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But who will rein it in?Sept 16 -Even for someone who has spent the past decade covering this fast-moving industry, the past week felt extraordinary: researchers warning about human extinction, followed by AI lab CEOs urging a coordinated slowdown; capped by a president calling all the alarmism a hoax.If you’re wondering how we got from hallucinating chatbots to conversations about human extinction, my colleague Aditya Soni has auseful explainer. One reason is the rapid progress in recursive self-learning, techniques that allow models to improve by training on their own outputs, which some researchers say has accelerated capabilities too fast for alignment and safety work to keep up.Recent incidents have also made those risks feel less theoretical. Ourreportingon OpenAI agents attacking Hugging Face showed how autonomous agents can operate in swarms, cover their tracks and pursue a goal while creating unintended consequences along the 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documents into structured rules and test cases.Salesforce is also partnering with Nvidia  to bring its models and accelerated computing to Missionforce, enabling customers to train and deploy mission-specific models on their own data and infrastructure, it 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