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My interview with Dan Primack for the Axios dealmaker summit yesterday 0:44 We are in an LLM bubble 🫧🫧 2:13 Does it create risks for AI in general 2:57 Why is open-source important? 4:33 Why haven't we raised recently? 6:45 Is China winning not only in open-source but also...

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clem 🤗

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20,127 görüntüleme • 9 ay önce •via X (Twitter)

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Data labelling is a fricking hard market and there are some core questions. 1. Why does no player want to be called a talent marketplace? 2. Is the proclaimed “revenue” real revenue or GMV? 3. What are the margins given the GMV structure of the business? 4. Are the players not concerned by the concentration of revenue with 2 customers being over 50% of revenue for every player in market? 5.If synthetic data continues to improve, WTF happens to their core business? We do not pull punches in this discussion with Top 5 takeaways below 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: 00:00 Intro 00:51 Redefining “Talent Marketplaces” Today 03:46 Data, Compute, Algorithms: What is Most Abundant? 16:59 The Biggest Challenges Enterprises Have with AI Adoption 20:57 Why Will 99% of Knowledge Work Will be Gone in 10 Years 28:53 How Will Data-Driven Feedback Loops Replace Technology as the Moat 34:20 Is Revenue BS in Data Labelling? Are Players Calling GMV Revenue? 43:43 Are We in an AI Bubble? 52:22 Why is SaaS Dead in a World of AI? 01:00:32 Will the Phone be the Primary User Interface to an AI World? 01:07:46 Quick-Fire Round
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Data labelling is a fricking hard market and there are some core questions. 1. Why does no player want to be called a talent marketplace? 2. Is the proclaimed “revenue” real revenue or GMV? 3. What are the margins given the GMV structure of the business? 4. Are the players not concerned by the concentration of revenue with 2 customers being over 50% of revenue for every player in market? 5.If synthetic data continues to improve, WTF happens to their core business? We do not pull punches in this discussion with Top 5 takeaways below 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: 00:00 Intro 00:51 Redefining “Talent Marketplaces” Today 03:46 Data, Compute, Algorithms: What is Most Abundant? 16:59 The Biggest Challenges Enterprises Have with AI Adoption 20:57 Why Will 99% of Knowledge Work Will be Gone in 10 Years 28:53 How Will Data-Driven Feedback Loops Replace Technology as the Moat 34:20 Is Revenue BS in Data Labelling? Are Players Calling GMV Revenue? 43:43 Are We in an AI Bubble? 52:22 Why is SaaS Dead in a World of AI? 01:00:32 Will the Phone be the Primary User Interface to an AI World? 01:07:46 Quick-Fire Round

Harry Stebbings

37,067 görüntüleme • 8 ay önce

I spoke with Jordi Visser to break down why the last two weeks may be the most important stretch in bitcoin's history, along with the US-Japan yen intervention and a weakening labor market. We also discuss the AI stock rebound, physical AI and Tesla's Terafab, Google's talent exodus, and how to value SpaceX. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:54 - Why the last two weeks may be the most important in Bitcoin's history 8:17 - What should the Fed do next? 13:39 - AI stocks bounce hard: was that the bottom? 21:40 - Physical AI: Hadrian, Tesla's Terafab & the compute race 25:57 - How to position your portfolio for the compute boom 33:26 - What frontier models get wrong (and why big companies move slow) 38:40 - Google's talent exodus: is the stock at risk? 41:23 - Does calendar seasonality still matter? 42:43 - Valuing SpaceX: the compute business vs. the space hype 44:42 - What's coming in Jordi's video this week
47:30

I spoke with Jordi Visser to break down why the last two weeks may be the most important stretch in bitcoin's history, along with the US-Japan yen intervention and a weakening labor market. We also discuss the AI stock rebound, physical AI and Tesla's Terafab, Google's talent exodus, and how to value SpaceX. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:54 - Why the last two weeks may be the most important in Bitcoin's history 8:17 - What should the Fed do next? 13:39 - AI stocks bounce hard: was that the bottom? 21:40 - Physical AI: Hadrian, Tesla's Terafab & the compute race 25:57 - How to position your portfolio for the compute boom 33:26 - What frontier models get wrong (and why big companies move slow) 38:40 - Google's talent exodus: is the stock at risk? 41:23 - Does calendar seasonality still matter? 42:43 - Valuing SpaceX: the compute business vs. the space hype 44:42 - What's coming in Jordi's video this week

