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The platform must be both a programming language and a theorem prover, with code and proofs in one system, with no translation gap. It needs a rich and extensible tactic framework that gives AI structured, incremental feedback: here is the current goal, here are the hypotheses available, here is what changed after each step. AI must control the proof search, not delegate to a black box.
As for revenue, OpenAI has forecast a massive loss of $14 billion in 2026. It lost around $5 billion in 2024 and reports estimate a loss of $8 billion in 2025. Despite this trajectory, the company claims it'll be raking in $100 billion in revenue by 2029.