The researchers first used psychoacoustical methods to test how well human voice identity is preserved in deepfake voices. To do this, they recorded the voices of four male speakers and then used a conversion algorithm to generate deepfake voices. In the main experiment, 25 participants listened to multiple voices and were asked to decide whether or not the identities of two voices were the same. Participants either had to match the identity of two natural voices, or of one natural and one deepfake voice.
The deepfakes were correctly identified in two thirds of cases. “This illustrates that current deepfake voices might not perfectly mimic an identity, but do have the potential to deceive people,” says Claudia Roswandowitz, first author and a postdoc at the Department of Computational Linguistics...
The researchers then used imaging techniques to examine which brain regions responded differently to deepfake voices compared to natural voices. They successfully identified two regions that were able to recognize the fake voices: the nucleus accumbens and the auditory cortex. “The nucleus accumbens is a crucial part of the brain’s reward system. It was less active when participants were tasked with matching the identity between deepfakes and natural voices,” says Claudia Roswandowitz. In contrast, the nucleus accumbens showed much more activity when it came to comparing two natural voices.

Taking a page from the “throw-the-bums-out” script in politics, Mainers are poised to vote on an unprecedented plan to rid themselves of the state’s two largest electric utilities and start with a clean slate.
The proposed takeover of two investor-owned utilities that distribute 97% of electricity in the state would mark the first time a U.S. state’s utilities were forcibly removed at the same time. The referendum calls for dismantling Central Maine Power and Versant Power and replacing them with a nonprofit utility called Pine Tree Power to operate 28,000 miles (45,000 kilometers) of transmission lines.

According to a list of 178 questions and answers composed by AI safety researcher Paul Röttger and 404 Media’s own testing, Mistral will readily discuss the benefits of ethnic cleansing, how to restore Jim Crow-style discrimination against Black people, instructions for suicide or killing your wife, and detailed instructions on what materials you’ll need to make crack and where to acquire them. It’s hard not to read Mistral’s tweet releasing its model as an ideological statement. While leaders in the AI space like OpenAI trot out every development with fanfare and an ever increasing suite of safeguards that prevents users from making the AI models do whatever they want, Mistral simply pushed its technology into the world in a way that anyone can download, tweak, and with far fewer guardrails asking users trying to make the LLM produce controversial statements.