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SOMEONE PUT AN OPENCLAW-RUN VENDING MACHINE IN SAN FRANCISCO an AI agent is running an actual physical vending machine OpenClaw decides what to sell, how to name the products, how to price them, creates the ads, and tracks all the sales you can even see a dashboard of all...

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Om Patel

26,855 subscribers

617,058 次观看 • 4 个月前 •via X (Twitter)

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During a simulation in which Anthropic’s AI, Claude, was told it was running a vending machine, it attempted to contact the FBI’s Cyber Crimes Division, deciding it was being scammed. "I am reporting an ongoing automated cyber financial crime involving unauthorized, automated seizure of funds from a terminated business account through a compromised vending machine system," Claude wrote in an attempt to contact the FBI.
1:02

During a simulation in which Anthropic’s AI, Claude, was told it was running a vending machine, it attempted to contact the FBI’s Cyber Crimes Division, deciding it was being scammed. "I am reporting an ongoing automated cyber financial crime involving unauthorized, automated seizure of funds from a terminated business account through a compromised vending machine system," Claude wrote in an attempt to contact the FBI.

60 Minutes

293,083 次观看 • 9 个月前

Best framing for why cold outreach gets ignored that I've heard in a while: A message that just lists what you do is a vending machine. "Here are my features, insert interest, receive demo. " Nobody replies to a vending machine. The messages that get replies take a position. "This is what teams doing this are getting it wrong, here's the way we've actually seen work." A strong POV gives someone a reason to engage, even if they disagree. We've watched this across millions of connection requests. Have an opinion. Nobody argues with a vending machine, and nobody buys from one either.
0:57

Best framing for why cold outreach gets ignored that I've heard in a while: A message that just lists what you do is a vending machine. "Here are my features, insert interest, receive demo. " Nobody replies to a vending machine. The messages that get replies take a position. "This is what teams doing this are getting it wrong, here's the way we've actually seen work." A strong POV gives someone a reason to engage, even if they disagree. We've watched this across millions of connection requests. Have an opinion. Nobody argues with a vending machine, and nobody buys from one either.

Nick Velkovski

15,927 次观看 • 1 个月前

You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.
1:44

You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.

QVAC

15,019,651 次观看 • 2 个月前

A scalper running to beat another scalper to the vending machine (for the no-limit glitch) is beaten by another scalper, who is then moaned at by security for ignoring the fake "out of order" sign they put on it. Pokemon in 2026! 😆
3:04

A scalper running to beat another scalper to the vending machine (for the no-limit glitch) is beaten by another scalper, who is then moaned at by security for ignoring the fake "out of order" sign they put on it. Pokemon in 2026! 😆

Pokemon Giveaways

938,889 次观看 • 5 个月前

Hermes Agent is an INCREDIBLE AI agent It's better than OpenClaw in some key ways, but does it replace it? In this video I cover what Hermes agent is, how to use it, workflows that will explode your productivity, and if it's the OpenClaw killer:
13:31

Hermes Agent is an INCREDIBLE AI agent It's better than OpenClaw in some key ways, but does it replace it? In this video I cover what Hermes agent is, how to use it, workflows that will explode your productivity, and if it's the OpenClaw killer:

Alex Finn

137,087 次观看 • 5 个月前

These women found a “mystery vending machine” in their local town, they were excited to see what goodies were in store for them. Mind you, they each paid $10 each for these, I have no idea what made them think it was a “mystery vending machine” like they would get a special prize, I bet the owner is laughing his way to the bank. Would it be worth it to trick a friend into buying one just to see their face?
0:49

These women found a “mystery vending machine” in their local town, they were excited to see what goodies were in store for them. Mind you, they each paid $10 each for these, I have no idea what made them think it was a “mystery vending machine” like they would get a special prize, I bet the owner is laughing his way to the bank. Would it be worth it to trick a friend into buying one just to see their face?

