Best Podcast Episodes About Google Cloud
Everything podcasters are saying about Google Cloud — curated from top podcasts
Updated: Apr 27, 2026 – 79 episodes
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Ridealong has curated the best and most interesting podcasts and clips about Google Cloud.
Top Podcast Clips About Google Cloud
“… leaving the many broader issues teens face today unaddressed. Not mutually exclusive, but of course that is a reasonable position for Metta to take. Google also put out a statement. What do you think? they're like we're not even a social media company we're a vr company no no no google said oh yeah this understands youtube which is response which is a responsibly built streaming platform not a social media site that's true uh got the wrong guy yeah i i i think of youtube very much”
“… body dysmorphia. Very, very sad situation. Very unfortunate for her, of course. In a statement, Metta said it disagrees with the verdict and plans to pursue an appeal, reducing something as complex as teen mental health to a single-cause risk, risks leaving the many broader issues teens face today unaddressed. Not mutually exclusive, but of course that is a reasonable position for Metta to take. Google also put out a statement. What do you think? they're like we're not even a social media company we're a vr company no no no google said oh yeah this understands youtube which is response which is a responsibly built streaming platform not a social media site that's true uh got the wrong guy yeah i i i think of youtube very much”
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The legal challenges against Meta and Google highlight the complexity of attributing teen mental health issues solely to social media, as broader societal factors also play a significant role.
The legal challenges against Meta and Google highlight the complexity of attributing teen mental health issues solely to social media use, as broader societal factors also play a significant role.
“… have Alex Pruden from Project 11 coming on to break it down for us at noon. So Nick Carter was talking about this. He said, many are wondering what Google saw that caused them to revise their post-quantum cryptography transition deadline to 2029 this week. It was this and it's from research Google, research.google, which we will go through. Max the VC says, Google is basically saying we've cut the quantum resources needed to break Bitcoin's encryption by 20x. We can now break it. We can prove it. We're just not going to tell you how. We've slowed down research to give crypto a chance. You have …”
“… the past year. Let's go. D-Wave is a $5 billion company. Yeah, there's apparently a bull market in Nick on our team's email inbox. Oh, yeah? Quantum companies. Really? Right now? Come on and talk about. Well, we do have someone coming on, right? We have Alex Pruden from Project 11 coming on to break it down for us at noon. So Nick Carter was talking about this. He said, many are wondering what Google saw that caused them to revise their post-quantum cryptography transition deadline to 2029 this week. It was this and it's from research Google, research.google, which we will go through. Max the VC says, Google is basically saying we've cut the quantum resources needed to break Bitcoin's encryption by 20x. We can now break it. We can prove it. We're just not going to tell you how. We've slowed down research to give crypto a chance. You have until 2029 to figure out a solution. Good luck. Elon chimed in and said, on the plus side, if you forgot your password, the password to your wallet, it will be accessible in the future. Also to everyone else. Yeah. Yeah, I don't know. I mean, how do how do property rights if somebody if somebody does have a quantum computer and they crack your …”
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Ridealong summary
Quantum computing advancements could break Bitcoin's encryption by 2029, but there's time to adapt if developers act now.
Quantum computing poses a real threat to Bitcoin's encryption, but the timeline gives the crypto community a chance to adapt before 2029.
Quantum computing advancements pose a real threat to Bitcoin's encryption, with Google suggesting a significant reduction in resources needed to break it, potentially destabilizing the cryptocurrency market.
