Amazon, every mention
237 scenes, the whole family · ← back to Amazon
tap a year for its mentions
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
🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
- ▶ 2:44 Anima Anandkumar I led AI research there, and before that at Amazon Web Services helped
- ▶ 1:09:03 Anima Anandkumar And so that's where a lot of, like, the exploration was to make this work well in practice and over into Amazon Web Services, then Nvidia.
⏭️ Forward Deployed: Voice AI on what works in 2026
- ▶ 9:01 unnamed speaker But if you are more complex, let's say you're Amazon, right, you're like a billion products on your platform, um, and you have different policies for different things.
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI
- ▶ 37:38 Alessio Fanelli Say it was, what about all of Amazon data? 2 times in the scene
Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research
- ▶ 28:31 unnamed speaker If my very routine task is somehow requesting my AWS keys, like something's wrong, even if I have it there.
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 29:09 Shawn Wang Because they accused some people, Amazon, there was some provider that was not doing very well on Kimi's benchmark. 3 times in the scene
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
- ▶ 9:42 Akshay Nathan And then they got like the picture of it, um, you know, from Amazon or wherever the courier was.
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- ▶ 27:05 Eiso Kant So we said, well, we have our training cluster, and then we've got like our AWS kind of setup where we can build these amazing big data pipelines, we can set things up, we use Spark underneath the hood, like all these things. 3 times in the scene
- ▶ 1:22:36 Eiso Kant Uh, turns out it's an Amazon trademark. 2 times in the scene
- ▶ 1:22:39 Eiso Kant I kid you not that my co-founder's next suggestion of a name was, let's call it Bedrock.
Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
- ▶ 0:04 unnamed speaker Okay, we're here in the remote studio with Danielle from Amazon AGI Lab.
- ▶ 5:09 unnamed speaker You've been part of the AI engineer circle for a couple years, originally with Odette, and then you guys joined Amazon.
- ▶ 5:16 unnamed speaker For those who haven't been too close to the story, could you reintroduce Amazon AGI Lab? 3 times in the scene
- ▶ 11:02 unnamed speaker So the conceptual thing is, uh, could you put it in context, could you put Amazon AGI in context of broader Amazon? 3 times in the scene
- ▶ 11:02 unnamed speaker So the conceptual thing is, uh, could you put it in context, could you put Amazon AGI in context of broader Amazon? 4 times in the scene
- ▶ 11:09 unnamed speaker There is the Nova group, right, which is, which is part of core Amazon.
- ▶ 28:16 unnamed speaker Are there other modalities that are part of this mix of objectives that are the sort of research agenda of Amazon AGI? 2 times in the scene
- ▶ 29:06 unnamed speaker And there's a lot of, I mean, Amazon strands is also doing that.
- ▶ 45:39 Danielle Perszyk I'm talking to many different scientists, social scientists, Amazon scholars, really anybody who has something to say about what a mind is and how we can go about building one.
- ▶ 46:15 unnamed speaker I'm really excited to work with Amazon AGI for, for the World's Fair.
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 6:42 Matthew Berman Uh, they, they just partnered with, I think it was AWS, and they, they, they landed a bunch of chip deals, a bunch of compute, uh, bandwidth deals.
- ▶ 26:04 Shawn Wang There have been companies that were all in on AWS, or all in on GCP, and there have been other companies that were multi-cloud, they're always, you know, like, I'll use the, the Terraform, the whatever. 2 times in the scene
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 8:56 unnamed speaker And that's not something AWS is doing directly.
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 36:55 Reynold Xin So from those services writing to, for example, S three or other data lake, like object stores, you can actually write them faster because now they are now smaller.
- ▶ 39:08 Matei Zaharia That's, that was actually the whole, like, sort of theory of the company was, like, instead of having, like, 20 Amazon services, you need to set up, like, uh, analytics and machine learning stack, you just have one.
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
- ▶ 42:44 unnamed speaker I sat next to this team at Amazon. 3 times in the scene
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ▶ 22:30 Ronak Malde We've hired an amazing research team from OpenAI, from MetaSuperintelligence, from Amazon AGI, and then obviously the co-founders from DeepMind and Apple, and then also really growing out the product team as well.
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 29:20 Axel Backlund Couple of weeks ago that, uh, they were discussing buying something because they can buy stuff from like Amazon with computer use.
- ▶ 34:23 unnamed speaker Doing anything more creative than, like, dropshipping on Amazon, right?
- ▶ 38:14 Axel Backlund Hey, Axel, um, I'll buy something, something from Amazon if you, like, stand in front of the camera, and I can get a good picture of you.
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 7:37 Carina Hong I think like there's a lot of push about automated reasoning at AWS, because they have a lot of enterprise customers that really requires things to be, to be a hundred percent, you know, verified, and there's no edge cases, uh, like missed…
GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle
- ▶ 1:02:32 Shawn Wang There's a thing we used to do at Amazon.
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- ▶ 34:34 Ethan He You can, you can maybe look up on AWS or something. 3 times in the scene
- ▶ 35:17 Shawn Wang Five petabytes on S three standard is 100 K per month.
Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
- ▶ 9:47 Walden Yan It was not very polished at the start, like when we just built it off of raw VMs from cloud providers like EC two, the boot up time
- ▶ 49:40 Walden Yan They use these like network file systems where things are actually cached over the network actually in S three.
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 9:22 Ivan Burazin We have like EC two, we have VMs, we have all these things, but we saw that everyone we gave it to was like 20, 30 people.
- ▶ 14:21 Ivan Burazin And so those two things, it's like combining a lambda and an EC two, right?
- ▶ 15:13 Ivan Burazin Of the underlying machine, which means your IOPS are insanely fast because there's no, you know, there's no network between an EBS or something like that, but also the snapshot, the point in time, the templates are also preloaded on the…
- ▶ 16:31 Ivan Burazin So Archill runs it literally on the S three.
- ▶ 26:04 Shawn Wang So for example, Neon, I happen to know that they are very sort of S three oriented, right? 3 times in the scene
- ▶ 29:46 Ivan Burazin Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS.
- ▶ 35:46 Ivan Burazin And the only option right now is an EC two with Windows or on, on, on Azure.
- ▶ 54:44 Ivan Burazin They would just dump it all into a JSON and then push that to S three.
- ▶ 1:09:52 Shawn Wang Are you, you know, is, is the potential new Heroku, new AWS, or new, what's new Stripe? 2 times in the scene
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 18:59 Jake Cooper And so what we can do is, um, you know, we work with AWS and GCP and a few of those, you know, other, other clouds, like we can just rent. 2 times in the scene
- ▶ 50:58 Jake Cooper I think the, the era of, like, I have an AWS instance, and I'm going to, you know, get four vCPU and 16 gigs of RAM,
- ▶ 1:28:12 Shawn Wang You know, the AWS.
Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa
- ▶ 55:16 Chai Asawa It's like, similarly, like, people may have taken it away, like, oh, Alexa or voice assistants are not that useful, but when you have quality, things can change the game.
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
- ▶ 9:31 Shawn Wang Blob S three centric view of the world that he has, which a lot of database CEOs, including Neon, uh, you know, betting heavily on, probably you don't have a strong opinion there, but just, I just want to let you respond, whatever you want. 2 times in the scene
- ▶ 37:34 Emil Eifrem What are the buckets in your S three and so on and so forth, right?
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 9:03 Shawn Wang I mean, you know, Notion is the AWS wrapper, but like the, the wrapper is very beautiful and like very well polished. 3 times in the scene
- ▶ 9:20 Sarah Sachs Um, and AWS has like a cloud watch product, but Datadog is an expert on understanding how people want observability on the products they launch.
- ▶ 10:04 Alessio Fanelli So I'm curious how you put that expertise into a product versus, you know, obviously AWS cannot build Notion.
- ▶ 24:37 Sarah Sachs Companies that say they're selling the same model through different vendors, whether it be through first party or Bedrock, Azure, et cetera, we do see different qualities sometimes, and that's not necessarily what's advertised.
- ▶ 1:23:08 Shawn Wang This is the, they, they were bought by Amazon.
⚡️ The best engineers don't write the most code. They delete the most code. — Stay Sassy
- ▶ 42:24 unnamed speaker So, and I, I do think this week it's particularly a focus because Amazon went down for like, what, six hours because of vibe coding, right? 4 times in the scene
- ▶ 46:31 Stay Sassy PM Yeah, I think, for one thing, very telling that this was Amazon, so a very, very large software company, one of the biggest software companies in the world, that also does a lot of things that really are business critical, and supports,…
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 20:14 Marc Andreessen It was like a new venture, but like the money that's being deployed now at scale is Microsoft and, you know, and Amazon and Google and Facebook and NVIDIA and, you know, these, these, these, and now, you know, by the way, OpenAI and…
- ▶ 41:30 Shawn Wang Mechanical Turk.
The Stove Guy: Sam D'Amico Shows New AI Cooking Features on America's Most Powerful Stove at Impulse
- ▶ 20:11 Sam D'Amico So I started using, I think this was Sonnet IV, I started using Sonnet IV with Cloud Code, and I was basically went and built an end-to-end fleet telemetry system from, like, Terraform, like, like, all, like, like, infrastructure in…
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
- ▶ 5:09 Simon Eskildsen So you just did, we just didn't build these systems as three and so on was not around.
- ▶ 12:55 Simon Eskildsen And S three, how many you can do, how much bandwidth can you drive per connection? 9 times in the scene
- ▶ 17:19 Simon Eskildsen It is the consistency layer, and I think also, like, this is something that most people don't realize, but S III only became consistent in December of twenty-twenty. 10 times in the scene
- ▶ 20:08 Simon Eskildsen It started getting really painful in like mid-twenty-twenty-four, because we were closing deals with, um, um, Notion actually, that was running in AWS, and we're like, trust us, you, you really want us to run this in GCP? 3 times in the scene
- ▶ 21:27 Simon Eskildsen East, the Google, like the GCP and, and AWS data centers are like within a millisecond on each other on the public exchanges. 5 times in the scene
- ▶ 37:10 Shawn Wang And like, is how much does stuff like VPC peering matter because you're working in AWS land where egress is charged and all that, you know?