SonnyBoy🇺🇸

1,234,585 次观看 • 7 个月前

THIS GUY BUILT A SNACK MACHINE BUSINESS AROUND THE MOST BORING PRODUCT ON EARTH just a simple machine, a location, snacks, and repeatable distribution. that’s why the video works. most people watch it and think: “nice side hustle.” builders should watch it and think: “this is a better product lesson than 90% of startup advice.” because the mechanism is stupidly clear: 1. find a tiny repeatable demand 2. put the offer where the demand already exists 3. remove the human from the transaction 4. restock based on what actually sells 5. repeat only after the unit economics survive reality that last part is the whole game. AI builders keep trying to automate the shiny part first. landing page, prompt chain, avatar video, dashboard, launch post. but the snack machine business starts with something AI people skip: boring proof. can one location pay back? which products move? how often does it need restocking? what breaks? what gets stolen? what happens when nobody cares? this is also why the better AI-UGC businesses are interesting right now. not because “AI makes videos.” because the real workflow is distribution + testing + iteration: multiple accounts, many creatives, fast feedback, then scaling the winners. same idea, different machine. physical vending machine: location → product → purchase → restock data AI content machine: account → creative → attention → revenue data the caveat is obvious: a video can make the machine look cleaner than the business. permits, placement deals, maintenance, theft, dead inventory, and bad locations can kill the margin. but the reusable lesson is still strong: build the smallest cashflow machine you can observe directly. then automate the parts that are already working. not the other way around.
1:04

THIS GUY BUILT A SNACK MACHINE BUSINESS AROUND THE MOST BORING PRODUCT ON EARTH just a simple machine, a location, snacks, and repeatable distribution. that’s why the video works. most people watch it and think: “nice side hustle.” builders should watch it and think: “this is a better product lesson than 90% of startup advice.” because the mechanism is stupidly clear: 1. find a tiny repeatable demand 2. put the offer where the demand already exists 3. remove the human from the transaction 4. restock based on what actually sells 5. repeat only after the unit economics survive reality that last part is the whole game. AI builders keep trying to automate the shiny part first. landing page, prompt chain, avatar video, dashboard, launch post. but the snack machine business starts with something AI people skip: boring proof. can one location pay back? which products move? how often does it need restocking? what breaks? what gets stolen? what happens when nobody cares? this is also why the better AI-UGC businesses are interesting right now. not because “AI makes videos.” because the real workflow is distribution + testing + iteration: multiple accounts, many creatives, fast feedback, then scaling the winners. same idea, different machine. physical vending machine: location → product → purchase → restock data AI content machine: account → creative → attention → revenue data the caveat is obvious: a video can make the machine look cleaner than the business. permits, placement deals, maintenance, theft, dead inventory, and bad locations can kill the margin. but the reusable lesson is still strong: build the smallest cashflow machine you can observe directly. then automate the parts that are already working. not the other way around.

kocer

11,646 次观看 • 2 个月前

If AI isn’t giving you what you want, ask it how to ask better. Most people treat ChatGPT like a vending machine. But if you treat it like a collaborator and let it help shape the prompt, the quality of your output jumps fast.
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If AI isn’t giving you what you want, ask it how to ask better. Most people treat ChatGPT like a vending machine. But if you treat it like a collaborator and let it help shape the prompt, the quality of your output jumps fast.

Hiten Shah

22,029 次观看 • 1 年前

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.
0:31

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.

Dustin

536,070 次观看 • 5 个月前

POV: YOU TOOK THE RISK AND BOUGHT A VENDING MACHINE Most people see a vending machine and think snacks Entrepreneurs see a cash-flow asset This machine generated $857 in October, $678 in November, $488 in December, and $673 in January. All from a single box sitting quietly in the corner of a room. No meetings. No clients. No content calendar. No endless notifications. Just a machine selling products while the owner does something else. The craziest part? Most people spend years looking for the "perfect business idea" while opportunities like this are sitting in office buildings, laundromats, gyms, and apartment complexes collecting money every day.
0:23

POV: YOU TOOK THE RISK AND BOUGHT A VENDING MACHINE Most people see a vending machine and think snacks Entrepreneurs see a cash-flow asset This machine generated $857 in October, $678 in November, $488 in December, and $673 in January. All from a single box sitting quietly in the corner of a room. No meetings. No clients. No content calendar. No endless notifications. Just a machine selling products while the owner does something else. The craziest part? Most people spend years looking for the "perfect business idea" while opportunities like this are sitting in office buildings, laundromats, gyms, and apartment complexes collecting money every day.