“… bigger. Yeah. You found it. You found it. So, I mean, that was – I just lit up at that point. Yeah. Yeah. What happens if you look at that site with Google Earth? That is with Google Earth. No. No, that was the picture. That was from the Cetna. But Google Earth – and I'll tell you something about Google – yeah, that was That wasn't with Google Earth? No, the picture is a real photo. The picture of the hangar doors is a real photo. Oh, okay, I thought that was Google Earth. No, no, the picture is a real photo. The Google Earth, though, you see that in the film. Yeah. I can't make this up. I didn't …”
“… was really shocking was the first hanger was bigger. Yeah. And that's what you described. Because that was the big hanger. Yeah. Yeah. Yeah. Because the first hanger is the big hanger, but the smaller ones. And I said, Jesus, the first hanger is bigger. Yeah. You found it. You found it. So, I mean, that was – I just lit up at that point. Yeah. Yeah. What happens if you look at that site with Google Earth? That is with Google Earth. No. No, that was the picture. That was from the Cetna. But Google Earth – and I'll tell you something about Google – yeah, that was That wasn't with Google Earth? No, the picture is a real photo. The picture of the hangar doors is a real photo. Oh, okay, I thought that was Google Earth. No, no, the picture is a real photo. The Google Earth, though, you see that in the film. Yeah. I can't make this up. I didn't want to put anything in the film. That was one of my things. I didn't want to put anything in the film that would make me, the whole team, or even Bob, look like we're trying to MacGyver something in there.”
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In a surprising twist, Scott Mitchell reveals his excitement after analyzing a photo with Bob Lazar, leading to an explosive reaction when they discover the size of an alien hangar. The moment Scott realizes he’s on a video call with Lazar while discussing their findings adds a humorous layer to the intense investigation, showcasing the blend of excitement and disbelief in their conversation.
“that's just like part of Cloud Code. So that's taking up 2%. And then all of my tools that I have enabled right now, I have some MCPs, some custom agents, all of this together is taking up another 8%. And then I have a bunch of these, like right now I have Cloud and Chrome enabled. So this is one thing just right off the bat. do have a bunch of stuff that's turned on that you don't actually need and then you could go through and turn it off so that is like the quickest way …”
“that's just like part of Cloud Code. So that's taking up 2%. And then all of my tools that I have enabled right now, I have some MCPs, some custom agents, all of this together is taking up another 8%. And then I have a bunch of these, like right now I have Cloud and Chrome enabled. So this is one thing just right off the bat. do have a bunch of stuff that's turned on that you don't actually need and then you could go through and turn it off so that is like the quickest way to just make sure that you're not eating up all your context yeah um but let's let's go through an example here so let's uh let's just give cloud a task where we're going to see it eat up a lot of its own context so we just saw right now to start this off we're at 16 so i'm just going to run a pretty normal command here which is research the top …”
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Using subagents in Claude Code can drastically reduce context usage, keeping your main session clear. By delegating tasks to a clone of itself, Claude can perform complex searches without cluttering your workspace. This simple adjustment can save you from overwhelming your session with unnecessary data processing.
“… show. We are in this kind of like churning mode right now where things are just going faster and faster. I mean, case in point, there are two new Google updates today that feel like, you know, a few years ago, these would have been like major hurrahs. But like there's a new audio model from Google that is really specifically important for agentic AI audio interactions, which you and I both know really well. This is Gemini 3.1 Flash Live. and kev what i'd be interested in let's play this this uh tweet from josh woodward because there's some audio in here and we'll get a sense of like how it's …”
“… model, the spud model coming out in a few weeks. So I guess that means that we're going to keep seeing this acceleration that we've noticed in the last little bit. And I guess not surprising. Like it just feels like we're like you mentioned in the last show. We are in this kind of like churning mode right now where things are just going faster and faster. I mean, case in point, there are two new Google updates today that feel like, you know, a few years ago, these would have been like major hurrahs. But like there's a new audio model from Google that is really specifically important for agentic AI audio interactions, which you and I both know really well. This is Gemini 3.1 Flash Live. and kev what i'd be interested in let's play this this uh tweet from josh woodward because there's some audio in here and we'll get a sense of like how it's improved versus what we had before gemini i'm at the gym give me a quick three-step finisher for triceps a great finisher is triceps pushdowns with a rope attachment okay so kevin is that a great failure let me i don't know this but is that a great finisher yeah that's a totally fine finisher if you want to polish it off i mean If you got so many …”
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Google's latest audio model, Gemini 3.1 Flash Live, dramatically enhances AI audio interactions, showcasing impressive speed and responsiveness. This leap in technology demonstrates how rapidly advancements are occurring in AI, making what once seemed groundbreaking feel commonplace. With ongoing updates, the race for artificial general intelligence continues to accelerate.
