AI x Crypto Dynamic Research

In this wave of AI, capital is clearly more inclined to pay a premium for segments that have real orders, visible supply bottlenecks, and quantifiable profits, which also puts the Crypto AI narrative under more direct scrutiny regarding the certainty of value realization.

He Yi elaborates on Binance's All in AI strategy: using AI to lower the financial usage threshold, promoting the expansion from trading to wealth management, payments, and financial management. Emphasizing security, data, and continuous investment as core barriers (with a net investment threshold of one hundred million dollars per year), and proposing a vision for personalized, conversational products to achieve financial equity, while reiterating the business logic of earning revenue through transaction fees and not gambling against users.

Goldman Sachs Chief U.S. Equity Strategist Ben Schneider and TMT expert Pete Callahan pointed out that the AI investment narrative is shifting from semiconductor capital expenditures to application layers such as "inference economy" and personal intelligent agents. Callahan bluntly stated, "Programming AI is no longer a market secret," and the market is urgently looking for the next AI story. The current market breadth is the narrowest since the dot-com bubble, with the median S&P stock down over 15% from its peak, but Goldman Sachs still maintains its fundamental judgment that the market will rise by the end of the year.

Anthropic counts cloud sales based on "gross amount," while OpenAI only counts the "net amount" from revenue sharing. This difference in accounting standards has directly triggered a decline in tech stocks. Even more astonishing is that the highly touted "annualized revenue" is greatly inflated; OpenAI's actual revenue is expected to be only half of that figure. Anthropic's actual revenue also shows a nearly 50% discrepancy from the reported numbers.

A team of just over 20 people has raised $870 million in funding, with a valuation soaring to $7.5 billion. The AI dark horse TypeSafe received heavy investment from a16z. Its core product Jev disrupts the logic of large models, "not writing text, but making decisions," and within weeks of launch, it captured one-third of the Fortune 500 and achieved profitability.

Google Cloud announced the launch of the Gemini Universal Work Agent at the "Gemini at Work 2026" conference, positioning it as a general-purpose AI agent for enterprise work. The product aims to allow users to directly access internal business information, tools, and systems through a unified prompt window to complete various work tasks.

Ambition should be extremely large, and Ego should be extremely small.

Vitalik expects Ethereum transactions to be cheaper and more private, and AI will further integrate with on-chain applications.

An evil person at least has the ability to carry out their will and achieve their goals.

How to enable excellent researchers to play a role in the organization after bringing them in?