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Major milestone hit—the inaugural block on BTC2 has just been successfully mined during the latest integration testing phase. This marks a critical checkpoint in the development cycle, validating the network's core mechanisms before moving toward broader deployment. The achievement demonstrates progress in refining Bitcoin's layer-level infrastructure and testing protocol stability under real conditions.

Ethereum's Strategic Trade-Off: How Layer-2 Growth Cost Mainnet Over $100M in 2025
Ethereum made a deliberate choice this year—sacrificing more than $100 million in direct mainnet fee revenue to fuel Layer-2 scaling and strengthen its long-term ecosystem. It's a calculated bet on expansion over short-term extraction.
The math tells the story. Since the Dencun upgrade rolled out, Layer-2 networks have only sent $10 million back to mainnet in settlement fees. Meanwhile, those same Layer-2s retained $119 million in revenue for themselves. That's the cost of decentralization and scalability.
This

Are phishing attacks failing? The 2025 data provides an interesting answer.
According to the latest statistics, losses caused by cryptocurrency phishing attacks this year have dropped to $83.85 million, a significant 83% decrease from $494 million last year. More notably, the number of victims has plummeted to 106, a year-over-year decline of 68%.
What is behind this trend? An important turning point occurred in the third quarter. At that time, Ethereum's strong rebound directly boosted phishing loss figures, reaching a quarterly high of $31 million, accounting for nearly 30% of the total annu

What is MinImmit? Recently, this new blockchain consensus mechanism has attracted a lot of attention. Its core selling point is to make the network both fast and simple.
**Obvious Speed Advantage**
The most attractive feature of MinImmit is immediate finality—once a transaction is confirmed, it is instantly ordered, eliminating the need for long waits and secondary confirmation processes. This greatly improves user experience and throughput.
**But here is a trade-off**
New consensus mechanisms often come with new security considerations. Although MinImmit performs outstandingly in simplifying

Filecoin is positioning 2026 as a pivotal inflection point for its ecosystem. The development team is aggressively pushing forward with infrastructure upgrades centered on network scalability and smart contract capabilities. The roadmap signals a shift toward enabling broader real-world applications and adoption on the blockchain.
If the engineering team manages to deliver even a portion of the planned upgrades, Filecoin could see substantial improvements in transaction throughput and developer usability. Scalability enhancements are critical for platforms eyeing mainstream adoption, especiall

When it comes to constraining artificial intelligence, we're often caught between two worlds: the ruleset of society and the hard ceiling of reality itself.
The distinction matters tremendously. Social rules can be reinterpreted, bent, or worked around. But physics? Physics doesn't negotiate. It's the only guardrail that truly can't be broken.
This becomes critical as AI systems grow more sophisticated. In an environment where algorithms can generate convincing fiction and pass it off as fact—where hallucinations look identical to data—we need something more solid than policy papers.
Physics o

Within the next few years, AI agents will be managing vast amounts of capital in the financial ecosystem. When that moment arrives, the infrastructure layer becomes everything. Teams that built foundational systems early will likely be the ones powering that transition.
But here's what most people still underestimate: quantum computing poses a genuine threat to current cryptographic security standards. By the time the threat becomes obvious, it might be too late to adapt. The protocols architected today with quantum resilience in mind aren't just technical improvements—they're existential safe

Interesting viewpoints comparison: What is the key to building AI products?
There is a consensus in the industry abroad — technology is the real moat in the AI era. No matter how good the marketing is or how accurate the demand understanding is, if the product itself isn't solid enough, it's all in vain.
In contrast, the domestic startup scene often follows a completely opposite approach: prioritizing marketing, demand exploration, and user growth. Both sides seem to be working on AI, but in reality, they are taking two different paths.
Why? Someone summarized it: creating a truly excellent AI

Small Modular Reactors: Breaking Down the Economics, Supply Challenges & The Road to Mass Deployment
When it comes to powering the next generation of data infrastructure—from AI compute farms to blockchain networks—energy solutions matter. Small modular reactors (SMRs) are emerging as a potential game-changer, but what does the economics really look like? We're diving into the actual costs, where fuel bottlenecks hit hardest, and why scaling these systems faster than traditional reactors could reshape how we power critical infrastructure in the Web3 era.

Picture this: within a couple of years, AI could be generating up to 90% of the world's knowledge. Sounds wild, but think about it—does it really matter where information comes from? Whether you're reading a textbook written by random authors or one synthesized by AI, you're still absorbing knowledge the same way. The source changes, the learning outcome stays the same. That shift alone could reshape how we think about education, content creation, and even how we verify what's trustworthy.

