Amazon, every mention
16 scenes (2023), the whole family · ← back to Amazon
tap a year for its mentions
every year 2023 anyone Shawn Wang 54Simon Eskildsen 30Dylan Patel 19Brendan Falk 10Alessio Fanelli 10Paul Klein 8Erik Bernhardsson 8Ivan Burazin 7Eric Simons 7Eiso Kant 6
Verbatim, from the transcripts: the passages where Amazon comes up
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 3:07 Shawn Wang Um, Steve, you famously worked at Amazon. 3 times in the scene
- ▶ 18:11 Steve Yegge There's YouTube and Spotify and, you know, Amazon or whatever, right?
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- ▶ 3:04 Dylan Patel And so, you know, people talk about, you know, hey, Amazon is great, AWS is great, because yes, it is easy to use, and they've built all these things, but behind the scenes, and no one really talks about it that much, but it's like, behind… 2 times in the scene
- ▶ 3:04 Dylan Patel And so, you know, people talk about, you know, hey, Amazon is great, AWS is great, because yes, it is easy to use, and they've built all these things, but behind the scenes, and no one really talks about it that much, but it's like, behind…
- ▶ 42:14 Dylan Patel Amazon's training in Inferentia, Microsoft's in-house chip, and, you know, you go down the list, and it's like, Meta's in-house chip, and also AMD, and also all the, so all of these companies are sharing, like, a much smaller slice, 4 times in the scene
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- ▶ 10:46 Michael Royzen So I downloaded Common Crawl, and thankfully I had, like, 10 or 15,000 dollars worth of AWS credits left over from the SmartLens project. 2 times in the scene
Powering your Copilot for Data - with Artem Keydunov from Cube.dev
- ▶ 22:31 Artem Keydunov I know that some of the, you know, like AWS, uh, QuickSight, they're about to announce features like this in their, like BI, and I think Power BI will do that, especially with our deal with OpenAI.
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 28:08 Jeremy Howard oh my god, I got here, and like half of the people are fast AI alumni, um, so.
- ▶ 30:05 Jeremy Howard Like, for example, for working with EC-II on AWS, I created a fast EC-II library, which I think is, like, way more convenient and nice to use than anything else out there.
- ▶ 30:05 Jeremy Howard Like, for example, for working with EC-II on AWS, I created a fast EC-II library, which I think is, like, way more convenient and nice to use than anything else out there.
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
- ▶ 49:11 Youssef Rizk We were like on one EC two instance.
- ▶ 1:07:09 Shawn Wang Um, there's a big cloud options, Amazon Polly, Google text-to-speech, and Microsoft Cognitive Services. 2 times in the scene
- ▶ 1:07:16 Shawn Wang Uh, as someone who is ex-Amazon, I'm very embarrassed by Polly, it sucks.
RWKV: Reinventing RNNs for the Transformer Era
- ▶ 15:24 Eugene Cheah Yeah, and so we did the same thing for our AI, and the first thing that it died on was literally Amazon.
Ep 18: Petaflops to the People — with George Hotz of tinycorp
- ▶ 9:15 George Hotz And of course Amazon makes. 2 times in the scene
- ▶ 41:24 George Hotz I mean, okay, you can go to like VAST, but like if you're going to an Azure AWS, oh, that's expensive.