Remember the central-school writing signals: Describe your favorite cookie.
Your teacher has told you to write it as if it were to a foreigner, a person who had never encountered a cookie before, which means touching every sense – sight, sound, smell, touch, taste. You may not have realized it before, but describing something in a way that allows people to get a clear picture is really difficult.
I try to describe Matheus Pagani, founder and CEO of Venture Miner. Matheus was a man with light caramel skin and dark brown hair. Even if her hair is cut, you can say it is curly. He got a thick dark brown, almost black beard, connecting a mustache. His eyes were dark brown behind the thin glass of wire. Her bottom lip clings a little further from her top lip, giving her a look of certainty, but not pride.
Still describing him? How confident are you?
Oh yes, and he’s Brazilian.
Got it?
Let’s see what Matheus Pagani really looks like.
Did it go to your head from my description? Doubt it. Whenever I told you he was Brazilian, did you access him in bright colors and a feathered headdress? Something like this?
If so, check your bias, but you also think like an AI. That’s what ChatGPT got from the immediate “some -fun -fun.” Pagani showed it and other examples to spit through our generative AI (Italians are happy by sitting around long tables with many generations eating pizza) during the AI2Web3 bootcamp to NYC in early December.
Bootcamp, managed by Pagani and Build City, combined 59 participants at all skill levels to learn how two buzziest (and frequent misunderstandings) technologies to create varied -benefits products and services. Pagani used a version of the central-school assignment to explain how and why AI has made significant leaps that keep us all excited and on the side of the past few years. Before there was only text data used to train AIs, and as exercise highlights, it only goes. But mix text information in visual data, and you get a fuller picture.
And understanding it, getting hands on both AI and Blockchain technology to understand its key ingredients is what the bootcamp is about. For Pagani, these skills will be relevant for almost everyone – engineers, tech users, journalists, artists, doctors – really soon.
“We would like to join the brilliant thinking from all backgrounds to come and work with AI and Web3, as the junction of their many views can discover new cases we can never imagine just a specialized Web3 or Ai Mindset only, “Pagani said. “So far we have tools to easily enable any technical enthusiasts to develop practical applications and systems only in” Plain English, “so what matters is that bringing passionate people interested in solving problems Includes proper education.
Boggling Building thinking
What makes the intersection of these two technologies so excitement is how much you develop in a short time without a preceding technical experience.
Not only is AI’s resource the entire codebases with the right prompt, but the crypto industry also builds tools to help develop the intersection of both more easily understood and accessible.
For example, Coinbase, who sponsored the bootcamp, The agentkit was launched in November. The plot allows developers To form AI agents with their own crypto dominantenabling agents that mix autonomously on blockchain networks. It can be used to produce a squad of agents that can monitor markets and automatically carry out trading based on predetermined policies and guards.
“One day, we will have AI agents who own their own cars and run their own taxi service that customers pay in crypto and then use that crypto to buy repair, “Lincoln Murr, Associate Product Manager at Coinbase, told the attendees.
Coinbase currently has a provision program that continues for the development with the agentkit. “What you are building does not have to be useful; we have a bias towards cool things,” Murr told Bootcamp, hoping to inspire projects and applications that have never been thought.
The ORA Network also has an interesting model for developers looking to generate web3 applications enabled by AI or vice versa. The network allows developers to use current large language models, including llama3 of meta and stable diffusion, but it also allows developers to develop their own models and offer a so-called initial model Offering (IMO) to slip its continued development.
“It’s kind of a winner-all now in AI, but in this model, we allow crowdfunding of AI Building and Training, so that people can have a part of the models, which empowers if we think These models run society for a decade, “Alec James, partnerships and growth leads in Ora, said during the bootcamp. “If that is the case, we would like to distribute that development.”
Nearby, Fleek and Alora are also among the companies that sponsored the bootcamp and displayed their various tools and programs for developing the intersection of two innovative technologies.
Is there anything that Devs can do?
On the last day of Bootcamp, nine teams showed working prototyps for projects that mixed Web3 and AI. These projects are from AIs assistants which means to help you choose gifts, order delivery or vary -your financial portfolio varies with applications to help crypto operators pump Memecoins with great potential virality.
Jackie Joya, a participant who flew from San Francisco, said Bootcamp has really inspired her to continue to build. With a background in animal science, Joya was still new to engineering, but was amazed at how much a beginner could form with the tools available.
Other participants, at all skill levels, said similar things. Choudhury Imtiaz, a market researcher from Bangladesh, who is in the US on an H-1B1 visa waiting for a placement, was not heard of Web3 before the bootcamp, but was able to pitch a team project on the last day . And Isayah Culbertson, who worked as an engineer for both Crypto and AI projects separately, learned the skills for developing the same, which she thinks has the potential to change the world for the better.
“I see a combination that facilitates the research and development of so many different fields, while also allowing a more equal distribution of wealth generated from R&D,” he said.
