News linked to both this project and an event.
Bitget has launched a new edition of its Futures Super Pairs campaign, running until June 11 at 16:00 (UTC+8), with a total prize pool of $30,000 USDT. During the campaign, users can unlock mystery box rewards by trading the NEAR, WLD, TAO, H, and FET trading pairs and completing designated futures trading tasks. The mystery box prize pool includes popular tokens and multiple tiers of USDT trial vouchers, with a maximum reward of 5 SOL per draw. Additionally, all users ranking within the top 1,000 by trading volume—and whose cumulative trading volume reaches at least $10,000 USDT—will share a $20,000 USDT prize pool, with a maximum individual payout of $2,000 USDT. Full campaign rules are available on the official Bitget platform; users must click “Join Now” to register before participating.
Arthur Hayes 在 X 平台发文表示，他已清仓全部 HYPE 和 NEAR 持仓，并将在下周二发布的文章“Reality Test”中解释原因。Arthur Hayes 称，伊朗战争和库存补充将推高能源价格；当前至第三季度初之间将有 3 家大型 AI 企业 IPO；预测特朗普将为帮助共和党赢得中期选举而转向反 AI；其认为市场高点将在当前至 9 月之间出现；现在是止盈的时候，可以在无需担心持仓的情况下抽身。
Hyperliquid has recently significantly outperformed the broader market. Its token, HYPE, hit an all-time high following the launch of two related ETFs in the United States. Meanwhile, European traders are accelerating their migration to the platform due to restricted access to perpetual contracts on regulated exchanges. Market analyst Michael van de Poppe stated that with Hyperliquid's continued rally and renewed interest in AI-related crypto projects, signs of improving risk appetite are emerging in the altcoin market. Hyperliquid’s expansion into tokenized stocks, commodities, and pre-IPO assets is strengthening the on-chain asset tokenization trend. He suggested that if market sentiment continues to improve, HYPE’s price could target $100 or even higher.However, Michael van de Poppe also stressed that while Hyperliquid holds a short-term advantage, Solana offers greater long-term investment certainty, transitioning from a "speculative ecosystem" to institutional-grade infrastructure. In the AI track, he noted that NEAR Protocol and Bittensor remain significantly undervalued, citing a disconnect between their fundamental growth and valuations. He pointed out that NEAR’s revenue growth potential and Bittensor’s subnet expansion could support higher valuation ranges. Additionally, he indicated that the privacy sector retains long-term demand, but fully anonymous systems face regulatory pressure. The future is more likely to be dominated by zero-knowledge proofs and compliant privacy solutions.On the macro level, Michael van de Poppe highlighted that bond yields and central bank policies remain the core drivers of the crypto market, with changes in Japanese government bond yields potentially serving as a key barometer. (CoinDesk)
Odaily News Rhea Finance has released a post-mortem report on the attack, confirming that the actual loss from the vulnerability is approximately $18.4 million, a significant increase from the initial estimate of around $7.6 million.The attacker constructed complex transaction paths, manipulated liquidity using fake token pools, funneled borrowed assets into pools under their control, and returned only minimal assets. This caused a large number of margin positions to rapidly become undercollateralized and triggered liquidations, ultimately depleting the protocol's reserve funds.Approximately $11.2 million in funds have been recovered or frozen so far. This includes some USDC and NEAR assets returned by the attacker, as well as about $4.34 million in USDT that was frozen (with assistance from Tether).
OpenGradient, a verifiable AI computation layer, has announced the completion of a $9.5 million funding round. Investors include a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, Pragma, SALT, Symbolic Capital, Canonical Crypto, Black Dragon, NEAR, Celestia, Thanefield Capital, and angel investors including Balaji Srinivasan, former CTO of Coinbase. The new funds will support the development and expansion of a decentralized infrastructure network for hosting, executing, and verifying AI models—enabling open and auditable model execution.