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The Information reports OpenAI key sales executive Kaelyn Voss has resigned.
2026-08-22
The Information reports OpenAI key sales executive Kaelyn Voss has resigned.
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其他消息
2026-08-21
JP Morgan downgraded Pop Mart (09992.HK) to Reduce from Neutral and cut its target price to HK$120 from HK$165. The bank says Q2 was a structural inflection: revenue fell 11% YoY — the first quarterly decline since 2023 — marking a shift from hypergrowth to normalization. H1 revenue was RMB 17.2 bln, up 24% YoY but 11% below JP Morgan’s estimate. Overseas operating margin contracted 14 ppt YoY to 30%, adding pressure on H2 results. JP Morgan now forecasts Q3 revenue down >35% YoY and Q4 down ~20
JP Morgan downgraded Pop Mart (09992.HK) to Reduce from Neutral and cut its target price to HK$120 from HK$165. The bank says Q2 was a structural inflection: revenue fell 11% YoY — the first quarterly decline since 2023 — marking a shift from hypergrowth to normalization. H1 revenue was RMB 17.2 bln, up 24% YoY but 11% below JP Morgan’s estimate. Overseas operating margin contracted 14 ppt YoY to 30%, adding pressure on H2 results. JP Morgan now forecasts Q3 revenue down >35% YoY and Q4 down ~20%, saying its prior downside scenario has effectively become the base case as weak demand and deleveraging emerge.
2026-08-21
Aug. 21 — Chinese AI chipmaker Moore Threads founder Zhang Jianzhong said at the 2026 World Robot Conference that the embodied-intelligence sector is entering a ChatGPT-style inflection and that compute capacity is the critical constraint. Language models have passed the trillion-parameter threshold, and driven by scaling laws embodied-intelligence models are advancing from billions and tens of billions to hundreds of billions and trillions of parameters. AI compute clusters will expand from tho
Aug. 21 — Chinese AI chipmaker Moore Threads founder Zhang Jianzhong said at the 2026 World Robot Conference that the embodied-intelligence sector is entering a ChatGPT-style inflection and that compute capacity is the critical constraint. Language models have passed the trillion-parameter threshold, and driven by scaling laws embodied-intelligence models are advancing from billions and tens of billions to hundreds of billions and trillions of parameters. AI compute clusters will expand from thousands of accelerator cards to tens of thousands, and a move toward 100,000-card scale has become inevitable.
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