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"In the future, it may be possible to guard against this kind of photo misuse through technical means. For example, future AI image generators might be required by law to embed invisible watermarks into their outputs so that they can be read later, and people will know they're fakes. But people will need to be able to read the watermarks easily (and be educated on how they work) for that to have any effect. Even so, will it matter if an embarrassing fake photo of a kid shared with an entire school has an invisible watermark? The damage will have already been done."

""What a bunch of malarkey." That's what thousands of New Hampshire voters heard last month when they received a robocall purporting to be from President Biden. The voice on the other end sounded like the president, and the catchphrase was his. But the message that Democrats shouldn't vote in the upcoming primary election didn't make sense. "Your vote makes a difference in November, not this Tuesday," the voice said."

"It is too late to stop the emergence of AI. Instead, we need to think about what we want next, how to design and nurture spaces of knowledge creation and communication for a human-centric world. Search engines need to act as publishers instead of usurpers, and recognize the importance of connecting creators and audiences. Google is testing AI-generated content summaries that appear directly in its search results, encouraging users to stay on its page rather than to visit the source. Long term, this will be destructive."

"In the last year or so, though, the rise of AI has upended that equation. For many publishers and platforms, having their data crawled for training data felt less like trading and more like stealing. "What we found pretty quickly with the AI companies," Stubblebine says, "is not only was it not an exchange of value, we're getting nothing in return. Literally zero." When Stubblebine announced last fall that Medium would be blocking AI crawlers, he wrote that "AI companies have leached value from writers in order to spam Internet readers." "

"Renée: What I find most alarming is that people have the ability to just create reality by making something trend, to reinforce over and over and over again these conspiracy theories. You do have this increasingly divergent set of realities where there's a deep conviction built up over many, many years of reinforcing the same tropes and stories. You can't just correct that with a fact check."

"Kafaar was inspired to turn the tables on telephone fraudsters after he played a "dad's joke" on a scam caller in front of his two kids while they enjoyed a picnic in the sun. With inane chatter, he kept the scammer on the line. "The kids had a very good laugh," he says. "And I was thinking the purpose was to deceive the scammer, to waste their time so they don't talk to others. "Scamming the scammers, if you like." The next day he called his team from the university's Cyber Security Hub in. There must be a better way than his "dad joke" method, he thought. And there had to be something smarter than a popular existing piece of technology - the Lennybot. Before Malcolm and Ibrahim, there was Lenny. Lenny is a doddery, old Australian man, keen for a rambling chat. He's achatbot, designed to troll telemarketers. With a thready voice, tinged with a slight whistle, Lenny repeats various phrases on loop. Each phrase kicks in after 1.5 seconds of silence, to mimic the rhythm of a conversation."

"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

"Jadoun was trying to capture enough audio and video data to build an AI deepfake of Rathore that would convince 300,000 potential voters around Ajmer that they'd had a personalized conversation with him-but excess movement would break the algorithm."