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Sunday12 items

  4. rohan_paulOpinion
    AI score60

    English translation is being prepared.

    Quoted postRabi Shanker Guha · @rabi_guha

    ChatGPT launched their version of Generative UI yesterday. We took it apart tldr; the agent never write raw code. It emits DIL (a new language), the server compiles and streams it, the client renders it using a component set so that it feels native https://t.co/EzfM43fgkf

    #Product updates#Agents#OpenAI

  8. rohan_paulOpinion
    AI score51

    English translation is being prepared.

    Quoted postFrank Downing · @downingARK

    Recent work from SemiAnalysis estimates Anthropic could have 88% margins after compute costs for their inference business. That INCLUDES the "heavily subsidized" subscription business, which is still served at a 50% compute margin. But what about training costs? Even if you assume 70% of compute is going towards R&D, you still blend to a 60% company level margin. Add in your assumptions for data & talent costs and you can start to see how the market could be very wrong about frontier lab profitability and the sustainability of the AI buildout.

    #Industry news#Anthropic#English text is being prepared.

  9. HuxiuOpinion
    AI score55

    VC Money Is Chasing Entrepreneurs with Autonomous Driving Backgrounds, as Embodied Intelligence Investment Shifts Toward Commercialization

    ChinaVenture has reviewed recent embodied intelligence financing cases: Kunlun Xing Robotics completed three funding rounds in less than 90 days of its founding, with its valuation exceeding one billion US dollars, and the founders of new teams such as Feimo Yi Technology and Moqi Intelligence also mostly come from autonomous driving systems such as Huawei, Li Auto, and Horizon Robotics. The article points out that capital's focus has shifted from the general humanoid robot narrative to vertical scenarios, self-sustaining mass production, and data flywheels; meanwhile, investment cooled in the second half of the year, and investors are screening teams' mass production experience and capital structure more strictly.

    #Industry news#Embodied AI#English text is being prepared.

  10. HuxiuOpinion
    AI score60

    New jobs created by AI have raised the bar, and young people are losing the chance to gain experience in entry-level positions

    The article points out that among the 11 new occupations announced by the Ministry of Human Resources and Social Security in September, positions such as digital twin and embodied intelligent robot application mostly require an algorithm or programming background, while low-threshold data collectors earn only 3,500–6,000 yuan per month. A study by the Stanford Digital Economy Lab based on ADP payroll data found that in occupations with high AI exposure, the employment level of workers aged 22–25 is about 19% lower than that of their peers in occupations with low exposure, with the gap mainly coming from reduced hiring. A September report by the McKinsey Global Institute estimates that by 2035, about 11 million workers in the United States will need to change occupations, of whom about 14% have a direct transfer path with a relatively small skills gap.

    #English text is being prepared.#Agents#Embodied AI

Saturday9 items

  5. HuxiuOpinion
    AI score66

    $1.65 Trillion in Off-Balance-Sheet Commitments and a 166-Fold Token Price Gap: Three Endgame Scenarios for the AI Capital Game

    The author reviewed the financial reports of the five major U.S. tech giants and found that more than 85% of Alphabet's and Amazon's quarterly profits come from unrealized gains on equity investments; their combined off-balance-sheet long-term purchase and lease commitments total approximately $1.65 trillion, already exceeding on-balance-sheet liabilities. Capital expenditure by the five giants is projected at $769.2 billion in 2026, while annual AI application revenue is about $200 billion, leaving a gap of roughly 5 times. After comparing China-U.S. pricing, the author notes that OpenAI charges $30 per million output Tokens while DeepSeek charges only $0.18, a price gap of 166 times, and concludes that the most likely endgame is that one node runs into trouble first and the problem then propagates through the chain of cross-shareholdings.

    #English text is being prepared.#Industry news#OpenAI