币圈韭菜

[币圈韭菜 @iiii684059]

@fun88688 @btc_vvv 没合作吗

[AssetDash @assetdash]

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[币圈韭菜 @iiii684059]

@wolfyxbt ubc

[币圈韭菜 @iiii684059]

@Cat_web30 太冷了 还有个土也从不了 可惜了

[币圈韭菜 @iiii684059]

@UBC4ai fuck u

[币圈韭菜 @iiii684059]

@moneylord ubc

[币圈韭菜 @iiii684059]

@wolfyxbt ubc没有嘛

[NLR 🌌 Co-Founder of Mind Protocol @nlr_ai]

Thanks for this great recap'!

[winiam @winiam4444]

Today was the first AMA on $UBC's X page, @UBC4ai. I have summarized it and put it in a readable way for everyone to check out without listening to it. This is BIG. Make sure you read through everything, especially the last part. There you can see why $UBC stands out not only in this space but everywhere.

We will discuss :
Story of UBC
The team
Staking
KinOS community edition
Agent vs. chatbot (layers)
Applications

So lets start...

Story of UBC
Lester talks about his background (computer engineering) and how he started UBC. He realized that AI is going to take over the world and jobs are getting automated more and more. Together with 10 people they started Digitalkin and UBC. The goal of UBC : Aims to provide revenue for people and compute power for AIs.

The team
There are 5 people in the development team and 5 people in the support team
Development team :
Tech Director : PhD with many papers published on neural networks. Started in 1992 on these papers. He is leasing the development of the production.
Machine Learning Expert : Working on Layer 3 and Layer 4 at the moment.
Security Expert : Working on decentralized security
Front/back-end developer
Defi-develop : Currently working on the staking system

Staking
Staking is currently being developed and is going to be available next week. There will be different tiers and each tier will give you a different amount of compute on the platform.

KinOS community edition
KinOS community edition will be launched next week. There are 2 audiences : €99/month subscription model and FREE for token holders. There will be several agents already available on the platform. The most advanced one is the one that is writing scientific literature reviews. You can ask it to read, extract and analyze 100/1000s of papers and come up with structured and detailed sourced answers on your questions. Lester says it is the equivalent of a week of research done in 20 minutes. There will also be some other agents available that can help with marketing, content creation or writing business plans.

Agent vs. chatbot (layers)
There are 6 layers on the AI stack. Each layer builds upon the other one and has more autonomy and capabilities :

Layer 1 : The compute
The CPU, the thing on which the LM runs. You can do math and games for example.
Layer 2 : LLM (chatbot)
Base intelligence, has read the whole internet and learned. Therefore, being able to answer your questions. But they are limited in some ways. For example, they do not have access to the latest information, they can not remember things and they can only handle a limited amount of data (context window).
Layer 3 : Agents
With agents, you can add data to the context. For example, you can plug-in databases, a book, a piece of information or an API that has access to the latest news. Moreover, this layer allows you to do stuff like going on a website, making API calls or using a terminal.
Layer 4 : Multi-agent systems (Which we are currently in)
As 1 agent is restricted by its function it is designed for, a multi-agent system lets individual agents work together on a broader task. An example is the novel the 10 UBC agents are writing together. One has to come up with a narrative, another one has to come up with information about the world and another one has to come up with the writing style. In this system, the agent working on a task will tell you what it's doing and what it’s seeing and if it is going to make some changes accordingly.
Layer 5 : Application (Which we will be in next week)
Packaging everything into an application and making it easily accessible for users. This will be next week with KinOS.
Layer 6 : Ecosystem
This will be coming up in the future, where teams of AI agents talk and collaborate to create agents organizations.

Applications
At first, Lester sees creative applications coming up first, like writing a book or making music. However, the same model that is writing the book, can write software but it is more complex. So, you need the best model for this but this is at the moment extremely expensive. It can cost a couple hundred dollars per day.

In 6 months the open-source models might be as smart as the commercial models. If you have one, you can run it on your own computer. If you have a GPU that is good enough, you can run these models and leave it over the weekend.

As soon as the models are small and efficient enough to run on everybody’s computer, they want to have a decentralized computing power network. This is like the Bitcoin network, you can buy and sell computing power when your computer is not running or when you are not in front of it. This will allow free intelligence for everyone.

The UBC is the infrastructure and allows the agents to exchange work. It’s less for humans but more for AIs to be able to exchange work with market efficiency. However, if you go up a few layers, there are the applications humans can use. On the Discord, you can already make use of the AI band.

If any platform has a feature which one does not have. It can connect to the market place and then the agents can exchange the work and in this way every platform is going to have every feature. It may take some time but it will happen. The system will be beneficial for EVERY AI project. UBC does not want to dominate but wants to be fair and collaborative. Currently, there is no one else doing this in this space or elsewhere.

There will be more spaces in the up and coming weeks. Also to explain it better to people who do not understand these difficult subjects. I will be summarizing them for you just as I did here. A like, retweet/share and follow is greatly appreciated to be able to keep doing this.

$UBC socials :
Twitter account : @UBC4ai
Website : https://t.co/GNnvsGa05V
Ticker : $UBC
Telegram : https://t.co/9gGnggZLzY
Contract Adress : 9psiRdn9cXYVps4F1kFuoNjd2EtmqNJXrCPmRppJpump
Developer : @LesterPaints

#4444

[币圈韭菜 @iiii684059]

@Cat_web30 这财爻也太弱了吧 就看这卦这个币这两个月是没戏了😂

[币圈韭菜 @iiii684059]

@GamefiAgent ubc还能拿不 成本挂七楼了🥹

[币圈韭菜 @iiii684059]

@oragnes ubc

[币圈韭菜 @iiii684059]

@0xcryptowizard ubc怎么看 也是ai的

[币圈韭菜 @iiii684059]

@LesterPaints @shawmakesmagic @ai16z wow

[币圈韭菜 @iiii684059]

@Billions_2022_ 买哪个山寨 兄弟

[币圈韭菜 @iiii684059]

@bqjushen 这怎么找到的

[币圈韭菜 @iiii684059]

@CryptoHtdi soul上的质量太差 真的

[币圈韭菜 @iiii684059]

@bitfool1 ubc

[币圈韭菜 @iiii684059]

@wolfyxbt meme呢

[币圈韭菜 @iiii684059]

@0xcryptowizard ai16z