Luca Ferrari × Molly O'Shea

Bending Spoons’ edge is an integrated operating model that standalone owners cannot economically reproduce.Its 50-plus proprietary technologies, nearly 1,000-person core team, and debt-funded permanent ownership support claimed annual savings above $100 million and $4 million revenue per core Spooner.Airtable’s approximately $1.3 billion enterprise value reflects the underwriting test, while AI startup valuations and unmeasured AI capabilities remain key risks to monitor.

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.

Harry Stebbings

Instinct’s $1B raise at a $10B valuation pairs minute-long latency with compute costs: 10M users paying $10 monthly imply a $1.2B annual burden.Jason’s reversal—from recommending the round to refusing it—alongside Miro’s $1.3B sale from $17.5B and Canva’s slowdown from 30% to 20%, highlights SaaS’s shift from revenue multiples to EBITDA.

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。

Harry Stebbings × David Morehead

David Morehead argues that fund multiples need a timeline: three six-year 3X growth-equity funds can compound to 27X versus 15X over 15–18 years.Baylor treats growth equity as its return engine, VC as diversification, and uses 10% market-decline increments while pricing cash at 8.5%.Software’s 50–60% selloff and permitted powered land offer differentiated opportunities, but permitting constraints and the unresolved AI adoption question remain key watchpoints.

David Senra × Luca Ferrari

Bending Spoons is a buy-to-hold-forever operator, producing $3B in run-rate revenue at 54–55% adjusted operating income margins through acquisitions and deep integration.Evernote's headcount fell from 350 to about 20, while revenue now exceeds $100M and product velocity is at least three times faster, demonstrating the operating model's leverage.Diagram and Alt Spooner point to further productivity gains, while fewer, larger deals and the unresolved IPO timeline remain important execution signals to monitor.

Jen Kha × David George × Aram Verdiyan

AI is making capital itself compound advantage, pushing venture’s power law beyond prior tech cycles as compute improves products and inference demand remains unlimited.Only 20 of 3,000 US VC firms produced consistent 3x net returns over two decades, supporting concentrated LP portfolios and 5–10%+ late-stage sizing in category-defining companies.Meanwhile, traction is harder to parse and pre-ChatGPT software LBOs face repricing, leaving diffusion, liquidity, and power access as key risks and catalysts.

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.