Anthony Pompliano 🌪

79,182 görüntüleme • 19 gün önce

“We are not allowed to believe in luck at a16z. We must see every deal in our domain. We must win 100% of them. I have not lost a deal in 6 years”. It has never been a more uncertain time to be an investor. - Is SaaS dead? - Do margins matter? - Is triple, triple, double, double dead? - Will foundation models eat the apps layer? Spotify 👉 Youtube 👉 Apple Podcasts 👉 My 8 takeaways with Anish Acharya 👇 Timestamps: 00:00 Intro 00:56 Why building an AI company requires being in San Francisco 04:01 The "SaaS Apocalypse" myth: Why "vibe coding" everything is a lie 05:18 How AI agents are finally breaking the lock-in of legacy software providers 07:41 Incumbents vs. Startups: Who actually wins the AI distribution war? 12:28 Why the developer tool market looks more like Cloud than Uber and Lyft 20:18 The death of the Chatbox? Why browse-based interfaces are still preferable 25:32 Why power users are 10x more valuable in the age of AI consumption 26:40 Do margins matter in a world of AI? 28:21 Why we are definitively not in an AI bubble right now 31:07 Why the Legal & Customer Support industries will have dozens of winners 37:42 Lessons from Marc Andreessen: Why the "quality of being right" supersedes process 42:59 Is "Triple, Triple, Double, Double" dead? 57:34 Open vs Closed Source 01:02:58 Is Kingmaking Real? 01:09:10 Quick-Fire Round 01:12:51 The a16z Playbook: How to win 100% of the deals you chase
1:20:02

“We are not allowed to believe in luck at a16z. We must see every deal in our domain. We must win 100% of them. I have not lost a deal in 6 years”. It has never been a more uncertain time to be an investor. - Is SaaS dead? - Do margins matter? - Is triple, triple, double, double dead? - Will foundation models eat the apps layer? Spotify 👉 Youtube 👉 Apple Podcasts 👉 My 8 takeaways with Anish Acharya 👇 Timestamps: 00:00 Intro 00:56 Why building an AI company requires being in San Francisco 04:01 The "SaaS Apocalypse" myth: Why "vibe coding" everything is a lie 05:18 How AI agents are finally breaking the lock-in of legacy software providers 07:41 Incumbents vs. Startups: Who actually wins the AI distribution war? 12:28 Why the developer tool market looks more like Cloud than Uber and Lyft 20:18 The death of the Chatbox? Why browse-based interfaces are still preferable 25:32 Why power users are 10x more valuable in the age of AI consumption 26:40 Do margins matter in a world of AI? 28:21 Why we are definitively not in an AI bubble right now 31:07 Why the Legal & Customer Support industries will have dozens of winners 37:42 Lessons from Marc Andreessen: Why the "quality of being right" supersedes process 42:59 Is "Triple, Triple, Double, Double" dead? 57:34 Open vs Closed Source 01:02:58 Is Kingmaking Real? 01:09:10 Quick-Fire Round 01:12:51 The a16z Playbook: How to win 100% of the deals you chase

Harry Stebbings

199,225 görüntüleme • 6 ay önce

New Delphi Podcast with TravisGood, co-founder of ambient.xyz Travis believes open source AI will win and that OpenAI and Anthropic are making a major strategic mistake by betting against it We discuss – Why closed AI providers can’t be trusted as infrastructure – China’s open source advantage – What happens if OpenAI reaches AGI – Prompt injection and AI’s unsolved safety problem – The AI CapEx bubble and a possible AI winter – How Ambient is building Uber for inference - 00:00 Intro - 03:20 What Ambient Is and How It Works - 18:40 Verified AI Inference - 40:20 China and the Open-Source AI Race - 49:00 Why Closed AI Is Making a Mistake - 1:03:00 What Happens If OpenAI Reaches AGI? - 1:17:10 The AI Bubble and a Possible AI Winter
1:32:00

New Delphi Podcast with TravisGood, co-founder of ambient.xyz Travis believes open source AI will win and that OpenAI and Anthropic are making a major strategic mistake by betting against it We discuss – Why closed AI providers can’t be trusted as infrastructure – China’s open source advantage – What happens if OpenAI reaches AGI – Prompt injection and AI’s unsolved safety problem – The AI CapEx bubble and a possible AI winter – How Ambient is building Uber for inference - 00:00 Intro - 03:20 What Ambient Is and How It Works - 18:40 Verified AI Inference - 40:20 China and the Open-Source AI Race - 49:00 Why Closed AI Is Making a Mistake - 1:03:00 What Happens If OpenAI Reaches AGI? - 1:17:10 The AI Bubble and a Possible AI Winter

