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"The rapid online spread of deepfake pornographic images of Taylor Swift has renewed calls, including from US politicians, to criminalise the practice, in which artificial intelligence is used to synthesise fake but convincing explicit imagery. The images of the US popstar have been distributed across social media and seen by millions this week. Previously distributed on the app Telegram, one of the images of Swift hosted on X was seen 47m times before it was removed."

"Actually, ChatGPT was freaking out in many ways yesterday, but one recurring theme was that it would be prompted with a normal question - typically something involving the tech business or the user's job - and respond with something flowery to the point of unintelligibility. For instance, according to an X post by architect Sean McGuire, the chatbot advised him at one point to ensure that "sesquipedalian safes are cross-keyed and the consul's cry from the crow's nest is met by beatine and wary hares a'twist and at winch in the willow.""

"Seeing an opportunity, Franklin decided to take advantage. On 9 July, the company said that it would begin to support digital employees as part of its platform and treat them like any other employee. "Today Lattice is making AI history," Franklin pronounced. "We will be the first to give digital workers official employee records in Lattice. Digital workers will be securely onboarded, trained and assigned goals, performance metrics, appropriate systems access and even a manager. Just as any person would be." The pushback was swift - and, in many cases, brutal, particularly on LinkedIn, which is generally not known for its savage engagement like X (formerly known as Twitter). "This strategy and messaging misses the mark in a big way, and I say that as someone building an AI company," said Sawyer Middeleer, an executive at a firm that uses AI to help with sales research, on LinkedIn. "Treating AI agents as employees disrespects the humanity of your real employees. Worse, it implies that you view humans simply as 'resources' to be optimized and measured against machines. It's the exact opposite of a work environment designed to elevate the people who contribute to it.""

"MPs are to summon Elon Musk to testify about X's role in spreading disinformation, in a parliamentary inquiry into the UK riots and the rise of false and harmful AI content, the Guardian has learned. Senior executives from Meta, which runs Facebook and Instagram, and TikTok are also expected to be called for questioning as part of a Commons science and technology select committee social media inquiry."

"Censorship, or rather his stance against it, is a key reason why Elon Musk bought Twitter for $44bn last year. His social media company's lawsuit against an anti-hate speech group refers to censorship, or variations on the word, eight times. But for critics of his complaint against the Center for Countering Digital Hate (CCDH), it is Musk who is doing the censoring. "The intent is definitely to get the centre to shut up. That's the whole point of this suit, to prevent the centre from exercising any speech that Musk doesn't like," says Prof Brian Quinn from Boston College law school."

"Tristan Harris presents on 1) why humans as a species are vulnerable to technology, 2) why it's so hard to solve the issues of social media algorithms, artificial intelligence, and exponential tech, and 3) what it will take to come together to avoid these existential threats."

"Their research, published in Science, found that misinformation is '70 percent more likely to be retweeted on Twitter than the truth,' and that the fake news 'reached 1,500 people about six times faster than the truth.'" About 126,000 rumors were spread by ∼3 million people. False news reached more people than the truth; the top 1% of false news cascades diffused to between 1,000 and 100,000 people, whereas the truth rarely diffused to more than 1000 people. Falsehood also diffused faster than the truth. The degree of novelty and the emotional reactions of recipients may be responsible for the differences observed. (via Science)"

"Wikipedia lives and dies by its references, the links to sources that back up information in the online encyclopaedia. But sometimes, those references are flawed - pointing to broken websites, erroneous information or non-reputable sources. A study published on 19 October in Nature Machine Intelligence1 suggests that artificial intelligence (AI) can help to clean up inaccurate or incomplete reference lists in Wikipedia entries, improving their quality and reliability."

"A rise in online racism driven by fake images is "just the start of a coming problem" after the latest release of X's AI software, online abuse experts have warned. Concerns were raised after computer-generated images created using Grok, X's generative artificial intelligence chatbot, flooded the social media site in December last year. Signify, an organisation that works with prominent groups and clubs in sports to track and report online hate, said it has seen an increase in reports of abuse since Grok's latest update, and believes the introduction of photorealistic AI will make it far more prevalent."