Science & Technology Q&A for Kids (and others) [January 6, 2023]

The Stephen Wolfram Podcast - Un pódcast de Wolfram Research - Viernes

Categorías:

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Is it possible to produce large amounts of crude oil artificially by manipulating chemical kinetics? - How is the distance to a distant galaxy determined? - What industries do you think will be most disrupted by ChatGPT and Midjourney AI applications? - Thoughts on integrating the Wolfram interface with ChatGPT? - An automatic nonsense/false detector would be a interesting tool to have. - With generative images, Dall-E needs to be able to recycle its output image for incremental improvement. - Chat GPT will edit your e-mails into publishable books. - What are some of the most interesting ChatGPT prompts you've come up with that can aid in everyday life? - I've used ChatGPT to help give me ideas for movie scripts. - Couldn't the detector be used as a way to make the output of ChatGPT actually be coherent? Isn't the detector just the necessary component for ChatGPT to learn from its mistakes? - How could a language model be integrated with a symbolic system? - Stephen, do you think ChatGPT is over-hyped? Chomsky chuckled about the literally 60 years he's heard we're "on the verge of an AI Revolution." - Instead of training on text, wouldn't training on the senses that we use, such as video and audio be better? I suspect that a model that can predict the next video frame will be as intelligent as a human. Video contains text inside itself as well as other degrees of freedom that humans have access to. - Do you log all of your keystrokes, etc with the expectation that you will provide this information to an AI to try to understand your thought patterns? - I've used it to construct a 365-day nutrition plan I'm just having my first breakfast based on it!

Visit the podcast's native language site