65% is incredibly low.

Clearly, cutting edge deepfake methodologies have gotten amazing. https://t.co/0FIIEgNlwX

— Jeremy Banon (@jeremybanon) June 12, 2020

Want to find #deepfakes?

Don't count on #AI to help you https://t.co/WCNAhQtlXY #fintech #insurtech #CyberSecurity @jeremyakahn #ArtificialIntelligence #MachineLearning #DeepLearning #Facebook @missdkingsbury @Shirastweet @sallyeaves @psb_dc @jblefevre60 @andi_staub @efipm pic.twitter.com/oRl8lm3zq8

— Spiros Margaris (@SpirosMargaris) June 12, 2020

If you want to nerd out there's a lot of interesting detail here: https://t.co/m5SedvUZ24

— Mike Schroepfer (@schrep) June 12, 2020

I was pretty frustrated by the amount of time the ML industry spent making deepfakes better compared to the time spent combating the harm they could create. So we used a competition plus open science to spur more focus. https://t.co/qDXm62XPDu

— Mike Schroepfer (@schrep) June 12, 2020

페북에서 개최한 딥페이크 감별 알고리즘 컨테스트에서 최고점을 받은게 65.18% 감별. 2114명의 참가자가 35,000 알고리즘을 제출, 3천명이 배우를 고용해 연기한 10만개의 비디오를 일부 변형해서 시험한 결과. 페북은 컨테스트와 별개로 자체 알고리즘을 마련중이라고. https://t.co/RcDpfbrVI1

— 푸른곰 (@purengom) June 12, 2020

Facebook contest reveals deepfake detection is still an "unsolved problem" https://t.co/9tGI3S9nBm pic.twitter.com/r2PHW8eW0J

— The Verge (@verge) June 12, 2020

The #DFDC competition has ended! Almost 1 year of hard work to push forward the detection of #DeepFakes. Congratulations to all the participants and, in particular, to the top-5 winners. https://t.co/4bqXeLJnL3

— Cristian Canton (@cristiancanton) June 12, 2020

Facebook’s deepfake detection challenge shows how hard these fakes still are to spot https://t.co/ShTUJC439O

— Jennifer Ouellette (@JenLucPiquant) June 12, 2020

There is never going to be an algorithm that can tell deepfake from real content without context.

When we at @pex looked at the problem, the solution is quite obvious. Rather than focusing on the content itself we focus on where it comes from and how it spreads over the internet https://t.co/ZV3eScO6ze

— Rasty Turek (@synopsi) June 13, 2020

Surprising amount of "this is fine" in this article about how the winning algorithm in a competition could only detect deepfakes with an average accuracy of 65.18 percent. 65.18%!!!

I'm bad at maths, but that's not enough percents.https://t.co/VmWR7QJB3j

— evelyn douek (@evelyndouek) June 13, 2020

Facebook CTO: "Deepfakes are currently not a big issue. But the lesson I learned the hard way over last couple years is not to be caught flat-footed." https://t.co/RJAJkwCnqX

— Will Douglas Heaven (@strwbilly) June 12, 2020

It's relatively easy to fool AI models designed to detect fake videos called deepfakes, a competition run by Facebook, Amazon, Microsoft and big-name universities found. That's too bad for US elections. https://t.co/DOvmw9yw5K

— Stephen Shankland (@stshank) June 12, 2020

2,114 participants around the globe entered the Deepfake Detection Challenge. We’re now sharing the winning models and insights from this first-of-its-kind open initiative to address the challenge of deepfake videos and images. https://t.co/aa6KToz1o5 pic.twitter.com/b22cKXY6CA

— Facebook AI (@facebookai) June 12, 2020

Facebook contest shows just how hard it is to detect deepfakes—Some had hoped the solution to the #AI-created fake videos would be more #AI. So far, that’s not the case | via @jeremyakahn @FortuneMagazine https://t.co/yE6jmfr6op

— Rob McCargow (@RobMcCargow) June 12, 2020

FacebookがKaggleで開催したDeepFakeコンペについて、トップモデルでもFake検出精度は65%程度。Fakeを生成する側に検出する側が勝てていない状況。大きな社会課題でもあるので解決が急がれるが、トップクラスのデータサイエンティストが集まっても現状はここ。https://t.co/1DZdr0Vlgn

— 花田賢人/Liaro Inc. CEO (@hanaken_n) June 13, 2020

https://t.co/qn7Ti7EG6N

by
W d heavEn#bigdata #AI #faceBoOk #instaGram #reddit #snapchat#dataScientist #dataScience #Linux #FRENCHtech #100daysofCode #RStats #Javascript #France#USA #canada #london #Australia #japan #FemTech #womenWhoCode #UK#tech #oracle #iot #web #IBM

— Chidambara .ML. (@chidambara09) June 13, 2020

#Facebook just released a database of 100,000 #deepfakes to teach AI how to spot them
With tools for making deepfakes now widely available and relatively easy to use, many also worry that they will be used to spread dangerous misinformation.…
https://t.co/e2Bf3Dyd80 pic.twitter.com/aeiWhg5MLc

— Christophe Tricot (@ctricot) June 13, 2020

Facebook just released a database of 100,000 deepfakes to teach AI how to spot them https://t.co/DVfCHvNAbq

— Belen Curcio (@okbel) June 13, 2020

Facebook just released a database of 100,000 deepfakes to teach AI how to spot them https://t.co/v8rcaMibLb

— Eric Scherer ? (@EricScherer) June 12, 2020

Facebook just released a #database of 100,000 #deepfakes

to teach #AI how to spot them https://t.co/lx1Rr1dM23 #fintech #CyberSecurity #ArtificialIntelligence #MachineLearning #DeepLearning @Facebook @strwbilly @techreview pic.twitter.com/zsJWtPJr3i

— Spiros Margaris (@SpirosMargaris) June 13, 2020

Facebook just released a #database of 100,000 #deepfakes

to teach #AI how to spot them https://t.co/QBosmVRTPp #fintech #CyberSecurity #ArtificialIntelligence #MachineLearning #DeepLearning @Facebook @strwbilly @techreview pic.twitter.com/AgPAOat0W0[.]

— Advanced Cybersecurity Research | Secbüro Labs (@Secburo) June 13, 2020

Facebook just released a database of 100,000 deepfakes to teach AI how to spot them
Deepfakes⁠ have struck a nerve with the public and researchers alike #AI #Facebook #BigData #instaGramhttps://t.co/GxrZgcySvx pic.twitter.com/dHEUTdGE2g

— La Forge AI (@LaForge_AI) June 13, 2020

Facebook just released a database of 100,000 deepfakes to teach AI how to spot them #ArtificialIntelligence https://t.co/tFYj1pqAck

— Bob Carver ✭ (@cybersecboardrm) June 13, 2020