“… few emails, fewer meetings. Just 11 engineers who writer Alex Davies says represented some of the best young talent in the country. And so Google builds this very quiet team, and it says to them, build us a self-driving car. And because that goal is super nebulous, they give them two challenges. They say safely log 100,000 miles on public roads, but they also give them a challenge called the Larry 1K. So Larry and Serge and I sat together and the two of them carved out a thousand total miles of road surface in California. They open up Google Maps and they just click around and they look …”
“They'd report directly to Larry Page, A small enough team that there'd be no bureaucracy, few emails, fewer meetings. Just 11 engineers who writer Alex Davies says represented some of the best young talent in the country. And so Google builds this very quiet team, and it says to them, build us a self-driving car. And because that goal is super nebulous, they give them two challenges. They say safely log 100,000 miles on public roads, but they also give them a challenge called the Larry 1K. So Larry and Serge and I sat together and the two of them carved out a thousand total miles of road surface in California. They open up Google Maps and they just click around and they look for 10 separate 100-mile routes that are really tricky. Absolutely everything, like the Bay Bridge and Lake Tao and Highway 1 to Los Angeles and Market Street and even Crooked Lombard Street. And they say to the team you have to drive each of these 100 routes without one human takeover of the system without one failure of the car To get off to a …”
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In just over a year, a team at Google successfully navigated driverless cars through complex routes in California, proving their technology works. They tackled unique challenges, celebrated each route completion with champagne, and faced internal competition that threatened their progress. This rapid success set the stage for the next phase of autonomous driving development.
“… them because you can see the similarities between how leaders lead and how companies adopt to the culture of the leader. So I think that's where Google's culture comes from, from the founders, and the founders were very product obsessed. You know, as you heard, Larry didn't want to spend time on business. I remember him going to the first ad, all hands, and he walks up and says, I got to tell you guys, I hate ads. They're intrusive and they're bad. That's a great motivational thing. These guys want to run out and go work at third. Because you just told them what they do is not interesting. But …”
“which are founder characteristics and I said, go match them. I bet many people will be able to match them because you can see the similarities between how leaders lead and how companies adopt to the culture of the leader. So I think that's where Google's culture comes from, from the founders, and the founders were very product obsessed. You know, as you heard, Larry didn't want to spend time on business. I remember him going to the first ad, all hands, and he walks up and says, I got to tell you guys, I hate ads. They're intrusive and they're bad. That's a great motivational thing. These guys want to run out and go work at third. Because you just told them what they do is not interesting. But kind of look around, like, you know, every product that they built, they didn't look in monetizing it for a very long time until they believed the product had become ubiquitous and the product had become interesting. So I think that product obsession is part of the culture I think that partly because of where their secret sauce comes from And now …”
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I passed on investing in Uber and WeWork, believing that tech must be genuine and not just masquerading as tech. This decision reflects a core principle I learned from my time at Google, where product obsession drove innovation without immediate monetization. It's a lesson in prioritizing authentic tech over hype, which shaped my approach at Palo Alto Networks.
“… also about sharing his workflow. So go check him out. And this week, everybody, go and try to make something. I'm telling you, if you get inside Cloud Code or Replit or any of these other things, the power of what these can do right now is better than you ever imagined. If you are somebody who have mostly been using ChatGPT or Cloud to answer your questions, try to make something small because this is the time.”
