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Monday5 items

  1. HuxiuOpinion
    AI score65

    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.

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

  2. HuxiuOpinion
    AI score60

    Qin Shuo: All 243 2B software companies on the A-share market are losing money industry-wide—how much longer will China's software industry keep losing money?

    Citing data, Qin Shuo says that the revenue of 243 2B software companies on the A-share market grew only 7.9% from 2021 to 2025, while non-recurring net profit swung from a profit of 17.89 billion yuan to a loss of 17.68 billion yuan, with 64.7% of companies operating at a loss. The article attributes the causes to a cultural habit of valuing hardware over software, a low-margin model dominated by project-based work, lowest-price bidding (a project in one province with a budget of 7.672 million yuan was awarded for 10 yuan), and repeated construction by the digital technology subsidiaries of central and state-owned enterprises squeezing out market-oriented vendors. The author proposes breaking the deadlock in four areas: comprehensive bid evaluation, productization plus subscription models, fair market access, and cost reduction through AI agents, and gives the example of an enterprise that used agents to shorten custom delivery cycles to about one week and cut costs to 1/5 to 1/10 of the original.

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

  5. Fortune TechOpinion
    AI score57

    Nvidia Joins Six Major Financial Institutions to Build a $500 Billion+ AI Financing Platform

    In August, Nvidia teamed up with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish a financing platform that can mobilize more than $500 billion for AI infrastructure companies. The author, Mehran Gul, argues that the key variable in the AI race is shifting from models and chips to financing capability; the five major US cloud providers are expected to spend $730 billion in capital expenditure in 2026, with up to one-third of that funded by debt issuance. The article also notes that Europe has about €10 trillion in household savings but lacks channels to convert savings into investment, while China faces the problem of computing power sitting idle after it is built.

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

Sunday28 items

  1. Shao MengOpinion
    AI score52

    Stripe Chief Design Officer Katie Dill on How to Use AI to Scale Intent, Quality, and Artistry

    In her talk at Lenny's Summit, Stripe Chief Design Officer Katie Dill argued that using AI only to do existing things faster misses the most interesting part, and that we should raise the ceiling across four dimensions: point of view, standards, editing, and creativity. She identified three warning signals—LLMs naturally gravitate toward the mean, a sense of completion is seductive, and work becomes disposable—which, when combined, produce monotonous, hollow zombie UI. Stripe's practice evolved from using MCP to let AI read design docs to building a CLI on top of the design system, injecting docs at the right moment to avoid context rot, and upgrading content from atomic components to full templates and flows.

    Quoted postKatie Dill · @lil_dill

    If we only use AI to make the things that we already make, just faster, then we're definitely missing out on the most interesting part. From my talk at @lennysan’s Summit, here are four ideas for raising the ceiling, not just the floor: - Have a point of view [5:38] - Encode your standards into the machine [9:07] - Don't confuse done with good [12:21] - Unleash creativity and artistry [16:19] Full talk here: https://t.co/E3fvBWWtHs

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

  2. shao_mengOpinion
    AI score60

    English translation is being prepared.

    Quoted postSemiAnalysis · @SemiAnalysis_

    GLM 5.3’s biggest leap came from post-training alone. “GLM 5.3 was built entirely by post-training the previous model. For me, that was a wake-up call.” “Post-training is far more GPU-efficient than pre-training from scratch. Plenty of companies can’t afford to train a model from scratch, but they have proprietary data. They can post-train themselves and beat some of the closed models.” “There’s still so much juice left to squeeze from post-training. We compared GLM 5.3’s cyber capabilities with 5.2, and it’s a night and day difference. That’s all just post-training.”

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

  4. rohan_paulOpinion
    AI score55

    English translation is being prepared.

    Quoted postRohan Paul · @rohanpaul_ai

    Anthropic’s junior share of technical headcount slid from 21% to 14% while the company tripled in size, and about a third of Anthropic’s ML managers and a fifth of its SWE managers said AI has them hiring less. During the same time its agents logged 6x human hours. https://t.co/jBpoeyPvv8

    #English text is being prepared.#Anthropic

  7. AYi AI NotesOpinion
    AI score52

    Claude cracks the mystery of the P-256 elliptic curve seed origin in half an hour

    AYi AI Notes relays that Claude cracked, in under half an hour, the mystery of the random seed origin of the P-256 elliptic curve that had puzzled the cryptography community for 26 years; the seed was not a backdoor, but the 1,842nd candidate produced in timestamp order by an engineer in 1997 calling the C language lrand48 function. The author stresses that this is not an attack on the mathematical principles of encryption, bank accounts and encrypted communications need no changes, and the related bounty has doubled to $36,864 and been donated to an open-source security foundation. The author believes this event demonstrates the model's reasoning ability to piece together clues across programming habits, compiler characteristics, and mathematical verification.

    Quoted postAYi · @AYi_AInotes

    English text is being prepared.

    Same story · 8 reports

    #English text is being prepared.#Anthropic#Safety / alignment

  15. dongxi_nlpOpinion
    AI score56

    English translation is being prepared.

    Quoted postspicylemonade · @spicey_lemonade

    Anthropic is on track to stop hiring technical juniors by 2027 https://t.co/uxp4JkOE7S

    #English text is being prepared.#Agents#Anthropic