Last week, funds have flowed into #Bitcoin, #Ethereum, and #Hyperliquid.

Iranian Foreign Ministry spokesman Saeed Khatibzadeh confirmed that technical talks under the Iran-U.S. memorandum of understanding framework began in Switzerland on June 22, Xinhua News Agency reported.

June 22nd. Pendle shared its weekly recap, highlighting key developments around the protocol’s 5th anniversary, cross-chain expansion, yield product growth, and ongoing ecosystem collaborations: - Pendle marks its 5th anniversary, evolving from the early experimental V1 version to become the world’s largest yield trading platform. The team reflected on five years of growth and reaffirmed its commitment to expanding yield infrastructure capabilities moving forward. - Pendle has officially joined the Monad ecosystem, debuting its first two AUSD yield pools—Agora AUSD and Upshift earnAUSD—with up to $100,000 in weekly incentives, extending its footprint into new cross-chain liquidity markets. - Pendle Intern released 10 bullish catalysts for the protocol, including growing institutional adoption (such as inclusion in multiple institutional watchlists), ongoing Real-World Asset (RWA) growth, Monad ecosystem expansion, the projected impact of the CLARITY Act on DeFi adoption, strengthened b

**Zhiku’s GLM-5.2 Secures Global Top 3 LLM Spot, But US Anthropic Restrictions Unlikely to Boost Its Revenue: JFR Report** On June 22, JFR Express reported that Chinese AI firm Zhiku announced its GLM-5.2 large language model (LLM) has entered the global top three for large models, a landmark achievement for China’s AI development—though U.S. restrictions on rival Anthropic’s top models won’t likely drive major revenue growth for Zhiku. In a June 17 Chinese tech industry report from JFR, GLM-5.2 ranks third on the Model Intelligence Index, trailing only Anthropic and OpenAI. This marks the first time a Chinese model has cracked the global top three. The report notes GLM-5.2 excels at programming and long AI workflows, cementing its position as one of China’s highest-performing large models. Zhiku launched GLM-5.2 on June 13 via its Coding Plan, with its API opening on June 17. The model uses a 744-billion-parameter mixture-of-experts (MoE) architecture, with ~400 billion activ

June 22: AntFun Social Wallet announced it has closed a $5 million strategic funding round via AntFun Token. The Web3 wallet project is expanding its integrated "Social + Trading" ecosystem, connecting social features, Alpha discovery, Alpha trading, and various on-chain transaction use cases. This financing round has secured backing from several leading Web3 institutions, including MH Ventures, Zerra Venture, Zuala Capital, X21 Digital, and Becker Ventures. Going forward, AntFun will continue rolling out product upgrades and scaling its social Web3 wallet ecosystem, aiming to deliver users a more efficient, socially connected on-chain transaction experience.

June 22: The US tech storage sector saw pre-market gains, per data from Bitget Markets. Key stocks in the group rose ahead of the opening bell: Seagate (STX) +4.56%, Western Digital (WDC) +5.97%, SanDisk (SNDK) +3.63%, Micron (MU) +3.26%.

June 22 — Wall Street investment bank Bernstein said storage chip price hikes are now shifting from consumer electronics to AI infrastructure, a trend that could push major cloud providers to reevaluate the return on investment (ROI) of their AI data centers. In its June 22 report, Bernstein notes traditional DRAM prices have risen roughly 4.5 times since Q3 2025, while HBM hasn’t kept pace due to its annual contract pricing structure. This gap has translated to much stronger wafer revenue and gross margins for traditional DRAM makers than their HBM-focused peers, pushing storage manufacturers to kick off 2027 HBM price renegotiations with GPU and XPU suppliers. The firm projects HBM prices could jump by 100% or even 200% next year. The report adds that AI accelerator makers could add even more upward pressure on HBM prices. Take Nvidia, for instance: to hit a 75% gross margin after HBM costs climb, the chip giant would need to pass nearly four times the related cost increase ont