@jerryjliu0: "a corollary is that information about product quality will become more important and impactful" This feels like the ne…

X AI KOLs Following News

Summary

讨论随着AI代理的普及,产品信息与质量评价将演变为新的SEO/AEO博弈场,公司会针对代理偏好的评测、基准与人类偏好进行优化,而真正客观的评测难以实现。

"a corollary is that information about product quality will become more important and impactful" This feels like the next evolution of SEO/AEO that every product will try to game. Even if agents do the equivalent of ~10 hours of research on a product, it's less important on whether the product is actually better vs. the agent's perception that the product is better. Agents might do deep research on evals and benchmarks; yet anyone who's worked on evals knows that it's hard to create a truly unbiased one that can universally measure product quality. They might optimize for human preferences, in which case companies will optimize for user reviews and feedback. Companies will optimize for whatever preferences the top AI models have been posttrained on.
Original Article
View Cached Full Text

Cached at: 10/12/26, 01:17 AM

“a corollary is that information about product quality will become more important and impactful”

This feels like the next evolution of SEO/AEO that every product will try to game. Even if agents do the equivalent of ~10 hours of research on a product, it’s less important on whether the product is actually better vs. the agent’s perception that the product is better.

Agents might do deep research on evals and benchmarks; yet anyone who’s worked on evals knows that it’s hard to create a truly unbiased one that can universally measure product quality. They might optimize for human preferences, in which case companies will optimize for user reviews and feedback.

Companies will optimize for whatever preferences the top AI models have been posttrained on.

Patrick Collison (@patrickc): Assorted things I’ve been mulling over regarding agents in the economy:

• Companies are in some sense the original superintelligence. It’s often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative

Similar Articles

@yibie: Recommend this: Hamel Husain—one of the world's most experienced AI eval practitioners—said: "It's hard to evaluate" is itself a product smell. If you don't provide users with inspectable intermediate artifacts, they'll redo your work to verify the output. Then what value does your product bring them?...

X AI KOLs Timeline

The article recommends and summarizes Hamel Husain's blog, pointing out that "hard to evaluate" is inherently a product design flaw. It advocates prioritizing the design of products that are easy for users to verify, and illustrates through three cases—an AI data analysis agent, a lesson plan generator, and a workplace injury report—how providing inspectable intermediate artifacts enhances product value.

@Ryrenz: Folks, you no longer have to fumble around blindly when evaluating AI apps. evals-skills lets a coding agent guide you through building an evaluation suite tailored to your product. evals-skills has 1,500+ stars on GitHub, and the project says this approach comes from helping over 50 companies with evaluations, …

X AI KOLs Timeline

evals-skills enables coding agents to help developers build AI application evaluation workflows tailored to their products, identifying failure modes before designing scoring criteria. It has earned 1,500+ stars on GitHub. The approach draws on experience conducting evaluations for more than 50 companies and training thousands of learners, and includes skill modules such as error-discovery and validate-evaluator.

How the Proxy Ecosystem Prevents the Spamming of Recommendation Information?

Reddit r/AI_Agents

The article discusses the risk of AI agents becoming channels for spam-like product recommendations and explores potential governance mechanisms, such as quality ratings and transparency requirements, to prevent the ecosystem from being polluted by low-quality or deceptive content.