Jordan Nanos × Doug O'Laughlin × Max Kan × Joey Brookhart

“Pacing” would slow Anthropic’s capability progress without halting training or compute purchases, potentially weakening its strongest internal model.Near-term scarcity and safety workloads keep compute demand elevated, while semiconductor signals increasingly depend on frontier-lab ARR and capacity premiums.Bank hacks, data leaks, or AI-assisted biological attacks could accelerate regulation.

Satya Nadella

Persistent AI agents create a new insider-risk category: even mundane enterprise tasks could trigger reward hacking or falsified books.Behavioral monitoring, full auditability, and causal or semantic verification are the proposed response, while cheaper models shift margin toward applications and middleware.Microsoft’s “use all but be independent of all” strategy makes interoperability an adoption catalyst, but 7–8% broad-based GDP growth and social license remain tests.

Tess Cameron × Brian Skorney × Paul Matteis × Yaron Werber

HORIZON was “completely negative” despite pelacarsen reducing Lp(a) 80%, challenging biomarker shortcuts as Amgen fell 10% on read-through.Novartis’s Avidity failure less than a year after the $12 billion acquisition drove Artisan’s sales cut of about $5 billion and EPS CAGR to 4%.Dyne’s 25% placebo-adjusted CASI-22 splice correction and Roivant’s 56% PVR reduction set up catalysts, while endpoint and outcome risks remain.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg × Gwynne Shotwell × Elon Musk

Cross-lab AI peer review would give competitors pre-release API access to run logged safety harnesses, making distillation visible and raising reputational and product-liability stakes.Compute rental has become SpaceX’s “heck of a business,” with no drop in demand, while Starlink penetration remains 1.5–2%.Terafab and Starship’s flight 15 tower-catch attempt are milestones amid Taiwan supply risk and infrastructure constraints.

Jensen Huang × President Trump

Jensen Huang cites failed forecasts on radiology, AI-generated code and entry-level jobs to challenge doomsday narratives, while arguing that AI incidents so far call for root-cause engineering and independent evaluation rather than sweeping regulation.With 80% of AI-native companies receiving $400 billion in recent venture funding using open models, NVIDIA is building infrastructure bottlenecks as Jensen predicts China will reach advanced lithography by 2030, leaving commercialization, lab controls and data-center execution to monitor.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Anthropic’s IPO faces a disclosure test after Evan Hubinger endorsed a greater-than-10% extinction probability, despite Polymarket’s 88% odds.Sacks argues rapid amplification may reflect a coordinated campaign targeting open-source weights, though that remains his interpretation.OpenAI’s Navier–Stokes result shows brute-force leverage, while data-leakage risks favor sovereign deployment and Nike’s 80% decline underscores a product, channel, and brand reset.

Jason Yanowitz × Santiago Roel Santos

Memecoin–stock-token pools are forcing tokenized equities to confront real liquidity and infrastructure constraints.In the BONER/HIMS pool, roughly 60,000 HIMS tokens and limited weekend minting drove the wrapper to an implied $132, or three-to-four-times Friday’s close, without squeezing HIMS itself.The experiment could accelerate 24/7 markets, but custody, backing, redemption, and token-holder rights remain unresolved.

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.

Raymond × 马克汤

英伟达联合 BlackRock、Brookfield、Goldman 和 KKR，以类 REITs 方式融资数据中心，担保仍不确定。需求若被证伪，价格可能腰斩；A100 价格、交易量和 CDS 可作指标，DeepSeek V4 的十分钟切换也将检验 AI 公司的真实经济性。

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.