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On the journey of privacy technology evolution, the popularity of ZK has not yet fully faded, and FHE (Fully Homomorphic Encryption) has quietly become the new favorite among developers. This technology sounds very cutting-edge, but in fact, it was proposed as early as 2009.
So why is FHE attracting attention again? The key lies in its capability: performing computations directly on encrypted data, which sounds a bit like magic. More importantly, it can solve a long-standing difficult problem—the seemingly irreconcilable contradiction between privacy protection and data usability.
On one side,

New developments in the public chain payment sector. Stripe and Paradigm jointly developed the Tempo public chain, which recently launched the TIP-20 token standard. This scheme is specifically designed for stablecoins and payment scenarios.
Technically, TIP-20 is an upgraded iteration based on the Ethereum ERC-20 standard, fully compatible with the ERC-20 ecosystem, but with enhanced features—adding transfer memo functions, compliance controls, and reward distribution mechanisms. This means that project teams issuing stablecoins or payment tokens can handle on-chain transaction information mo

Interesting phenomenon: the fintech industry is always hyping certain development tools, but if you ask the people who actually write code? Most of them have no particular opinion. What does this indicate? It could mean that the needs of financial practitioners and engineers regarding tools are completely different, or there is a gap between the hot topics in the financial circle and actual applications. I want to hear how technical people view this issue.

113 code commits have already been pushed to my trading signal tool. Currently, it is pulling real-time market data from multiple data sources and generating trading signals based on trend analysis. The core of this system is integrating market information from multiple channels to help capture potential trading opportunities. Recently, I placed an order based on the first signal generated by the system to test the waters. It looks promising and could turn losses into profits. Of course, some details need to be refined, but the overall direction should be correct. The true test will depend on

At the recent AI industry summit, a point really struck me—the concept of high-risk artificial intelligence.
Think about it: when AI is no longer just for chatting or writing copy, but truly involved in payment settlements, on-chain transaction execution, business negotiations, and asset management decisions—areas involving real money—the rules of the game will change completely.
At that point, whether AI is smart or not becomes secondary. The only two critical questions are: Is this thing reliable? Can it be hacked? Can it be trusted? Are there vulnerabilities to attacks?
This is exactly the

Recently cracked the implementation using client-device signing through Privy's framework. The key trick here is running a sign message call first to prime the keyshare cache—sounds small, but it makes all the difference. After warming up the system that way, you can push auto-sends from the client side down to around 20ms end-to-end latency (shoutout to infrastructure providers like Helius for enabling this speed). The approach essentially cuts out unnecessary handshakes and lets the cached keyshare handle subsequent operations with minimal overhead. Pretty solid for applications that demand

gMPC really opens up some creative possibilities. The kind of thing you and your collaborators can pull off with generalized multi-party computation is pretty wild—you're essentially running calculations where nobody has to expose their sensitive data. That's the whole appeal when you think about it: privacy-preserving computation at scale. Worth exploring if you're serious about building private infrastructure in Web3.

A big step! A cutting-edge language model tops the GAIA benchmark leaderboard 🔥
This is a real technological breakthrough. The development team has pushed the model's performance to new heights through solid optimization and innovative architecture design. In this highly competitive AI race, reaching the top of the leaderboard shows what? It indicates that the technological direction is correct and the execution is on point.
Hats off to the team's effort and perseverance!

What would happen if you casually coded up a drainer contract? It's an interesting thought experiment about smart contract design and security—understanding how these mechanisms work is crucial for blockchain developers looking to build secure applications.

The race for AI dominance is heating up, and one tech executive's warning shouldn't be ignored: America needs to ramp up AI manufacturing capabilities—fast. Without it, the gap between the U.S. and competitors could widen dangerously, potentially escalating tensions on the global stage. It's not just about market share anymore; it's about who controls the future of artificial intelligence and, by extension, global stability. Building domestic AI infrastructure quickly is becoming less of an option and more of a necessity to maintain technological leadership and prevent conflicts rooted in tech

Kumbaya proposal pushes to restore the 80-byte default limit on OP_RETURN outputs. This technical adjustment aims to optimize blockchain capacity and data handling within the protocol framework. The proposal addresses previous modifications to OP_RETURN constraints, seeking to rebalance transaction efficiency with on-chain data storage capabilities.

