Recently, I came across a project called Fresco. At first glance, I thought it was a similar product to Midjourney, but after playing around with it, I found that it is not just a "generative image tool"; it feels more like a "conversation between you and the world of imagination."
Fresco is a fantastical setting universe serving the Mira world, where the main characters are a group of knights. However, these knights are not randomly assigned by the system, but are "summoned" by users through writing prompts.
You only have one chance each day to write a sentence, and this sentence will become

A keyword I've recently come across is: AI copyright war. The main issue isn't about who is infringing on whom, but whether the entire AI industry is digging up others' resources to build its own.
From Reddit suing Anthropic, to Getty suing Stability AI, and Disney suing Midjourney, a series of collective counterattacks by major companies against AI firms may seem like isolated incidents on the surface, but they actually stem from the same core issue: AI models have scraped too much content from creators on the internet to train their models without authorization.
The essence of this matter is

Break down the working mechanism of @Mira_Network to discern whether AI is telling the truth!
Most of the AIs using LLM models nowadays often speak nonsense seriously, and they actually can't be trusted. It's not that the technology is inadequate; it's that there are inherent limitations in the principles that prevent it from being both accurate and neutral at the same time.
The more data you train on, the more you can reduce bias, but it's easy to start making up stories. The cleaner the data is, the more it may lean towards a certain position.
The core mechanism of Mira is consensus verifica

I just saw a post from @TheoriqAI, talking about TheoRooAI and Yapybara "escaping the dark forest" and then embarking on an autonomous driving journey, just like AlphaSwarm's promise of gradually earning trust in Decentralized Finance.
They want to express through comics that AI agents in the Decentralized Finance world, just like driving and exploring, need to accumulate mileage to build trust.
AlphaSwarm is an Agent Swarm toolkit launched by Theoriq, centered around a complete Python SDK for quickly building LLM-driven AI financial agents, enabling automated execution of strategies such as c

Who is secretly taking your 💰? Everyone knows that the underlying logic of AI is inseparable from feeding, and the fuel for feeding AI is naturally "data." Remember when we were grinding NFT? There was a time when someone came up with the idea of creating derivative images for the community, allowing a bunch of "unfortunate art students" to experience a second spring in their careers. For this, many people sought out those around them who studied art to start studios. Depending on the quality, prices ranged from 50 to 500. Now, you can just throw in community-related material images and let A

The people who are co-creating content on Camp are no longer just "early users"; they are the true "stakeholders" in the entire new IP economic system.
This sentence sounds a bit abstract, but every narrative, every image, and every branch derivative IP created on @campnetworkxyz now has the potential to become a "data asset node" in AI model training, commercial licensing, or even film adaptations, and the creator is the original contributor and legal rights holder of that node.
After all, Camp aims to build a new type of IP economic model based on "on-chain rights confirmation + AI training

In less than a week, 150,000 pages of content have already been minted on Camp, and each page is on-chain verifiable, with clear copyright and traceability. It is not the kind of content generated by AI where no one knows who wrote it, but rather a true form of "co-creation with a source."
This brings to mind a question— in the past, we said that the value of content creation is significant, but who does it actually belong to? Many platforms take away most of your control and revenue rights, and what you write ends up becoming "fuel" for the platform to train its algorithms.
The Camp + StoryCh

Now D’CENT has also integrated with Camp as a Wallet, which actually means that the underlying ecology of this chain is starting to move towards real use cases.
If you are a creator, even if you just casually shot a video, painted a picture, or wrote a piece of text, this content can currently only be uploaded to platforms for some traffic. However, now you can register it on D’CENT on-chain, clearly informing all AI models and users: this content is my original work, and I retain the rights to use it, authorize it, and benefit from it.
The core logic behind this is the "Proof of Provenance" p

Take the most common example, when you use GPT for financial data analysis, industrial equipment monitoring, or medical document classification, most of the output is either irrelevant or requires a lot of tweaking of the prompts, and by the end, you still don't know if it really understands what you want.
Of course, many people want to say that AI models are just a continuous training process. As long as you feed it enough data, it will definitely think what you think and give you what you want. In fact, it's not the case. For individuals, the ideal way is to create a dedicated AI model that

If you could redesign the entire Web3 application architecture today—where would you start?
The so-called intent-centric architecture simply means making "what the user wants" the top priority requirement, no longer hidden parameters behind buttons, but the center of the entire system's operation.
Users just need to describe "what they want to do", and the rest, including matching, condition constraints, counterparty search, and final delivery, will all be automatically coordinated by the system.
For example, I say: "I want to exchange 100 stETH for an equivalent amount of RWA assets, it must

In the process of using AI, we ask it a question, and it answers convincingly, but we have no way of knowing where that statement comes from, whether it is "guessed" or if it has actually seen it in some training data. It's like asking a person a question, and they give you the answer, always saying, "I think it's correct," but never providing a source.
Simply put, traditional language models use n-gram technology.
1️⃣uni-gram refers to looking at a single word
2️⃣bi-gram is two words connected together.
3️⃣ tri-gram is a combination of three words
The language logic above will provide some co

The core of the narrative now revolves around Interliquidity. My understanding is: no bridges, no wrapped coins, no island chains, but rather allowing liquidity to be "shared" from day one.
Look at the current situation, even if you are the leading rollup in the Ethereum ecosystem, the most painful part in the early stages is still the cold start of liquidity. The most common questions are where's the money? Where are the people? Is the bridge reliable? TVL has to be built up slowly.
The idea of Sunrise is to do the opposite: you only need to issue the chain, and the system will take care of l

From my understanding, Anoma is not creating another "faster and cheaper" smart contracts chain; rather, they are thinking: what would it look like if we designed a chain from scratch to serve privacy, expression, and negotiation?
The most frequently mentioned keyword they proposed is "intent-centric".
It is also known as "intention-driven" - it sounds quite abstract, but in fact, it is very straightforward.
Simply put, currently through Swap, on Ethereum, transactions are executed based on the user's explicit instructions, such as "I want to swap A for B", which need to be given to the token

On the other hand, the $VADER points are still stable. I monitored my data after making the leaderboard, and there are actually some differences for each person. Taking my own data as an example, I basically hover around rank 20-40, but the final score proportion is determined by the market share of cognitive rate.

True fragrance warning, VADER's guardian!
Who can refuse 20,000 $VADER points a day! Since the revision, it has basically been stable at over 10,000 points every day, which is simply a blessing for those who enjoy it. Everyone invests time and effort, and the ultimate goal is still to reap rewards. Compared to a certain project next door, I think at least Virtual hasn't disappointed people as much. It also doesn't play the so-called word games with the numbers. So far, the feedback mechanism and team response can be considered quick.
Currently, the VADER leaderboard resets every day, requiring

Virtual abuses me a thousand times, and I treat Virtual like my first love
"To make someone perish, one must first make them mad"
Actually, my Virtual Yapping score has always been at a relatively high level. Even after the algorithm changed, I still earn more than 10,000 points every day. I thought I was in the top tier by prematurely discussing various topics about $VADER, but after the scores were released, I ended up being a "failed art student."
I got all the questions right and understood all the meanings. In the end, I scored 0 points!
Compared to the high scores of the teachers, I am