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delphi

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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 Delphi Digital: China's AI Laboratory is Transforming Intelligent Economics

Research institution Delphi Digital stated that hardware limitations are driving Chinese laboratories to shift towards cheaper models and more efficient technology stacks. Export control restrictions limit their access to advanced chips, while domestic accelerators can handle inference, but cutting-edge training remains difficult to achieve. Chinese laboratories are innovating in system efficiency, model architecture, training data, and reinforcement learning. DeepSeek has found a way to avoid GPU idle data movement, and ByteDance and Moonshot are set to release similar versions within months.In terms of architecture, training is shifting to cheaper digital formats that are compatible with domestic chips. Sparse architectures reduce the runtime per token, and the attention mechanism has been redesigned three times to control the memory costs of long context. In terms of data, denser prediction targets and better optimizers enhance the learning signal per token. In reinforcement learning, DeepSeek's GRPO has become the default recipe, with ByteDance, Alibaba, and MiniMax each launching successor plans within a year. Chinese models are now among the lowest-cost cutting-edge adjacent systems.On OpenRouter, the proportion of token consumption by Chinese developed models is expected to rise from less than 1.2% at the end of 2024 to the majority by 2026. The Chinese AI market is experiencing a price war from 2024 to early 2026, with several laboratories implying revenue multiples of about 47-117 times, while Anthropic and OpenAI are around 15-21 times. Huawei's Ascend chips are currently available for inference, and DeepSeek reportedly attempted to train R2 on Ascend but returned to NVIDIA after encountering technical issues. Domestic accelerator supply remains below estimated demand.
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