How do you extract the hex string representation from a Pixelchain (PXC) asset so it can be imported into the Art on Blockchain platform's send and receive fields? Many collectors working across different NFT ecosystems need to understand this technical bridge between various blockchain asset formats and standards. The ability to convert and transfer hex string data between platforms would streamline workflows for managing digital art collections across decentralized networks.

Open-source voice AI just reached a new milestone. Two cutting-edge models are now available:
FireRedTTS2 delivers impressive performance metrics—140ms latency with support for 4-speaker dialogue interactions across 7 languages. Built on a dual-transformer architecture, it handles complex audio processing while maintaining real-time responsiveness.
VibeVoice takes conversation length to another level, supporting 90-minute continuous interactions with genuine real-time processing capabilities. The architecture enables natural, extended dialogues without degradation.
Both models represent signif

Almost wrapped up on the wallet integration list. Getting close to finalizing all the compatibility checks and backend configurations. Should be ready to move to testing phase soon.

From a traditional development perspective, blockchain protocols indeed require more standardized processes. Generally speaking, any protocol-level changes should be announced 3 to 6 months in advance to inform the community, allowing contributors enough time to understand and review, and making it easier to collect the relevant CLA signatures.
Of course, not having all the information makes it difficult to draw definitive conclusions. However, from an engineering standards perspective, taking these steps early on is always the right approach.

Quantum Computing Threat: Real Concern or Overblown Narrative?
Bitcoin's quantum resistance has become increasingly contentious. Adam Back recently challenged the mounting quantum-risk discourse, taking issue with how some figures are framing the debate. He argued that while quantum computing poses legitimate long-term considerations, the current alarm-raising isn't constructive for the discussion.
The core tension? Not everyone agrees on whether present-day quantum threats warrant this level of urgency. Some analysts believe the conversation lacks nuance, potentially creating unnecessary FUD

The combination of AI and smart contract security is essentially a severe test of a team's interdisciplinary capabilities. Engineering implementation, model algorithms, and security logic—all require solid expertise to succeed in this field.
Looking at AgentLISA's technical approach, it's clearly not a team that only knows how to tell stories. From foundational design to engineering deployment, every step reflects thorough accumulation. This is the true foundation for establishing a foothold in the Web3 security field.

Want to deploy your first on-chain contract manually? Now's your chance.
A great smart contract development tutorial has been released, covering everything from zero basics to practical deployment. The entire process is divided into two core stages:
In the first stage, you need to build the basic framework. Name your contract (for example, the most common counter example) and write the initial logic. This step is a warm-up to familiarize you with the development environment and basic syntax.
The second stage is the real deal. Directly modify the code, compile and verify, and watch your logic r

The emergence of ADIChain is not without cause; it directly stands on the shoulders of the powerful modular infrastructure ZKsync. This system is primarily supported by two pillars: one is Airbender, and the other is ZK-EVM. The value of Airbender lies in its direct solution to the long-standing pain point for layer2 users—high data costs. Compared to traditional on-chain data storage solutions on Ethereum, this approach is obviously more aggressive. ZK-EVM is responsible for providing compatibility and computational efficiency at the virtual machine layer. Each component performs its duties,

Building a resilient foundation is what separates thriving ecosystems from fragmented ones. Bitcoin's potential expands dramatically when it can operate seamlessly across multiple blockchain networks without compromising security or consistency.
A robust infrastructure layer makes this possible. When you establish the right core structure, something fundamental shifts—value moves frictionlessly between networks, transactions maintain their integrity, and users experience unified interactions regardless of which platform they're using.
This is the infrastructure layer that Bitcoin needs to scal

BNB Chain has just reduced the turnLength for block validation from 16 to 8. This seemingly simple parameter adjustment actually has significant implications. A shorter turnLength can substantially reduce the risk of reorgs (chain reorganizations), and network stability is also improved as a result — this is a real improvement for the finality of transactions across the entire chain.
For developers, especially those working on validator prediction projects (such as Block-Builders), this change requires special attention. Your smart contracts or oracle logic may directly depend on the turnLengt

