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What happens when AI moves beyond answering questions and starts helping scientists decide what to investigate next? Dream Machines hosts Alexis Madrigal and Robin Sloan talk with Elicit co-founder Jungwon Byun about building AI tools for scientific research, why reliable citations and evidence mat…
Can people tell the difference between a song made by human musicians, and one prompted by AI? Oftentimes not, it turns out. But that doesn’t make the distinction any less important. Dream Machines hosts Alexis Madrigal and Robin Sloan talk to longtime musician Camilo Landau, who also works in musi…
Emily Hart, the bikini-wearing right-wing AI influencer, had captured the hearts, minds and more of MAGA men online. But her creator, Sam, had grown sick of the creepy messages and unsolicited explicit photos he’d received from Emily’s adoring fans. And he was about to be outed as a “scammer.” In t…
Before Apple Watches, Oura Rings and Fitbits delivered mountains of health data to the masses, a group of obsessive self-tracking enthusiasts in Silicon Valley started a movement with the tagline “self-knowledge through numbers.” This was the Quantified Self. From tracking “urges to take aspirin” t…
In an effort to study how AI agents respond to different working conditions, three researchers ran an experiment: one set of AI agents received grinding work to complete while another set received light work. When the agents with the grinding workload were told to repeat tasks with no explanation, …
Vastuuvapautusilmoitus: Tälle sivulle upotettu podcast ja kuvitus ovat peräisin KQED:ltä, joka on sen omistajan omaisuutta, eikä se ole sidoksissa Listen Notes, Inc:n tukemaan.