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Keynote by Dylan Beattie: Computational Creativity (EN) – INNOQ Technology Day

INNOQ · Youtube · 36 HN points · 0 HN comments
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Youtube Summary
This is a recording of the session during our Online-Conference "INNOQ Technology Day".
Playlist of all published talks: https://www.youtube.com/playlist?list=PLnSDpJU-Yq1GCFtyWBl-HG8X7cDKOXWCy
Conference page: https://technologyday.innoq.com/programm/computational-creativity-dylan-beattie
Interested to join in 2021? We'll keep you updated: https://technologyday.innoq.com


Content
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It wasn't all that long ago that “computers” weren’t machines—they were people; humans working with pencils and slide rules to calculate taxes, artillery tables, even the mathematics that landed human beings on the moon. The advent of the microprocessor consigned these human computers to a footnote in history, and in the intervening decades, digital technology has revolutionised countless fields that were once considered too complex for automation – from mathematics and finance to music and movies. Now, as machine learning ushers in a new era of automation, we find ourselves confronting some deep questions about creativity, credit—and culpability. It’s all too easy to get sidetracked into hypothetical discussions about seldriving cars being programmed to choose which pedestrians they should kill—but there are real scenarios already happening all around us that raise exactly these kinds of questions.

When Hollywood uses digital technology to create digital characters that look uncannily like real actors, who gets the royalties? If a programmer creates an algorithm that uses Markov chains to generate song lyrics, who actually wrote the song? In a world where algorithms tell us what to watch, what to read and who to hire, can social networks still claim that they're just platforms – or should they be treated as publishers?

Join Dylan Beattie – developer, musician, and creator of the Rockstar programming language – for a fascinating journey along the border between human innovation and digital automation, from mathematics to music and beyond.

Cast
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Speaker: Dylan Beattie - https://twitter.com/dylanbeattie
Dylan Beattie is a consultant, software developer and international keynote speaker. He’s the director of Ursatile, an independent consultancy based in London that specialises in helping organisations bridge the knowledge gap between software development and business strategy. Dylan has been building data-driven web applications since the 1990s; he’s managed teams, taught workshops, and worked on everything from tiny standalone websites to complex distributed systems. He’s a Microsoft MVP, and he regularly speaks at conferences and user groups all over the world.

Dylan is the creator of the Rockstar programming language, and he’s performed his software-themed parodies of classic rock songs all over the world as Dylan Beattie and the Linebreakers. He’s online at dylanbeattie.net and on Twitter as @dylanbeattie.

Host & Director: Stefan Tilkov - https://twitter.com/stilkov


Chapters
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00:00 Start of talk
52:06 Q&A
HN Theater Rankings

Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this video.
Jan 08, 2021 · 36 points, 4 comments · submitted by mcp_
mcp_
A human (Dylan) performing a Fake-Metallica song with lyrics and music generated by AI. Welcome to a new age! Hilarious!
mikewarot
Thanks.. that was quite entertaining, and eye opening.
tromp
At the 45 min mark, he says that "The astonishing thing here is, a reasonably good human chess player with a reasonably good computer is better than any supercomputer". That may have been the case for a brief period of time and a narrow interpretation of "reasonably good", but for well over a decade, humans have had practically nothing to add to the strength of the top chess programs.
tl
This is taken out of context. Before this quote (by about 30 seconds), he quotes Magnus Carlsen, current world chess champion as saying "I don't play computers anymore, they always win." The dominance of computers is acknowledged, before it is used as a way to show how to combine human and machine intelligence.
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