KuCoin Extends Support to USD1 as WLFI Stablecoin Climbs the Ladder

TheNewsCryptoPubblicato 2026-02-02Pubblicato ultima volta 2026-02-02

Introduzione

KuCoin has announced support for the USD1 stablecoin issued by World Liberty Financial (WLFI). The token will be available on the AB Core Network, with deposits scheduled to begin on February 02, 2026. This move comes as USD1 rises in market capitalization, recently surpassing PayPal’s PYUSD to reach $4.96 billion. Launched in March 2025, USD1 has grown rapidly but still trails major stablecoins like USDT, USDC, USDe, and DAI. The listing follows a successful points program on Binance that distributed 12 million USD1 tokens, signaling broader adoption potential for the stablecoin.

KuCoin, an exchange platform, has announced its support for USD1. The WLFI stablecoin will be available on a network with deposits expected to commence soon. The move comes at a time when USD1 is moving upward on the list of global stablecoins in terms of market cap.

KuCoin Now Supports USD1

KuCoin, through an X post, has confirmed that it is extending support to the WLFI stablecoin, which is USD1. The token will go live on AB Core Network, with deposits scheduled to commence on February 02, 2026, at 10:00 UTC. Users can access the Deposit page to check the stablecoin. They only have to select USD1-AB Core Network to complete the transaction.

WLFI has confirmed the announcement, saying that it marks a step in the expansion of the global adoption of its stablecoin. World Liberty Financial has also hinted that it would soon bring more utilities for the community. Members have reacted positively to this announcement, by calling it epic, and expressing that they were bullish on USD1.

USD1 on the Stablecoin Chart

The list of global stablecoins is still led by Tether’s USDT with a market cap of $185.23 billion. However, USD1 seems to be making its way forward, considering it just surpassed PayPal’s PYUSD. The market cap of WLFI stablecoin is currently $4.96 billion after briefly recording a number of $5 billion on January 28 ,2026.

Interestingly, USD1 has climbed the ladder in less than 12 months, as it was launched only in March 2025. USD1 still has a long way to go because it is still behind USDC, USDe, and DAI, in the same sequence from the second position. They have a market cap of $70.38 billion, $6.55 billion, and $5.36 billion, respectively.

Earlier Success of WLFI Stablecoin

The earlier success of WLFI stablecoin is linked to Binance, after the platform announced rewarding 12 million tokens through a points program. Members only had to participate in the USD1 Points Program, and they had a chance of earning a share from the token voucher pool.

The program commenced on January 29, 2026, and is scheduled to conclude on February 27, 2026, at 8:30. Acceleration on Binance and support from KuCoin represent that there is potential for a broader adoption of USD1, as underlined by World Liberty Financial in the official announcement.

Highlighted Crypto News Today:

Senator Warren Presses for Probe Into Trump-Linked UAE Crypto Deal

TagsKuCoinStablecoinUSD1WLFI

Domande pertinenti

QWhat is the name of the stablecoin that KuCoin has announced support for?

AUSD1, which is the WLFI stablecoin.

QOn which network will USD1 be available for deposits on KuCoin, and when are deposits scheduled to begin?

AUSD1 will be available on the AB Core Network, with deposits scheduled to commence on February 02, 2026, at 10:00 UTC.

QWhat is the current market capitalization of the WLFI stablecoin as mentioned in the article?

AThe market cap of the WLFI stablecoin is currently $4.96 billion.

QWhich major exchange previously ran a points program to reward users with USD1 tokens?

ABinance ran a points program to reward 12 million USD1 tokens.

QAccording to the article, which stablecoins currently have a larger market cap than USD1?

AUSDT, USDC, USDe, and DAI all have a larger market cap than USD1.

Letture associate

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

链捕手27 min fa

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

链捕手27 min fa

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

marsbit29 min fa

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

marsbit29 min fa

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报38 min fa

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报38 min fa

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit1 h fa

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit1 h fa

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit1 h fa

Your Claude Will Dream Tonight, Don't Disturb It

marsbit1 h fa

Trading

Spot
Futures
活动图片