AI produces realistic sounds that fool humans
&quot;The first step to training a sound-producing algorithm is to give it sounds to study. Over several months, the researchers recorded roughly 1,000 videos of an estimated 46,000 sounds that represent various objects being hit, scraped, and prodded with a drumstick. (They used a drumstick because it provided a consistent way to produce a sound.)&quot;<p>Whilst the production of natural seeming sound is cool, that quote right there perfectly shows just how limited AI&#x2F;ML still is. Sure, Deep Learning systems can be taught to do perception tasks (such as understanding or creating sounds and images) very very well, but those perception tasks are incredibly specific and narrow. Not only that, but they are trained large datasets hand-labels through an intensely laborious process, and indeed this laborious process is necessary because we are still using simplistic supervised learning. At this point good recognition or generation with deep learning is entirely old news, and I think zero shot or unsupervised&#x2F;semi-supervised learning is where the real challenges still are.