Matheus Pagani想教全世界关于AI和Web3

Venture Miner的创始人兼首席执行官认为，可以将两种最嗡嗡的（且经常被误解）技术的组合汇集在一起​​，以创建有用的产品和服务。

When I tell you to describe something in a way that allows people to get a clear picture, I mean really clear. Like, if I were to ask you to describe your favorite cookie, I want you to tell me about its sight, sound, smell, touch and taste. You might not realize it then, but describing something in this way is actually quite hard.

当我告诉您以使人们能够获得清晰图片的方式描述某些东西时，我的意思是很清楚。就像，如果我要您描述您最喜欢的饼干，我希望您告诉我它的视线，声音，气味，触摸和味道。那时您可能没有意识到这一点，但是以这种方式描述某些东西实际上很难。

Let me try to describe Matheus Pagani, founder and CEO of Venture Miner. Matheus is a male with light caramel skin and dark brown hair. Even though his hair is cut close, you can tell it’s curly. He’s got a thick dark brown, almost black beard, which connects to a mustache. His eyes are dark brown behind thin wire glasses. His bottom lip sticks out a little further from his top lip, giving him a look of assurance, but not arrogance.

让我尝试描述Venture Miner的创始人兼首席执行官Matheus Pagani。 Matheus是男性，焦糖皮肤和深棕色头发。即使他的头发紧紧剪了，您也可以说它是卷发的。他有一个厚的深棕色，几乎是黑色胡须，它与胡须相连。他的眼睛是薄金属丝玻璃后面的深棕色。他的下唇远离他的上唇稍微伸出来，使他保持了保证，但不自大。

Picturing him yet? How confident are you?

想象他吗？你有多自信？

Oh yeah, and he’s Brazilian.

哦，是的，他是巴西人。

Got it?

知道了？

Let’s see what Matheus Pagani actually looks like.

让我们看看Matheus Pagani的真实外观。

Is this what you had come up with in your head from my description? Doubt it. Whenever I told you he was Brazilian, did you accessorize him in bright colors and a feathered headdress? Something like this?

这是我的描述中想到的吗？怀疑。每当我告诉你他是巴西人时，您是否用鲜艳的色彩和羽毛头饰为他配饰？这样的东西？

If so, check your bias, but also you’re thinking like an AI. That was what ChatGPT came up with from the prompt “some Brazilians having fun.” Pagani showed this and other examples spit out by our generative AI (Italians have fun by sitting around long tables with multiple generations eating pizza) during the AI2Web3 Bootcamp in NYC in early December.

如果是这样，请检查您的偏见，但您也想像AI一样。这就是Chatgpt从及时提出的“一些巴西人玩得开心的”。帕加尼（Pagani）在12月初在纽约市的AI2Web3训练营期间，我们的生物AI（意大利人都坐在长桌子上坐着多代人吃披萨）吐出了这个和其他例子。

The bootcamp, run by Pagani and Build City, brought together 59 participants across all skill levels to learn how the two buzziest (and often misunderstood) technologies can be brought together to create useful products and services. Pagani used a version of the middle-school assignment to explain how and why AI made the significant leaps that have kept us all excited and on edge over the past few years. Before there was largely only text data being used to train AIs, and as the exercise highlights, that only goes so far. But mix text information with visual data, and you get a fuller picture.

由Pagani和Build City运营的训练营汇集了59名参与者，以了解如何将两种最嗡嗡的（通常是误解）技术汇集在一起​​以创建有用的产品和服务。 Pagani使用了中学作业的版本来解释AI如何以及为什么在过去几年中使我们兴奋并处于优势的重要性。在很大程度上只有文本数据被用于训练AIS之前，并且正如练习所突出的那样，这只有如此远。但是，将文本信息与视觉数据混合在一起，您会得到更完整的图片。

And understanding this, getting hands on with both AI and blockchain technology to understand its core components is what the bootcamp was all about. For Pagani, these skills are going to be relevant for nearly all people – engineers, tech users, journalists, artists, doctors – real soon.