“… out in the past as a good follow. It's part of his shorts here. He made a great video about dinosaurs and put the baby dinosaur from the dinosaurs ABC sitcom into Jurassic Park. I don't know if you saw that. It was very good. But anyway, he's great also about sharing his workflow. So go check him out. And this week, everybody, go and try to make something. I'm telling you, if you get inside Cloud Code or Replit or any of these other things, the power of what these can do right now is better than you ever imagined. If you are somebody who have mostly been using ChatGPT or Cloud to answer your questions, try to make something small because this is the time.”
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This week, unleash your creativity with AI tools like Cloud Code and Replit! Inspired by a hilarious video where Frodo Baggins tries to pawn the One Ring, it's a reminder that innovative ideas can come from fan creations. Dive in and create something small—now is the perfect time to experiment with AI technology!
“… on this thing, and they're DeFi mulleting it, which is just like 6% yield if you sign up. So pretty cool expansion there. David, let's talk about Google and QDay and Ethereum and Bitcoin. So this caught my eye. This was March 25th. Google released a post saying quantum frontiers may be closer than they appear. We're setting a timeline for post-quantum cryptography migration to 2029. They say, as a pioneer in both quantum and PQC, it's our responsibility to lead by example and share an ambitious timeline. They said they're doing this to accelerate timelines across the industry because they think …”
“… not heard of it either, but it's kind of like a membership type of service. So think of Shopify, met Discord, met Gumroad. kind of combination for creators. And they kind of combine it all in one platform. So there's a lot of payments, a lot of assets on this thing, and they're DeFi mulleting it, which is just like 6% yield if you sign up. So pretty cool expansion there. David, let's talk about Google and QDay and Ethereum and Bitcoin. So this caught my eye. This was March 25th. Google released a post saying quantum frontiers may be closer than they appear. We're setting a timeline for post-quantum cryptography migration to 2029. They say, as a pioneer in both quantum and PQC, it's our responsibility to lead by example and share an ambitious timeline. They said they're doing this to accelerate timelines across the industry because they think quantum is nigh and it's coming closer than people think. 2029, they plan to have all Google infrastructure updated to post-quantum cryptography that, of course, wouldn't be susceptible to a quantum computing attack. Now, if they are just updating it because they want to be ambitious and aggressive, that's one thing. If they're updating it because …”
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Google has set an ambitious timeline to transition its infrastructure to post-quantum cryptography by 2029, signaling that the quantum computing threat may be closer than we think. This move is not just precautionary; it suggests that evidence of imminent quantum advancements could necessitate this upgrade. The implications of such a shift could redefine security in digital finance and beyond.
“It's a wild story. I mean, it was similar like AI for the military, the same like killer robot fears. The actual, I mean, Google was a subcontractor on that project. And what they were actually exposing to the government was TensorFlow APIs that would run on Google hardware. And so they weren't actually writing any AI software, but they wanted to effectively classify images from drones in the Middle East. See, that's a car, that's a house. And previously they had Air Force airmen just sitting there clicking, and they were like, okay, we're going to automate that. But it …”
“It's a wild story. I mean, it was similar like AI for the military, the same like killer robot fears. The actual, I mean, Google was a subcontractor on that project. And what they were actually exposing to the government was TensorFlow APIs that would run on Google hardware. And so they weren't actually writing any AI software, but they wanted to effectively classify images from drones in the Middle East. See, that's a car, that's a house. And previously they had Air Force airmen just sitting there clicking, and they were like, okay, we're going to automate that. But it was still scary, don't be evil, working with the government, military. And then there was a backlash. They pulled out, then eventually they went back in and had a new head of Google Cloud. um yeah i mean this is you know it's hard to and i speak for myself personally i obviously have the biased angle because of taiwan i have the biased angle where …”
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Google's involvement in military AI sparked backlash when they used TensorFlow to automate drone image classification, replacing Air Force airmen. Initially retreating from the project, they later returned amidst ongoing debates about tech companies' moral obligations to the military. This tension raises questions about the role of Silicon Valley in supporting national defense.
