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first_img Cryptocurrency research institution Delphi Digital: Speculation is the theme of this decade, and one should hold clearinghouses

On October 20, 2026, Jason Pagoulatos, a macro and market author at the cryptocurrency research institution Delphi Digital, released a report titled "The House Always Wins: Why Speculation is the Theme of This Decade." Pagoulatos stated that speculation has two long-term engines: constructive and lottery-like. Technological changes open the former, while fiscal and political pressures open the latter; historically, many famous bubbles have been driven by one or the other. Today, both are operating at high speed simultaneously, and the same batch of technologies is feeding both. He thus considers speculation itself as an investable theme, advocating for holding places for liquidation bets rather than holding the bets themselves.The data cited in the report includes that the U.S. federal deficit for fiscal year 2025 is $1.8 trillion, about 5.8% of GDP, with net interest around $1 trillion per year, exceeding defense spending. The Harvard Joint Center for Housing Studies states that the national median price for single-family homes in 2024 is 5.0 times the median household income; the National Association of Realtors reports that first-time homebuyers account for 21% of transactions, with a median age of 40. According to the American Gaming Association, legal sports betting amounts have risen from $6.6 billion in 2018 to $166.9 billion in 2025. Capital expenditures for Microsoft, Alphabet, Amazon, and Meta are approximately $416 billion for 2025, with guidance for 2026 totaling about $720 billion to $745 billion, plus Oracle.In terms of venues, Robinhood's event contract revenue for Q2 2026 is $156 million, higher than stock revenue of $129 million and crypto revenue of $100 million during the same period. Hyperliquid's expenses for 2025 are about $972 million, with transactions around $3 trillion. Kalshi reportedly raised funds at a valuation of about $40 billion, and Polymarket is set to relaunch in the U.S. by the end of 2025. The author also mentions that the most likely mistake is to hold inventory of the crowd and call it a casino. The report states that it is for educational and general informational purposes only and is not investment advice; the author may hold Bitcoin, HYPE, HOOD, and LIT, and affiliated party Delphi Ventures may invest in the assets or agreements discussed in the report.

first_img Micron is developing a physical AI-specific edge inference memory

Micron Technology Vice President Li Zhe stated at the Korea Semiconductor Exhibition SEDEX 2026 held at COEX in Seoul that the company is developing Edge Inference Memory (EIM) for physical AI. The industry expects this product to enter mass production in the second half of 2028. Micron is researching the use of EIM in LPDDR6 to meet the demand for low-power DRAM in applications such as autonomous driving and humanoid robots, and is in discussions with major customers regarding related products.According to a report by the Science and Technology Innovation Board Daily, EIM is positioned between AI chips and memory, utilizing a method of stacking LPDDR on logic chips to process inference data at high speed, although the computing architecture has not been fully disclosed. Li Zhe mentioned that current robotic AI models have about 1 billion to 2 billion parameters, with low bandwidth requirements; however, as more advanced visual language models emerge, LPDDR alone will not suffice, and HBM will eventually be used for humanoid robots. Micron anticipates that future high-performance humanoid robots will require approximately 200 GB of DRAM and 4 TB of storage, while current service robots require about 12 GB of DRAM and 256 GB of storage.Micron CEO Sanjay Mehrotra stated that the storage capacity of a single humanoid robot is about 10 times that of an ordinary L2+ passenger vehicle. The storage industry may enter a period of sustained demand growth for several decades around 2030, driven by the need to synchronize data from hundreds of sensors and run large models locally for millisecond-level control. Counterpoint Research predicts that global DRAM demand for humanoid robots will increase from approximately 8,300 Tbit this year to about 172,000 Tbit by 2030.
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