Talk is cheap. Show me the code.")

  3. "Explain it like I’m five" takes on new and trendy topics

  4. Few surprises here and there

  1. Seek wealth not money or status from Naval Ravikant

  2. Role of crypto in an Agentic Economy from Robbie Peterson

  3. Prompt Engineering Guide

  4. You don't understand AI agents

  5. Thinking Fast and Slow from Daniel Kahneman