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The iPhone Duo that sold out in one minute exposes Apple's foldable screen production capacity shortfall

The iPhone Duo opened pre-orders at 8 p.m. on October 16, with inventory across all channels selling out within one minute, over 3 million reservations on JD.com, official website shipments scheduled as late as January 2027, and industry estimates that first-batch volume across all channels does not exceed 200,000 units. The article attributes the shortage to the 0.01-millimeter-level tolerances of the self-developed hinge, industry yields for foldable OLED panels of less than 70%, and whole-device assembly yields of just over 60% as of September 17. Counterpoint expects Apple to reach second place globally in its first year with up to 6 million units and a 25% share, while Huawei drops to third with about 5 million units and 22%, and global foldable shipments in 2026 are expected to grow only 0.5% to 20.2 million units.

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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.

OpenAI Team Responds to Computer Use Progress Doubts, Recaps One-Week Sprint on Decisions API

In a podcast after OpenAI DevDay, Ari Weinstein, who is in charge of the Computer Use agent, responded to Dwarkesh's doubts about Computer Use progressing slowly, saying it is now completely different from a few months ago because the model has become better at debugging and retrying, and can write JavaScript to execute multiple steps at once while combining screenshots, accessibility, DOM, and Playwright. He also mentioned that Dots provides each Dot with a cloud Linux virtual computer, and that Computer Use has entered the Agents API. Nikunj Handa, head of the OpenAI API team, introduced updates to GPT-6 such as asynchronous tool calling, mid-turn steering, WebSockets, UltraFast inference, prompt caching and pre-warming, and compaction, and said the Decisions API is based on Luna weights, with no new model trained, and took only about a week from the emergence of the idea to a prototype.

After Meta's personal agent Muse went viral, who is most likely to build a Chinese version of Muse

Meta's personal AI agent Muse launched on September 8, surpassing 2.5 million downloads in 13 days, with 642,000 daily active users on the US mobile end, nearly 3 times that of ChatGPT in its early launch period; on September 21, Meta's market value rose by more than $190 billion in a single day. The article benchmarks domestic players across four items—entry point, payments, ecosystem, and execution capability—arguing that Tencent's Xiaowei has the most similar foundation but is constrained by WeChat's boundaries, Alibaba's Qwen is closest to transactions but lacks lifestyle scenarios, and ByteDance's Doubao phone relies on simulated operations and faces platform risk controls; in the short term, it is more likely that butlers within each ecosystem will coexist.

TypeSafe CEO Diogo Almeida on Jev: Building a System One Model for Production, Not for God

InstructGPT paper author and TypeSafe CEO Diogo Almeida detailed his new model Jev on the Latent Space podcast, describing it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback. He criticized RLHF for causing mode collapse, sycophancy, and hallucinations, arguing that safety alignment suits products like ChatGPT but fragments intelligence at the API layer, and said TypeSafe would rather be seen as a data lab, refusing to publish benchmark tests. He revealed that Jev's daily token consumption has exceeded one trillion since launch, and previewed follow-up models such as ReasoningJev.