Unverified50% confidenceOpinionExact time
The proliferation of AI-assisted tools has significantly reduced the marginal cost of proposing research ideas and designing experimental plans, but the funding, time, and labor required to turn ideas into results (synthesizing molecules, culturing cells, etc.) have barely decreased.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedAI lowers the barrier to engineering implementation, not to scientific thinking; scientific judgment of experimental results and understanding of domain knowledge remain parts that AI cannot replace.78% similarUnverifiedThe marginal cost of serving with generative AI has fallen sharply (model training costs are fixed, and inference costs are amortized at scale), making it commercially viable for the first time to simultaneously serve tens of millions of small and micro enterprises.78% similarUnverifiedIn the era of widespread AI tools, the scarcity of ideas no longer exists, and delivering products quickly is more important than the ideas themselves.78% similarUnverifiedAI让科研的思考变得廉价，却没有让验证同样廉价，形成软件速度与硬件速度的根本性错配77% similarUnverified麻省理工学院2024年的研究表明，大多数被认为可被AI替代的工作在经济层面上尚未达到自动化的成本效益拐点77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/947580API
curl https://kongchang.com/api/v1/knowledge/claims/947580MCP
get_claim(id=947580)