Unverified50% confidenceFactExact time
Current AI systems give different answers when the same question is asked twice, and their randomness is essentially in tension with the reproducible, predictable output that production scenarios require.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Is the AI Honeymoon Over? Cold Reflections Sparked by a Hacker News Hot Post
hackernewshackernews10/15/2026
Related Entities
Related Claims
UnverifiedAI模型输出具有随机性,即使配置完全相同,同一prompt在不同时刻的输出也可能不同77% similarVerifiedAI systems reason probabilistically, meaning the same input may produce different outputs, and the reasoning process is typically a black box.74% similarUnverifiedWhen the number of iteration rounds increases, AI may introduce new problems due to contextual misunderstanding, and basic troubleshooting capabilities are still required at that point.72% similarVerifiedIn AI image generation, the same prompt combined with different random seeds produces drastically different results, making it difficult for creators to precisely control the final output.71% similarUnverifiedTraditional AI generation tools typically make a single model call, where the model returns one result after the user inputs a prompt, making the process linear and one-time.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1034518API
curl https://kongchang.com/api/v1/knowledge/claims/1034518MCP
get_claim(id=1034518)