Today we launch @deepmark_me (@ycombinator F26). We put an inaudible ID inside an AI agent's voice, so the person on the other end of a phone call can verify who is really speaking. Here is me doing it live, on one phone.
This is a massive L take.
We open-source most of our research, as we love sharing knowledge. But we deserve to be credited if someone uses it.
I would be pretty mad if someone wrote a prompt, "audio watermarking Claude help pls" and it spat out our proprietary models.
if you seriously are upset about someone "stealing" your research as their own you have lost the plot entirely
why cant we just be happy we made this advancement and keep moving forward?
everyone is doing everything i doubt anthropic directly stole this too
its like the whole navier stokes shit all over again
Decades of signal processing progress, but the best way to compare two audio samples was by listening.
Not anymore.
DeepMark is proud to announce the Auditory Nerve Noticeability Index (ANNI).
Beats SOTA standards, including ViSQOL and PESQ.
pip install deepmark-anni
@NikhilKMurthy The ultimate interface needs an ultimate trust layer. Right now, any voice can claim to be anyone. There's also a compliance angle, and the deadline is in a month. Happy to help!!
OpenAI researched text watermarking for years but didn’t put it into production. When compliance deadlines were near they let Anthropic go first and take all the hate, haha. You gotta respect that, very smart 😆
Ladies and gentlemen, a new record has been set in the AI voice fraud market.
One hacked voice and $108M departed Italy's biggest bank. Poof!
https://t.co/pQqpWlXbDD
The title is my takeaway from a new study by security researchers at Brno University of Technology, published in August. They tested how well people catch AI voices by ear. Spoiler, it doesn’t go well! https://t.co/ZNGrTcG6KC