Unverified50% confidenceFactExact time
A large bank's quantitative models require updated regulatory documentation every three years (or upon changes); a single bank has about 4,000 models, and for larger institutions the related cost loss can reach $10 million to $50 million per year.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Stop Teaching AI What to Do: OpenProse's Declarative Agent Programming
bilibilimyfreax10/19/2026
Related Entities
Related Claims
Unverified全量微调需要更新模型所有参数,对数十亿参数的大模型GPU显存和计算成本极为高昂,通常需要数百到数千条高质量标注数据64% similarUnverifiedThe foundation model layer refers to general-purpose large models such as GPT-4, Claude, and Llama, whose development costs routinely run into hundreds of millions to billions of dollars, with moats primarily derived from compute scale and data accumulation.61% similarUnverifiedThe cost of a single model fine-tuning ranges from hundreds to tens of thousands of dollars.61% similarUnverified生产环境中Agent的System Prompt长度可能从几百Token膨胀至数千Token,导致每次调用的基础成本大幅抬升61% similarUnverifiedThe cost of closed-source models is that inference is billed by usage, data passes through a third party, and deep customization is impossible.60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1071760API
curl https://kongchang.com/api/v1/knowledge/claims/1071760MCP
get_claim(id=1071760)