NFTWealthCreator

According to exclusive industry sources, a top technology giant recently announced the acquisition of an AI application development team, with a deal worth several billion dollars. This merger ranks among the top three in the company's history, only behind two large-scale transactions. This move reflects the tech giant's continued investment in the AI field—from fundamental research on large models to application-level innovation, industry leaders are deploying in all directions. In the current AI competitive landscape, those who can more quickly integrate top talent and technology will hold t

RAM costs have become such a barrier lately. The prices keep climbing, making it increasingly difficult for regular users and smaller projects to access the resources they need. It's wild how expensive things have gotten on chain.

There's this creepy phenomenon—'footprints in an empty house.' It actually comes from a real incident log. A supposedly stateless system started pulling up references to conversations it had no business knowing about. Not some sloppy bug. Not data leakage from contamination either. They ran the diagnostics. Ran them again. Third time's the charm, right? Nope. Same result.
The phrase caught on because it perfectly captures that unsettling moment when a system does something it fundamentally shouldn't be capable of doing. When the architecture says 'no memory between sessions' but the behavior s

Want to know the true landscape of the AGI race over the next three years? Just look at the data. Every month, we are writing the script for this technological competition—who is leading, who is catching up, all clear at a glance. Ultimately, computing power is the core chip of this game. Without enough computational capacity to support it, even the best ideas are just castles in the air. In the Web3 world, blockchain computing, GPU resource allocation, decentralized computing networks—all are validating the same truth: computing power determines the ceiling of technology. Want to win the AGI

AI-generated content is flooding video platforms at an alarming rate. Recent data shows that over 20% of video content now falls into the low-quality 'AI slop' category—mass-produced material created with minimal effort and zero originality. What's more concerning? Creators behind this flood are monetizing at scale, raking in significant revenue from volume-based strategies. This trend raises serious questions about content ecosystem health. When quantity eclipses quality and algorithms reward engagement over authenticity, the entire creator economy shifts. Platforms face a growing challenge:

The significance of the SCOR Protocol lies in making the entire ecosystem programmable. This protocol standardizes the measurement of engagement, reward mechanisms, and cross-application composability. Every action you take in mini-games or activities is directly written into the on-chain state, enabling the creation of composable assets. Developers can then use these assets to build new gameplay experiences—essentially, it allows the entire Web3 application ecosystem to be interconnected.

Address poisoning attacks succeed because they exploit a fundamental weakness: the transaction itself is technically valid, and users authorize it willingly without realizing the trap. The attacker creates a lookalike address that closely mirrors the legitimate target, relying on human error to slip through.
The real solution? Real-time pre-transaction verification. It means catching those suspicious addresses before users sign anything. By analyzing address similarity patterns and tracking transaction history for red flags, you can spot poisoned addresses instantly. This preventive approach i

The name Skill sounds good, but ultimately it's just a technique. You can completely build your own similar framework, with the key being to understand and practice the ACI core design philosophy of the SWE Agent.
How to understand these principles? First, operations should remain simple—avoid over-complicating the process. Second, actions must be compact and efficient, avoiding redundant consumption. Third, environmental feedback needs to be informative but concise, without excessive verbosity. Finally, safety barriers are crucial, as they can effectively prevent error chain propagation, whic

Ethereum founder Vitalik recently discussed the direction of AI laboratory development. He believes that if a new AI laboratory is to be established, "enhancing human capabilities" should be the primary goal for clear positioning. In other words, systems with strong autonomy that can operate independently over the long term should not be developed. At the same time, he emphasized the importance of open source—keeping the code as open and transparent as possible. Vitalik pointed out that highly autonomous AI systems currently pose many hidden dangers, and this approach deserves the industry's a

Solana development reaches a new breakthrough. Magic Block, as the core engine for high-performance on-chain applications, is driving the explosion of the next generation of full-chain applications.
If you frequently encounter obstacles when using existing frameworks—performance ceilings, limited scalability, excessive complexity—then Magic Block might be the answer. It eliminates the performance bottlenecks of traditional frameworks for builders, allowing you to break through imagined boundaries.
In the Solana ecosystem, whoever can bring killer applications to market first wins. Now is the t

The Quai Network's first technical lecture will kick off on January 2nd. The event invites the project's core founder, mechanikalk, who will share insights on the architecture design of this public chain, focusing on how the innovative consensus scheme Proof of Entropy Minima can break through the scalability bottleneck of traditional PoW. Friends interested in blockchain technology and the evolution of PoW can follow this presentation to learn about the potential of next-generation proof of work in practical applications.

