

The much-anticipated revenue data from Anthropic has finally been unveiled: Q3 revenue reached $16.8 billion, marking a nearly 46% month-over-month increase, with adjusted profitability achieved for the first time and free cash flow turning positive in the quarter. In the same period of 2025, this figure was only $787 million. By Q1 2026, revenue climbed to $4.73 billion, and by Q2 2026, it surged to $11.5 billion. Within just over half a year, revenue escalated from under $5 billion to $16.8 billion—exceeding previous levels within a single quarter.


I've spent considerable time tracking Robinhood and Canton Network. They're heading toward the same destination: placing real-world assets onto a programmable infrastructure accessible to users, but approaching from opposite ends of the market. Robinhood started from the retail side—it first amassed millions of funded accounts, then introduced tokenized assets, and finally opened its blockchain to developers. Canton began with institutional settlement, privacy, and regulated financial infrastructure. Only now is it beginning to open up more accessible rings to developers.


Guest: Taiki Maeda (Independent Researcher, Zcash Bull) Podcast Source: Taiki Maeda (https://www.youtube.com/watch?v=kBcJNSxAY5w) Original Title: How Zcash Flips Bitcoin Air Date: 2026-10-09 Key Takeaways II. Notable Insights III. Full Transcript 1. Conclusion First: Zcash Flips Bitcoin


Artificial intelligence agents will replace traditional interface agents, and native payment layers will reshape global fund flows


OpenAI's revenue model sparks market volatility, and whether AI commercialization can sustain continuous compute investment remains unproven.


Optimism takes over operations of multiple Ethereum Layer-2 chains, enhancing coordination efficiency but also deepening single-point dependencies; user asset security remains contingent on each chain's transaction, withdrawal, and upgrade mechanisms.


B.AI expands its multimodal models and upgrades its unified API, leveraging scale effects to reduce costs and accelerate the global expansion of Chinese large models.


Pearl claims that mining and AI inference can be merged into one, but in practice, miners still fill in random numbers with zero useful output.


Starknet's AI-driven threat announcement of potentially departing Ethereum to become a standalone L1 sparks 26% token price surge, yet remains purely narrative hype.


Decision models form a new competitive track within two weeks; domestic teams open-source localizations. StartLux claims public benchmarks exceed Jev.

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