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CrowdStrike President Michael Sentonas precisely describes the new cybersecurity paradigm we've found ourselves in: "The best thing that's happened to [cyber-adversaries] is the advancement in the open-weight models." "They can get a Chinese model, or effectively a model from anywhere, and run it inside their framework." "They can build... show more

TBPN

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19,903 просмотров • 20 дней назад •via X (Twitter)

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Rich Roll on why waiting to "feel like it" is a trap: "You can't think your way into the mood that you seek or the state of mind that you aspire to inhabit. Action is the only thing that can trigger that change." Rich uses running as the perfect illustration of this principle. Imagine you wake up in the morning and you're supposed to do a run because you're training for a race. You don't feel like it. So what do most of us do? "We all resort to that state where we think, 'Well, I don't want to do it right now. I'll just wait until I feel like doing it and then I'll do it then.'" But here's the problem with that logic: "If you're waiting until you feel like doing something, chances are you're probably never going to get to it." The mood you're hoping will arrive on its own? It's not coming. Not without action first. "To take the action despite how you feel about it is the thing that catalyzes the state change." You don't run because you feel motivated. You feel motivated because you ran. He points to what every runner knows from experience: "When they finish the run, they're always glad that they did it. They don't generally regret it. And then they feel better." Notice the sequence. The good feeling comes after the action, not before it. The state change is the reward for showing up, not the prerequisite. And this isn't just about running. As Rich puts it: "That example is applicable to all areas of life." The workout you're avoiding. The conversation you're delaying. The project you're putting off until you're "in the right headspace." You're waiting for a feeling that only exists on the other side of doing the thing.

Rich Roll on why waiting to "feel like it" is a trap: "You can't think your way into the mood that you seek or the state of mind that you aspire to inhabit. Action is the only thing that can trigger that change." Rich uses running as the perfect illustration of this principle. Imagine you wake up in the morning and you're supposed to do a run because you're training for a race. You don't feel like it. So what do most of us do? "We all resort to that state where we think, 'Well, I don't want to do it right now. I'll just wait until I feel like doing it and then I'll do it then.'" But here's the problem with that logic: "If you're waiting until you feel like doing something, chances are you're probably never going to get to it." The mood you're hoping will arrive on its own? It's not coming. Not without action first. "To take the action despite how you feel about it is the thing that catalyzes the state change." You don't run because you feel motivated. You feel motivated because you ran. He points to what every runner knows from experience: "When they finish the run, they're always glad that they did it. They don't generally regret it. And then they feel better." Notice the sequence. The good feeling comes after the action, not before it. The state change is the reward for showing up, not the prerequisite. And this isn't just about running. As Rich puts it: "That example is applicable to all areas of life." The workout you're avoiding. The conversation you're delaying. The project you're putting off until you're "in the right headspace." You're waiting for a feeling that only exists on the other side of doing the thing.

Kevin Tanaka

10,256 просмотров • 4 месяцев назад

Derrick Milano about working with BTS 🙏🧎‍♀️ ‘The biggest part for me working with them is just really like, they really love creating music. It doesn't seem like they're in it for the money. It doesn't seem like they're in it for clout. It seems like they really genuinely and passionately love music. I think we need to see that more because it's a gift from God that we have and we can't take it for granted because at any point in time it can get taken away. So when you do have the opportunity and the luxury and you do have the pleasure to work with amazing people and you're able to put this stuff out, take advantage of it, and I think THEY take advantage of it to the fullest extent, from their music videos to the performance to the recording to the engineering to who they collaborate with. They use it to the fullest extent, and I think that's why it's so receptive and it's performing the way it is, because they go above and beyond for their work and their process and their product.’

Derrick Milano about working with BTS 🙏🧎‍♀️ ‘The biggest part for me working with them is just really like, they really love creating music. It doesn't seem like they're in it for the money. It doesn't seem like they're in it for clout. It seems like they really genuinely and passionately love music. I think we need to see that more because it's a gift from God that we have and we can't take it for granted because at any point in time it can get taken away. So when you do have the opportunity and the luxury and you do have the pleasure to work with amazing people and you're able to put this stuff out, take advantage of it, and I think THEY take advantage of it to the fullest extent, from their music videos to the performance to the recording to the engineering to who they collaborate with. They use it to the fullest extent, and I think that's why it's so receptive and it's performing the way it is, because they go above and beyond for their work and their process and their product.’

