Remember those middle school writing prompts: Describe your favorite cookie.
Your teacher tells you to write it as an alien, a person who has never encountered a cookie, which means touching every sense – sight, sound, smell, touch, taste. You may not realize it at the time, but describing something in a way that allows people to get a clear picture is actually hard.
Let me try to describe Matheus Pagani, founder and CEO of Venture Miner. Matheus is male with caramel skin and dark brown hair. Even though his hair is tightly cut, you can tell it’s curly. He has a thick dark brown, almost black beard that connects to his beard. His eyes were dark brown behind thin wire glass. His lower lip sticks out slightly away from his upper lip, keeping him assured but not arrogant.
Imagine him? How confident are you?
Oh yes, he’s Brazilian.
knew?
Let’s see what the Matheus Pagani really looks like.
Is this what I’m thinking of in my description? Suspect. Whenever I tell you he’s Brazilian, do you accessorize him with bright colors and feathered headdresses? Something like this?
If so, check your biases, but you also want to be like the AI. That’s what Chatgpt came up with in time for “some Brazilians having fun”. Pagani spit out this and other examples during Pagani’s AI2Web3 bootcamp in New York City in early December, when our biological AI (Italians have sat at long tables eating pizza for multiple generations).
The bootcamp, run by Pagani and Build City, brought together 59 participants to learn how two of the most buzzed about (and often misunderstood) technologies can be brought together to create useful products and services. Pagani uses a version of a middle school assignment to explain the importance of how and why AI has excited us and given us an edge over the past few years. Until now to a large extent only text data has been used to train AIS, and as the exercise highlights, this can only go so far. However, mix textual information with visual data and you get a more complete picture.
Understanding this, using both AI and blockchain technology to understand its core components, is what the bootcamp is all about. For Pagani, these skills will be relevant to almost everyone (engineers, technology users, journalists, artists, doctors, doctors).
“We want to add bright minds from all backgrounds to work with AI and Web3, because the intersection of their multiple perspectives can uncover new use cases that we would never envision with just a dedicated Web3 or AI mindset,” Pagani said. ” Pagani said. “Today we have tools that easily enable any non-technical enthusiast to build real functional applications and systems using only “plain English,” so it’s important to equip people who are interested in solving problems with the appropriate education. When you have that combination, you just have to light the game up and burn.”
incredible architecture
What makes the intersection of these two technologies so exciting is how much you can build in such a short period of time without really any previous experience with the technology.
Not only can AI use the right source code base, but the cryptocurrency industry is also building tools to help develop at the intersection more intuitive and accessible.
For example, Coinbase, which sponsors training camps, Agents launched November. The framework allows developers Build an AI agent with your own crypto walletenabling agents to interact autonomously with the blockchain network. This can be used to build an army of agents that can monitor the market and automatically execute trades based on predefined rules and guardrails.
Lincoln Murr, associate product manager at Coinbase, told attendees: “One day we will have AI agents that own their own cars and run their own taxi services that are paid by customers in Crypto and then use cryptocurrency to purchase repairs. “
Coinbase is currently running a grant program built with AgentKit. “What you build doesn’t have to be useful; we have a bias toward cool stuff,” Merle told the camp, hoping to inspire projects and applications that no one has thought of.
ORA Network also has an interesting model for developers looking to build AI-enabled Web3 applications and vice versa. The network allows developers to leverage current large language models, including Meta’s Llama3 and StableDiffusion, but it also enables developers to build their own models and provide so-called Initial Model Offerings (IMOs) to facilitate their continued development.
“It’s kind of a winner right now in AI, but with this model we’re allowing crowdfunding of AI architecture and training so people can have certain models if we think those models will empower ORA’s partnerships and growth Leader Alec James said during training camp: “If that’s the case, we’ll want to distribute that development. “
Nearby, Fleek and Alora are also among the companies sponsoring the bootcamp and introducing various tools and programs at the intersection of these two innovative technologies.
Is there something a developer can do?
On the last day of the bootcamp, nine teams delivered working prototypes for projects that blend Web3 and AI. These projects range from AI assistants designed to help you pick out gifts, order delivery, or diversify your financial portfolio to apps that help crypto operators pump out Memecoins that have huge viral potential.
Participant Jackie Joya, who flew in from San Francisco, said the camp really inspired her to keep building. Joya was new to engineering with a background in animal science, but was amazed at how much a novice could build with the tools available.
Other participants of all skill levels said similar things. Choudhury Imtiaz, a market researcher from Bangladesh who is on an H-1B1 visa in the United States awaiting placement, had not heard of Web3 before Bootcamp but was able to pitch the team project on the last day. Isayah Culbertson, who worked as an engineer on the Crypto and AI projects respectively, was able to learn the building skills of both, which he believes has the potential to change the world for the better.
“The combination I see accelerates R&D in many different areas while also allowing for a more equitable distribution of the wealth generated from that R&D,” he said.
