Amazon, every mention
98 scenes (2023), the whole family · ← back to Amazon
tap a year for its mentions
every year 2023 anyone Alex Kantrowitz 1191M.G. Siegler 94Ranjan Roy 57Matt Wood 48Kristi Coulter 37Ryan Petersen 25Alex Stamos 23Panos Panay 22Matt Garman 21Bill Vass 19
Verbatim, from the transcripts: the passages where Amazon comes up
Intel's CEO Shares His Plan To Win The AI Chip War — With Pat Gelsinger
- ▶ 2:54 Alex Kantrowitz Which is basically ways that, um, companies like Amazon and Google will modify chips in order to be able to run AI workloads. 5 times in the scene
How Generative AI Is Changing Travel — With Priceline's Marty Brodbeck
- ▶ 17:33 Alex Kantrowitz That's what I've heard reporting on Amazon, a bunch of other companies.
- ▶ 23:02 Alex Kantrowitz You have like the big conversations about Google and open AI, Amazon, um, Microsoft.
- ▶ 23:43 Marty Brodbeck Well, I think in general, you know, the, the startup community, uh, AWS, OpenAI, Microsoft, and Google, they're all doing phenomenal jobs in terms of producing meaningful products that companies like Priceline can, can benefit from. 2 times in the scene
Silicon Valley's Effective Altruist vs. Accelerationist Religious War
- ▶ 35:43 Alex Kantrowitz You have Amazon that just invested 1.25 billion in that company.
AI Keynote: Six Bold Predictions About The Future Of Artificial Intelligence
- ▶ 4:01 Alex Kantrowitz And I know there are probably some fans of the new Amazon Lord of the Rings series that they have on Prime, but that's a Prime example. 2 times in the scene
- ▶ 8:26 Alex Kantrowitz My perspective here is that Amazon will now become the everything store for AI models, and that is going to put it in the lead of the arms race. 15 times in the scene
- ▶ 8:55 Alex Kantrowitz What I want is for you to work on Amazon Web Services. 3 times in the scene
- ▶ 10:45 Alex Kantrowitz Amazon has five hundred million Alexa connected devices, uh, in homes across the world. 2 times in the scene
- ▶ 11:14 Alex Kantrowitz Remember, this is the company that loves artificial intelligence and loves robotics so much that Jeff Bezos taped his freaking Echo onto a Roomba,
- ▶ 24:11 Alex Kantrowitz Amazon will lead the AI arms race.
Emergency Podcast: Sam Altman Fired At OpenAI
- ▶ 8:57 Sharon Goldman We're talking Anthropic, we're talking Microsoft, we're talking Google and Amazon.
Big Technology's New Release, AI Bubble Looms, Apple's Next Event — With Brian McCullough
- ▶ 3:38 Alex Kantrowitz And then finally, we have a new Amazon column, uh, coming from Christie culture. 2 times in the scene
- ▶ 12:59 Brian McCullough Uh, Amazon was also dealing with the sort of the transition to a new regime, you know, Andy Jassy taking over. 4 times in the scene
- ▶ 13:33 Alex Kantrowitz And while doing this, they've sort of, and Matt Wood was, uh, the, this VP from AWS was on the show. 4 times in the scene
- ▶ 24:17 Brian McCullough And it's not necessarily Amazon though.
- ▶ 29:57 Brian McCullough So this, before Google or Amazon or anything, like, the reason that I say that in the long term we're underestimating it, I'm not even one of these people necessarily that believes
- ▶ 53:21 Alex Kantrowitz I'm preparing to go on CNBC to talk about Amazon and others on Thursday.
A Dozen Grueling Years At Amazon — With Kristi Coulter
- ▶ 0:00 Alex Kantrowitz A twelve-year Amazon veteran with a new revealing book comes on to talk to us about the company's culture and its future. 4 times in the scene
- ▶ 0:42 Alex Kantrowitz So you worked at Amazon for a long time and you worked in the beginning, you know, when merchandising and retail was a big part of the company. 10 times in the scene
- ▶ 1:45 Kristi Coulter Um, but now it's just as like the prime offering is harder and harder to categorize, you know, like sometimes I'm like, 3 times in the scene
- ▶ 2:40 Kristi Coulter Yeah, I think that, so what I found in my time at Amazon was that Amazon, you know, senior leadership was always like three steps ahead of me, you know, so the drones, for instance, like I found out about the drones on 60 minutes along… 15 times in the scene
- ▶ 3:58 Kristi Coulter Um, just in everything I didn't see coming, you know, I, I never would have guessed, um, something like Amazon go was coming. 2 times in the scene
- ▶ 4:23 Kristi Coulter There was no Kindle.