“… to do it until they can find some way to do it without completely compromising the aesthetics of the phone makes sense this also seems to me that if google had any guts at all and was at all actually interested in winning at hardware this is this is what they would do like google should just come out and just absolutely boat race everybody else's camera exactly yeah and be like look our phone's enormous it has the best camera you can buy let's fight like that's that's what google should be doing what does it have to lose like i get why apple wouldn't do this right if you're apple you have 20 years …”
“… I think already they get so much stick for how big the cameras on the iPhone Pros are. And they're tiny compared to what we're seeing from these Chinese Ultra phones. They're not on the same lead. so i think apple in particular is just not going to do it until they can find some way to do it without completely compromising the aesthetics of the phone makes sense this also seems to me that if google had any guts at all and was at all actually interested in winning at hardware this is this is what they would do like google should just come out and just absolutely boat race everybody else's camera exactly yeah and be like look our phone's enormous it has the best camera you can buy let's fight like that's that's what google should be doing what does it have to lose like i get why apple wouldn't do this right if you're apple you have 20 years of this that you don't really want to undo by making a giant ugly phone what does google have to lose go make giant ugly phones google people want good cameras they already went and did the the big camera ball first which kind of feels like it's maybe making the space to do this and i have seen someone make the point that is apple's move to the …”
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Google has a golden opportunity to dominate the smartphone market by releasing phones with oversized cameras, unlike Apple, which is hesitant to compromise aesthetics. While Apple plays it safe, Google could lead the charge in innovation by offering unique designs that prioritize camera quality. The current US market lacks options for consumers who want bold and unconventional devices, and that's a missed chance for tech giants.
“… some of this footage for their own vehicle. own purposes, should they wish to. Wow, that's so scary. That reminds me of, honestly, this case with Google recently. Google, I think it was a Nest camera or something. And this woman, Nancy Guthrie, who was the mom of a famous NBC journalist, was kidnapped. We still don't know what happened to her. But she stopped paying for her Google Nest subscription. And yet somehow they were able to pull the footage. It didn't lead anywhere. But I think everyone was asking, like, wait a minute, you said you don't have access to this footage. It turns out you do …”
“… with a competitor in the industry called Motive, they included this image, which is the CEO and CPO of Motive using their system in their own vehicle, which is pretty concerning to me because it suggests that they can review and investigate and access some of this footage for their own vehicle. own purposes, should they wish to. Wow, that's so scary. That reminds me of, honestly, this case with Google recently. Google, I think it was a Nest camera or something. And this woman, Nancy Guthrie, who was the mom of a famous NBC journalist, was kidnapped. We still don't know what happened to her. But she stopped paying for her Google Nest subscription. And yet somehow they were able to pull the footage. It didn't lead anywhere. But I think everyone was asking, like, wait a minute, you said you don't have access to this footage. It turns out you do have access to the footage. just all in their backend systems. Because you can't use the footage, but that footage can use you. Yeah, and be used against you. Exactly. And probably it will never be used in your favor. Another point which I had to raise, which the local news disincluded, was another legal issue with Samsara called Carling v. …”
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AI cameras in school buses raise serious privacy concerns, as they can track students and even review footage for personal use by companies. A recent lawsuit revealed that companies like Samsara can collect biometric data without consent, violating privacy laws. This alarming trend highlights the need for stricter data protection, especially for children.
“… going to be talking about two verdicts that were handed down against big tech companies in two major lawsuits. One was in California, where Meta and Google were found to have been negligent and failed to warn users about the addictive design of their products. And that trial involved a young woman who alleged these products contributed to her deteriorating mental health and body dysmorphia. And in the other case, in New Mexico, Meta was found liable for failing to protect children from exploitation and abuse on their apps. And actually, our very own Iza Raskin of this podcast testified at the …”
“Today we're going to be talking about two verdicts that were handed down against big tech companies in two major lawsuits. One was in California, where Meta and Google were found to have been negligent and failed to warn users about the addictive design of their products. And that trial involved a young woman who alleged these products contributed to her deteriorating mental health and body dysmorphia. And in the other case, in New Mexico, Meta was found liable for failing to protect children from exploitation and abuse on their apps. And actually, our very own Iza Raskin of this podcast testified at the trial. Hey, Iza. Hey, Tristan. So we all know in the 1990s, there was a moment when there was a series of big cases holding the big tobacco companies accountable for the harms of their toxic products. And we really feel like this might be the big tobacco moment for social media and represents a real opportunity not just to hold these companies …”
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These legal setbacks for Meta and Google could be a 'big tobacco moment' for social media, signaling a shift towards accountability and potential design changes to protect users.