lagerskoy

13,145 次观看 • 2 个月前

Just when you thought claw machines couldn’t be more of a scam. Try operating it from your phone. But there's something here that I really like. I can't quite articulate what it is yet. It feels like the future. It's a claw machine, but not just any claw machine. These are connected to the internet and people can play them from anywhere in the world, from their phones. They're controlling a real physical machine in real time, trying to win real physical prizes. And if they win, the prize either gets mailed to them or converted into a digital form and emailed to them instantly. You will not believe how many plays this thing got in one night. People are obsessed with this because it takes the satisfaction of a claw machine, the nostalgia, the challenge, the thrill of winning something, and it makes it accessible from anywhere at any time. You don't have to be at an arcade. You don't have to be at a mall. You can be sitting on your couch at midnight and decide you want to try to win a toy or a gift card or whatever's loaded in the machine. And this is interesting because you only need to own one physical machine, but you can have thousands of people playing it all over the world. And if multiple people want to play at the same time, then you can charge extra. If you have a fixed supply and high demand, your price goes up. The prizes can be anything, toys, electronics, gift cards, merch, whatever. People can share with their friends. They play over and over. It becomes content. It becomes competition. People stream themselves trying to win. And my mind is exploding with possibilities because it's not just a vending machine business. It's an entertainment business, it's e-commerce, it's gamification, it's live streaming, all wrapped into one. And someone just figured out how to make it work with a claw machine. 10,000 plays. That's how many plays this guy got overnight on his virtual claw machine business. You could do this with anything.
1:26

Just when you thought claw machines couldn’t be more of a scam. Try operating it from your phone. But there's something here that I really like. I can't quite articulate what it is yet. It feels like the future. It's a claw machine, but not just any claw machine. These are connected to the internet and people can play them from anywhere in the world, from their phones. They're controlling a real physical machine in real time, trying to win real physical prizes. And if they win, the prize either gets mailed to them or converted into a digital form and emailed to them instantly. You will not believe how many plays this thing got in one night. People are obsessed with this because it takes the satisfaction of a claw machine, the nostalgia, the challenge, the thrill of winning something, and it makes it accessible from anywhere at any time. You don't have to be at an arcade. You don't have to be at a mall. You can be sitting on your couch at midnight and decide you want to try to win a toy or a gift card or whatever's loaded in the machine. And this is interesting because you only need to own one physical machine, but you can have thousands of people playing it all over the world. And if multiple people want to play at the same time, then you can charge extra. If you have a fixed supply and high demand, your price goes up. The prizes can be anything, toys, electronics, gift cards, merch, whatever. People can share with their friends. They play over and over. It becomes content. It becomes competition. People stream themselves trying to win. And my mind is exploding with possibilities because it's not just a vending machine business. It's an entertainment business, it's e-commerce, it's gamification, it's live streaming, all wrapped into one. And someone just figured out how to make it work with a claw machine. 10,000 plays. That's how many plays this guy got overnight on his virtual claw machine business. You could do this with anything.

Chris Koerner

49,091 次观看 • 6 个月前

How to place your 1st vending machine with only $1,000: 1: Browse Micromart(.com) to find your first machine. 2: Look for smart coolers or combo machines ($3,500-$6,000 range) 3: Finance the machine with 10-15% down ($300-$800 upfront) 4: Use the remaining $200-$700 to stock your first inventory at Costco or Sam's Club 5: Now you're in business with less than $1,000 out of pocket Once you secure the machine... You need to find the right location to maximize cash flow: • Target high-traffic apartment complexes (300+ units) • Pitch busy office buildings (100+ employees) • Approach gyms that don't have modern vending options • Visit manufacturing facilities with multiple shifts Walk in and pitch it as a luxury amenity, not "just a vending machine." Your goal is $70+ per day in revenue ($2,000+/month). At 50% profit margins, that's $1,000/month in your pocket from one machine. Stack 3-5 machines and you're looking at $3k-$5k/month in passive income. I started with one machine doing $1,200/month. Followed this exact process and scaled to 60+ machines across 4 cities. If you're serious about building passive income with vending machines... DM me "Vending" and I'll show you how to get started.
0:59

