Is AI being free really good? In fact, you might have been getting harvested all along.
Many people say one thing: 👉 "AI is very useful and it's free, isn't that great?" On the surface, it seems fine, But if you think about it carefully, things are not that simple. Because AI does not become stronger out of thin air. The reason it can improve is that— 👉 Data provided by users 👉 Every input and interaction 👉 Long-term accumulated behavioral data These things are all helping AI to continuously optimize. In other words: 👉 You are actually part of AI's growth. But here comes the problem. When AI creates immense value,
Sprint to 30K, keep pushing forward! Let's hit 30K, Keeping forward‼️ Reach 30K to share a reward of 16888, keep it coming! Follow, comment, and share to split a $16888 reward pool! 🧧🧧🧧🧧🧧🧧
When you stop moving forward, it means you're going backward! Therefore, strive for progress while maintaining stability and never give up!🚴♂️🚴♂️🚴♂️
Spend more time with your family and relax well.👩👨👨👧👨👩👧👩👦👦 Put everything aside for a while, and spend more time with the ones you love the most, this is what the New Year should look like~ #Trump delivers State of the Union address
【The next phase of AI is not about being stronger, but about 'Who takes the value'】
AI has exploded in recent years and has almost become a consensus. But a very critical change is happening in the market: 👉 Discussion focus, starting with 'Is the technology strong?' 👉 Turning to 'How should value be distributed' Why? Because more and more people are realizing— The value of AI is actually built on users. Your data Your behavior Your input All of it is helping AI become stronger. But what about the returns? 👉 Focused on a few companies 👉 Users hardly get any returns This model can work in the early stages of AI, But after large-scale application, the problems become more and more obvious.
【You feed AI every day, but do you get any return?】
Today's AI looks very impressive. But there is a problem that few are willing to face: 👉 You have actually been helping others make money. The content you input The data you provide Your usage behavior All of it is being used to train AI models. But what about the final returns? 👉 Not in your hands 👉 Not in the user's hands 👉 But in the platform's hands This is the most realistic problem of traditional AI. Users are free labor, But the value is completely extracted. What @fabric wants to do is to turn this around. Through blockchain, make AI a 'participatory economic system.'
Do you really know? The current blockchain has no privacy, in fact.
Many people think they are using 'decentralization', But in reality, you are just being exposed in a different way. On most blockchains—— Your assets, transaction records, and behavior are all public and transparent. Does it sound safe? But if placed in the real world, could you accept that? 👉 Bank account is public 👉 Every purchase is visible to everyone 👉 Assets have no privacy at all This is not the future; this is the present. This is also why more and more people are beginning to question: Is blockchain really ready for large-scale application?
Who is taking the value of AI? @fabric is rewriting the rules.
In recent years, AI has developed very quickly. From generative models to automated decision-making, it has almost changed all industries. But few people notice one thing: 👉 The value of AI is actually highly concentrated in the hands of a few companies. Your data is used to train models. Your actions are converted into commercial value. But you, however, receive no return. This is the core problem of traditional AI. The user is a contributor, but not a beneficiary. And what @fabric wants to do is fundamentally change this structure. Through blockchain, Fabric makes AI 'on-chain'. Making the entire AI system open, transparent, and profit-sharing.
Is ZK changing the world? @zerobase may be the key piece.
If you have been following blockchain, you must have noticed a problem: Current chains, although secure and transparent, have almost no privacy. Every transaction, asset, and action of yours is public. This may have been an advantage in the early days, but it has become the biggest obstacle in large-scale applications. That's why ZK (Zero-Knowledge Proof) has started to gain attention in the market. And @zerobase is precisely building the next generation of computing infrastructure in this crucial race. The core logic of ZK is—— 👉 No need to disclose information, yet it can prove that things are real.
ZEROBASE never holds lotteries for gifts to brothers, no need to download an app, no need to follow, like, or retweet.
We were not aware of this event in advance. We have now requested the Binance team to change the rewards of this event to be shared by all participating users.
If this is difficult to achieve, we will distribute physical gifts to all users who wish to receive gifts according to ZEROBASE's gift-giving tradition.
Recently, I've been looking at the project @fabric, which has a rather rare positioning—not merely doing DeFi, nor a traditional public chain, but focusing on a 'collaboration network for robots and AI'. In simple terms, $ROBO what we want to build is an infrastructure that allows machines, AI, and even different systems to collaborate on the chain. If this concept is placed in the present, it actually coincides with a very important moment. AI is developing rapidly, but most applications are still at the 'software layer'. The real next step is to enable AI to connect with the real world—that is, robots, automated devices, and even various hardware systems.
#robo $ROBO Recently saw @fabric's event and found this direction quite interesting.
$ROBO Focuses on robotic networks + decentralized collaboration, simply put, it allows AI and machines to interact and operate on the blockchain.
If in the future AI is not just software, but combined with physical devices, then this kind of infrastructure may have a lot of imaginative possibilities.
【What is Zerobase doing? Looking at its potential opportunities from ZK + AI】
Recently, I was looking at the project @zerobase, and what attracted me at first glance was not the price or popularity, but its positioning: a decentralized computing platform that combines zero-knowledge proofs (ZK) and trusted hardware. This direction actually addresses a rapidly growing demand—data privacy and verifiable computing. With the development of AI, the importance of data is becoming increasingly high, but it also brings a problem: How can we ensure that data is safe, trustworthy, and not misused when it is being used? $ZBT What I want to solve is actually this problem. Through ZK technology, verification can be completed without exposing the data itself; combined with trusted hardware, it provides higher security for the entire computing process. If this combination is truly realized, the application scenarios are not only in DeFi but also include identity verification, AI training, and even data markets.
#zerobase $ZBT Recently saw @zerobase's event and found that this project's direction is actually quite special.
$ZBT Focuses on decentralized computing, combining ZK privacy and trusted hardware, which actually has a lot of imaginative potential in today's environment where AI and data privacy are becoming increasingly important.
Currently participating in the event while observing. If there are really applications landing later, there may be opportunities.