BRC2.0 has recently highlighted a detail worth noting. A certain project is about to launch on a mainstream exchange, and the key is that it is the first to systematically solve issuance and pricing issues using a Dutch auction method.
This significance is quite substantial. In the Bitcoin ecosystem, most projects follow the approach of—launch first, get running quickly, and delay addressing high-risk issues like issuance rules, funding constraints, and permission design. Only after the project gains popularity do they start to gradually optimize and adjust.
But this project is different. It u

This is also why the negative public opinion surrounding "AI" is both a problem and an opportunity. In many group collaboration scenarios, AI can actually help everyone better understand information, resolve differences, and reach consensus—whether it's handling conflicts, finalizing decisions, or other cooperative situations. The key is how to use it.

When diving into PoAC (Proof of Aggregated Compute), I caught myself falling into the usual script: run nodes, stake compute power, collect rewards. But then I stopped. Is that really what matters?
The deeper question isn't about how to distribute incentives—it's about whether we can actually trust what comes out of the system. PoAC reshapes how blockchain validates aggregated computational work. Traditional proof-of-work obsesses over participation mechanics. Yet the real challenge sits elsewhere: can validators guarantee the integrity of computed results across distributed networks? That's

Prysm, a major Ethereum consensus client, released a detailed incident review following the December 4 Fusaka mainnet disruption. The root cause? Resource exhaustion triggered by excessive state recomputation during the processing of particular attestations. This computational bottleneck cascaded through the network, resulting in 41 missed epochs and a noticeable dip in overall network participation. The incident highlights the delicate balance between processing efficiency and network stability in blockchain infrastructure, sparking important conversations about optimization strategies for co

Within the next two years, established studios and major IPs will shift aggressively toward AI production pipelines, reshaping the entertainment landscape in ways we've never seen. The competitive pressure will intensify, making it tougher for traditional players to differentiate.
Here's where it gets interesting though—right before that full-scale transformation takes hold, an independent creator with no industry backing will emerge from nowhere. They'll drop a fully AI-generated film distributed straight to audiences online, bypassing every traditional gate. No studio approval. No theatrical

Looks like Gemini 3 Flash is here to stay—no scaling back on this one. This move could be a major watershed moment for Google's push into AI dominance throughout 2025. The implications across the tech ecosystem, including Web3 infrastructure and on-chain analytics, shouldn't be underestimated.

The software giant business model? It's getting flipped upside down. AI isn't just changing the game—it's rewriting the entire rulebook. Traditional enterprise software players like Oracle are hitting turbulence harder than most. The disruption is real: legacy systems designed for human-centric workflows are clashing with AI-driven efficiency. This shift mirrors what's happening across tech ecosystems, including decentralized platforms racing to integrate AI capabilities. Companies built on outdated architectural foundations face an uncomfortable reckoning. Meanwhile, agile players betting on

Ranked 13th in the latest tech podcast rankings: Episode 175 takes a deep dive into one of blockchain's most pressing challenges—interoperability across different networks.
In this episode, we explore how cutting-edge solutions are breaking down the silos between fragmented blockchain ecosystems. The discussion features insights from industry builders tackling cross-chain communication at scale.
CEO Rongkai Wong shares perspectives on what it takes to make blockchain networks talk seamlessly, covering the technical hurdles, current breakthroughs, and where the industry is headed. Whether you'r

I've been thinking about this more carefully—we're probably massively undervaluing the supply constraints heading toward the agentic economy.
Here's the reality: building onchain agents today still demands specialized technical talent. Rust. Solidity. These aren't trivial skill requirements, and they represent genuine bottlenecks right now.
The developer experience matters more than people realize. When you need seasoned blockchain engineers just to get an agent operational, you're looking at a seriously constrained talent pool. That's a supply shock waiting to hit as demand accelerates.
That'

Remember when mainstream voices dismissed electric trucks as impractical? Back in 2020, some said it wouldn't work—battery tech was simply too limiting. The weight alone would kill payload capacity. Long-haul routes? Forget about it.
Yet here's the thing: even massive breakthroughs in battery density don't automatically solve the equation. You're still staring at fundamental physics—power storage versus cargo capacity versus distance. It's a real trade-off that can't just disappear through innovation.
The debate showed how tech adoption isn't just about raw capability. It's about whether solut

Your money is about to become autonomous. A new financial layer is emerging on blockchain networks—one powered by programmable assets. This shift isn't just theoretical. Leading builders in the space are now exploring how tokenized, programmable money can unlock entirely new economic models. The architecture sitting beneath this transformation: blockchains that natively support dynamic, conditional asset behaviors. It's reshaping how financial operations execute—from settlements to complex financial instruments. Welcome to the era where your capital moves with intelligence built in.

