tmoney1818

>"Most models are trained on the original speaker's voice, but maybe only a little bit."

Really cool that you got this to work. I used to work on TTS (a few years ago, now), and we trained on celebrity voices, but used full audiobooks. https://github.com/Kyubyong/tacotron

Here are some of our Nick Offerman samples: https://soundcloud.com/kyubyong-park/sets/tacotron_nick_215k .

I think he nixes your case at the start, when he goes through the sanity check thinking about the flat tire. Also, I think your rigid body case use the walls of the tires to apply force to the care, not the force from the pressure to keep the car static, which is why it fails.

Posted the wrong link before. https://www.hoover.org/research/auctioning-temporary-visas

Here's an interesting alternative to the current H1B visa. It replaces the lottery with an auction. I imagine this would make companies think twice about hiring "cheap" foreign labor, but then again it might lower the salaries further given the extra burden on the sponsoring company.

https://www.hoover.org/sites/default/files/uploads/aafs/2013....

You know this is legit when the install instructions mention JAX.

From my research, maybe the most interesting characteristic is that all these companies seem dependent on the sucker gripper. I haven't worked in this field, but you'd think it'd be easy getting other gripper to work well, especially since covariant is combining simulated training with non-simulated training.

"the top-level prior has 5 billion parameters and is trained on 512 V100s for 4 weeks"

If they used on-demand AWS instances, it would cost about 1,342,623 USD to train the top-level prior. So much for reproducing this work.