- ▶ 4:24 Kristi Coulter There was no web services. 2 times in the scene
- ▶ 4:26 Kristi Coulter Prime.
- ▶ 9:19 Alex Kantrowitz The FTC just, uh, and we're going to talk about the FTC later, but they, um, have brought, uh, uh, some charges against Amazon or some allegations that 5 times in the scene
- ▶ 9:28 Alex Kantrowitz They made it impossible to cancel prime. 7 times in the scene
- ▶ 12:35 Alex Kantrowitz You know, uh, Amazon built like crazy to get, get in front of the pandemic and try to keep up with consumer demand and almost maybe thinking that this was potentially going to be behavior change forever that people would just order online… 7 times in the scene
- ▶ 15:38 Alex Kantrowitz Okay, so let's talk a little bit about, we sort of just got into it a bit, but let's talk a little bit about the culture and your experience inside the company. 14 times in the scene
- ▶ 19:27 Kristi Coulter Um, and so the people who do thank you end up seeming like, like living saints, you know, like I worked for Steve Kessel, who was the SVP who's, who started Kindle.
- ▶ 19:39 Kristi Coulter And he ran Amazon Go, and Steve is a kind man.
- ▶ 22:11 Kristi Coulter Um, the merchandiser role at Amazon, so kind of one of the main retail roles, and I had sold it to this other group of VPs and SVPs, including Jeff Wilkie, and, you know, they had questions and quibbles, of course, but we're on board,… 4 times in the scene
- ▶ 25:56 Alex Kantrowitz You, you mentioned that you thought that you'd be unemployable because, you know, companies had, for instance, like said, we're not bringing Amazon people in because they can't kind of came in hardened and, okay, I have their cover in a… 18 times in the scene
- ▶ 26:52 Kristi Coulter And I actually, late in my career at Amazon go, we ended up hiring a bunch of people from Starbucks corporate.
- ▶ 30:09 Kristi Coulter Um, you know, I worked with Nader Cabani back when he was in Kindle.
- ▶ 32:43 Alex Kantrowitz What good did you see inside Amazon's culture that, that you appreciated? 9 times in the scene
- ▶ 33:53 Kristi Coulter I got to work on Amazon Go.
- ▶ 36:11 Alex Kantrowitz I, um, when I talk about Amazon culture and the things that I think are interesting in it, like one of the ways that I look at it is just like the Maslow hierarchy of needs or like subsistence is at the bottom and self-actualization is at… 2 times in the scene
- ▶ 38:24 Alex Kantrowitz What are some good operational things that happened at Amazon that other companies could put into play? 3 times in the scene
- ▶ 43:13 Alex Kantrowitz So this is a heretical question to ask about Amazon, but I'm going to ask it anyway. 10 times in the scene
- ▶ 47:24 Kristi Coulter And so when we built Amazon Go, my mind was full of every vicious fear people could have.
- ▶ 48:09 Alex Kantrowitz I guess you call it a product that Amazon offers. 7 times in the scene
- ▶ 48:15 Alex Kantrowitz It knows exactly what you took, but Amazon has also been shutting some ghost doors. 5 times in the scene
- ▶ 48:55 Kristi Coulter It wasn't even in, um, Amazon fresh stores at the time. 2 times in the scene
- ▶ 49:18 Kristi Coulter People to be able to go to Bloomingdale's and buy jeans this way, uh, bookstores, Amazon books, which of course no longer exists, you know, um, anything you want.
- ▶ 50:27 Alex Kantrowitz Wouldn't be an Amazon podcast if we didn't ask Jeff Bezos question. 4 times in the scene
- ▶ 55:47 Alex Kantrowitz You can pick it up in bookstores and on Amazon today. 2 times in the scene
Google’s Weird Year + Neeva Goes to Snowflake — With Sridhar Ramaswamy
- ▶ 3:11 Sridhar Ramaswamy Uh, remember this was the time of, uh, um, Alexa, uh, and all the devices that Amazon was rolling out.
