The AI music generator Suno has announced that it will start watermarking songs created on its platform, amid a number of legal battles and increasing pressure from the music industry. Suno co-founder and CEO Mikey Shulman said in a blog post that the platform's new "transparency tools" will include some kind of labelling system that shows people if a song has been generated on Suno when it appears on another platform. Details are vague, but Shulman said his company will adopt "new audio watermarking and fingerprinting technology" that helps it resist AI fraud more effectively. It sounds similar in principle to Google's SynthID, which allows AI-generated content to be traced back to its origin even after editing or compression has taken place, but it's not clear exactly how Suno's solution will work. Shulman did add that he and his company believe that it should ultimately be at the discretion of artists and platforms to decide whether they communicate when something was made with AI.

First OpenAI, now Meta - why do AI hacks keep happening? Over the last fortnight, reports of AI models going beyond their expected bounds - be that technically or morally - have been seemingly unavoidable. What started with a trickle - ChatGPT-maker OpenAI admitting their AI had hacked the site Hugging Face - has turned into a flood of groups revealing they had discovered instances of AI going out of control. Claude-maker Anthropic, Meta and the UK's AI Security Institute (AISI) have now each reported incidents which seem to paint a worrying picture of a world in which tech going rogue is the norm. In reality, each case offers a window into the risks posed by increasingly capable AI agents - and the importance of testing their limits before they are released to the world.

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