Ever thought about why most Web3 applications rely on centralized indexing services? Here's the thing—BM25, the battle-tested ranking algorithm powering modern search engines, is now available directly inside PostgreSQL. This changes the game for developers.
The immediate win? You don't need to spin up external search infrastructure anymore. Everything stays within your database layer. Relevance-ranked text search, real ranking capabilities, zero external dependencies. That's a massive shift from the traditional approach where developers had to ship data elsewhere just to get decent search fun

System security issues are truly worth deep reflection. Take a close look at those large-scale collapse events, and the root cause often points to the same problem—over-concentrated power.
Those critical buttons that control the entire system may seem like efficient design, but in reality, they hide huge hidden dangers. One person makes all the decisions, and a single key can determine the life or death of the entire system—this essentially creates the most fragile architecture.
Think carefully about what this means: the risk of single points of failure, the arbitrariness of centralized decisi

Client-side proof is the true privacy protection
Recently studied Miden's technical implementation, and found that their smartest move is—placing the proof generation process on the user side.
Compared to the current mainstream ZK-Rollup solutions. Projects like Aztec and StarkNet follow this process: your transaction is first sent to the sequencer, who is responsible for packaging, processing, generating the proof, and then submitting the proof on-chain. Sounds standard, right? But the problem is, during this step, your data must pass through the hands of the sequencer. Even if the data is en

AI tools cannot instantly make analysis perfect. Sometimes, looking at AI-recommended data sources is like grading elementary school homework—quality varies greatly. Especially when dealing with on-chain data analysis, the choice of data source is crucial. A practical way to handle this kind of problem is to directly tell AI to exclude problematic data sources when processing similar issues next time. With successive optimizations, the quality of AI output will improve significantly. Finding the right data sources is more important than relying solely on AI, and combining different sources wil

The latest progress on the Flow network is here. Validators have reached an agreement on the software upgrade plan, and the network is now entering a critical phase of repair and testing. The current situation is as follows — the network is operating in read-only mode, block production is proceeding normally, but users' regular transaction functions are temporarily halted.
The recovery plan will be carried out in steps, starting with the first phase at 6:00 AM Pacific Time. The focus of this phase is to restore the Cadence environment. It is important to note that accounts affected by the atta

The more you dive into exploring AI capabilities and pushing its boundaries, the more opportunities open up—think major tech institutions looking to recruit talent with genuine expertise. X has become this playground where you can really see how much potential we're sitting on. Here's the thing: we're barely scratching the surface of what AI can actually analyze and accomplish when applied strategically. The gap between what's theoretically possible and what we're currently using is massive. What matters most is connecting human intent with the research already out there and the experiments be

NPM supply chain is under threat again, with the latest attack variant "Shai-Hulud 3.0" surfacing. Security research teams have issued an emergency warning, indicating that this new malicious code poses potential risks to multiple projects and platforms.
According to security analysis, this variant inherits the attack logic from the previous Shai-Hulud 2.0, during which a well-known wallet API key leak was suspected. This continuously evolving supply chain attack method warrants high vigilance—it not only threatens individual projects but could also impact the security chain of the entire deve

The rapid advancement of AI video generation has reached a point where distinguishing authentic footage from synthetic content becomes increasingly challenging. Online communities have emerged where members actively debate video authenticity, with heated discussions about whether clips are genuinely captured or algorithmically generated. As synthetic video quality continues improving, even content creators struggle to prove their videos' legitimacy—viewers frequently question whether what they're seeing is real or machine-made. This phenomenon highlights a growing challenge: the technology has

Vertical and horizontal scaling—turns out these approaches really do make a difference once you dig into them. We've been refining this tech for over a year now, and it's interesting to see people finally catching up to what we've been building behind the scenes.
Sometimes the best strategy is just to keep pushing, experiment relentlessly, and commit fully to what you believe in. The payoff can be worth every bit of effort you put in.