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OpenAI has unveiled a deepfake detector specifically designed to identify content generated by its image creator, DALL-E. Initially, this tool will be available to a select group of disinformation researchers for practical testing. In the ever-evolving realm of cybersecurity, technologies like AI-driven deepfake detection, real-time monitoring, and advanced data analytics are reshaping digital security and authenticity. These innovations, often led by startups, are significantly improving the identification of manipulated content, thereby fostering more secure digital environments, according to GlobalData, a prominent data and analytics firm. Vaibhav Gundre, Project Manager for Disruptive Tech at GlobalData, highlighted the growing sophistication of AI-generated deepfakes, which pose substantial risks to individuals, businesses, and society. He noted that advanced detection methods, powered by machine learning, are increasingly effective in identifying and flagging manipulated content. These tools employ techniques such as analyzing biological signals and leveraging powerful algorithms to defend against the misuse of deepfakes for…

OpenAI is fortifying its internal safety protocols in response to growing concerns about the potential risks of artificial intelligence. The company has introduced a “safety advisory group” that will operate above its technical teams, offering recommendations to leadership, with the board wielding veto power—though the likelihood of its exercise remains uncertain.

Rakuten’s new alliance with OpenAI aims to dissect opportunities in generative AI to enhance various business sectors they serve globally. This partnership promises to expand existing AI experiences in ChatGPT products and foster premium AI conversational possibilities. Yet, some recent whispers suggest a performance drop in GPT-3.5, leading to theories about its overall commercial intent. Will generative AI become a privilege of the financially potent? This question merits careful consideration.