Lore ⊙⊝⊜ ᴀʀɪʀᴀɴɢ

27,070 просмотров • 5 месяцев назад

President Trump said the war with Iran is going "unbelievably well" in brief comments at the beginning of an event to honor military mothers at the White House on Wednesday. "We're in a — I call it a skirmish, because that's what it is, a skirmish, and we're doing unbelievably well, as we did in Venezuela, where it was rapid, over in one day and we're doing pretty much equally as well,” Trump said. The president repeated that the Iranians want to make a deal and said, “we'll see whether or not they can make a deal that is satisfactory to us.”

President Trump said the war with Iran is going "unbelievably well" in brief comments at the beginning of an event to honor military mothers at the White House on Wednesday. "We're in a — I call it a skirmish, because that's what it is, a skirmish, and we're doing unbelievably well, as we did in Venezuela, where it was rapid, over in one day and we're doing pretty much equally as well,” Trump said. The president repeated that the Iranians want to make a deal and said, “we'll see whether or not they can make a deal that is satisfactory to us.”

CBS News

13,650 просмотров • 4 месяцев назад

David Friedberg: Frontier Models are Training on Your Novel Insights as “De-Identified Data” @jason: “Should they trust any of these LLMs with their proprietary knowledge for fear of having it cribbed into a core LLM?” david friedberg: “I have had experiences where we've asked some fairly novel scientific questions, and (the AI model) identifies it as a novel insight. It's like, ‘Oh, never thought about that, interesting, blah, blah, blah.’ And then using a different account, asking the next version (of the model) later, I've now experienced this. It's like, ‘Oh, well, you could do this,’ and it actually just describes this exact thing that we had in our chat in the previous version. Now, these are a handful of anecdotal experiences, but I know the domain that we work in, and the niche of it, and the ideation of this stuff, and the novelty of this stuff, and the lack of papers being published, and so on. So I know that there isn't some new corpus of information out there that's training the new model. So all I can say at that point is that my conversation or our analyses have been used for training.” David Sacks: “Okay, this does raise a really good question. What does it mean that the model is allowed to train on unidentifiable data?” Friedberg: “Well, that's my point. So it doesn't use any of my personal information, but it can use an insight derived from our chat, which it can then say is some training data that is unrelated. But the truth is, it's actually a piece of IP that's our organization’s IP, and our engagement back and forth. We don't have any NDA or confidentiality provisions or protections with them being a service provider back to us. This is why I care a lot about open source because I don't want them having my chat logs because they can use it for training to create an IP advantage that is now diffused to the rest of the market.”

David Friedberg: Frontier Models are Training on Your Novel Insights as “De-Identified Data” @jason: “Should they trust any of these LLMs with their proprietary knowledge for fear of having it cribbed into a core LLM?” david friedberg: “I have had experiences where we've asked some fairly novel scientific questions, and (the AI model) identifies it as a novel insight. It's like, ‘Oh, never thought about that, interesting, blah, blah, blah.’ And then using a different account, asking the next version (of the model) later, I've now experienced this. It's like, ‘Oh, well, you could do this,’ and it actually just describes this exact thing that we had in our chat in the previous version. Now, these are a handful of anecdotal experiences, but I know the domain that we work in, and the niche of it, and the ideation of this stuff, and the novelty of this stuff, and the lack of papers being published, and so on. So I know that there isn't some new corpus of information out there that's training the new model. So all I can say at that point is that my conversation or our analyses have been used for training.” David Sacks: “Okay, this does raise a really good question. What does it mean that the model is allowed to train on unidentifiable data?” Friedberg: “Well, that's my point. So it doesn't use any of my personal information, but it can use an insight derived from our chat, which it can then say is some training data that is unrelated. But the truth is, it's actually a piece of IP that's our organization’s IP, and our engagement back and forth. We don't have any NDA or confidentiality provisions or protections with them being a service provider back to us. This is why I care a lot about open source because I don't want them having my chat logs because they can use it for training to create an IP advantage that is now diffused to the rest of the market.”