- ▶ 3:11 Sridhar Ramaswamy Uh, remember this was the time of, uh, um, Alexa, uh, and all the devices that Amazon was rolling out. 3 times in the scene
- ▶ 22:21 Sridhar Ramaswamy I don't know about you, uh, but I find shopping on the web to be incredibly difficult if it is not like the 20 items that I keep buying from Amazon over and over again.
Amazon Reveals Its AI Master Plan — With Matt Wood
- ▶ 0:00 Alex Kantrowitz So Matt, I, I did my research about where Amazon fits in the generative AI space. 3 times in the scene
- ▶ 0:12 Alex Kantrowitz Okay, you're dabbling that in that area, in those areas, but I don't know if you stand out there yet, but where you are really trying to compete is in this space where companies, the big companies bring their models inside AWS, and then… 2 times in the scene
- ▶ 3:14 Alex Kantrowitz We'd like to make it available to your clients through AWS.
- ▶ 3:20 Matt Wood Um, and what we do then is we take the, the model and the weights and we put it inside a capability, our machine learning service that we have called SageMaker. 6 times in the scene
- ▶ 3:50 Alex Kantrowitz But you have a newer product that's called Bedrock, which allows people to build things like agents, for instance. 2 times in the scene
- ▶ 4:03 Alex Kantrowitz And, and I'd really love to hear, you know, about Amazon's progression from SageMaker to Bedrock. 4 times in the scene
- ▶ 5:54 Matt Wood That's right, and then our approach is to find areas that are really, really valuable, the customers, real problems the customers are trying to solve, and then add capabilities to bedrock to make those problems smaller. 2 times in the scene
- ▶ 7:03 Matt Wood And so one of the things we're adding to bedrock is the ability to be able to provide that information to the language model, uh, using your own private data, uh, inside the applications that are already run in the Amazon cloud. 2 times in the scene
- ▶ 9:34 Matt Wood And to be able to leverage the investments that they've already made in that data on AWS using completely novel capabilities in addition to existing models and novel models as well.
- ▶ 10:38 Alex Kantrowitz We're going to talk about them, but Amazon seems to be less, it has less at stake in terms of making yours work.
- ▶ 11:31 Matt Wood You'd be surprised how many customers have exabytes of data on AWS, and they can take that data that they've invested in, and they can use it with these models to create a net new asset for their organization. 2 times in the scene
- ▶ 11:47 Alex Kantrowitz So I have a note here, and it's just like, man, you guys did Alexa first, so why didn't you end up
- ▶ 11:58 Alex Kantrowitz I mean, the fact that, like, we thought we were going to be talking to intelligent assistants everywhere is kind of an Amazon idea. 6 times in the scene
- ▶ 12:09 Alex Kantrowitz You guys understood that we'd want to be talking to computers, and yet, you know, we just mentioned that you have your own LLM, your own model that's right there for people to access in Bedrock.
- ▶ 13:14 Alex Kantrowitz Don't put your Echo in the microwave.
- ▶ 16:34 Matt Wood So none of the information that is used with our bedrock service is used to improve the underlying models.
- ▶ 17:12 Alex Kantrowitz Because let me, let me just tell you Amazon, I'm sorry, Andreessen Horowitz, I just read they think that cloud on top of AI, the opportunity is 10 to 20% of this gen AI spend. 6 times in the scene
- ▶ 18:24 Matt Wood AI part of, um, our cloud computing business was larger than the rest of AWS combined in a couple years.
- ▶ 18:55 Matt Wood I'm just, I think you can expect for sure to see new invention and innovation coming from Alexa and devices and our retail stores and our ads business.
