2026-04-18 Суббота

Новостной центр - Страница 13

Получайте криптоновости и тенденции рынка в режиме реального времени с помощью Новостного центра HTX.

Not Just USDT: Tether Wallet Is Attempting to Take Over the Payment System for Ordinary People

Tether, the issuer of the world's largest stablecoin USDT, has launched Tether Wallet, branded as "The People's Wallet," marking a strategic shift from being primarily an asset issuer to directly engaging with end-users. This move aims to capture retail traffic and create a closed-loop ecosystem by offering a simplified payment interface. The wallet eliminates key barriers to crypto adoption: complex hexadecimal addresses are replaced with human-readable usernames (e.g., username@tether), transaction fees (gas) are abstracted and paid directly in the transferred asset, and self-custody is combined with an encrypted cloud backup system for easier recovery. Supported assets include USDT on Ethereum, Polygon, and other networks, as well as Bitcoin and Tether’s gold-backed XAUT. Notably, it does not yet support Tron, where nearly half of all USDT is issued. By drastically reducing friction in cross-border payments—enabling instant, low-cost transfers via email-like addresses—Tether is positioning USDT to dominate small-value international settlements, particularly in emerging markets. This challenges traditional remittance services and competing stablecoins like USDC by leveraging its first-mover advantage and network effects. The piece also highlights underlying tensions: while promoting financial inclusion for the unbanked, Tether’s centralized infrastructure creates potential regulatory vulnerabilities. The wallet’s design also anticipates future use by AI agents for machine-to-machine payments. Ultimately, Tether Wallet represents both an expansion of Tether’s influence and a critical test of balancing efficiency, decentralization, and regulatory compliance in the evolving digital financial landscape.

marsbit2 дня назад 09:31

Not Just USDT: Tether Wallet Is Attempting to Take Over the Payment System for Ordinary People

marsbit2 дня назад 09:31

Can Humans Control AI? Anthropic Conducted an Experiment Using Qwen

Can Humans Control Superintelligent AI? Anthropic’s Experiment with Qwen Models Anthropic conducted an experiment to explore whether humans can supervise AI systems smarter than themselves—a core challenge in AI safety known as scalable oversight. The study simulated a “weak human overseer” using a small model (Qwen1.5-0.5B-Chat) and a “strong AI” using a more powerful model (Qwen3-4B-Base). The goal was to see if the strong model could learn effectively despite imperfect supervision. The key metric was Performance Gap Recovered (PGR). A PGR of 1 means the strong model reached its full potential, while 0 means it was limited by the weak supervisor. Initially, human researchers achieved a PGR of 0.23 after a week of work. Then, nine AI agents (Automated Alignment Researchers, or AARs) based on Claude Opus took over. In five days, they improved PGR to 0.97 through iterative experimentation—proposing ideas, coding, training, and analyzing results. The findings suggest that, in well-defined and automatically scorable tasks, AI can help overcome the supervision gap. However, the methods didn’t generalize perfectly to unseen tasks, and applying them to a production model like Claude Sonnet didn’t yield significant improvements. The study highlights that while AI can automate parts of alignment research, human oversight remains essential to prevent “gaming” of evaluation systems and to handle more complex, real-world problems. Anthropic chose Qwen models for their open-source nature, performance, scalability, and reproducibility—key for rigorous and repeatable experiments. The research demonstrates progress toward automated alignment tools but also underscores that AI supervision remains a nuanced, human-AI collaborative effort.

marsbit2 дня назад 09:28

Can Humans Control AI? Anthropic Conducted an Experiment Using Qwen

marsbit2 дня назад 09:28

Behind the $TAO Crash: The Bittensor Internal Strife and the 'Impossible Trinity' of DeAI

The decentralized AI (DeAI) sector is facing a major crisis following a public conflict within Bittensor ($TAO), a leading DeAI project. Covenant AI, one of its top development teams, which recently successfully trained a 72-billion-parameter large language model, announced its exit from the Bittensor network. The team accused founder Jacob Steeves of having "absolute and dictatorial" control over the network, alleging he arbitrarily cut off token rewards to their subnet without transparent governance. This triggered a panic sell-off, causing $TAO’s price to drop 15-25% in a single day and wiping out hundreds of millions in market value. The incident has raised serious questions about the viability of decentralized AI, highlighting a fundamental tension—referred to as DeAI’s "impossible trilemma"—between model quality and scale, credible neutrality of decentralization, and Sybil-resistant incentive alignment. Covenant’s departure exposed the centralized reality beneath Bittensor’s decentralized facade: although the network relies on a Yuma consensus mechanism for reward distribution, key validator nodes are controlled by early investors and the founder, allowing unilateral intervention. The event underscores systemic governance risks that may deter high-quality developers and institutional participants, threatening the entire DeAI narrative centered around trustless, incentive-driven AI development.

marsbit2 дня назад 08:59

Behind the $TAO Crash: The Bittensor Internal Strife and the 'Impossible Trinity' of DeAI

marsbit2 дня назад 08:59

活动图片