利用 Smart TV 監控的技術也成熟了...

透過 WikiLeaks 公開出來的文件得知 CIAMI5 都已經有能力將後門埋入 Samsung 的 Smart TV 內:「The CIA Spied on People Through Their Smart TVs, Leaked Documents Reveal」。

Hackers at the Central Intelligence Agency, with the help of colleagues from the British spy agency MI5, developed malware to secretly spy on targets through their Samsung Smart TVs, according to new documents published by WikiLeaks.

這個後門在 Fake-Off 模式中仍然可以繼續運作:

The malware was designed to keep the smart TVs on even when they were turned off. This was dubbed "Fake-Off mode," according to the documents.

甚至可以控制 LED 燈,讓被監控人無法得知現在 Smart TV 其實還在運作中:

The CIA hackers even developed a way to "suppress" the TVs LED indicators to improve the "Fake-Off" mode.

突然想到該找時間複習 1984,裡面描述的概念現在在生活週邊愈來愈多了...

假新聞產生器與偵測器

Hacker News 上看到的消息,是關於「使用類神經網路產生新聞」(也就是透過程式大量產生假新聞),這次的結果包括了「產生」與「偵測」兩個面向:「Grover – A State-of-the-Art Defense Against Neural Fake News (allenai.org)」。

實驗的網站在「Grover - A State-of-the-Art Defense against Neural Fake News」這邊,另外也有論文「Defending Against Neural Fake News」可以讀。

幾個月前,OpenAI 利用類神經網路,研發出「自動寫新聞」的程式,當時他們宣稱因為效果太好,決定不完整公開成果:「Better Language Models and Their Implications」,中文的報導可以參考 iThome 這篇:「AI文字產生技術引發假新聞爭議,OpenAI決定只公開部份技術成果」。

而現在 The Allen Institute for Artificial Intelligence 則是成功重製了 OpenAI 的成果,取名叫 Grover,發現訓練出來的模型除了可以拿來寫新聞外,也可以拿來偵測文章是不是機器產生的,而且就他們自己測試,辨識成功率還蠻高的:

To study and detect neural fake news, we built a model named Grover. Our study presents a surprising result: the best way to detect neural fake news is to use a model that is also a generator. The generator is most familiar with its own habits, quirks, and traits, as well as those from similar AI models, especially those trained on similar data, i.e. publicly available news. Our model, Grover, is a generator that can easily spot its own generated fake news articles, as well as those generated by other AIs. In a challenging setting with limited access to neural fake news articles, Grover obtains over 92% accuracy at telling apart human-written from machine-written news. Please read our publication for more information.

不過看起來 source code 與 model 還是沒放出來,但看起來遲早會有對應的 open source clone...

我想到在攻殼電視動畫裡面的情報管制戰,雖然電視動畫裡沒有講得很詳細,但感覺這類工具就是其中一環...

MySQL GTID Replication 的惡搞修復

Percona 的「Database Daily Ops Series: GTID Replication」這篇在講當 MySQL 的 GTID Replication 爛掉時可能的修法,算是頗惡搞的方法,修好後還是要跑 pt-table-checksum 確認兩邊的資料是否一致,如果有狀況的話還是得拿出 pt-table-sync 同步。

第一招是用 pt-slave-restart,跳過會造成問題 SQL,讓他強制同步 (唔):

This passes the master’s UUID and it skips all global transactions breaking replication on a specific slave server[.]

第二招是 mysqlslavetrx,也是類似的作法,只是拿的是 MySQL 官方的工具來惡搞...

第三招是 Inject a Fake Transaction,其實就是手動自己做 XDDD

所以不管是哪招,做完後還是要記得跑 pt-table-{checksum,sync} 收尾,不然還是會爛掉...

估算五毛黨所發表的評論數量

Bloomberg 上看到「China Fakes 488 Million Social Media Posts a Year: Study」這篇在討論中國五毛黨在網路上洗言論的數字。原始論文在「How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, not Engaged Argument」這邊。

這篇論文估算大約有 200 萬人產生了 4.88 億的評論:

The Chinese government has long been suspected of hiring as many as 2,000,000 people to surreptitiously insert huge numbers of pseudonymous and other deceptivewritings into the stream of real social media posts,

We estimate that the government fabricates and posts about 488 million social media comments a year.

這個估算頗有趣的... XD