Astra 之外的真实瓶颈：任务成本、企业交付、数学验证与太空网络

Strong results in one creative tool do not automatically establish that the same agent can handle every neighboring workflow.

A more expensive model per token can still be cheaper per completed task if it uses fewer attempts and less total computation.

Aggregate job growth can coexist with losses in particular sectors, so headline employment numbers cannot settle the AI displacement debate.

A product's promised specifications, demonstrated behavior, and delivered customer experience are different kinds of evidence.

A strong technology cycle can concentrate capital in large brands while making fundraising harder for smaller emerging managers.

Paper valuation gains do not replace realized liquidity, and investors need transparent ownership and comparable valuation practices.

Enterprise deployment can generate reusable products when common capabilities are separated from customer-specific integrations.

Partial formal verification can secure important components and create a foundation for further optimization without proving an entire system at once.

Correctness, reusable proof code, and mathematical significance are distinct standards that remain important even when AI can generate proofs.

When launch capacity is constrained, satellite operators can gain value by increasing contact time, throughput, and the reliability of existing assets.