The lawsuits against Meta and Google represent a 'Big Tobacco moment' for social media, potentially leading to significant changes in platform design and accountability.
“… with that and make sure that Robinhood is the best place for the quant trading, whether you're using our first party tools or whether you're using Cloud Code or Codex or any of these other things. I think the advantage that makes it difficult to just build a Robinhood is that there's all this regulatory infrastructure. You have to create a brokerage. You have to connect to all these legacy systems. There's dozens of assets to support and account types. There's IRAs, Roths, HSAs. And so it's less vibe-codable than most things. And people also have a pretty high standard for when they want to …”
“… bar to being a quant trader. Now, I don't think everyone's going to want to be a quant trader, but I think the people, the relatively small group of people that want to do this are going to generate a lot of volume. So, you know, we have to contend with that and make sure that Robinhood is the best place for the quant trading, whether you're using our first party tools or whether you're using Cloud Code or Codex or any of these other things. I think the advantage that makes it difficult to just build a Robinhood is that there's all this regulatory infrastructure. You have to create a brokerage. You have to connect to all these legacy systems. There's dozens of assets to support and account types. There's IRAs, Roths, HSAs. And so it's less vibe-codable than most things. And people also have a pretty high standard for when they want to plug their agent into their money. Probably for a while, they'll be comfortable plugging it to a self-contained, walled-off environment. But relatively few people are going to want to give unfettered access to the checking and savings accounts and the credit card. Right. So it's going to be pretty exciting, though, like to be able to say I'm taking …”
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Robinhood is revolutionizing stock trading with AI, enabling users to gain insights on stock movements directly in the app. The new Robinhood Cortex assistant allows users to chat with AI for personalized trading advice, making quant trading accessible to non-technical individuals. This innovation could reshape the financial landscape by lowering barriers for aspiring traders.
“Secrets and subterfuge in Silicon Valley. a former Google engineer has been charged with stealing files from Alphabet's self-driving car project and taking them to Uber. Specifically, it involves a former lead engineer of Google's self-driving car unit, Anthony Lewandowski. Now, he's accused of using his personal laptop and downloading more than 14,000... In 2016, Google had just spun its driverless car unit into a new entity, Waymo. Waymo sued Uber. Uber had to settle to the tune of $245 million. And …”
“Secrets and subterfuge in Silicon Valley. a former Google engineer has been charged with stealing files from Alphabet's self-driving car project and taking them to Uber. Specifically, it involves a former lead engineer of Google's self-driving car unit, Anthony Lewandowski. Now, he's accused of using his personal laptop and downloading more than 14,000... In 2016, Google had just spun its driverless car unit into a new entity, Waymo. Waymo sued Uber. Uber had to settle to the tune of $245 million. And in a separate criminal trial, Anthony Lewandowski pled guilty to stealing trade secrets. Afterwards, Uber continues their driverless car program without him, continuing to pursue its move fast, break things strategy, which in 2018 leads to the death of a woman named Elaine Hertzberg. Uber is hitting the brakes on itself driving cars after one of …”
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Uber's self-driving program faced a tragic setback when one of its autonomous vehicles struck and killed a woman named Elaine Hertzberg in 2018. Despite having a safety driver, the vehicle failed to recognize her as a pedestrian, leading to widespread criticism and a temporary halt of Uber's testing. This incident highlights the dangers of rushing autonomous technology and the consequences of cutting safety measures.
