Expired50% confidenceOpinionExact time
Different users who use the same AI tool over a long period will develop Agents with varying capability biases due to differences in feedback data distribution—designers' feedback tends toward visual aesthetics standards, while engineers' feedback tends toward code quality standards.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Codex and Claude Code Multi-Agent Collaboration: A Practical Guide to Team-Based Workflows
bilibili卡尔的AI沃茨6/5/2026
Related Claims
UnverifiedAI application products have a data flywheel characteristic — more users generate more interaction data, which in turn is used to fine-tune and optimize the model, forming a positive feedback loop.78% similarUnverifiedProviding AI with the same level of granular requirement descriptions as would be given to a human programmer—including acceptance criteria, user stories, and detailed ticket structures—yields better AI performance76% similarUnverifiedWhen evaluating AI coding tools, multiple integration methods should be tried, because the same model may perform completely differently under different integration approaches.76% similarUnverifiedAI agents are influenced by the user's historical development habits, and users with different backgrounds using the same tool will produce significantly different results.76% similarVerifiedWhen the same AI model is given prompts of different quality, the output results can differ by an order of magnitude.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/53315API
curl https://kongchang.com/api/v1/knowledge/claims/53315MCP
get_claim(id=53315)