The shift toward modular Layer 2 solutions is accelerating. On January 7th, a discussion unpacks why increasingly more users and developers are gravitating to L2-based infrastructure. Leading projects building on modular architectures—from zkSync to Manta to Linea—are reshaping how we think about scalability and user experience. This event brings together builders and researchers to explore the mechanics behind this trend: cost efficiency, transaction speed, and ecosystem maturity. Whether you're tracking the L2 landscape or curious about where blockchain scalability is headed, the insights sh

Looking for the optimal approach to implement auto-signing and transaction confirmation on Solana via embedded wallets with minimal latency. Current implementations are dragging things down with unnecessary delays at every step.
Anyone cracked this already? Trying to avoid building from scratch if possible.

The energy bottleneck represents civilization's next critical threshold. Setting an ambitious target—capturing just one millionth of the Sun's total energy output—would unlock over 1,000 times the power currently achievable through Earth-based infrastructure. This isn't mere speculation; it reflects a fundamental shift in how we approach resource utilization.
Why does this matter? Because energy abundance directly enables technological acceleration. When you remove constraints on power supply, innovation compounds exponentially. Half of humanity's major breakthroughs trace back to access to ch

The latest generation of AI inference chips is showing impressive efficiency gains. According to recent technical specifications, the newer architecture can slash inference token costs by up to 10 times compared to previous generations—a game-changer for large-scale deployments. Even more striking: training models on this platform requires roughly 4 times fewer GPUs than earlier designs like Blackwell. For anyone running compute-heavy operations in the Web3 space, these efficiency improvements translate directly to lower operational costs and better resource utilization.

BTC.b isn't just another wrapped Bitcoin—it fundamentally reshapes how Bitcoin operates across chains. The old bridge mechanism was clunky, requiring users to navigate complex multi-step processes. What changed? A single mint operation now handles everything, making Bitcoin truly native on stability-focused blockchains.
This matters because it puts decentralized Bitcoin where it belongs: at the center of DeFi infrastructure. No more friction between chains. No more convoluted workarounds. Just Bitcoin doing what it does best—moving freely and serving as the backbone of decentralized finance wi

Ethereum's approach centers on building resilience rather than chasing yield—and for good reason. According to technical assessments, the risks from centralized infrastructure failures are roughly five times more severe than regulatory pressures facing the $74 billion network. The current system's heavy reliance on centralized RPC providers, relays, and sequencers creates single points of failure that undermine the core security model. To address this, the ecosystem needs to shift toward multi-RPC redundancy, encourage users to run local clients, and gradually decentralize sequencer operations

The semiconductor industry continues its rapid acceleration into artificial intelligence. According to AMD's leadership, we're still at the early stages of tapping into AI's full potential—suggesting massive room for growth ahead. This positioning matters for the crypto and Web3 space, where AI computing demands are reshaping hardware requirements, energy consumption patterns, and investment priorities across blockchain infrastructure projects.

Sometimes you really do have to step back and rebuild things properly instead of patching over problems.
Spent 6 solid hours hunting down bugs, only to realize each fix was creating two new ones. The quick-and-dirty approach just wasn't cutting it anymore.
So yeah—reverting everything and restructuring from the ground up. Takes longer upfront, but it beats the endless debugging spiral.
Frustrating as hell right now, honestly. But this is the way. Better foundations = way less pain down the line. 💪

Dubai's property market hit AED 680 billion in transactions last year, climbing roughly 30% compared to 2024, while the emirate's population swelled past the 4 million mark with around 208,000 new residents joining. Meanwhile, Abu Dhabi's residential sector shows no signs of slowing down—demand keeps climbing 5-6% annually, consistently outpacing what developers manage to supply. What's particularly interesting is Dubai Land Department's recent move into blockchain territory. They've launched a pilot program for real estate tokenization, signaling a potential shift in how property assets could