“Speaking of Google Cloud, I have my product request that I've been saving up for this section that I know you're looking forward to. You're going to post it. Exactly. Yeah. But no, I'll say one thing that works really well is the GCP MCP is awesome, where your AI can just interact programmatically with Google Cloud. And I guess you guys have exposed almost everything except like the core, you know, permissioning stuff. And I feel like in a way, part of the curse of …”
“Speaking of Google Cloud, I have my product request that I've been saving up for this section that I know you're looking forward to. You're going to post it. Exactly. Yeah. But no, I'll say one thing that works really well is the GCP MCP is awesome, where your AI can just interact programmatically with Google Cloud. And I guess you guys have exposed almost everything except like the core, you know, permissioning stuff. And I feel like in a way, part of the curse of Google Cloud has been there is so much functionality there that I'm sure you occasionally hear from people. It was like a little hard to navigate that you log in, you have to create an organization, a project and whatever and find the right services or whatever. And now all that doesn't matter. And so you just say, you know, hey, go, you know, add …”
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Ridealong summary
AI is transforming Google Cloud by simplifying how users interact with its vast functionalities. Instead of navigating complex setups, users can now programmatically access services, making the experience seamless. This shift not only enhances usability but also opens doors for consumer-facing applications that require persistent AI capabilities.
“… Yeah we actually busy building chips for a bunch of companies We typically work with hyperscalers to build their own chips Think about like the Google Amazon Microsoft Meta type companies who are building their own hardware to do both training and inference And then we also work with semiconductor companies both GPU companies, as well as networking companies. So those are the people we build for. We're building a ton of chips right now. So I would say in the next year and two years, you're going to start running on light matter hardware. These will be in the new data centers. think about like …”
“Nick, you were gonna add to this, your analysis. Yeah we actually busy building chips for a bunch of companies We typically work with hyperscalers to build their own chips Think about like the Google Amazon Microsoft Meta type companies who are building their own hardware to do both training and inference And then we also work with semiconductor companies both GPU companies, as well as networking companies. So those are the people we build for. We're building a ton of chips right now. So I would say in the next year and two years, you're going to start running on light matter hardware. These will be in the new data centers. think about like the texas stuff yeah core weave what's the one uh not star bay stargate another great film speaking of yes excellent film yeah and so there's a picture of um i think that's stargate and what you see in the middle is that plus i think is i think i was talking to jensen or the ceo of core weave about this somebody on my team will tell me i believe …”
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Tech giants like Amazon and Google are investing billions to create their own custom chips, optimizing costs and enhancing performance for AI applications. With annual spending reaching over $200 billion, these companies are transitioning from software to hardware, reshaping the infrastructure landscape. This shift is driven by a race for power and efficiency in data centers, leading to innovations like micro nuclear reactors.
“… maybe? Yeah. Yeah. So for the first, the first thing we think about with our agent harness is giving the agent access to a planning tool. So for Cloud Code users, you're, you know, very intimately familiar with the to do list that Cloud generates and then kind of checks off as it makes its way through various tasks. And this just helps your agent to like stay organized and kind of ensure that it gets through all of the various steps in a complex problem. And even just giving the agent this planning tool can help it like have a better trajectory for those harder problems. It's really wild how …”
“… like extra context and capabilities so that it can perform better. I think it's a little bit easier to understand kind of what a harness is if we talk about some of the components of an agent harness. Got it. Yeah, okay. So what are the characteristics maybe? Yeah. Yeah. So for the first, the first thing we think about with our agent harness is giving the agent access to a planning tool. So for Cloud Code users, you're, you know, very intimately familiar with the to do list that Cloud generates and then kind of checks off as it makes its way through various tasks. And this just helps your agent to like stay organized and kind of ensure that it gets through all of the various steps in a complex problem. And even just giving the agent this planning tool can help it like have a better trajectory for those harder problems. It's really wild how much the planning helps, but it really does. You know, Cloud Code and Cursor and others even have planning mode. And I think probably this harness shifts a little bit when you switch it into planning mode. It probably gets a different set of instructions that you don't even see. You're in planning mode and here's how you're going to act. And you're …”
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Ridealong summary
Deep agents, equipped with an agent harness, can tackle complex tasks far better than typical models. By utilizing planning tools and file systems, they stay organized and manage context effectively, leading to improved performance. This is akin to having a personal assistant that not only understands your goals but also knows how to execute them efficiently.