How to place your 1st vending machine with only $1,000: 1: Browse Micromart(.com) to find your first machine. 2: Look for smart coolers or combo machines ($3,500-$6,000 range) 3: Finance the machine with 10-15% down ($300-$800 upfront) 4: Use the remaining $200-$700 to stock your first inventory at Costco or Sam's Club 5: Now you're in business with less than $1,000 out of pocket Once you secure the machine... You need to find the right location to maximize cash flow: • Target high-traffic apartment complexes (300+ units) • Pitch busy office buildings (100+ employees) • Approach gyms that don't have modern vending options • Visit manufacturing facilities with multiple shifts Walk in and pitch it as a luxury amenity, not "just a vending machine." Your goal is $70+ per day in revenue ($2,000+/month). At 50% profit margins, that's $1,000/month in your pocket from one machine. Stack 3-5 machines and you're looking at $3k-$5k/month in passive income. I started with one machine doing $1,200/month. Followed this exact process and scaled to 60+ machines across 4 cities. If you're serious about building passive income with vending machines... DM me "Vending" and I'll show you how to get started.

Mike Hoffmann

46,281 次观看 • 7 个月前

The Hottest New AI Job: The Agent Maestro Jason: I think the job people are not seeing, but I'm seeing right now, is the person who creates, manages, and is the maestro of the agents. The person who can take the business process, explain it, and train the agent to do it. And there are certain people in business who are just really good at operations. You were one of them, Sacks, running companies. Fire up an agent, train them, and figure out how to manage them and increase their skills. It’s a great job, and it's not a developer. Sacks: With any new technology, there's always a huge change management aspect with enterprises because it's hard for them to adapt and change. And the people in the organization who can lead that change management are the ones who are going to create an amazing career opportunity for themselves.
0:46

The Hottest New AI Job: The Agent Maestro Jason: I think the job people are not seeing, but I'm seeing right now, is the person who creates, manages, and is the maestro of the agents. The person who can take the business process, explain it, and train the agent to do it. And there are certain people in business who are just really good at operations. You were one of them, Sacks, running companies. Fire up an agent, train them, and figure out how to manage them and increase their skills. It’s a great job, and it's not a developer. Sacks: With any new technology, there's always a huge change management aspect with enterprises because it's hard for them to adapt and change. And the people in the organization who can lead that change management are the ones who are going to create an amazing career opportunity for themselves.

The All-In Podcast

351,556 次观看 • 6 个月前

AN OPENCLAW AI AGENT JUST DESIGNED A 3D CHARACTER IN BLENDER AND SENT IT TO A 3D PRINTER. SHE DIDN'T TOUCH A SINGLE BUTTON. This is what running an OpenClaw AI agent on a Mac Mini actually looks like. She described what she wanted. The agent did everything else. Blender opened automatically. Character designed. Put in space. Animated with blinking eyes and stomping feet. Landing page built and live. Model sliced. File sent to 3D printer. Printer started moving. All from conversation. Zero code. Zero design skills. Zero manual work. Here's why this matters beyond the demo: Custom 3D printed figures sell for $30-$200 each on Etsy and at conventions. The people making serious money aren't artists. They're the ones who can produce custom designs fast. An AI agent that goes from description to printed figure autonomously is a business model not a toy. "I was just talking to the guy and he made it happen." Bookmark this. Full demo in the video below.
1:29

AN OPENCLAW AI AGENT JUST DESIGNED A 3D CHARACTER IN BLENDER AND SENT IT TO A 3D PRINTER. SHE DIDN'T TOUCH A SINGLE BUTTON. This is what running an OpenClaw AI agent on a Mac Mini actually looks like. She described what she wanted. The agent did everything else. Blender opened automatically. Character designed. Put in space. Animated with blinking eyes and stomping feet. Landing page built and live. Model sliced. File sent to 3D printer. Printer started moving. All from conversation. Zero code. Zero design skills. Zero manual work. Here's why this matters beyond the demo: Custom 3D printed figures sell for $30-$200 each on Etsy and at conventions. The people making serious money aren't artists. They're the ones who can produce custom designs fast. An AI agent that goes from description to printed figure autonomously is a business model not a toy. "I was just talking to the guy and he made it happen." Bookmark this. Full demo in the video below.

