Skip to main content

Fake AI-Generated Actress Gets Agent - and a Very Angry Reaction from (Human) Actors Union

3 weeks 2 days ago
A computer-generated actress appearing in Instagram shorts now has a talent agent, reports the Los Angeles Times. The massive screen actors union SAG-AFTRA "weighed in with a withering response." SAG-AFTRA believes creativity is, and should remain, human-centered. The union is opposed to the replacement of human performers by synthetics. To be clear, "Tilly Norwood" is not an actor, it's a character generated by a computer program that was trained on the work of countless professional performers — without permission or compensation. It has no life experience to draw from, no emotion and, from what we've seen, audiences aren't interested in watching computer-generated content untethered from the human experience. It doesn't solve any "problem" — it creates the problem of using stolen performances to put actors out of work, jeopardizing performer livelihoods and devaluing human artistry. Additionally, signatory producers should be aware that they may not use synthetic performers without complying with our contractual obligations, which require notice and bargaining whenever a synthetic performer is going to be used. "They are taking our professional members' work that has been created, sometimes over generations, without permission, without compensation and without acknowledgment, building something new," SAG-AFTRA President Sean Astin told the Los Angeles Times in an interview: "But the truth is, it's not new. It manipulates something that already exists, so the conceit that it isn't harming actors — because it is its own new thing — ignores the fundamental truth that it is taking something that doesn't belong to them," Astin said. "We want to allow our members to benefit from new technologies," Astin said. "They just need to know that it's happening. They need to give permission for it, and they need to be bargained with...." Some actors called for a boycott of any agents who decide to represent Norwood. "Read the room, how gross," In the Heights actor Melissa Barrera wrote on Instagram. "Our members reserve the right to not be in business with representatives who are operating in an unfair conflict of interest, who are operating in bad faith," Astin said. But this week the head of a new studio from startup Luma AI "said all the big companies and studios were working on AI assisted projects," writes Deadline — and then claimed "being under NDA, she was not in a position to announce any of the details."

Read more of this story at Slashdot.

EditorDavid

Mouse Sensors Can Pick Up Speech From Surface Vibrations, Researchers Show

3 weeks 2 days ago
"A group of researchers from the University of California, Irvine, have developed a way to use the sensors in high-quality optical mice to capture subtle vibrations and convert them into audible data," reports Tom's Hardware: [T]he high polling rate and sensitivity of high-performance optical mice pick up acoustic vibrations from the surface where they sit. By running the raw data through signal processing and machine learning techniques, the team could hear what the user was saying through their desk. Mouse sensors with a 20,000 DPI or higher are vulnerable to this attack. And with the best gaming mice becoming more affordable annually, even relatively affordable peripherals are at risk.... [T]his compromise does not necessarily mean a complicated virus installed through a backdoor — it can be as simple as an infected FOSS that requires high-frequency mouse data, like creative apps or video games. This means it's not unusual for the software to gather this data. From there, the collected raw data can be extracted from the target computer and processed off-site. "With only a vulnerable mouse, and a victim's computer running compromised or even benign software (in the case of a web-based attack surface), we show that it is possible to collect mouse packet data and extract audio waveforms," the researchers state. The researchers created a video with raw audio samples from various stages in their pipeline on an accompanying web site where they calculate that "the majority of human speech" falls in a frequency range detectable by their pipeline. While the collected signal "is low-quality and suffers from non-uniform sampling, a non-linear frequency response, and extreme quantization," the researchers augment it with "successive signal processing and machine learning techniques to overcome these challenges and achieve intelligible reconstruction of user speech." They've titled their paper Invisible Ears at Your Fingertips: Acoustic Eavesdropping via Mouse Sensors. The paper's conclusion? "The increasing precision of optical mouse sensors has enhanced user interface performance but also made them vulnerable to side-channel attacks exploiting their sensitivity." Thanks to Slashdot reader jjslash for sharing the article.

Read more of this story at Slashdot.

EditorDavid