Tommy

24,342 görüntüleme • 1 ay önce

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”
1:28

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

X Freeze

29,610 görüntüleme • 16 gün önce

We interviewed Nick Bostrom, The author of NYT’s Bestseller “Superintelligence,” and one of the most influential experts on AI Risks. Timestamps: 2:11 - Will AI be used for Extreme Bad? What are the odds? 4:44 - What are the biggest concerns with AI? 6:16 - People are greatly underestimate what Super-intelligence will be. 7:19 - Can we trust anyone with creating a Super-Intelligent AI? 8:49 - Are the big AI companies taking AI safety serious enough? 10:39 - Are multiple AI systems undergoing the transition to super-intelligence at the same time a good or bad thing? 13:10 - How do we prevent AI from becoming biased like we saw with Google Gemini? 16:17 - Is there a danger of AI being too truthful or too opinionated? 18:10 - When do AI’s gain a moral status? How do we know? 19:40 - What is Truth for an AI? 22:37 - What has surprised Bostrom the most regarding AI in the past 10 years? 26:13 - Is AI moving faster or slower than Bostrom imagined 10 years ago? 26:38 - Do we see another AI Winter or AGI first? 28:21 - Is energy a limiting factor in AI? 30:00 - What is Deep Utopia? 33:18 - When will we reach Super-intelligence and Deep Utopia? 36:00 - Can a Deep Utopia be a problem for humanity? 39:29 - Could a Utopian society lead to the creation of a simulated reality as a way to escape? 42:28 - If we are in a simulation, is our consciousness simulated? 47:48 - Elon Musk or Sam Altman? 48:17 - Artificial Super-Intelligence before or after 2035? 49:40 - How can you get Nick Bostrom’s book “Deep Utopia?”
51:02

We interviewed Nick Bostrom, The author of NYT’s Bestseller “Superintelligence,” and one of the most influential experts on AI Risks. Timestamps: 2:11 - Will AI be used for Extreme Bad? What are the odds? 4:44 - What are the biggest concerns with AI? 6:16 - People are greatly underestimate what Super-intelligence will be. 7:19 - Can we trust anyone with creating a Super-Intelligent AI? 8:49 - Are the big AI companies taking AI safety serious enough? 10:39 - Are multiple AI systems undergoing the transition to super-intelligence at the same time a good or bad thing? 13:10 - How do we prevent AI from becoming biased like we saw with Google Gemini? 16:17 - Is there a danger of AI being too truthful or too opinionated? 18:10 - When do AI’s gain a moral status? How do we know? 19:40 - What is Truth for an AI? 22:37 - What has surprised Bostrom the most regarding AI in the past 10 years? 26:13 - Is AI moving faster or slower than Bostrom imagined 10 years ago? 26:38 - Do we see another AI Winter or AGI first? 28:21 - Is energy a limiting factor in AI? 30:00 - What is Deep Utopia? 33:18 - When will we reach Super-intelligence and Deep Utopia? 36:00 - Can a Deep Utopia be a problem for humanity? 39:29 - Could a Utopian society lead to the creation of a simulated reality as a way to escape? 42:28 - If we are in a simulation, is our consciousness simulated? 47:48 - Elon Musk or Sam Altman? 48:17 - Artificial Super-Intelligence before or after 2035? 49:40 - How can you get Nick Bostrom’s book “Deep Utopia?”

KrassenCast

380,725 görüntüleme • 2 yıl önce

I've been saying it for years, AI is the most important conversation we're having right now. Josh Tyrangiel (Josh) spent a year looking for the people actually using it to save lives, and what he found will change the way you think about this technology forever. Watch/YouTube on X, YouTube, Spotify, Apple Podcasts, or wherever you get your podcasts. Timestamps 0:00 Josh Tyrangiel Introduction 1:35 This is the most important conversation we are having right now 4:33 Is there an existential threat with the creators of AI? 6:31 Which AI is the best one to use? 8:02 A year from now, are we at agentic AI? 10:11 "You need a human in all AI cases." 12:06 If we have checks and balances in place for AI, will our adversaries do the same? 13:58 Anthropic and the US government relationship 15:14 Common variable on an institution using AI or not 19:18 Should you be worried about AI? 20:32 How would a politician or CEO benefit from this book? 21:49 Humans using the AI, not replaced by AI 25:09 What do you think this will change about how we think about AI? 27:28 Five Words
30:03

