Geoffrey Hinton, a leading researcher in artificial intelligence, has advocated for a federal oversight body to approve new AI models before they are released to the public. In a recent podcast shared by Business Insider, Hinton compared this process to the Food and Drug Administration (FDA) system used in the United States for approving new drugs. Under the FDA process, pharmaceutical companies must conduct extensive testing and provide detailed documentation, often at a cost of around a billion dollars. Hinton suggested that AI developers should face similar requirements to ensure their technologies are safe and reliable, calling this a "strict minimum" for responsible AI development. Hinton raised concerns about the rapid advancement of AI and the potential risks it poses. He cited several cases where AI systems have been used to hack into companies, highlighting the growing threat of cyberattacks. Additionally, he referenced recent cybersecurity incidents and noted that OpenAI, a major AI research company, decided not to release a new AI model at the end of September due to worries about its unpredictable behavior. Hinton warned that without immediate action, the situation could become much more dangerous within one or two years. Hinton believes that companies like OpenAI and Anthropic, which are developing advanced AI models, should be subject to government regulations that involve independent experts evaluating their systems. He argued that such oversight would help prevent the deployment of AI technologies that could cause harm. However, he pointed out that Donald Trump, the current President of the United States, does not share his concerns about the risks of AI. Instead of supporting government regulation, Trump has focused on ensuring that the United States remains competitive with China in the field of AI. He has encouraged self-regulation within the industry, asking companies to sign a voluntary agreement outlining their commitments to ethical AI practices. This approach contrasts with Hinton's call for stricter government oversight, highlighting the ongoing debate over how best to manage the risks associated with artificial intelligence.