In this interview, Adam Famularo, CEO at WorkFusion, delves into how his leadership background and focus on innovation have propelled the company’s pioneering role in AI Digital Workers. Adam discusses the impact of AI in combating financial crime, the integration of generative AI, and strategies for scaling in highly regulated sectors. He also provides a […]
Category: Generative AI
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Study finds brain reacts differently to human and AI voices
A new study shows that while humans struggle to distinguish human and AI voices, our brains respond differently when we hear them. As AI voice cloning becomes more advanced, it raises ethical and safety concerns that humans weren’t exposed to before. Does the voice on the other end of the phone call belong to a human, or was it generated by AI? Do you think you’d be able to tell? Researchers from the Department of Psychology at the University of Oslo tested 43 people to see if they could distinguish human voices from those that were AI-generated. The participants were
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Google’s Gecko benchmark identifies best AI image generator
Google’s DeepMind released Gecko, a new benchmark for comprehensively evaluating AI text-to-image (T2I) models. Over the last two years, we’ve seen AI image generators like DALL-E and Midjourney become progressively better with each version release. However, deciding which of the underlying models these platforms use is best has been largely subjective and difficult to benchmark. To make a broad claim that one model is “better” than another isn’t so simple. Different models excel in various aspects of image generation. One may be good at text rendering while another may be better at object interaction. A key challenge that T2I models
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OpenAI says Voice Engine might be too risky to release
OpenAI says it ran a small-scale test of its new voice cloning product Voice Engine with a few select partners. The results show promising applications for the tech, but safety concerns may keep it from being released. OpenAI says that Voice Engine can clone a human’s voice based on a single 15-second recording of their voice. The tool can then generate “natural-sounding speech that closely resembles the original speaker.” Once cloned, Voice Engine can turn text inputs into audible speech using “emotive and realistic voices.” The tool’s capability makes exciting applications possible but raises serious safety issues too. Promising use
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