I've been saying it for years, AI is the most important conversation we're having right now. Josh Tyrangiel (Josh) spent a year looking for the people actually using it to save lives, and what he found will change the way you think about this technology forever. Watch/YouTube on X, YouTube, Spotify, Apple Podcasts, or wherever you get your podcasts. Timestamps 0:00 Josh Tyrangiel Introduction 1:35 This is the most important conversation we are having right now 4:33 Is there an existential threat with the creators of AI? 6:31 Which AI is the best one to use? 8:02 A year from now, are we at agentic AI? 10:11 "You need a human in all AI cases." 12:06 If we have checks and balances in place for AI, will our adversaries do the same? 13:58 Anthropic and the US government relationship 15:14 Common variable on an institution using AI or not 19:18 Should you be worried about AI? 20:32 How would a politician or CEO benefit from this book? 21:49 Humans using the AI, not replaced by AI 25:09 What do you think this will change about how we think about AI? 27:28 Five Words

Anthony Scaramucci

15,891 görüntüleme • 2 ay önce

#WATCH | US President Donald Trump says, "I can't really say for sure, but China is an interesting case study. They get most of their oil... 90% through the Strait. So, I said, 'Would you like to come in?' We will find out. Maybe they will, maybe they won't... There are some other deeper reasons why they may not. They should come in, in my opinion. It never made sense for years. If you go back and look at what I've said years ago, I said, 'Why are we maintaining the Hormuz Strait when it's really there for China and many other countries?'... I think other countries should help us." (Source: YouTube/White House)
0:53

#WATCH | US President Donald Trump says, "I can't really say for sure, but China is an interesting case study. They get most of their oil... 90% through the Strait. So, I said, 'Would you like to come in?' We will find out. Maybe they will, maybe they won't... There are some other deeper reasons why they may not. They should come in, in my opinion. It never made sense for years. If you go back and look at what I've said years ago, I said, 'Why are we maintaining the Hormuz Strait when it's really there for China and many other countries?'... I think other countries should help us." (Source: YouTube/White House)

ANI

222,152 görüntüleme • 5 ay önce

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next
3:57:39

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next

Rob Wiblin

93,669 görüntüleme • 1 yıl önce

Serbian President Vucic: I did not come here to lie. You want me to say that we will be part of the EU in 2028, but we will not. It will all be over, we will see each other in four years, and what should I tell you? It will not happen. I do not deceive my people. I will not lie to anyone. You will ask me whether the Ukrainians will win. Let's say I say "yes". But will it really happen? I doubt it. And no one is talking about it openly. I have my own brains, I say what I think. We are on the way to the EU. We traditionally have excellent relations with Russia, we do not hide it, I am not ashamed of it. It has always been like this between the Serbs and the Russians. And we are the only country in Europe that has not imposed any sanctions against Russia. I say this openly, I am not afraid.
1:04

Serbian President Vucic: I did not come here to lie. You want me to say that we will be part of the EU in 2028, but we will not. It will all be over, we will see each other in four years, and what should I tell you? It will not happen. I do not deceive my people. I will not lie to anyone. You will ask me whether the Ukrainians will win. Let's say I say "yes". But will it really happen? I doubt it. And no one is talking about it openly. I have my own brains, I say what I think. We are on the way to the EU. We traditionally have excellent relations with Russia, we do not hide it, I am not ashamed of it. It has always been like this between the Serbs and the Russians. And we are the only country in Europe that has not imposed any sanctions against Russia. I say this openly, I am not afraid.

Ignorance, the root and stem of all evil

350,541 görüntüleme • 2 yıl önce

Erik Voorhees on why he built Venice AI on Ethereum “It wasn’t even a question for us. The Ethereum ecosystem is the far more authentic, resilient, and robust ecosystem of all smart contract platforms.” The founder of the privacy-first AI inference platform with 3+ million users continues: “When we launched on Base, it had swiftly become the primary L2 in the ETH world. We were impressed with its growth, so it was the obvious choice for us. But of course we were going to do it in the Ethereum ecosystem.” Source: Paul Barron Network PaulBarron (Jun 2026)
0:37

Erik Voorhees on why he built Venice AI on Ethereum “It wasn’t even a question for us. The Ethereum ecosystem is the far more authentic, resilient, and robust ecosystem of all smart contract platforms.” The founder of the privacy-first AI inference platform with 3+ million users continues: “When we launched on Base, it had swiftly become the primary L2 in the ETH world. We were impressed with its growth, so it was the obvious choice for us. But of course we were going to do it in the Ethereum ecosystem.” Source: Paul Barron Network PaulBarron (Jun 2026)