- ▶ 50:58 Simon Eskildsen Like a hundred millisecond P-Nine to, um, to S-III. 2 times in the scene
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 6:40 Shawn Wang As a, you know, typical like cloud hardware person, you go into an AWS, you pick like T five, XXL, whatever, and then it's just like from a list and you look at the specs, like why animate this?
- ▶ 26:46 unnamed speaker And when you think the scale of companies deploying these, right, Amazon recommendations, Google Web Search, like, it's, it's huge scale, and you want fast.
- ▶ 26:59 Kyle Kranen Like, uh, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was, like,
- ▶ 1:12:19 Shawn Wang Mechanical Turk was this.
Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking
- ▶ 8:31 Dex Horthy And so instead of like using your SAS, they'll almost always ask you to like send the app into their data center, into their AWS cloud.
Cursor's Third Era: Cloud Agents — ft. Sam Whitmore, Jonas Nelle, Cursor
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 20:49 Alessio Fanelli Like if you think of the AWS console, right? 2 times in the scene
Dylan Patel Explains the AI War While Cooking | In-Context Cooking
- ▶ 15:41 Dylan Patel Um, if we start looking at like, Hey, um, this year Google spending, uh, Amazon spending two hundred billion dollars, Google spending one hundred eighty billion dollars.
- ▶ 24:29 Dylan Patel The stock went down and then Amazon announced two hundred billion of capex and their stock went down.
- ▶ 29:18 Dylan Patel Whether it's meta through ads, uh, whether it's, um, Google through search, uh, whether it's Amazon through AWS and Amazon.com, um, so on and so forth, right? 6 times in the scene
- ▶ 29:18 Dylan Patel Whether it's meta through ads, uh, whether it's, um, Google through search, uh, whether it's Amazon through AWS and Amazon.com, um, so on and so forth, right? 2 times in the scene
- ▶ 44:11 Dylan Patel Google, Amazon, they get to vertically integrate, integrate, and vertical integration always saves tons of money.
- ▶ 46:10 Dylan Patel Um, but like, I think the biggest bottleneck to like, hey, why, why only two hundred billion dollars this year for Amazon?
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 1:54:47 Doug O'Laughlin It's not just a, like a GitHub Azure thing. 2 times in the scene
Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z
- ▶ 55:01 Martin Casado We saw this with the cloud with EC too.
⚡️Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital
- ▶ 15:27 unnamed speaker It feels more like I am like AWS.
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
- ▶ 1:28 unnamed speaker Trying to triangulate Amazon as an AGI team, you guys have an AGI team, and then let's say Meta now has a super intelligence team.
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ▶ 59:06 Shawn Wang If you look at, um, the Amazon Nova models, which are very, very cheap,
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 12:00 David Soria Parra We literally just spent the last two days at the Google offices with a bunch of, like, scene engineers from Google, Microsoft, AWS, Anthropic, OpenAI.
- ▶ 1:33:08 Jim Zemlin Amazon was, you know, hosting virtual machines on EC two, and they were the de facto leader. 2 times in the scene
- ▶ 1:33:08 Jim Zemlin Amazon was, you know, hosting virtual machines on EC two, and they were the de facto leader.
- ▶ 1:35:53 David Soria Parra Like if I really take a neutral look at like what just happened in the industry with creating this, it's like you have Google, Microsoft, Amazon, um, uh, Block, Bloomberg, Cloudflare, OpenAI, Anthropic.
Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE
- ▶ 26:32 Steve Yegge He gave it at Amazon 20 years ago.
- ▶ 28:42 Steve Yegge And it's funny cause you know, Amazon, uh, Amazon, not on the platform, not on the deprecation stuff, not on the important stuff. 2 times in the scene
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ▶ 45:17 Joubin Mirzadegan Like it reminds me when I was in the public cloud, like my career was in the public cloud before this and the very early days, everybody was moving from on-prem to AWS.
- ▶ 45:31 Joubin Mirzadegan And all of a sudden you realize like, oh no, like S three buckets, S three buckets can just like disappear.
The Future of Email: Superhuman CTO on Your Inbox As the Real AI Agent (Not ChatGPT) — Loïc Houssier
- ▶ 46:37 Shawn Wang We used it at, uh, Amazon.
⚡️ Building the AI Hardware Engineer with Matthias Wagner, Co-founder of Flux
- ▶ 43:32 Matthias Wagner And so look, and if you can prompt something like a smartphone into existence, then why would you even still go to Amazon and spend two hours searching for a product?
- ▶ 44:16 Matthias Wagner And that's a fraction of what you pay for an off-the-shelf smartphone and off-the-shelf Alexa device, you name it, right?
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- ▶ 33:58 Deedy Das Amazon example, which is like, first you are the market where people sell, you find all the places that you can sell things that are commodity at high volume, and then you start creating batteries and Amazon branded batteries, and then you… 2 times in the scene
- ▶ 1:14:42 Alessio Fanelli Like Amazon is building all these like training chips and like all this infrastructure for Entropic.
page 1 of 3 · 100 scenes per page · newest episode first next →