- ▶ 19:32 Alex Kantrowitz Do you, do you think, how important is it for a company to establish a lead in this moment, and can you sit here and tell me with a straight face that Amazon is ahead of Microsoft? 2 times in the scene
- ▶ 20:05 Alex Kantrowitz Now, it wasn't everybody going at the same time, and you were very early in AWS, so you know this, but AWS kind of ran away with the cloud computing field or cloud services field. 4 times in the scene
- ▶ 21:34 Alex Kantrowitz So I'd like to hear a little bit more about like the practical level of, and maybe you can go step by step of like what, and briefly, but like what people would build with the AWS services. 2 times in the scene
- ▶ 26:41 Matt Wood On AWS, and then use a machine learning algorithm to build their own chatbot, which is Bloomberg GPT, and they ran all of that inside our, um, cloud computing infrastructure. 2 times in the scene
- ▶ 26:53 Alex Kantrowitz So where, where does Amazon get paid in that loop? 2 times in the scene
- ▶ 29:32 Alex Kantrowitz He follows Amazon closely. 2 times in the scene
- ▶ 30:03 Matt Wood And so that, that is a huge investment that we've been making at AWS for nearly a decade now.
- ▶ 30:54 Alex Kantrowitz He's a VP of product at AWS, focused on AI.
- ▶ 30:58 Alex Kantrowitz So, you mentioned that you have your own models, um, your own LLMs, and that's actually something that's available if people want to build within, uh, Bedrock.
- ▶ 31:10 Alex Kantrowitz They can pick, it's Titan. 4 times in the scene
- ▶ 31:22 Alex Kantrowitz I mean, it seems so good up until the point where you start building your own model, and now all of a sudden, you're running into the same problem that we talked about in the first step that Microsoft has, where, like, if I'm building… 2 times in the scene
- ▶ 33:35 Alex Kantrowitz But even the Alexa example shows that, like, there was all of us, there originally was this whole range of things we wanted to do, and then the tasks narrowed.
- ▶ 35:29 Matt Wood What makes me so convinced is that, uh, the level of, uh, invention and efficiency and automation that we've seen inside the company and that our customers are experiencing, uh, 2 times in the scene
- ▶ 36:36 Matt Wood I like a lot of our customers at AWS, and it is inspiring.
- ▶ 37:54 Alex Kantrowitz Is it AWS learning from the rest of the workflow inside Amazon, or people inside Amazon learning from AWS? 3 times in the scene
- ▶ 37:54 Alex Kantrowitz Is it AWS learning from the rest of the workflow inside Amazon, or people inside Amazon learning from AWS? 2 times in the scene
- ▶ 38:18 Matt Wood And so, number one, we're enabling all of our builders, all of our software engineers, in which we have a pretty large number, to be able to experiment and, um, try out large language models through Bedrock.
- ▶ 39:36 Alex Kantrowitz Uh, it's interesting because I think that there's minimal awareness that Amazon has a, um, its own LLM in Titan, and there's even, I think, less awareness in the general public. 3 times in the scene
- ▶ 39:36 Alex Kantrowitz Uh, it's interesting because I think that there's minimal awareness that Amazon has a, um, its own LLM in Titan, and there's even, I think, less awareness in the general public.
- ▶ 40:41 Matt Wood And the, ah, machine learning work use cases very quickly rose to the top, and so we've been investing there in terms of building out custom silicon that you can deploy on AWS today,
- ▶ 41:32 Alex Kantrowitz Uh, so you have your own LLM Titan. 3 times in the scene
- ▶ 44:17 Alex Kantrowitz How do you think he would feel if people inside Amazon started using generative AI for their six pagers?
- ▶ 46:00 Alex Kantrowitz Amazon's culture. 6 times in the scene
- ▶ 46:07 Alex Kantrowitz The point of the book is that the company operates as if it's a startup on its first day, and the culture has been extremely intentionally built that way by Bezos, and there was a story recently about how Amazon has more of a big company…
- ▶ 49:36 Alex Kantrowitz Uh, the news is, is gearing up for the FTC to bring up a lawsuit to break up Amazon. 3 times in the scene
My Experience Aboard The OceanGate Sub — With David Pogue of CBS
- ▶ 26:32 Alex Kantrowitz You can go check them out on Amazon or with your local bookstore.
Blake Lemoine and Gary Marcus Debate AI Chatbots
- ▶ 10:59 Gary Marcus And, and the answer, you know, Alexa, like, just shut down a lot of their operation. 2 times in the scene
David Friedberg — How Technology Solves Our Climate Crisis
- ▶ 0:06 Alex Kantrowitz We spend a lot of time paying attention to the big tech companies, Facebook, Google, Amazon, Apple, Microsoft, a lot of time talking about Twitter, a lot of time talking about AI on the show.