Brian Elliott

Peter Diamandis × Brian Elliott × Salim Ismail × Dave Blundin × Alexander Wissner-Gross

Alphabet’s $109.9 billion quarter showed AI converting flat search volume into higher ad revenue, while Google Cloud grew 63% to $20 billion and vertical integration strengthened its position.Compute scarcity is shifting value toward chips, memory, energy and cooling, even as prerelease review, OpenAI’s monetization gap and enterprise deployment remain key risks to monitor.

Nathan Labenz × Brian Elliott × Sid Pardeshi

Blitzy’s wager is that orchestration can deliver “AGI-type effects” before standalone AGI by completing enterprise pull requests across massive codebases.Its relational code maps, execution-based validation, dynamic model selection, and multi-week autonomous runs target the effective context frontier below roughly 100,000 tokens, with 80–90% completion stated for typical workflows.Reaching 99% depends on stronger models, better specifications, test-time learning, and pricing that follows value rather than constraining inference.

Peter Diamandis × Brian Elliott × Emad Mostaque × Dave Blundin

Compute, power, and construction—not model demand—are becoming binding constraints as OpenAI’s 10-gigawatt plan represents roughly 4–5 million GPUs.Alphabet’s distribution, DeepMind talent, cash, and TPUs make it the strongest incumbent contender, while labor displacement, higher education, and tokenized assets remain major watchpoints.

Peter Diamandis × Dave Blundin × Alexander Wissner-Gross × Brian Elliott × Sid Pardeshi

Elon Musk’s potential $1 trillion Tesla award is framed as conditional economics: reaching an $8 trillion valuation, with his attention engine replacing automakers’ roughly 7% marketing spend.Meanwhile, AI’s projected $5 trillion-$7 trillion infrastructure cycle needs labor automation and transformative science to earn returns, while abundance may simply shift scarcity to new bottlenecks.Blitzy offers operating evidence beyond code-generation hype, reporting 86.8% on SWE-bench Verified, 80% automation on suitable projects, and roughly 5x development velocity; enterprise-scale validation remains the key test.