“… policy forward. And it's it's also the case that I mean, because AWS was created once after the Internet was mature. We already mean, you know, as a cloud based service, yet these guys didn't stop to think, well, what if somebody uses automated agents? to pull code from buckets and like firewalls or SSL VPN appliances that that are that they checking for new firmware and then they go out of business or they decide we don't like this bucket. We're going to move that in house, but there's all this equipment out there that is still pulling from a bucket which has been abandoned, but some bad guy …”
“… Oh, yeah, let's check this. Let's see if that works. This is just a cool thing to think of, but it's a terrifying outcome whenever it comes out to be true, right? Yeah. Yeah, we're still just on one hand, I think we're dragging legacy design and policy forward. And it's it's also the case that I mean, because AWS was created once after the Internet was mature. We already mean, you know, as a cloud based service, yet these guys didn't stop to think, well, what if somebody uses automated agents? to pull code from buckets and like firewalls or SSL VPN appliances that that are that they checking for new firmware and then they go out of business or they decide we don't like this bucket. We're going to move that in house, but there's all this equipment out there that is still pulling from a bucket which has been abandoned, but some bad guy could then register and have and provide their own download for all this equipment to download. I mean, this is a, this is a real problem. Yeah. They actually proved it to be a real problem. Yes. That's, that's terrifying. I'm glad that it's, you know, again, we're shining a light on it. That's the first step. And it's the good guys who are finding it …”
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Ridealong summary
An overlooked security flaw allows hackers to exploit abandoned cloud storage buckets, posing a serious risk to internet security. Security researchers have creatively highlighted how automated agents can unknowingly download malicious code from these unsecured locations. This alarming discovery emphasizes the need for vigilance as bad actors continue to find new vulnerabilities.
“… that's interesting. You bring up something because that's kind of interesting too that Historic whenever apple's talked about its partnership with google. They have really you the language was terse Yeah, it's clearly negotiated and agreed upon by both parties and Apple's position seemed to be to try to identify Google as one of hundreds and hundreds of subcontractors at Apple hires for all kinds of insignificant things that they would rather not deal with. As opposed to we we had bacon that need to be saved. We Googled for who can save our bacon. Number one response was Google and we made a …”
“Well fool me once, you know now i'm gonna for a while Question in a way that I might not have before. Yeah, and that's interesting. You bring up something because that's kind of interesting too that Historic whenever apple's talked about its partnership with google. They have really you the language was terse Yeah, it's clearly negotiated and agreed upon by both parties and Apple's position seemed to be to try to identify Google as one of hundreds and hundreds of subcontractors at Apple hires for all kinds of insignificant things that they would rather not deal with. As opposed to we we had bacon that need to be saved. We Googled for who can save our bacon. Number one response was Google and we made a deal. So, I mean, they're certainly going to mention it because that is part of the – it helps their story to say that, no, we're not relying on a half-baked model that we were not able to ship. We are actually relying on one of the premier shops that makes in artificial intelligence. But it's going to be interesting to see how much they want people …”
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Ridealong summary
Apple's bold move to partner with Google for AI integration could redefine their product offerings, but execution is key. While they can leverage Google's advanced models, the challenge lies in seamlessly incorporating these technologies into user-friendly features that truly resonate with consumers. If they fail to deliver on this promise, the partnership might not be the game-changer they hope for.
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