Johor State's Play For The AI Infrastructure Boom
Malaysia's Johor is quietly positioning itself as a serious contender in the global AI data center race. While major tech hubs scramble for computing capacity, the state is leveraging strategic advantages—competitive energy costs, available land, and strategic geographic positioning—to attract next-generation infrastructure investments.
What's interesting here isn't just about AI. The broader shift toward decentralized computing infrastructure mirrors trends we're seeing across blockchain networks. As on-chain applications demand more processin

Japan just achieved something remarkable—they built a fully functional 3D-printed train station in just 6 hours. This isn't science fiction anymore.
The speed here is what gets interesting. Traditional construction would take months or even years for a project like this. But with 3D printing technology, they essentially fast-tracked the entire process, slashing timelines that seemed impossible before.
What does this mean for the broader tech ecosystem? It's a perfect example of how automation and innovation are reshaping infrastructure from the ground up. We're seeing similar acceleration prin

TRX as the key utility token of the TRON network is now expanding its footprint — it has officially launched on the Base network. The significance of this move is not only in expanding asset coverage but also in reflecting a deeper trend: the construction of a more tightly integrated composable liquidity system among mainstream public chains.
This collaboration adopts the OFT Standard, a cross-chain standard, allowing TRON to deploy TRX natively into the Base ecosystem through this mechanism. In simple terms, it enables TRX to operate more smoothly on the Base network, truly integrating into t

The true bottleneck of AI may not be energy.
Although discussions about AI computational demands are ongoing, the latest data indicates that compared to other factors, energy costs may not be the primary obstacle to AI development. From chip supply, algorithm optimization, data quality to talent reserves, these elements may have a more significant impact on the AI industry.
This perspective is worth deep reflection. While we enthusiastically discuss power infrastructure and cooling technologies, we may overlook deeper limiting factors. Whether it is the expansion of blockchain networks or the

My brain now interfaces directly with computers—kind of mind-blowing when you think about it. The real shift isn't the novelty though; it's the speed. Your thoughts hit reality almost instantly. There's no lag between intention and execution anymore. That immediacy changes everything about how you work, think, and iterate. It forces you to be more intentional about what you're actually thinking.

Imagine telling your car what you want – and it just happens. A cutting-edge AI assistant now integrates directly with vehicle systems, transforming how drivers interact with their rides. Instead of fumbling with apps or screens, you simply speak. The AI understands your natural language commands, figures out optimal routes, presents transportation options, and handles real-time decision-making on the fly. Meanwhile, the vehicle focuses on what it does best: keeping you safe and getting you there. No interface friction. No extra steps. It's conversation-first tech where intelligence and engine

Looking to bridge ZEC to the Abstract chain? The process typically involves connecting with the bridge infrastructure that supports Zcash-to-Abstract transfers. You'll want to check which bridge protocols or official channels are currently facilitating this cross-chain operation. Sometimes reaching out to the Abstract ecosystem team directly, or checking their documentation on supported asset bridges, gives you the most up-to-date options. Some community forums and Discord channels within these ecosystems are also solid resources for finding the right contacts and current bridge solutions.

We're stepping into an era where intelligent agents operate at scale—planning strategies, reasoning through complex problems, and executing actions autonomously across industries.
Leaders building in this space are already showing what's possible. Teams from cutting-edge AI research labs, enterprise automation platforms, and cybersecurity firms are demonstrating real-world implementations. From autonomous reasoning systems to intelligent workflow automation, these tools are reshaping how organizations operate.
The shift is happening now. Whether it's AI systems making decisions in financial ma

Top computer science graduates from prestigious universities are facing an unexpected career challenge: their credentials alone no longer secure entry-level positions. AI-powered coding assistants have fundamentally shifted the hiring landscape, with these automated tools now capable of handling tasks that traditionally defined junior developer roles.
The acceleration is real. What took junior programmers weeks to accomplish can now be done by AI in minutes. Companies are rethinking their hiring strategies—why invest in training junior developers when an AI tool can produce similar output at a

Big tech is making serious moves in AI-generated visuals. Meta's reportedly cooking up a new image and video generation model slated for 2026 launch. Here's why that matters: next-gen content tools like this could reshape how creators build digital assets, from NFTs to metaverse environments. The convergence of AI and Web3 is accelerating faster than most realize. When these generative models go mainstream, expect ripple effects across decentralized creator ecosystems. Competition in the AI space is heating up, and whoever nails accessible, powerful visual generation wins creator mindshare.