Matheus Pagani想教全世界關於AI和Web3

Venture Miner的創始人兼首席執行官認為，可以將兩種最嗡嗡的（且經常被誤解）技術的組合匯集在一起​​，以創建有用的產品和服務。

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.

當我告訴您以使人們能夠獲得清晰圖片的方式描述某些東西時，我的意思是很清楚。就像，如果我要您描述您最喜歡的餅乾，我希望您告訴我它的視線，聲音，氣味，觸摸和味道。那時您可能沒有意識到這一點，但是以這種方式描述某些東西實際上很難。

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.

讓我嘗試描述Venture Miner的創始人兼首席執行官Matheus Pagani。 Matheus是男性，焦糖皮膚和深棕色頭髮。即使他的頭髮緊緊剪了，您也可以說它是捲髮的。他有一個厚的深棕色，幾乎是黑色鬍鬚，它與鬍鬚相連。他的眼睛是薄金屬絲玻璃後面的深棕色。他的下唇遠離他的上唇稍微伸出來，使他保持了保證，但不自大。

Picturing him yet? How confident are you?

想像他嗎？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.

讓我們看看Matheus Pagani的真實外觀。

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?

這是我的描述中想到的嗎？懷疑。每當我告訴你他是巴西人時，您是否用鮮豔的色彩和羽毛頭飾為他配飾？這樣的東西？

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.

如果是這樣，請檢查您的偏見，但您也想像AI一樣。這就是Chatgpt從及時提出的“一些巴西人玩得開心的”。帕加尼（Pagani）在12月初在紐約市的AI2Web3訓練營期間，我們的生物AI（意大利人都坐在長桌子上坐著多代人吃披薩）吐出了這個和其他例子。

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運營的訓練營匯集了59名參與者，以了解如何將兩種最嗡嗡的（通常是誤解）技術匯集在一起​​以創建有用的產品和服務。 Pagani使用了中學作業的版本來解釋AI如何以及為什麼在過去幾年中使我們興奮並處於優勢的重要性。在很大程度上只有文本數據被用於訓練AIS之前，並且正如練習所突出的那樣，這只有如此遠。但是，將文本信息與視覺數據混合在一起，您會得到更完整的圖片。

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.

理解這一點，請同時使用AI和區塊鏈技術來了解其核心組件，這就是訓練營的全部內容。對於Pagani來說，這些技能將與幾乎所有人（工程師，技術用戶，記者，藝術家，醫生，醫生）相關。

“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說：“我們想加入各種背景的聰明頭腦，與AI和Web3一起工作，因為它們的多種觀點的交界可以發現新的用例，而我們永遠不會僅僅使用專門的Web3或AI心態設想， ” Pagani說。 “如今，我們有工具可以輕鬆地使任何非技術愛好者僅使用“普通英語”來構建實際的功能應用程序和系統，因此重要的是使對解決問題感興趣的人與適當的教育一起解決。當您有這種組合時，您只需要點燃比賽即可燃燒即可。”

Mind-Boggling Building

令人難以置信的建築

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.

使這兩種技術的交集如此令人興奮的原因是，您可以在如此短的時間內沒有真正任何以前的技術經驗來建造多少。

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不僅可以使用正確的提示來源代碼庫，而且加密貨幣行業還在建立工具，以幫助在更直觀和更容易訪問的交匯處進行開發。

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，贊助訓練營的Coinbase於11月推出了AgentKit。該框架使開發人員可以用自己的加密錢包構建AI代理，從而使代理可以與區塊鍊網絡自主互動。這可以用來建立一支可以監視市場並根據預定義的規則和護欄自動執行交易的代理商。

“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的副產品經理Lincoln Murr告訴與會者：“有一天，我們將有AI代理自己擁有自己的汽車，並經營自己的出租車服務，該服務由Crypto中的客戶支付，然後使用加密貨幣來購買維修。 ”

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目前正在進行與AgentKit建造的贈款計劃。 “您的構建不必有用；我們對涼爽的東西有偏見。”默爾告訴訓練營，希望激發沒有人想到的項目和應用程序。

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網絡還具有一個有趣的模型，適用於尋求構建AI啟用AI的Web3應用程序的開發人員，反之亦然。該網絡允許開發人員利用當前的大型語言模型，包括Meta的Llama3和穩定的擴散，但它還使開發人員能夠構建自己的模型並提供所謂的初始模型產品（IMO），以促進其持續開發。

“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

“這是一種贏家，現在在AI中，但使用此模型，我們允許人工智能建築和培訓的眾籌，因此人們可以擁有一定的模型，如果我們認為這些模型將會授權十年來經營社會，” Alec James，夥伴關係與成長