Etherealize

23,768 görüntüleme • 2 ay önce

“In my career working in AI, I have yet to meet a single AI person that ever felt like they had enough compute.” “Open-weight models is a tremendous source of geopolitical influence” “When China’s government makes an all-nation commitment, it’s a very powerful force I wouldn’t underestimate.” Shows like this are why I love what I do. My top 7 takeaways from one of the OGs of AI Andrew Ng 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: 00:00 Intro 01:04 What are the Biggest Bottlenecks in AI Today? 09:31 How LLMs Can Be Used as a Geopolitical Weapon 15:07 Should AI Talent Really Be Paid Billions? 19:15 Why is the Application Layer the Most Exciting Layer? 29:30 Will AI Deliver Masa Son's Predictions of 5% GDP Growth? 38:43 Do Margins Matter in a World of AI? 40:36 Is Defensibility Dead in a World of AI? 48:24 Will Human Labour Budgets Shift to AI Spend? 55:05 Are We in an AI Bubble? 56:28 Quick-Fire Round
1:06:05

“In my career working in AI, I have yet to meet a single AI person that ever felt like they had enough compute.” “Open-weight models is a tremendous source of geopolitical influence” “When China’s government makes an all-nation commitment, it’s a very powerful force I wouldn’t underestimate.” Shows like this are why I love what I do. My top 7 takeaways from one of the OGs of AI Andrew Ng 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: 00:00 Intro 01:04 What are the Biggest Bottlenecks in AI Today? 09:31 How LLMs Can Be Used as a Geopolitical Weapon 15:07 Should AI Talent Really Be Paid Billions? 19:15 Why is the Application Layer the Most Exciting Layer? 29:30 Will AI Deliver Masa Son's Predictions of 5% GDP Growth? 38:43 Do Margins Matter in a World of AI? 40:36 Is Defensibility Dead in a World of AI? 48:24 Will Human Labour Budgets Shift to AI Spend? 55:05 Are We in an AI Bubble? 56:28 Quick-Fire Round

Harry Stebbings

89,458 görüntüleme • 9 ay önce

🇷🇺 Russian President Vladimir Putin: “You said that the dollar was used as a weapon. It is true, and we see that. I think it is a great mistake by those who do it. Since the use of the dollar, which is still the most important tool in global finance, as a political tool undermines trust in this currency, thereby reducing its capabilities. We are not the ones who do that. It’s others. We are not rejecting the dollar or fighting against it. But if they don’t let us work with it, what else should we do? We should seek other alternatives, and this is exactly what we do.”
0:43

🇷🇺 Russian President Vladimir Putin: “You said that the dollar was used as a weapon. It is true, and we see that. I think it is a great mistake by those who do it. Since the use of the dollar, which is still the most important tool in global finance, as a political tool undermines trust in this currency, thereby reducing its capabilities. We are not the ones who do that. It’s others. We are not rejecting the dollar or fighting against it. But if they don’t let us work with it, what else should we do? We should seek other alternatives, and this is exactly what we do.”

Going Underground

89,549 görüntüleme • 18 gün önce

If you are getting Black Ops 6. I would get it for Zombies and Warzone... I Love a lot of what they are trying to do in the game. But unless we see a radical shift in MP design, it is a bit of a mess, a fun mess for some, but ultimately, this is why it is 16 versions of Shipment:
2:21

If you are getting Black Ops 6. I would get it for Zombies and Warzone... I Love a lot of what they are trying to do in the game. But unless we see a radical shift in MP design, it is a bit of a mess, a fun mess for some, but ultimately, this is why it is 16 versions of Shipment:

TacticalBrit

13,656 görüntüleme • 2 yıl önce

Nvidia $NVDA CEO Jensen Huang was asked about a recent story that said he warned that China will beat the US in the AI race “That’s not what I said. What I said was China has very good AI technology. They have many AI researchers, in fact 50% of the world’s AI researchers are in China. And they develop very good AI technology. In fact, the most popular AI models in the world today, open-source models, are from China. So, they are moving very, very fast. The United States has to continue to move incredibly fast. And otherwise, otherwise – the world is very competitive, so we have to run fast.” (H/T Dan Nystedt)
0:42

Nvidia $NVDA CEO Jensen Huang was asked about a recent story that said he warned that China will beat the US in the AI race “That’s not what I said. What I said was China has very good AI technology. They have many AI researchers, in fact 50% of the world’s AI researchers are in China. And they develop very good AI technology. In fact, the most popular AI models in the world today, open-source models, are from China. So, they are moving very, very fast. The United States has to continue to move incredibly fast. And otherwise, otherwise – the world is very competitive, so we have to run fast.” (H/T Dan Nystedt)

Evan

1,946,910 görüntüleme • 9 ay önce