理解这一点，请同时使用AI和区块链技术来了解其核心组件，这就是训练营的全部内容。对于Pagani来说，这些技能将与几乎所有人（工程师，技术用户，记者，艺术家，医生，医生）相关。

“We want to join brilliant minds from all backgrounds to come and work with AI and Web3, since the junction of their multiple perspectives can uncover new use cases that we would never envision just with a specialized Web3 or AI mindset alone,” Pagani said. “Nowadays we have tools to easily enable any non-technical enthusiasts to build practically functional applications and systems just with "plain English," so what matters is bringing passionate people interested in solving problems together with the proper education. When you have this combination, you just need to light the match and watch it burn.”

Pagani说：“我们想加入各种背景的聪明头脑，与AI和Web3一起工作，因为它们的多种观点的交界可以发现新的用例，而我们永远不会仅仅使用专门的Web3或AI心态设想，” Pagani说。 “如今，我们有工具可以轻松地使任何非技术爱好者仅使用“普通英语”来构建实际的功能应用程序和系统，因此重要的是使对解决问题感兴趣的人与适当的教育一起解决。当您有这种组合时，您只需要点燃比赛即可燃烧即可。”

Mind-Boggling Building

令人难以置信的建筑

What makes the intersection of these two technologies so exciting is just how much you can build in such a short amount of time without really any prior technical experience.

使这两种技术的交集如此令人兴奋的原因是，您可以在如此短的时间内没有真正任何以前的技术经验来建造多少。

Not only will AI source whole codebases with the right prompt, but the crypto industry is also building tools to help make developing at the intersection of both more intuitive and accessible.

AI不仅可以使用正确的提示来源代码库，而且加密货币行业还在建立工具，以帮助在更直观和更容易访问的交汇处进行开发。

For instance, Coinbase, who sponsored the bootcamp, launched AgentKit in November. The framework allows developers to build AI agents with their own crypto wallets, enabling the agents to interact autonomously with blockchain networks. This could be used to build a squad of agents that can monitor the markets and execute trades automatically based on predefined rules and guardrails.

例如，赞助训练营的Coinbase于11月推出了AgentKit。该框架使开发人员可以用自己的加密钱包构建AI代理，从而使代理可以与区块链网络自主互动。这可以用来建立一支可以监视市场并根据预定义的规则和护栏自动执行交易的代理商。

“One day, we’ll have AI agents own their own cars and operate their own taxi service that gets paid by customers in crypto and then uses that crypto to purchase repairs,” Lincoln Murr, associate product manager at Coinbase, told the attendees.

Coinbase的副产品经理Lincoln Murr告诉与会者：“有一天，我们将有AI代理自己拥有自己的汽车，并经营自己的出租车服务，该服务由Crypto中的客户支付，然后使用加密货币来购买维修。”

Coinbase currently has a grants program ongoing for building with AgentKit. “What you build doesn’t have to be useful; we have a bias towards cool stuff,” Murr told the bootcamp, hoping to inspire projects and applications that no one has yet thought of.

Coinbase目前正在进行与AgentKit建造的赠款计划。 “您的构建不必有用；我们对凉爽的东西有偏见。”默尔告诉训练营，希望激发没有人想到的项目和应用程序。

Ora Network also has an interesting model for developers looking to build AI-enabled Web3 applications or vice versa. The network allows developers to utilize current large language models, including Meta’s Llama3 and Stable Diffusion, but it also enables developers to build their own models and offer a so-called initial model offering (IMO) to crowdfund its continued development.

ORA网络还具有一个有趣的模型，适用于寻求构建AI启用AI的Web3应用程序的开发人员，反之亦然。该网络允许开发人员利用当前的大型语言模型，包括Meta的Llama3和稳定的扩散，但它还使开发人员能够构建自己的模型并提供所谓的初始模型产品（IMO），以促进其持续开发。

“It’s kind of winner-takes-all right now in AI, but with this model, we’re allowing the crowdfunding of AI building and training, so people can have a share of the models, which is empowering if we think these models will run society in a decade,” Alec James, partnerships and growth

“这是一种赢家，现在在AI中，但使用此模型，我们允许人工智能建筑和培训的众筹，因此人们可以拥有一定的模型，如果我们认为这些模型将会授权十年来经营社会，” Alec James，伙伴关系与成长