All-In

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.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

A US ban on Chinese open-source models could impose a 50-100x AI input cost premium on domestic developers while failing to stop distillation, creating a policy-driven “token tax.”With models reportedly matching published performance within weeks, 95% of real work may be served by many models, shifting durable value toward applications, clouds, and chips while Anthropic’s $1.5 billion settlement leaves training legality unresolved.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Anthropic’s Fable 5 pairs benchmark leadership with 30-day retention, profiling, and user-specific downgrades, making access an enterprise-governance risk.Restrictions are pushing Ohalo toward local open models, while power costs rose from roughly $4 billion–$5 billion per gigawatt to $100 billion.May CPI at 4.2% and PPI at 6.5%, plus Iran-driven energy risk and disputed Los Angeles ballot patterns, leave macro and institutional trust unresolved.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Elon’s reported lease of Colossus 1 gives Anthropic more than 220,000 NVIDIA GPUs and 300 MW, turning compute scarcity into hyperscaler revenue while xAI moves to Colossus 2.Anthropic’s rapid ARR growth and hyperscaler demand support the AI infrastructure trade, but OpenAI, Google and xAI are responding; monitor whether enterprise buyers prove measurable ROI within roughly 500 days and whether cyber regulation remains targeted.

David Friedberg × Shyam Sankar × Trae Stephens

US military power is increasingly constrained by factory capacity, with Ukraine consuming “10 years of production in 10 weeks,” a 10,000-to-one drone gap, and a 223x shipbuilding disadvantage versus China.Anduril’s five-million-square-foot Arsenal-1 is designed as a modular manufacturing platform for attritable systems, addressing the economics of replacing $2 million interceptors with $20,000 drones.The high-low mix may shift massively over five to 10 years, but Stephens estimates roughly 18 months even with unlimited cash to establish a sustainable industrial base.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg × Brad Gerstner

Brent’s swing from $84 to $119 and back toward $100 pushed Goldman Sachs’ PCE forecast from 2.1% to 2.9% and GDP growth down 30 basis points, while oil’s fall to $90 suggested a short disruption.AI revenue is accelerating as Opus 4.6 and ChatGPT 5.4 shift spending into labor budgets, but durable demand remains disputed amid canceled data centers and backlash.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg × Emil Michael

Iran is framed as a “weeks, not months” disarmament campaign, while disrupting Iranian and Venezuelan oil flows could create leverage over China in a broader April grand bargain.Defense procurement is shifting toward fixed-price, mass-attritable systems—LUCAS drones cost roughly $50,000-$80,000—while the Anthropic rupture underscores model-control risk and the need for multi-model redundancy, domestic inputs and manufacturing capacity.

Howard Lutnick × Chamath Palihapitiya

Howard Lutnick forecasts U.S.GDP growth in the “fives” and potentially “sixes” if rates fall, tying the outcome to $18 trillion of pledged investment, new construction, tariff revenue, and domestic capacity in strategic industries.His industrial-policy mechanism exchanges market access for financing, reshoring, drug-price concessions, semiconductor capacity, and government equity, while execution risk remains concentrated in unverified forecasts, trade negotiations, and the timing of factory investment.

Roelof Botha

Botha argues venture is “return-free risk” in aggregate: $150–200 billion invested annually would require $700–800 billion of distributions and more than $1 trillion of exits under a 12% net-return assumption.Sequoia responds by keeping funds no larger than five to seven years ago and targeting net IRR over maximum fees, while China’s cited 98% formation decline highlights regulatory uncertainty as a startup-market risk.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

AI’s 10% correction looks like a sentiment reset, not a busted supercycle, after GPT-5 missed its “Death Star” expectations.With 95% of pilots failing production, specialized back-office systems and smaller models could redirect value and improve data-center ROIC through 10x–100x efficiency.Meta’s hiring pause signals digestion, while Newsom’s 2028 lead and a proposed Ukraine settlement leave political and geopolitical outcomes unresolved.