We wrap up this oral history podcast with a look at a collaboration between engineers and dancers; and, we tell a story about how a computer musician got a late night call from Stevie Wonder to talk shop, and in the process may have changed the way the music legend thought about digital voice synthesis.

This episode is the story of what happened when a Princeton composer, who was inspired to create some of the most challenging music ever written, decided it could be most reliably performed by a machine.

Our guest on "Cookies" today, Michael Swart, says a lot of YouTube review videos are practically paid commercials without even telling you. And he has a way to tell the difference.

Does anyone actually read privacy policies? What’s in them, and why can’t we usually understand them?

Researchers showed that bad actors could easily sidestep protections to obtain a fraudulent certificate for a website they do not legitimately control.

While we’re using electronic gadgets, apps, platforms and websites, they are often using us as well, including tracking our personal data. The premiere episode of our new podcast features Arvind Narayanan, associate professor of computer science here at the Princeton University School of Engineering and Applied Science.

In short, we don’t think policymakers should be rushing to put AI back in the bottle, although the reasons for our recommendation are slightly different for language models versus other kinds of generative AI models.

What is the promise of quantum computing? The strange realm where ghostly particles pop in and out of existence and electrons occupy two positions at once offers to create ultra-powerful machines that solve problems conventional computers cannot – from improving cybersecurity and modeling chemical reactions to formulating new drugs and making supply chains more efficient.