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Square Enixs terrific Final Fantasy Pixel Remaster series has finally made its way to Xbox. The 1980s and 90s classics, which arrived on PC and mobile starting in 2021 and Switch and PS4 last year, are now available on Xbox Series X/S. The Xbox Store sells the six-game series in a $75 bundle ($60 for a limited time). Alternatively, you can buy the individual installments for prices ranging from $12 to $18 (on sale now for $9.59 to $14.39). The series remasters Final Fantasy I through Final Fantasy VI with updated pixel graphics designed to pop on modern HD displays. The games also have remastered soundtracks (and the option to switch back to the chiptune-tastic originals). You can also choose between updated fonts and the originals. Square Enix Gameplay customizations include options to boost experience gains (up to 4x) or turn off random encounters for a breezier play-through. For an even easier run, you can turn on auto-battle. Along with the Final Fantasy classics, Square Enixs Trials of Mana ($50) and Legend of Mana ($30) are also now on Xbox. In addition, the Dragon Quest III HD-2D Remake is available for pre-order ($60) ahead of its November 14 release date. This article originally appeared on Engadget at https://www.engadget.com/gaming/xbox/the-final-fantasy-pixel-remaster-series-finally-arrives-on-xbox-200713407.html?src=rss
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The Federal Communications Commission (FCC) has officially issued its full recommended fine against political consultant Steve Kramer for a series of illegal robocalls using deepfake AI technology and caller ID spoofing during the New Hampshire primaries. Kramer must pay $6 million in fines in the next 30 days or the Department of Justice will handle collection, according to a FCC statement. Kramer violated the Truth in Caller ID Act passed in 2009 that prohibits anyone from knowingly transmit misleading or inaccurate caller identification information with the intent to defraud, cause harm or wrongfully obtain anything of value, according to legislative records. The law preceded the widespread usage of AI, but the FCC voted unanimously to have it apply to such deepfakes this past February. The phony robocalls delivered pre-recorded audio of President Bidens voice using deepfake AI technology to New Hampshire residents leading up to the 2024 presidential primary election. The phony President Biden told voters not to vote in the upcoming primary saying Your vote makes a difference in November, not this Tuesday, according to an earlier report from CBS New York. The robocalls were spoofed so as to appear to originate from the former chairwoman of the New Hampshire Democratic Party, according to the New York Times. Kramer hired New Orleans magician (no, really, an actual magician) Paul Carpenter to make the phony recordings. Carpenter showed NBC News how he made the deepfake audio files of President Biden using an AI voice generator called ElevenLabs. The recordings, he claims, only took around 20 minutes to make. Carpenter says Kramer paid him through Venmo and he thought the work he was doing was authorized by President Bidens campaign. Eleven Labs has since shut down Carpenters account. Kramer claims he sent the robocalls to raise awareness about the dangers and misuse of the technology. His apparent experiment only cost him $500 but, according to the political consultant, resulted in a massive return. For me to do that and get $5 million worth of exposure, not for me, Kramer told CBS New York. I kept myself anonymous so the regulations could just play themselves out or begin to play themselves out. I dont need to be famous. Thats not my intention. My intention was to make a difference. Kramer doesnt just face a hefty FCC fine, hes also facing criminal charges. New Hampshire Attorney General John M. Formella announced last May that Kramer received 13 felony counts of voter suppression and 13 misdemeanor counts of impersonation of a candidate.This article originally appeared on Engadget at https://www.engadget.com/ai/fcc-fines-political-consultant-6-million-for-deepfake-robocalls-190050186.html?src=rss
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Researchers have spotted an apparent downside of smarter chatbots. Although AI models predictably become more accurate as they advance, theyre also more likely to (wrongly) answer questions beyond their capabilities rather than saying, I dont know. And the humans prompting them are more likely to take their confident hallucinations at face value, creating a trickle-down effect of confident misinformation. They are answering almost everything these days, José Hernández-Orallo, professor at the Universitat Politecnica de Valencia, Spain, told Nature. And that means more correct, but also more incorrect. Hernández-Orallo, the project lead, worked on the study with his colleagues at the Valencian Research Institute for Artificial Intelligence in Spain. The team studied three LLM families, including OpenAIs GPT series, Metas LLaMA and the open-source BLOOM. They tested early versions of each model and moved to larger, more advanced ones but not todays most advanced. For example, the team began with OpenAIs relatively primitive GPT-3 ada model and tested iterations leading up to GPT-4, which arrived in March 2023. The four-month-old GPT-4o wasnt included in the study, nor was the newer o1-preview. Id be curious if the trend still holds with the latest models. The researchers tested each model on thousands of questions about arithmetic, anagrams, geography and science. They also quizzed the AI models on their ability to transform information, such as alphabetizing a list. The team ranked their prompts by perceived difficulty. The data showed that the chatbots portion of wrong answers (instead of avoiding questions altogether) rose as the models grew. So, the AI is a bit like a professor who, as he masters more subjects, increasingly believes he has the golden answers on all of them. Further complicating things is the humans prompting the chatbots and reading their answers. The researchers tasked volunteers with rating the accuracy of the AI bots answers, and they found that they incorrectly classified inaccurate answers as being accurate surprisingly often. The range of wrong answers falsely perceived as right by the volunteers typically fell between 10 and 40 percent. Humans are not able to supervise these models, concluded Hernández-Orallo. The research team recommends AI developers begin boosting performance for easy questions and programming the chatbots to refuse to answer complex questions. We need humans to understand: I can use it in this area, and I shouldnt use it in that area, Hernández-Orallo told Nature. Its a well-intended suggestion that could make sense in an ideal world. But fat chance AI companies oblige. Chatbots that more often say I dont know would likely be perceived as less advanced or valuable, leading to less use and less money for the companies making and selling them. So, instead, we get fine-print warnings that ChatGPT can make mistakes and Gemini may display inaccurate info. That leaves it up to us to avoid believing and spreading hallucinated misinformation that could hurt ourselves or others. For accuracy, fact-check your damn chatbots answers, for crying out loud. You can read the teams full study in Nature.This article originally appeared on Engadget at https://www.engadget.com/ai/advanced-ai-chatbots-are-less-likely-to-admit-they-dont-have-all-the-answers-172012958.html?src=rss
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