The rise of AI-powered deepfake and face-swapping tools has created a double-edged security problem worth examining. On one hand, individuals sharing their photos online face growing risks—not just from deliberate uploads, but from bad actors scraping images from public spaces, social media, or even surveillance footage to manipulate them without consent. The attack surface keeps expanding.
Then there's the generational gap in digital safety awareness. Older internet users often fall prey to different threats—fabricated AI-generated posts, convincing phishing schemes, and manipulated media spr

The existing crypto application ecosystem indeed has many issues. In comparison, using ready-made tools is often more convenient, but when it comes to data privacy and security, many applications are truly unsettling. Instead of worrying, why not do it yourself? Build a local deployment solution, with full control in your hands—data, keys, and all sensitive information are managed locally, completely avoiding trust risks. Although this approach requires some technical knowledge, it is definitely worth it for developers and users who truly care about privacy. Open-source deployment and autonomo

Most advanced AI we've ever seen. Cutting-edge technology. The future is here. So naturally, what do people do when they get their hands on it?
Generate images with creative wardrobe suggestions.
That's literally it. Everything else pales in comparison. 😂
Wild start to 2026 we're having. Humanity's finally got access to the most powerful AI tool imaginable and... yeah. Sometimes you gotta laugh at how the world actually works versus how we think it will.

Throughout history, we've heard doomsday predictions about the internet's future. Social networks were supposed to kill it. Then mobile apps came along. Yet here we are, the web is still standing. But this time feels different. AI might just be the real existential threat the internet has been waiting for. Unlike previous waves that merely reshaped how we consume content, AI isn't just changing the game—it's threatening the very foundation of how information flows and gets discovered online.

Crypto's real bottleneck isn't creativity—it's fragmentation. Right now, builders are stuck in silos, repeatedly solving the same problems across different chains because ecosystems don't talk to each other. The breakthrough comes when you remove these barriers. Once assets and data can flow seamlessly between networks, developers finally stop duplicating efforts and focus on actual innovation. That's where interoperability infrastructure changes the game. Instead of everyone building their own bridges, they can concentrate on what matters: creating value. It's the difference between infrastru

How is the computing giant reshaping the AI landscape through strategic startup backing? From deep learning accelerators to edge computing solutions, the semiconductor leader's investment portfolio reveals where next-generation AI development is headed. These emerging ventures are building the infrastructure that could unlock new possibilities in decentralized compute, blockchain optimization, and neural network efficiency. Understanding which startups are receiving backing helps map out the future trajectory of AI-driven innovation in the Web3 space.

Reading through the latest performance metrics reveals something interesting about what institutional players actually need in blockchain infrastructure.
Here's the thing: it's not about chasing the next flashy virtual machine. What matters to serious market participants is simpler than that—they want the proven EVM model, just operating at the speed the market demands today.
Looking at the numbers: 82 million active wallets. That's not just growth noise; it's a statement about real adoption and operational capacity. When a high-performance blockchain hits these kinds of metrics while maintain

The recent Cloudflare outage has been making waves across the Web3 ecosystem. For those who missed it, a major configuration error triggered the widespread service disruption that impacted countless websites and decentralized applications relying on Cloudflare's CDN infrastructure.
This incident serves as a critical reminder of how centralized infrastructure dependencies can create single points of failure in the broader crypto and blockchain space. Even though we're building decentralized finance and Web3 technologies, many DApps, exchanges, and blockchain explorers still depend heavily on ce

Most crypto wallets keep you in the dark about your actual performance. Want to check your PnL? Juggling between three different apps and a spreadsheet is basically the standard experience right now.
Here's the thing: if tracking your gains and losses requires that much friction, the issue isn't your trading strategy—it's your tooling.
Portfolio-level visibility, token-level breakdown, real-time balance tracking—this shouldn't be a feature request anymore. Native, institutional-grade PnL tracking built directly into mobile wallets is what the market actually needs. No workarounds, no external

Ever noticed how AI models lose accuracy as time goes on? The issue is treating data like frozen photos instead of living things. Real-time signals beat stale datasets every time. Here's what shifts the game: tap into continuous data streams, let the community help gather information—this expands what you can see and speeds things up. Pair that with human verification keeping everything honest, and you've got something that actually stays sharp instead of getting dumber.