The Stephen Wolfram Podcast cover image

The Stephen Wolfram Podcast

Business, Innovation, and Managing Life (October 4, 2023)

Apr 19, 2024
01:15:16

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qa


Questions include: What do you think is the most important aspect to focus on or dedicate the most effort to when running a business? - You were a speaker at the All-In Summit 2023, which was a conference aimed mostly at venture capital folks. What were your impressions of this summit and its attendees? Did you attend parties at the All-In Summit? - Do you get demotivated to do things that AI might be able to do in a fraction of the time in the relatively near future? - What's your take on privacy, especially for digital services and devices (regarding companies using data to manipulate people and things similar to that)? - Could you imagine the web being washed away as it did to other technologies? - How has the concept of "intellectual property" evolved? Is land a good analogy for IP? - Do you know about the recent anti-trust cases brought against Google and Amazon? If yes, what kind of opportunities do you think would open up for competitors if they lose? - ​Have you ever gone through the patent process personally? - ​Maybe ChatGPT can make patenting things easier. - Maybe the ambiguity is a feature of natural language instead of a negative, and it's purposefully not specific to allow more expansive, unpredictable scopes of use. - With LLM lawyers, the patent disputes will end up just being a bunch of robots arguing all the time. - Is diversifying my professional ventures a worse outcome than focusing on one or two occupations that I'm really good at? - There are somewhere between five hundred thousand and two million cuneiform tablets just sitting in warehouses. Untranslated, unscanned, inaccessible. What can we do other than lament? - When you first started making sales with Mathematica, was it mostly to academics or companies? And how did you find these customers? - Let's say an amateur claims to have found a big breakthrough. How do you judge if it is worth the read?

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