Amazon, every mention
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every year 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
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
- ▶ 12:15 Karan Malhotra Apple, Google, Facebook, Amazon, Microsoft, and Anthropic.
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
Breaking down the OG GPT Paper by Alec Radford
- ▶ 55:06 unnamed speaker So you get your, let's say, Amazon review, and you append the token Vary to the review and restrict the language to generate only two tokens, one of two tokens, positive or negative, and you, you see which token has the higher score or…
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
- ▶ 11:46 Damien Murphy I'm actually at an AWS hacker space for a meetup with personal AI.
- ▶ 24:09 Ethan Sutin So, we're using hot words here, which I, I don't believe is the best paradigm, but, but for now, we have some other ideas, but, but for now, similar to Alexa or Siri, I can, um, basically inform my AI that I'm giving it a command that it…
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
- ▶ 55:56 Ben Firshman So we were working on, like, productionizing Docker containers, and Olama was working on a thing called Kitematic, which was a bit like a, a desktop app for Docker.
- ▶ 58:34 Ben Firshman Like, GPUs are hard to get hold of if you, like, if go to AWS and ask for one A-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E-E
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 15:08 Erik Bernhardsson And, and I think like modal sort of goes one step further in the sense that like, what if you also put the app code inside the infrastructure code and like glue it all together and then like you only have one single place that defines…
- ▶ 16:30 Erik Bernhardsson Yeah, it's like, you just, like, say, you know, on the function decorator, you're like, GPU equals, you know, a 100, and then, or like, GPU equals, you know, uh, a 10 or a T four, something like that, and then you get that GPU, and like,…
- ▶ 16:48 Shawn Wang Yeah, so, um, uh, on my end, the reason I wrote self-revisioning runtimes was, um, I was working at AWS, and, uh, we had AWS CDK, which is kind of like, you know, the Amazon basics blew me. 5 times in the scene
- ▶ 25:38 Erik Bernhardsson And, um, so in many cases, like that actually leads to a sort of interesting thing where like we obviously run our things on like the public cloud, like AWS GCP, we run on Oracle.
- ▶ 34:45 Erik Bernhardsson And I, I think Snowflake, you know, to me won because like, I mean, in the end, like AWS makes all the money anyway, like, and, and like Snowflake just had the ability to like focus on like developer experience or like, you know, or user…
- ▶ 34:45 Erik Bernhardsson And I, I think Snowflake, you know, to me won because like, I mean, in the end, like AWS makes all the money anyway, like, and, and like Snowflake just had the ability to like focus on like developer experience or like, you know, or user…
- ▶ 35:55 Erik Bernhardsson So they would just go and like move it to, you know, whatever AWS or, you know, in particular, uh, and, and, you know, that's something that keeps me up at night too.
- ▶ 55:22 Erik Bernhardsson Uh, and yeah, like, compared to, you know, I mean, I mean, we love AWS and AGCP, too. 2 times in the scene
Building an open AI company - with Ce and Vipul of Together AI
- ▶ 31:34 Vipul Ved Prakash Which, when you compare to the cloud computing of today, you know, AWS's last year was eighty eight billion dollars in revenue.
- ▶ 38:51 Ce Zhang If you go to AWS, you do know which region you are in, right? 2 times in the scene
The State of AI in production — with David Hsu of Retool
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 52:21 unnamed speaker You know, there's a market for the, the, the, the Amazon basics of, like, everything, you know, one model has everything, and then there's a market for, no, like, the basics are not good enough. 2 times in the scene
- ▶ 58:16 unnamed speaker This guy was the former, uh, GM of AWS RDS. 3 times in the scene
The Accidental AI Canvas - with Steve Ruiz of tldraw
- ▶ 57:23 unnamed speaker Like, uh, as someone who has, uh, works at AWS, um, I see a lot of systems diagrams, like cloud diagrams, um, entity relationship diagrams for database schema. 2 times in the scene
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.
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