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Q&A: Philosopher David Chalmers on ChatGPT, consciousness, and his days at WashU

On September 20, as part of the TRIADS Speaker Series, philosopher David Chalmers will visit WashU to pose a seemingly straightforward question: “Can ChatGPT Think?”

While Chalmers isn’t in the business of providing a direct “yes” or “no” answer to philosophical quandaries like these, he’s perhaps one of the best-qualified minds to ask the question and unravel its potential implications. Whether in the form of books or TED Talks, Chalmers has grappled with the nature of human consciousness for the better part of three decades. And on a parallel track, he has kept a close eye on the development of artificial intelligence, penning journal articles on the subject and presenting at AI conferences since the early ’90s.

Chalmers, now a New York University Professor of Philosophy and Director of the NYU Center for Mind, Brain, and Consciousness, met via Zoom to discuss the marvels and mysteries of ChatGPT, how he uses philosophical questions to gauge the progress of large language models, and his two years spent at Washington University as a postdoctoral fellow.

Scientists Found The Driving Force Behind Your Darkest Impulses

Psychologists call it the dark triad: an intersection of three of the most malevolent tendencies of human nature – psychopathy, narcissism, and Machiavellianism.

But the truth goes deeper, and darker. There’s also egoism, sadism, spitefulness, and more. And behind this rogues gallery of all our worst inclinations on the surface, a central, common core of human darkness lies, researchers say.

In a 2018 study, psychologists from Germany and Denmark mapped this driving force behind all our darkest impulses and gave it a name. Meet D, the newly identified Dark Factor of Personality.

Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties

The automated synthesis of plasmonic nanoparticles with on-demand properties is a challenging task. Here the authors integrate a fluidic reactor, real-time characterization, and machine learning in a self-driven lab for the photochemical synthesis of nanoparticles with targeted properties.

Stanford engineers build a water-droplet based computer that runs like clockwork

Manu Prakash, an assistant professor of bioengineering at Stanford, and his students have developed a synchronous computer that operates using the unique physics of moving water droplets. Their goal is to design a new class of computers that can precisely control and manipulate physical matter. For more info: http://news.stanford.edu/news/2015/ju

Music: “Union Hall Melody” by Blue Dot Sessions.