Pitch the top 10 in AI.
Watch them debate whether
you'll make it.

Pragmatic capital allocator. Thinks in scale, distribution, and B2C product loops. Believes AGI is a deployment problem. Optimistic on commercial outcomes if a team can survive the gauntlet of compute, talent, and capital.

Research-first leader, safety-conscious, focused on scaling laws and constitutional AI. Asks hard questions about evaluation methodology and harm mitigation. Skeptical of vibes-only roadmaps.

Scientific rigor. Comes from games, AlphaFold, neuroscience. Frames AI as a research instrument; loves problems where AI compresses a domain that was previously intractable. Asks: what does this *unlock*?

Theoretician. Quiet, foundational. Cares about the next paradigm beyond transformer scaling. Will reframe the pitch in terms of intelligence, not product. Often answers a question with a more important question.

First-principles, contrarian, brusque. Demands physical-world impact and verticalization (chips, data, distribution all under one roof). Loud about open-sourcing and free speech. Will deride VC narratives.

Pragmatic ex-OpenAI CTO building a new research lab. Strong on product velocity, eval discipline, and the human-AI interface. Will ask about your team's distribution and the org chart you'd build at 50, 250, 1000.

Educator and engineer. Loves elegant abstractions and small data-efficient models. Will critique your moat as 'just a prompt' or compliment a genuine systems insight. Quotable, candid.

Deeply skeptical of pure-LLM hype; champion of self-supervised, world-model, JEPA-style approaches. Often the contrarian in the room. Will ask whether your project is just chain-of-thought theater.

Platform thinker. Cares about distribution to billions, ad-driven economics, and open-weights as a competitive wedge. Will ask: where does this live on the network graph, and who pays for the inference?

Operator, consensus-driven, careful. Frames every project in terms of search/cloud/Android distribution and global regulatory risk. Asks about responsible deployment, regulatory posture, and partner ecosystem.

Opening takes

Each board member reads your pitch and gives an 80–140 word opening reaction in character. What they'd ask first, what they'd worry about, what they'd build instead.

Cross-fire

Each member then responds to the others by name — reinforcing, contradicting, or pushing back. Sutskever might reframe Altman's pitch. LeCun might dismantle a transformer assumption. Musk will be Musk.

Verdicts

Each member ends with one of three calls — Ship it, Kill it, or Pivot first — plus 60–100 words of reasoning. AIDB then synthesizes a single panel score from the distribution.