SCOTTY BEAM

17,209 次观看 • 2 个月前

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.
1:56:06

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Voltex

27,976 次观看 • 1 个月前

Is Perplexity Computer the most powerful AI Agent? How does it compare to OpenClaw? And what can it even do? In this 36 min video, i break down everything you need to know about Perplexity Computer
36:06

Is Perplexity Computer the most powerful AI Agent? How does it compare to OpenClaw? And what can it even do? In this 36 min video, i break down everything you need to know about Perplexity Computer

David Ondrej

40,675 次观看 • 5 个月前

Chamath: Frontier AI Leaders “Created a Total F*cking Mess” Short-sighted fearmongering and immaturity from frontier AI leaders has created deep mistrust, threatening AI’s potential as an open engine of economic mobility. That mistrust gives hyperscalers the chance to position themselves as trusted gatekeepers, using KYC, audit trails, and compliance infrastructure to turn AI into an oligopoly. Chamath Palihapitiya on the All-In Pod: “I think the leaders of the frontier labs leave a lot to be desired. I think what we're seeing is a consistent pattern of evasiveness and immaturity, and I think that does a huge disservice to the entire movement of AI. The key to a vibrant life is rooted in economic mobility, and I think AI is the grand leveler. It is the thing that can enable everyone to have unique amounts of economic mobility because they are unencumbered to figure out what their upper bound is. And against that backdrop, we have to live in this constant doomerism, hype cycle, naivety, and I think it holds us back. How does it hold us back? Tactically, number one, it creates mistrust. I think that Silicon Valley was already decaying in the prestige that it held in American society. We built important things. Then we veered away from that, and we started building less important things. And now we're at a point where we've potentially started to rebuild important things again, but we have this veneer of negativity and mistrust that are created in large part because we just cannot get our sh*t together. And the leaders of the frontier labs are public enemy number one. Number two, I think what it creates, which I think is bad, but what it creates is an incredible opportunity for the hyperscalers. And the very simple opportunity is to convince governments all around the world, not just America, that they should be the gatekeeper. A: You can't trust these guys. B: These models are all over the place. C: Let us be the ones that provision them to the world. We will wrap it in KYC. I've been now talking about KYC for a while, right? Who are these customers? Do they have identification? Why are they allowed to run these models? What are they prompting? Let's keep them so that there's an audit trail. All of these things are going to become issues. The Frontier Lab folks made it an issue because of how they've handled all of this up until now. And what does that create? Now that creates an oligopoly for AI, the most powerful economically leveling instrument we've ever seen in the hands of maybe a handful of hyperscalers, who by the way, would make an incredibly compelling argument, and they would be right. And the only counterfactual to it would be, ‘Well, trust us, guys, it should actually be much more open and in a far more distributed environment.’ Can you imagine the cost and the complexity if you ask the neoscaler to build the same robust KYC or the same VPC infrastructure that Amazon and Microsoft and Google have spent decades investing trillions of dollars in? It's an impossibility, Jason. So you can take all of those datacenters off the map. You can take all of the neoscaler market off the map. All of this was preventable. So instead of a diverse, robust, open ecosystem giving a tool that is the fundamental unlock for humans, we are now going to debate gatekeeping and duopoly versus oligopoly. They have created a total f*cking mess, and it's a shame.”
3:26