The All-In Podcast

54,050 просмотров • 9 дней назад

"After this war is over, when millions are dead and the Gulf states are destroyed, you have a lot of loss of life in Iran as well and in Israel as well. And Israel is trying to be the global empire. So it needs labor. So what do you do? Well, you import the labor from India, from China, and from the Philippines." "And what do you do? You microchip them so that you can surveil them. You can control their emotions. You feed them drugs. They're your slaves." "And it can all be done with current technology. You don't have to actually build new technology to do this." "But you will need an AI surveillance state. And that's why Palantir is so valuable."

"After this war is over, when millions are dead and the Gulf states are destroyed, you have a lot of loss of life in Iran as well and in Israel as well. And Israel is trying to be the global empire. So it needs labor. So what do you do? Well, you import the labor from India, from China, and from the Philippines." "And what do you do? You microchip them so that you can surveil them. You can control their emotions. You feed them drugs. They're your slaves." "And it can all be done with current technology. You don't have to actually build new technology to do this." "But you will need an AI surveillance state. And that's why Palantir is so valuable."

Furkan Gözükara

1,851,610 просмотров • 6 месяцев назад

🚨 HOLY CRAP! President Trump reveals to the world that Iran is privately telling him they're COOKED, but then they go on TV and go "tough guy" It was obvious, now it's CONFIRMED "Iran has no chance, they never did, they know it, they express it to me when I talk to them, then they get on television they say how well they're doing — and they have no navy, totally wiped out, they have no air force totally wiped out, they have the leaders who went the whole thing, and then I read the papers and they say how well they're doing, they're not doing well, that's why you have no credibility, no credibility!" "The news, the fake news, there's no credibility."

🚨 HOLY CRAP! President Trump reveals to the world that Iran is privately telling him they're COOKED, but then they go on TV and go "tough guy" It was obvious, now it's CONFIRMED "Iran has no chance, they never did, they know it, they express it to me when I talk to them, then they get on television they say how well they're doing — and they have no navy, totally wiped out, they have no air force totally wiped out, they have the leaders who went the whole thing, and then I read the papers and they say how well they're doing, they're not doing well, that's why you have no credibility, no credibility!" "The news, the fake news, there's no credibility."

Eric Daugherty

117,780 просмотров • 4 месяцев назад

Trump on Putin: "I think we're doing very well with Russia. But right now they're bombing the hell out of Ukraine. I'm finding it more difficult, frankly, to deal with Ukraine. And they don't have the cards ... in terms of getting a final settlement, it may be easier dealing with Russia."

Trump on Putin: "I think we're doing very well with Russia. But right now they're bombing the hell out of Ukraine. I'm finding it more difficult, frankly, to deal with Ukraine. And they don't have the cards ... in terms of getting a final settlement, it may be easier dealing with Russia."

Aaron Rupar

2,418,699 просмотров • 1 год назад

"It's basically what we call the Blackstone model, which is, you don't take over the whole company right, you buy the largest stake in it and you use that to control it. And so that's the model starting with the US, but basically every country in the world is being subject to this. And so they have planted through these small focus groups of private intelligence, and it's a combination of private intelligence, private equity, and IT firms, and they're basically coming together as one. And they set up their teams in each country to basically take it over strategically. There's a playbook for this..." Emanuel Pastreich of 🥷 🔗

"It's basically what we call the Blackstone model, which is, you don't take over the whole company right, you buy the largest stake in it and you use that to control it. And so that's the model starting with the US, but basically every country in the world is being subject to this. And so they have planted through these small focus groups of private intelligence, and it's a combination of private intelligence, private equity, and IT firms, and they're basically coming together as one. And they set up their teams in each country to basically take it over strategically. There's a playbook for this..." Emanuel Pastreich of 🥷 🔗

Geopolitics & Empire

18,051 просмотров • 6 месяцев назад

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

Neil Patel

39,323 просмотров • 2 месяцев назад

Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.

Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.

hoe_math = PsychoMath

1,191,649 просмотров • 1 год назад

🚨 PRESIDENT TRUMP: IRAN are the ones under a time constraint, NOT America! "I took it out militarily. Now all we're doing is sitting back and seeing what deal and if they don't want to make a deal, then I'll finish it up militarily with the other 25% of the targets" "Every story I see says, 'oh, Trump is under time pressure!' I'm not, no. You know who's under time pressure? THEY are! Because if they don't get their oil moving, their whole oil infrastructure is going to explode. You know what that means? Because they have no place to store it!"

🚨 PRESIDENT TRUMP: IRAN are the ones under a time constraint, NOT America! "I took it out militarily. Now all we're doing is sitting back and seeing what deal and if they don't want to make a deal, then I'll finish it up militarily with the other 25% of the targets" "Every story I see says, 'oh, Trump is under time pressure!' I'm not, no. You know who's under time pressure? THEY are! Because if they don't get their oil moving, their whole oil infrastructure is going to explode. You know what that means? Because they have no place to store it!"

Nick Sortor

96,035 просмотров • 5 месяцев назад

Chargers TE Charlie Kolar: "There's something so beautiful about you're up by six points, it's like 3rd and 3-you know you're running it. There's two minutes left in the game, they have no timeouts. You get a first down, the game's over." "They know you're running it. Your wife knows you're running it. Their wife knows you're running it. You still run it. That is more satisfying than any touchdown I've ever had. That's one thing I've grown to appreciate in the NFL."

Chargers TE Charlie Kolar: "There's something so beautiful about you're up by six points, it's like 3rd and 3-you know you're running it. There's two minutes left in the game, they have no timeouts. You get a first down, the game's over." "They know you're running it. Your wife knows you're running it. Their wife knows you're running it. You still run it. That is more satisfying than any touchdown I've ever had. That's one thing I've grown to appreciate in the NFL."

Alex Insdorf

1,487,034 просмотров • 4 месяцев назад

You can now try Llama 3.1 405B for free (link below)! This is the largest open-source model out there, and for the first time, an open model is competitive with closed models. This time around, Meta did something new: Llama 3.1 has a license that allows developers to use it to enhance other models. For the first time, you can distill Llama 3.1 405B's capabilities into a smaller, more practical model for your use case. First, here is the link where you can play with Llama 3.1 for free: The model is hosted in Tune Studio, an end-to-end platform for developing applications using Large Language Models. They are sponsoring this post. Take a look at the attached video. It will show you how you can fine-tune a simple model using Llama 3.1 without leaving the platform: 1. You can create an empty dataset 2. Use the playground to generate and record interactions with Llama 3.1 3. Modify the dataset directly using the playground 4. Export the data and fine-tune a smaller model Fast and easy! As long as you have a web browser, you can start experimenting with fine-tuning and Llama 3.1. That's all it takes!

You can now try Llama 3.1 405B for free (link below)! This is the largest open-source model out there, and for the first time, an open model is competitive with closed models. This time around, Meta did something new: Llama 3.1 has a license that allows developers to use it to enhance other models. For the first time, you can distill Llama 3.1 405B's capabilities into a smaller, more practical model for your use case. First, here is the link where you can play with Llama 3.1 for free: The model is hosted in Tune Studio, an end-to-end platform for developing applications using Large Language Models. They are sponsoring this post. Take a look at the attached video. It will show you how you can fine-tune a simple model using Llama 3.1 without leaving the platform: 1. You can create an empty dataset 2. Use the playground to generate and record interactions with Llama 3.1 3. Modify the dataset directly using the playground 4. Export the data and fine-tune a smaller model Fast and easy! As long as you have a web browser, you can start experimenting with fine-tuning and Llama 3.1. That's all it takes!

Santiago

55,609 просмотров • 2 лет назад

Jordi on the Clawdbot-Moltbot name change: "Most people that aren't in our little bubble are going to assume they're related." "With trademark law, if you don't enforce your trademarks, you lose them. So Anthropic is in a position where, even if they're super excited about Peter Steinberger 🦞's work and what he's doing, they still have to enforce it. Otherwise other companies could start coming in and use things that sound like Claude." John: "No one wants to become the Escalator." "Escalator used to be a company. They invented the Escalator, and then they didn't protect their IP effectively, and it just became a normal thing. Kleenex was going through the same thing. They fought it out, and they maintained that brand."

