Unverified50% confidencePredictionExact time
In the second half of AI competition, cost-effectiveness and computing power autonomy may be just as important as pure capability competition.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedIn the AI era, the cost of trial and error has decreased at the execution level, but the margin for error at the strategic level is smaller, because competitors are equally using AI to accelerate execution.80% similarUnverifiedThe competitive focus of today's top AI models has shifted from 'can it do it' to 'how elegantly and how well it fits the scenario' — i.e., presentation quality and scenario adaptability rather than pure intelligence level.79% similarUnverifiedThe core challenge of AI skill quality assurance is the probabilistic nature of outputs — the model samples the next token from a probability distribution at each step, meaning outputs may differ even when inputs are identical.79% similarUnverifiedThe decisive factor in the AI large model market is price rather than model capability.78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/913454API
curl https://kongchang.com/api/v1/knowledge/claims/913454MCP
get_claim(id=913454)