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'Gutfeld!' on Chris Cuomo, Rittenhouse Arizona State University controversy

FOX News

'Gutfeld!' panel reacts to CNN's suspension of Chris Cuomo after texts reveal the lengths he went to aid his brother Andrew Cuomo amid sex scandal This is a rush transcript from "Gutfeld!," This copy may not be in its final form and may be updated. So, all is not well at CNN. Yes, there is more friction in the fake news factory than there is between Stelter's thighs, while wearing his favorite pair of Lulu lemons. I speak of the network home of hysterics hall monitors in one anchor who would make a great well anchor. As you know, Chris Cuomo is in more hot water than a package of ramen noodles. He just got suspended indefinitely. According to the New York Attorney General's Office, Chris was far more involved in his brother's damage control efforts than previously admitted. Fake news, CNN is totally fake. Now, as you know, Andrew Cuomo, the ex- governor was accused of sexual harassment multiple times. The guy touched more women than Pete Davidson at a wrap party. Chris admitted to helping his brother out in fighting the accusations, and who wouldn't help his brother really. But new documents reveal he was in regular touch with his bros' former top aide and his accusations piled up, Chris demanded knowing when damaging articles would come out, promising he'd uses media connections to help his sleazy sibling. So, this is turning into the best lifetime movie I've ever seen. And I've seen them all, including the 12 men of Christmas. Now, previously, Chris said he never made calls to the press about his brother. And why shouldn't we believe him? He's been so honest before. A little sweaty, just worked out happens. This is where I've been dreaming of. Now, to pull that off, you need a blind spot the size of Wendy Williams's feet. TYRUS, FOX NEWS CHANNEL CONTRIBUTOR (voice-over): Nice, that was good. TYRUS: That was -- GUTFELD: But it seems like Chris was indeed gathering Intel, including dirt on one accuser.


AI Writes About AI - Robot Writers AI

#artificialintelligence

Editors and writers curious about AI's ability to generate long-form writing will want to check-out this piece by SEPGRA, an economic think tank. The group decided to give GPT-3 -- one of the world's most powerful AI text generators -- a run for its money by inputting one, simple phrase and asking GPT-3 to respond. The phrase: "Write an essay about text written by AI." The resulting 900-word essay published in this article is emblematic of the tech's current prowess. Essentially: The piece begins with an excellent focus on the specific topic, but becomes ever-more generalized as the article unfolds. In fact, by the close of the essay, GPT-3 completely veers-off into a discussion of AI's oft-reported ability to beat the world's greatest chess masters.


Biden widely mocked on social media for bizarre hand gestures

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Social media users took to the internet following President Biden's recent town hall, drawing comparisons between his behavior and that of the cartoon character Beavis from "Beavis and Butt-head" At one point during the town hall, Biden was shown holding his arms bent out in front of him with his fists clinched. That moment was clipped and shared to social media by several people, including political commentator Mike Cernovich, who questioned, "What is Biden doing?" "Biden is straight comedy," wrote former NBA player Andrew Bogut. Other users simply shared photos of the president in the moment alongside pictures of Beavis, who is known for a hyperactive alter-ego, The Great Cornholio, that exhibits the same behavior.


Former HuffPost journalist aims to make an 'NBA 2K' for American politics

Washington Post - Technology News

Nelson left HuffPost at the end of 2018 to work full time on the concept for the game. While at HuffPost, Nelson wrote a newsletter with a humorist spin on the day's political headlines. But Nelson says the news cycle can often feel like a "SportsCenter" highlight reel, continually cycling through provocative tweets and sound bites from politicians. And, because of that, Nelson said the average reader may think American politics are nothing more than a "Twitter-fueled boxing match, where occasionally there's a Supreme Court nominee or a major bill."


Researchers Warn Of 'Dangerous' Artificial Intelligence-Generated Disinformation At Scale - Breaking Defense

#artificialintelligence

A "like" icon seen through raindrops. WASHINGTON: Researchers at Georgetown University's Center for Security and Emerging Technology (CSET) are raising alarms about powerful artificial intelligence technology now more widely available that could be used to generate disinformation at a troubling scale. The warning comes after CSET researchers conducted experiments using the second and third versions of Generative Pre-trained Transformer (GPT-2 and GPT-3), a technology developed by San Francisco company OpenAI. GPT's text-generation capabilities are characterized by CSET researchers as "autocomplete on steroids." "We don't often think of autocomplete as being very capable, but with these large language models, the autocomplete is really capable, and you can tailor what you're starting with to get it to write all sorts of things," Andrew Lohn, senior research fellow at CSET, said during a recent event where researchers discussed their findings.


Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading

arXiv.org Artificial Intelligence

Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains. One example is systems that interact with users, log user actions and behaviour, and make recommendations of items of potential interest to users on the basis of their previous interactions. In such cases, the sequential order of user interactions is often indicative of what the user is interested in next. Similarly, for systems that automatically infer the semantics of text, capturing the sequential order of words in a sentence is essential, as even a slight re-ordering could significantly alter its original meaning. This thesis makes methodological contributions and new investigations of sequential modelling for the specific application areas of systems that recommend music tracks to listeners and systems that process text semantics in order to automatically fact-check claims, or "speed read" text for efficient further classification.


The Matrix Conspiracy updates (The Matrix Dictionary)

#artificialintelligence

With my concept of The Matrix Conspiracy I put myself in the risk of being accused of being a paranoid conspiracy theorist. This is not the case. I m just making aware of that there exists a conspiracy theory which is called The Matrix Conspiracy, and that this conspiracy in fact is a global spreading ideology. My critique is in that way ideology critique, or cultural critique. The concept of the Matrix comes from mathematics, but is more popular known from the movie the Matrix, which asks the question whether we might live in a computer simulation. In The Matrix though, there is also an evil demon, or evil demons, namely the machines which keep the humans in tanks linked to black cable wires that stimulates the virtual reality of the Matrix. Doing this the machines can use the human bodies as batteries that supply the machines with energy. It is the fascination of the virtual reality that deceives the humans. The philosophy behind the movie comes from especially two philosophers: Rene Descartes and George Berkeley. Descartes was very dubious concerning how much we can trust our senses. Therefore he took up the question Is life a dream? However, his intention with this was in his Meditations to develop a confident cognition-argument. In his Meditations Descartes presents the problem approximately like this: I frequently dream during the night, and while I dream, I am convinced, that what I dream is real. But then it always happens, that I wake up and realize, that everything I dreamt was not real, but only an illusion. And then is it I think: is it possible, that what I now, while I am awake, believe is real, also is something, which only is being dreamt by me right now? If it is not the case, how shall I then determinate it? Precisely because Descartes not even in dreams can doubt, that 2 plus 3 is 5, he leaves the dream-argument in his Meditations and goes in tackle with the question, whether he could be cheated by an evil demon concerning all cognition, also the mathematics. This radical skepticism leads him forward to the cogito-argument: Cogito ergo Sum (I think, therefore I exist). But he didn t deny the existence of the external world. The external world he described in a way that resembles what would later be known as modern natural sciences. In the view of nature in natural science, nature is reduced to atomic particles, empty space, fields, electromagnetic waves and particles etc., etc. I have called this the instrumental view of nature. Berkeley is famous for the sentence Esse est percipi, which means that being, or reality, consists in being percepted (to be is to be experienced). The absurdity in Berkeley s assertion is swiftly seen: If a thing, or a human being for that matter, is not being perceived by the senses, then it does not exist. In accordance with Berkeley there therefore does not exist any sense-independent world.


Generating Representative Headlines for News Stories

arXiv.org Artificial Intelligence

Millions of news articles are published online every day, which can be overwhelming for readers to follow. Grouping articles that are reporting the same event into news stories is a common way of assisting readers in their news consumption. However, it remains a challenging research problem to efficiently and effectively generate a representative headline for each story. Automatic summarization of a document set has been studied for decades, while few studies have focused on generating representative headlines for a set of articles. Unlike summaries, which aim to capture most information with least redundancy, headlines aim to capture information jointly shared by the story articles in short length, and exclude information that is too specific to each individual article. In this work, we study the problem of generating representative headlines for news stories. We develop a distant supervision approach to train large-scale generation models without any human annotation. This approach centers on two technical components. First, we propose a multi-level pre-training framework that incorporates massive unlabeled corpus with different quality-vs.-quantity balance at different levels. We show that models trained within this framework outperform those trained with pure human curated corpus. Second, we propose a novel self-voting-based article attention layer to extract salient information shared by multiple articles. We show that models that incorporate this layer are robust to potential noises in news stories and outperform existing baselines with or without noises. We can further enhance our model by incorporating human labels, and we show our distant supervision approach significantly reduces the demand on labeled data.