Chamath: Frontier AI Leaders “Created a Total F*cking Mess” Short-sighted fearmongering and immaturity from frontier AI leaders has created deep mistrust, threatening AI’s potential as an open engine of economic mobility. That mistrust gives hyperscalers the chance to position themselves as trusted gatekeepers, using KYC, audit trails, and compliance infrastructure to turn AI into an oligopoly. Chamath Palihapitiya on the All-In Pod: “I think the leaders of the frontier labs leave a lot to be desired. I think what we're seeing is a consistent pattern of evasiveness and immaturity, and I think that does a huge disservice to the entire movement of AI. The key to a vibrant life is rooted in economic mobility, and I think AI is the grand leveler. It is the thing that can enable everyone to have unique amounts of economic mobility because they are unencumbered to figure out what their upper bound is. And against that backdrop, we have to live in this constant doomerism, hype cycle, naivety, and I think it holds us back. How does it hold us back? Tactically, number one, it creates mistrust. I think that Silicon Valley was already decaying in the prestige that it held in American society. We built important things. Then we veered away from that, and we started building less important things. And now we're at a point where we've potentially started to rebuild important things again, but we have this veneer of negativity and mistrust that are created in large part because we just cannot get our sh*t together. And the leaders of the frontier labs are public enemy number one. Number two, I think what it creates, which I think is bad, but what it creates is an incredible opportunity for the hyperscalers. And the very simple opportunity is to convince governments all around the world, not just America, that they should be the gatekeeper. A: You can't trust these guys. B: These models are all over the place. C: Let us be the ones that provision them to the world. We will wrap it in KYC. I've been now talking about KYC for a while, right? Who are these customers? Do they have identification? Why are they allowed to run these models? What are they prompting? Let's keep them so that there's an audit trail. All of these things are going to become issues. The Frontier Lab folks made it an issue because of how they've handled all of this up until now. And what does that create? Now that creates an oligopoly for AI, the most powerful economically leveling instrument we've ever seen in the hands of maybe a handful of hyperscalers, who by the way, would make an incredibly compelling argument, and they would be right. And the only counterfactual to it would be, ‘Well, trust us, guys, it should actually be much more open and in a far more distributed environment.’ Can you imagine the cost and the complexity if you ask the neoscaler to build the same robust KYC or the same VPC infrastructure that Amazon and Microsoft and Google have spent decades investing trillions of dollars in? It's an impossibility, Jason. So you can take all of those datacenters off the map. You can take all of the neoscaler market off the map. All of this was preventable. So instead of a diverse, robust, open ecosystem giving a tool that is the fundamental unlock for humans, we are now going to debate gatekeeping and duopoly versus oligopoly. They have created a total f*cking mess, and it's a shame.”

The All-In Podcast

141,660 次观看 • 2 个月前

Mark Zuckerberg was asked to describe the business AI agent opportunity at $META. The answer is worth paying attention to. A few things that stood out: 💸 The end goal for advertising: any business comes with an objective and a budget — $META delivers the results. Zuck calls it “the ultimate business results machine.” 📈 Advertising has historically been ~1% of global GDP — but that includes enormous inefficiency. As it transforms into an AI-driven results machine, that share grows. 🤖 Every business will have an AI agent living in messaging platforms handling customer support and sales. Thailand and Vietnam are already the proof of concept — and they’re META’s 10th and 11th revenue countries despite ranking in the 30s by global GDP. 💬 WhatsApp, from a revenue perspective, is just getting started. ___ 🎙️ YouTube: Stripe | A conversation with Mark Zuckerberg (05/08/2025)
3:46

Mark Zuckerberg was asked to describe the business AI agent opportunity at $META. The answer is worth paying attention to. A few things that stood out: 💸 The end goal for advertising: any business comes with an objective and a budget — $META delivers the results. Zuck calls it “the ultimate business results machine.” 📈 Advertising has historically been ~1% of global GDP — but that includes enormous inefficiency. As it transforms into an AI-driven results machine, that share grows. 🤖 Every business will have an AI agent living in messaging platforms handling customer support and sales. Thailand and Vietnam are already the proof of concept — and they’re META’s 10th and 11th revenue countries despite ranking in the 30s by global GDP. 💬 WhatsApp, from a revenue perspective, is just getting started. ___ 🎙️ YouTube: Stripe | A conversation with Mark Zuckerberg (05/08/2025)

Dimitry Nakhla | Babylon Capital®

49,669 次观看 • 4 个月前