TBPN

17,015 просмотров • 7 месяцев назад

.Anton Osika – eu/acc on what makes @lovable_dev stand out: "We're the fastest way to go from an idea to a production-ready application." "Entrepreneurs and solopreneurs building for the first time or the nth time, and larger companies are seeing this use case grow really fast." "They go from I have this idea, my engineers should build it but they don't understand me. So I need to create a full working version of it. Then (once the working version or MVP is done) they're going to say, okay, I get it, it looks great, let's build it."

.Anton Osika – eu/acc on what makes @lovable_dev stand out: "We're the fastest way to go from an idea to a production-ready application." "Entrepreneurs and solopreneurs building for the first time or the nth time, and larger companies are seeing this use case grow really fast." "They go from I have this idea, my engineers should build it but they don't understand me. So I need to create a full working version of it. Then (once the working version or MVP is done) they're going to say, okay, I get it, it looks great, let's build it."

TBPN

47,859 просмотров • 1 год назад

David Sacks Predicts the Regulatory Capture Playbook to Ban Open Source AI, Step by Step: David Sacks: “I got bad news for you, Chamath, an open source ban is coming. They're not going to call it that. They're going to say that we simply have to apply the same standards to open models that we apply to closed ones. Here's how they do it step by step, let me explain how regulatory capture actually works. So first of all, you have to get this regulatory apparatus. Dario wants an FDA for AI, but he doesn't have enough political support for that, so instead they do this Trojan horse of a FINRA for AI. They call it self-regulating, it's not really, but anyway, that gets them off the ground. Now they've created the standard-setting organization. Now they've got pre-release model testing. Then the pressure grows to codify that in law, so that happens next. And then what they do is they say, ‘Look, all these standards need to apply equally to all models.’ But here's the problem with that. Open models and closed models are technologically different. Once you release an open model into the world, you can't roll it back and you can't monitor exactly how people are using it because they run it on their own hardware. Dario says this is what makes open models dangerous. So what they're going to do is they're going to have the standard-setting body say, ‘Well, we have to set the standards for AI safety.’ By the way, Dario and OpenAI, they're going to fund the whole thing. They're going to contribute all the compute. They're going to be behind it. They're going to be the ones coordinating with the government officials because frankly, people in government have no idea how to monitor and control and set standards for AI safety. Technologically, this is way beyond them. So they're going to go to these companies and say, ‘Tell us how to do it.’ And so what will happen is the standards will get set, and then it'll be a very simple matter of fairness to say that the standards need to apply to open as well as closed models. The open models cannot comply in the same way, and gradually they will be shut out of the market.”

David Sacks Predicts the Regulatory Capture Playbook to Ban Open Source AI, Step by Step: David Sacks: “I got bad news for you, Chamath, an open source ban is coming. They're not going to call it that. They're going to say that we simply have to apply the same standards to open models that we apply to closed ones. Here's how they do it step by step, let me explain how regulatory capture actually works. So first of all, you have to get this regulatory apparatus. Dario wants an FDA for AI, but he doesn't have enough political support for that, so instead they do this Trojan horse of a FINRA for AI. They call it self-regulating, it's not really, but anyway, that gets them off the ground. Now they've created the standard-setting organization. Now they've got pre-release model testing. Then the pressure grows to codify that in law, so that happens next. And then what they do is they say, ‘Look, all these standards need to apply equally to all models.’ But here's the problem with that. Open models and closed models are technologically different. Once you release an open model into the world, you can't roll it back and you can't monitor exactly how people are using it because they run it on their own hardware. Dario says this is what makes open models dangerous. So what they're going to do is they're going to have the standard-setting body say, ‘Well, we have to set the standards for AI safety.’ By the way, Dario and OpenAI, they're going to fund the whole thing. They're going to contribute all the compute. They're going to be behind it. They're going to be the ones coordinating with the government officials because frankly, people in government have no idea how to monitor and control and set standards for AI safety. Technologically, this is way beyond them. So they're going to go to these companies and say, ‘Tell us how to do it.’ And so what will happen is the standards will get set, and then it'll be a very simple matter of fairness to say that the standards need to apply to open as well as closed models. The open models cannot comply in the same way, and gradually they will be shut out of the market.”

The All-In Podcast

298,808 просмотров • 28 дней назад