Patreon Preview: How Cloud Giants Cement Their Power w/ Cecilia Rikap

Tech Won't Save Us

Paris Marx

Silicon Valley, Books, Technology, Arts, Future, Tech Criticism, Socialism, Paris Marx, News, Criticism, Tech News, Politics

4.8 • 626 Ratings

🗓️ 19 November 2024

⏱️ 6 minutes

🔗️ Recording | iTunes | RSS

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Summary

Our Data Vampires series may be over, but Paris interviewed a bunch of experts on data centers and AI whose insights shouldn’t go to waste. We’re releasing those interviews as bonus episodes for Patreon supporters. Here’s a preview of this week’s premium episode with Cecilia Rikap, an Associate Professor in Economics at University College London. For the full interview, support the show on Patreon. Support the show

Transcript

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0:00.0	Hey, this is Paris. I hope you enjoyed the Data Vampire series that we did back in October.
0:04.6	It's had a fantastic response. And for that series, I spoke to a bunch of experts.
0:09.5	And now we're releasing the full-length versions of those interviews for our supporters over on patreon.com.
0:15.4	And I wanted to give you a preview of what those interviews sound like.
0:19.6	So you can consider whether to go to patreon.com
0:22.3	slash tech won't save us, become a supporter yourself, so you can learn even more about the
0:26.9	important topics that we dug into in that special series. So enjoy this clip from my interview
0:32.2	with Cecilia Rickap. Over the past year and a half or so, we have been in this moment where generative AI specifically is the next big thing in the tech sector.
0:43.3	How does the proliferation of generative AI and the growth of that as an industry further cement the power and position of these cloud giants, Amazon, Microsoft, and Google.
0:54.8	So one thing that happened as soon as ChachyPT was released and one thing that is different
0:59.7	from the AI that we were living with before is that it was massively adopted.
1:05.4	Everyone started using it.
1:07.2	And it's very easy to use it for different purposes.
1:10.6	I always make the comparison between
1:12.4	JatGPT and, let's say, Amazon's search engine or Amazon's algorithms for setting prices in its marketplace.
1:21.7	These are also extremely advanced AI algorithms, but one algorithm that is developed to set prices cannot then do a translation
1:30.0	or create you a nice picture out of a text and so on and so forth. The uses are much more limited.
1:37.6	And because Generative AI enables you in a very easy way to use AI for your own daily life. And also because ChachupD has a free version
1:48.1	that has speed up the adoption process. Not only of ChachupT itself, and this is interesting,
1:54.7	because even if all the so-called good things about generative AI are questioned, and it's not as accurate as other
2:04.0	AI models, for instance, precisely because of this plasticity, this capacity to be doing many
2:10.1	things at the same time, which comes from different training methods and different algorithms
	...

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