Nvidia is worth $5T because the world realized inference is the new oil. If Etched’s chips are meaningfully better than Nvidia’s for inference… What is Etched worth? This is a worldview-shattering event.
ECONOMY
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X402 enables AI agents to buy tools through per result micropayments
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AI agents could already plan and call APIs; now they can also pay for what they need. x402 allows them prepaid, pay-per-result micropayments in USDC on Base. For about a dollar, an agent can pull roughly 350 Google Maps listings, 430 Instagram profiles, or 110 trending TikTok
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Commentary compares Cybercab operating costs with human driven rides
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One of these costs a few dollars an hour to operate. You add a human, and the cost goes up to more than $20. And that's wholesale, which you triple the price for retail. That is why an Uber for an hour drive is usually $60-$100, somewhere around there. The Cybercab will
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Commentary says token consumption cannot resolve business bottlenecks beyond engineering
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Most companies will not benefit from tokenmaxxing because engineering is not the bottleneck anymore. Spotify, Netflix, Airbnb and Uber have all graduated from being 'tech companies' to industry leaders. This means they are now bottlenecked by demand, supply, pricing – all the
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Commentary links frontier model restrictions to perceived Nasdaq risk
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Faites attention à votre portefeuille boursier
— Docteur Laurent Alexandre (@dr_l_alexandre) 30 juin 2026
La stratégie de Trump qui bloque les meilleures IA associée aux énormes progrès des IA chinoises conduit inévitablement à un Krach au NASDAQ
Prendre une IA chinoise fait faire d’immenses économies https://t.co/3STznYuZuZWatch out for your stock portfolio. Trump’s strategy of blocking the best AIs, combined with the huge progress of Chinese AIs, inevitably leads to a Nasdaq crash. Choosing a Chinese AI brings enormous savings. [Traduit de FR vers EN]
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Commentary links US frontier restrictions to adoption of Chinese open models
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Since Trump blocked the world’s most powerful AI models, Claude Mythos and Fable5 as well as ChatGPT 5.6, many American companies have been switching to Chinese AI models that are extremely economical and open source. Trump is the Chinese people’s useful idiot. [Traduit de FR vers EN]
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Commentary treats enterprise AI token spend as organizational research investment
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Token spend is not just about productivity, it also organizational R&D, an investment in figuring how to rebuild around AI that will involve some failure & adaption.
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Commentary links organizational token costs to workflow and AI governance
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A big reason that token costs become an issue in organizations is leadership is not making decisions about how to use AI, the processes that need to change as a result, & how to think about multiplayer use. Solving it by rationing intelligence first is a pretty blunt strategy
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Sierra discusses outcome pricing versus usage pricing for AI agents
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Selling a membership or closing a car sale? Outcome-based pricing makes sense. The value is real and measurable.
— LangChain (@LangChain) 29 juin 2026
Answering a knowledge lookup? Usage-based is simpler and probably right.@zackrw from @SierraPlatform on how AI pricing should actually map to value delivered. pic.twitter.com/XveYoWBP6eSelling a membership or closing a car sale? Outcome-based pricing makes sense. The value is real and measurable. Answering a knowledge lookup? Usage-based is simpler and probably right. @zackrw from @SierraPlatform on how AI pricing should actually map to value delivered.
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Commentary compares local model hardware costs with cloud subscriptions
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So you’re break-even after around 2.5 years compared to a sub. Flash compares to Sonnet/Terra which is close to unlimited use. They are cool devices tho, and being able to run everything locally is great. Not an economical case but neat for research.