歐盟對 Google 的 24.2 億歐元的罰款確定

從「Google loses challenge against EU antitrust ruling, $2.8-bln fine」這邊看到的,新聞的標題寫的是換算後的美金。

新聞裡提到歐盟主要有三個主題在跟 Google 訴訟,這次確定的是利用搜尋引擎偏好自家的購物比較服務,產生不公平競爭:

Competition Commissioner Margrethe Vestager fined the world's most popular internet search engine in 2017 over the use of its own price comparison shopping service to gain an unfair advantage over smaller European rivals.

另外兩個還在進行的是 AndroidAdSense

The company could face defeats in appeals against the other two rulings involving its Android mobile operating system and AdSense advertising service, where the EU has stronger arguments, antitrust specialists say.

應該是還有個 YouTube 才對,不過印象中主要是版權相關的問題,跟 antitrust 這邊的關係好像少了一些...

在程式競賽得獎負面相關於工作的品質

2015 的文章以及演講,最近冒出來看到的。GooglePeter Norvig 提到了用 ML 的方式分析,發現程式競賽的成績與工作品質的負面相關性:「Being good at programming competitions correlates negatively with being good on the job」。

換句話說,程式競賽的成績反而是是個負面指標 (對於 Google 內的情況分析出來的,所以是基於 Google hiring process 的前提過濾過的)。

In this talk, Peter talked about how Google did machine learning and at one point he mentioned that at Google they also applied machine learning to hiring. He said that one thing that was surprising to him was that being a winner at programming contests was a negative factor for performing well on the job.

給了一些對原因的猜測:

Peter added that programming contest winners are used to cranking solutions out fast and that you performed better at the job if you were more reflective and went slowly and made sure things were right.

YouTube 的留言處也有一些猜測,像是:

What he's talking about is the fact that several extremely important parts of software engineering are not included in these contests, for example code reusability, maintainability, decomposition of the problem using the OO paradigm, etc. All of these make a good engineer, but are not necessarily needed in competitive programming contests.