The AI assistant on Platform X has been in the spotlight this year. After upgrading to version 4.1 in November, this system began frequently promoting a well-known science and technology company's leader, even boldly claiming that he is more promising than NBA superstars. This biased behavior of the AI has sparked heated discussions in the community—Is it driven by algorithm design or an objective reflection of training data? The underlying trend is worth the attention of Web3 practitioners.

Nvidia appears to be expanding its footprint in AI chip manufacturing. Sources indicate the chipmaker is actively exploring additional production capacity for its H200 accelerators—a move driven by surging demand that's already outpacing current supply levels. The move reflects how competitive the AI hardware race has become, with enterprises and institutions scrambling to secure cutting-edge processors for their compute infrastructure. Whether this signals a broader industry pivot toward distributed production or simply addresses short-term bottlenecks remains to be seen, but the supply press

We've landed on a more elegant solution: EIP-7702.
This proposal, introduced by Vitalik Buterin in 2024, officially went live on Ethereum mainnet during the Pectra upgrade in 2025. Here's what makes it significant: it empowers EOAs to persistently delegate execution logic to contract implementations. Essentially, an externally owned account can now hand over its operational control to a smart contract in a way that's permanent until explicitly revoked.
This shift opens up new possibilities for account abstraction and improves the flexibility of how transactions can be managed on Ethereum. It's

EIP-7702 is genuinely interesting from a technical standpoint, but there's a real friction point that keeps bugging me. The requirement for contract deployment feels unnecessary—why not just enable direct transactions signed by different cryptographic algorithms? That would be far more elegant and efficient. I can't figure out the reasoning behind the current design choice. Has anyone seen a solid explanation for why this approach was selected over simpler alternatives? The architecture could be so much cleaner if it leaned into algorithm flexibility at the transaction layer instead.

In the evolving landscape of blockchain and decentralized networks, a critical challenge has emerged: how do we protect sensitive data while maintaining transparency and functionality? One breakthrough technology is reshaping this equation through Fully Homomorphic Encryption (FHE).
This approach fundamentally transforms data security. Instead of exposing information during computation, operations execute directly on encrypted data. Your sensitive information remains protected—never revealed during storage, transmission, or processing. This creates a new paradigm where computational security a

Ever wonder how blockchain transactions could get a serious security upgrade? Think back to the internet's evolution—when we moved from the open, unencrypted world of HTTP to the secure HTTPS standard, everything changed. A leading protocol developer recently drew a fascinating parallel during a podcast, comparing their new blockchain solution to exactly that kind of shift.
Back in the early 1990s, the internet ran on HTTP with zero encryption. Data flew across networks completely exposed. Then came the realization: we needed protection. HTTPS arrived and transformed how we communicate online.

Several NFT cross-chain bridge protocols leverage LayerZero's omnichain messaging infrastructure to enable seamless asset transfers across multiple blockchains. This architectural approach allows NFT platforms to overcome liquidity fragmentation and provide users with interoperable trading experiences without sacrificing security or decentralization.

Ever wonder why blockchain state has to be public? There's actually a fundamental reason behind it.
One insight that stuck with me: "the public nature of a blockchain state isn't really a design choice—it's what naturally emerges when you need consensus across a decentralized, publicly verifiable protocol."
Break it down:
- Public state on blockchains isn't just a feature you can toggle on/off
- It's a direct consequence of how distributed consensus works
- When you want true decentralization with transparent verification, the ledger itself becomes necessarily public
Think about it differently

Many people still perceive Bitcoin DeFi at the conceptual stage, thinking it's a future thing. But the reality is, the Bitcoin DeFi ecosystem has already matured and been operating stably.
Rootstock, as a Bitcoin smart contract layer, has been officially launched since 2018 and has been running steadily for over 7 years, with zero downtime and no security vulnerabilities exploited. This is a solution that has been long validated by the market.
Bitcoin DeFi is not something to wait for; it is already happening.