What’s next for AI in 2024


AI-generated election disinformation can be all over the place 

If latest elections are something to go by, AI-generated election disinformation and deepfakes are going to be an enormous downside as a report variety of folks march to the polls in 2024. We’re already seeing politicians weaponizing these instruments. In Argentina, two presidential candidates created AI-generated pictures and movies of their opponents to assault them. In Slovakia, deepfakes of a liberal pro-European celebration chief threatening to boost the worth of beer and making jokes about youngster pornography unfold like wildfire through the nation’s elections. And within the US, Donald Trump has cheered on a gaggle that makes use of AI to generate memes with racist and sexist tropes. 

Whereas it’s onerous to say how a lot these examples have influenced the outcomes of elections, their proliferation is a worrying pattern. It’ll turn out to be more durable than ever to acknowledge what’s actual on-line. In an already infected and polarized political local weather, this might have extreme penalties.

Just some years in the past making a deepfake would have required superior technical expertise, however generative AI has made it stupidly simple and accessible, and the outputs are wanting more and more reasonable. Even respected sources may be fooled by AI-generated content material. For instance, users-submitted AI-generated pictures purporting to depict the Israel-Gaza disaster have flooded inventory picture marketplaces like Adobe’s. 

The approaching 12 months can be pivotal for these preventing in opposition to the proliferation of such content material. Methods to trace and mitigate it content material are nonetheless in early days of growth. Watermarks, equivalent to Google DeepMind’s SynthID, are nonetheless principally voluntary and never utterly foolproof. And social media platforms are notoriously gradual in taking down misinformation. Prepare for a large real-time experiment in busting AI-generated faux information. 

—Melissa Heikkilä



Robots that multitask

Impressed by a few of the core methods behind generative AI’s present growth, roboticists are beginning to construct extra general-purpose robots that may do a wider vary of duties.

The previous few years in AI have seen a shift away from utilizing a number of small fashions, every educated to do totally different duties—figuring out pictures, drawing them, captioning them—towards single, monolithic fashions educated to do all these items and extra. By displaying OpenAI’s GPT-3 a number of extra examples (often called fine-tuning), researchers can practice it to unravel coding issues, write film scripts, move highschool biology exams, and so forth. Multimodal fashions, like GPT-4 and Google DeepMind’s Gemini, can remedy visible duties in addition to linguistic ones.

The identical strategy can work for robots, so it wouldn’t be essential to coach one to flip pancakes and one other to open doorways: a one-size-fits-all mannequin may give robots the flexibility to multitask. A number of examples of labor on this space emerged in 2023.

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