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Musician Jimmy Destri about iTunes, Spotify, Facebook, and Steve Jobs, on the ÌÇÐÄVlog Podcast

Jimmy Destri of Blondie, and your host Victor

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This week on the ÌÇÐÄVlog Podcast, William is off, and Jimmy Destri of the band Blondie joins Victor to talk about iTunes, Facebook's responsibility, Apple ÌÇÐÄVlog, Apple Car, and Steve Jobs stories.

ÌÇÐÄVlog editor and musician/songwriter/producer Jimmy Destri discuss:

  • Jimmy's background and how Blondie was unsuccessful at first
  • How anyone with a laptop can make music
  • iTunes royalties, and how it's been good for artists
  • Spotify needs to work with Apple instead of fighting them
  • Apple, privacy, and Facebook's responsibility to their users (and Apple ÌÇÐÄVlog)
  • Who would Apple's competitors be in the future?
  • and some Steve Jobs musings, based on things his friend Jimmy Iovine told him.

Victor goes to Moogfest and takes over the WUNC radio studios to interview

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4 Comments


Really enjoyed the interview! :) What a charming man. :)

1 Like · 0 Dislikes

Enjoying the episode... but,

Victor, I think you should pay better attention to the common sense of you guest (re: self-driving car).
Or, maybe a scientists like this: https://www.youtube.com/watch?v=oDMFlHhzlOw
(especially about 3:43 min in, where he talks about our false assumptions... which I hear ALL the time in the media!)


Driving is difficult to automate.

But I do think t's not insurmountable. It's not anytime soon, but we likewise shouldn't think that 'not-soon' equals 'never'. And when it comes, it will come out of the work that Fridman and others like him are doing.

If we just sit and agree, it's probably less fun.


said:
But I do think t's not insurmountable. It's not anytime soon, but we likewise shouldn't think that 'not-soon' equals 'never'.

That depends on whether it is actually possible to achieve an acceptable level of analysis/reaction in comparison to a human. If not, time is rather irrelevant.

Unless there is some breakthrough in terms of AI (which I'd personally bet against), they are working on a data collection / human foresight kind of problem, where they think eventually they will get all the bases covered. I suppose time could be a factor there, but it depends on how big the problem is and how much of it we can cover in a given time. My concern is that I think too many are betting on the former (ie: an AI breakthrough).