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Although Twitch took down the livestream within two minutes from the start of the attack, a recording of the video was swiftly posted on a site called Streamable. That video was viewed more than 3 million times before it was taken down, according to the New York Times. Links to the recording were shared across Facebook and Twitter, and another clip that purported to show the gunman firing at people in the supermarket was visible on Twitter more than four hours after being uploaded. Additionally, TikTok users shared search terms that would take viewers to the full video on Twitter, according to Washington Post reporter Taylor Lorenz. Although Twitch removed the livestream in less time than the 17 minutes it took Facebook to take down the live broadcast of the 2019 mosque shooting.
Artificial intelligence (AI) is all the rage now. It's impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology "fintech" industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago. For example, banks now apply AI to assess credit risks with high accuracy.
Popular gay dating app Grindr has agreed to go public through a blank-cheque firm whose founder was part of a consortium that bought the company in 2020, according to a filing with the US Securities and Exchange Commission on Monday. The deal with Tiga Acquisition Corporation will raise $384m including $284m of the special-purpose acquisition company's (SPAC) cash in trust plus up to $100m in a forward purchase agreement, valuing the company at $2.1bn including debt, according to the filing. The dating app was valued at $620m when it was sold in 2020 by its Chinese owner. Tiga Acquisition Corp went public in November 2020 to raise $240m, a few months after the Grindr sale. The SPAC would have to liquidate later this month if it failed to reach a deal with a potential merger target, after several extensions of the liquidation deadline.
A joint research collaboration between US universities and IBM has formulated a proof-of-concept adversarial attack that's theoretically capable of causing stock market losses, simply by changing one word in a retweet of a Twitter post. In one experiment, the researchers were able to hobble the Stocknet prediction model with two methods: a manipulation attack and a concatenation attack. The attack surface for an adversarial attack on automated and machine learning stock prediction systems is that a growing number of them are relying on organic social media as predictors of performance; and that manipulating this'in-the-wild' data is a process that can, potentially, be reliably formulated. Besides Twitter, systems of this nature ingest data from Reddit, StockTwits, and Yahoo News, among others. The difference between Twitter and the other sources is that retweets are editable, even if the original tweets are not.
I hope that you enjoy the latest AI news and insights, don't forget to comment with your feedback. From this week you can find some interesting stuff added to the last section. But they have had a hard time shaking infighting and controversy over a variety of issues. Biased datasets are often the source for why AI models are also biased. "Adoption and scaling aren't things you add at the tail end of a project; they're where you need to start," Join 6000 aspiring Data Scientists to watch this FREE 75-minute session.
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. The past 12 months have taught us that the metaverse is regarded by many as the next major frontier for tech. The furor caused by Facebook's conspicuous rebranding to Meta has shown that the 21st century's biggest technological space race will be fought on the battlegrounds of Wall Street -- but the stock market has also helped to identify some of the forgotten players that will be integral to the mechanics of this brave new world. The race for the metaverse is a unique prospect for the 21st century, primarily because there is little understanding of what such a revolutionary mixed reality digital space will actually look like in practice -- or how businesses will be looking to capitalize on the new technology. So, who will succeed in profiting the most from the metaverse?