Galaxy Digital's Head of Research: The Bitcoin Policy Institute has filed an application to intervene in the abandoned Bitcoin case, and intends to urge the court to dismiss all the lawsuits.

Bitunix has won the "Best Chart Trading Platform" award at the Peru Blockchain Conference 2026, a high recognition of the platform’s continuous efforts to refine chart trading experiences and build more professional, intuitive trading tools for global traders. This award comes on the back of Bitunix’s series of key initiatives in the chart trading space: the platform recently launched its official Ultra Chart Trading landing page, integrating market analysis, order execution, and risk management into a single interface; its exclusive Super Alerts feature supports multi-dimensional alert conditions including price, technical indicators, and candlestick patterns, helping traders capture market signals in real time. Data shows that users who have used Super Alerts have significantly higher average trading volume than non-users. Currently, Bitunix’s Super Alerts Challenge is in full swing, with a 10,000 USDT prize pool up for grabs. Global traders are welcome to join and participate.

According to market reports cited in a SemiAnalysis client note, Google is collaborating with AMD to develop a product for its 10th-generation Tensor Processing Unit (TPU) line. This would mark AMD’s first major involvement in a custom AI Application-Specific Integrated Circuit (ASIC) project. Analysts note that Google has already built nine generations of TPUs, with Broadcom long handling the actual silicon design, meaning traditional TPU development does not require AMD’s involvement. Thus, the core draw of this partnership lies in AMD’s CPU intellectual property (IP), advanced packaging, and interconnect technologies. The report specifically points out that Google and its clients are pushing for integrating CPU cores within TPU packages to meet the demands of CPU-intensive workloads such as reinforcement learning. Traditional large language model (LLM) training still relies primarily on accelerators, but inference and reinforcement learning for agent-based models require more general-purpose compute resources to operate alongside accelerators. This trend is already evident in Google’s recent hardware deployments. The TPU 8i system, designed for inference and reinforcement learning workloads, pairs one Google Axion CPU with every two TPUs; by contrast, the 7th-generation TPU server only includes one Intel Xeon processor for every four TPUs. Sources say a 1:1 CPU-to-accelerator ratio is the optimal setup in certain scenarios, suggesting the future of AI computing may rely far more on CPUs than the market currently assumes. If the collaboration with AMD materializes, Google will combine its in-house TPU accelerators with AMD’s general-purpose compute cores to build a hybrid AI ASIC, which could reshape the competitive landscape of data center chips.

According to Bloomberg, Alphabet, Google’s parent company, has hired banks to arrange its potential debut Australian dollar bond issuance. One of the appointed banks, Australia and New Zealand Banking Group (ANZ), confirmed via email that the offering could span four tenors, with the longest term hitting 20 years. This marks another move by U.S. tech firms flooding into credit markets to raise funds for AI investments. Earlier this month, Alphabet already issued $25 billion in U.S. dollar bonds and raised nearly $85 billion through equity financing. Coupled with the upcoming Australian dollar bond plan, its financing channels for AI capital expenditures are rapidly expanding from the U.S. dollar market to a global multi-currency landscape. Morgan Stanley previously projected that global AI-related bond issuance will reach nearly $570 billion in 2026, more than doubling from last year, with Alphabet standing as one of the most aggressive issuers in this space. As capital spending by large-scale cloud providers continues to climb, debt financing has become a core funding source supporting the expansion of AI infrastructure.

According to OnchainLens monitoring, a HYPE trader has suffered a $406,000 loss from $93 million in spot trading volume. The Hyperliquid-based trader un-staked 20,000 HYPE (valued at roughly $1.15 million) three hours ago and transferred the tokens to Kraken, likely for sale. Last week, the same wallet un-staked and deposited 24,950 HYPE into Kraken. Since December 2025, the trader has cumulatively purchased 1.37 million HYPE worth $47.79 million, sold 1.25 million HYPE worth $45.47 million, generating total spot trading volume of $93.25 million and a net loss of $406,000.

Serenity discussed the topic "Why Robots Must Be Humanoid", citing Elon Musk’s perspective as the core answer: "Robots don’t necessarily have to be humanoid, but general-purpose robots intended to replace human labor should adapt to the world environment already built by humans." The essence of this logic lies in the fact that doors, stairs, tools and spaces in the human world are all designed for the human body. A humanoid form for general-purpose robots enables them to seamlessly integrate with existing infrastructure, eliminating the need to reconstruct the environment for every new robot design. Serenity also explicitly expects Tesla’s humanoid robot project Optimus will eventually converge to the "correct form". The humanoid design of general-purpose robots is not an aesthetic choice, but an engineering rationality that maximizes environmental compatibility and task versatility.

According to Bitget market data, spot gold rose to hit $4,400 per ounce, up 0.57% intraday.