we found that AI agent performance drops substantially when scoring AI performance holistically rather than algorithmically.
「整体评分 vs 算法评分」的性能差距是一个深刻的警示：AI 在「有明确正确答案」的任务上表现远好于「需要人类判断质量」的任务。这意味着所有基于自动化评分的 AI benchmark，都在系统性地高估 AI 在真实工作中的能力。时间地平线数字本身也受制于这个局限——任何「可被算法打分」的任务，都比真实工作「更适合 AI」。
Endovenous ablation is contraindicated or relatively unsuitable when venous anatomy precludes catheter-based treatment, specifically: aneurysmal dilation of the GSV close to the saphenofemoral junction, subcutaneous location of truncal veins above the saphenous fascia and close to the skin, and significant tortuosity of the GSV or SSV. [1] In these scenarios, high ligation and stripping is recommended as the preferred alternative (grade 1 strong recommendation
https://www.caughtlooking.app/<br /> Caught Looking
New app launched opening day 2026-03-25<br /> found via https://www.reddit.com/r/BaseballScorecards/comments/1s3xlvl/i_built_caught_looking_a_live_scorecard_viewer/
How consumers would be expected to navigate this invisible, unofficial credit-scoring process, given that they’re never informed of its existence, remains an open question.
“It sure smells like the prescreening provisions of the FCRA,” Reidenberg told The Intercept. “From a functional point of view, what they’re doing is filtering Facebook users on creditworthiness criteria and potentially escaping the application of the FCRA.”
In an initial conversation with a Facebook spokesperson, they stated that the company does “not provide creditworthiness services, nor is that a feature of Actionable Insights.” When asked if Actionable Insights facilitates the targeting of ads on the basis of creditworthiness, the spokesperson replied, “No, there isn’t an instance where this is used.” It’s difficult to reconcile this claim with the fact that Facebook’s own promotional materials tout how Actionable Insights can enable a company to do exactly this. Asked about this apparent inconsistency between what Facebook tells advertising partners and what it told The Intercept, the company declined to discuss the matter on the record,
Is the 4C Mortality Score fit for purpose? Some comments and concerns. (2020). https://www.bmj.com/content/370/bmj.m3339/rr-3
credit scoring based on phone use and telco data
Branch Financial inclusion mobile banking credit Matt Flannery
financial inclusion startup
To conclude, the possibility of receiving a loan increases based on our experience. In some cases, we have even seen a drop in the interest rate. This results in more people receiving access to credit with a better interest rate thanks to increase of scoring model accuracy. We believe that designing systems from the start in discrimination-conscious way will reduce the risk of machine-learning algorithms introducing unintentional bias much like humans do. This should avoid the moral problem of discrimination. In addition, requiring drivers to pass an eye test discriminates against the blind, but eyesight is quite essential to safely drive a car. As the last exclusion is justified then loaning to people who are not creditworthy should be an acceptable exclusion as well.
big data scoring credit score financial inclusion
Open Source[edit] LightSide[43] EASE[44] - Published by EdX.
Open Source software for Automated Essay Scoring