Peter Diamandis × Salim Ismail × Dave Blundin × Dr. Alexander Wissner-Gross

Dario Amodei proposes slowing frontier releases through employee-level third-party evaluators, lab coordination, and international bioweapons cooperation, while Alex Wissner-Gross calls the campaign a possible “safety cartel.”Anthropic reports biological-weapons cases and says it can no longer confidently assure models remain below the dangerous threshold, strengthening the case for mutual API testing while leaving cartel-like coordination unresolved.

卫诗婕 × 郑俊聪

祥峰中国四年不投DeepSeek、智谱、Kimi等大模型，转向AI for science与物理AI，新基金至少50%投具身智能。宇树以成本降一个梯级打开应用场景，量产一致性成为壁垒；中国供应链按周迭代与香港、内地上市，重塑Long China的创新与退出逻辑。

李翔 × 王华东

具身智能正经历中国投资史上前所未有的高估值融资潮，但王华东认为“贵不是问题”，关键在于能否交付有价值、产生毛利的产品。宇树在2021年B轮投前估值约7亿元时，已按出货量位居四足机器人全球第一；行业仍须警惕以更贵、更不可控的方案重做Rule-based已解决的问题，并观察Room-based落地与迭代能否兑现商业化。

Harry Stebbings

Jensen Huang’s AGI claim meets Rory O’Driscoll’s skepticism, while Fable 5.1 delivers Jason Lemkin’s first step-function coding experience since last year’s “three dot” models.Instinct’s quickly cloned WhatsApp distribution, $2.5B pre-revenue valuation, Wonderful’s $5B repricing, and Anthropic’s reported roughly $6B deal reversal expose a market where rule-breaking and capital access remain central.

Astra’s roughly 3x productivity on the same compute makes Jevin’s paradox tangible: lower AI costs could drive far greater usage, not weaker infrastructure demand.Its tenacious A-to-Z autonomy still takes shortcuts, leaving human engineers essential and preserving incentives to scale compute, memory, and energy.Amazon, Unity’s $18B entry, and trillion-dollar IPO filings frame catalysts; AI-driven margin gains in earnings calls are the efficiency signal to monitor.

ChatGPT-6 (“Astra ASI”) is rolling out to limited organizations as the panel treats AGI as present, with rivals potentially catching up within “the next 3 or 4 months.”Falling intelligence costs may make non-frontier models commodities, while real revenue fuels 1998-style euphoria; Nvidia’s prospective Hugging Face transaction could bolster open competition through cheaper sovereign compute, with regulation a key risk.

Tommy × AccelXR

Chinese labs are stabilizing multi-trillion-parameter MoE training and open-sourcing recipes that spread GRPO/RLVR variants within months.Open-weight price wars could make tokens an electricity derivative as China adds capacity 6x faster and co-designs weaker chips for cheaper serving.A 2028 Ascend model could be a catalyst, while possible export restrictions preserve bridge-demolition risk.

Patrick O'Shaughnessy × Sarah Guo

Sarah Guo says competitive open-source AI is already widespread, so US restrictions could handicap law-abiding American businesses while adversaries ignore them.Her roughly 250-person network sees recursive self-improvement and “some sort of exponential intelligence” as a one-to-two-year possibility, while Sunday Robotics targets home-robot beta by year-end.Compute independence, regulation, and physical supply chains remain constraints, while Chai Discovery’s $10 million contract and customer adoption test AI’s ability to capture value in biology.

David George × Gavin Baker

AI demand accelerated through July and August, with usage concentrated among possibly sub-10 million heavy users and no leader identifying a worsening quantitative metric.Nebius suggests nine-to-ten-month paybacks on $50B-per-gigawatt builds, supported by 50-60% customer prepayments; undersupply through ’28 could lift token prices, while shifting capacity to training could cut lab revenue from $480B to $120B.

Harry Stebbings × Eno Reyes

AI may be priced by outcomes rather than tokens, favoring open models for commodity work and proprietary post-trained specialists for high-value workflows.That challenges frontier-model TAM as Anthropic’s $2T framing depends on Claude Code amid fierce developer-tool competition, model lock-in and margin risk; watch whether the harness becomes the durable application layer.