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🚨 𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: 𝗧𝗵𝗲 𝗘𝗨 𝗷𝘂𝘀𝘁 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝐭𝐡𝐞 𝐥𝐚𝐫𝐠𝐞𝐬𝐭 𝐀𝐈 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝗶𝗻 𝗵𝗶𝘀𝘁𝗼𝗿𝘆: €200 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗼 𝗰𝗿𝗲𝗮𝘁𝗲 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗔𝗜 𝐥𝐞𝐚𝐝𝐞𝐫𝐬. EU Commission President Ursula von der Leyen just announced the EU InvestAI initiative to mobilise €200 billion in AI investments. This aims to strengthen Europe's AI leadership and compete with... show more

Poonam Soni

189,802 subscribers

18,009 просмотров • 1 год назад •via X (Twitter)

Наука и технологии Новости и политика

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля | ᴍᴜᴀᴢ | (Ø,G)

| ᴍᴜᴀᴢ | (Ø,G)1 год назад

when the whole world is done with AI in 3 decades we are just starting 😡🤣🤣🤣

Фото профиля Poonam Soni

Poonam Soni1 год назад

But with HUGE investment 💰

Фото профиля Vance Ginn

Vance Ginn1 год назад

The U.S. tech sector leads global innovation with $450 billion in annual R&D investments, which drive advancements in AI, biotechnology, cybersecurity, and energy. But too often government gets in the way. There's a better way! Find out: @NetChoice

Фото профиля Alexander West

Alexander West1 год назад

when they go all in on nuclear, start fracking and anything else to lower the cost of energy, i might start to believe it

Фото профиля Rohit Al

Rohit Al1 год назад

AI fears me 😀

Фото профиля Anthara Fairooz

Anthara Fairooz1 год назад

Impressive move to boost AI in Europe! Exciting times ahead.

Фото профиля Mike

Mike1 год назад

Better late than never, right

Фото профиля Poonam Soni

Poonam Soni1 год назад

Investment is huge. I think they will pick pace fast.

Фото профиля BasedHunter

BasedHunter1 год назад

No trust

Фото профиля Shushant Lakhyani

Shushant Lakhyani1 год назад

Woah

Фото профиля Albretch

Albretch1 год назад

Psycho pass sybill systems online… we’ll have crime coefficient soon ☠️

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If you’re working in AI, you most likely saw the just-released 2025 State of AI Report from Nathan Benaich, Founder and General Partner at Air Street Capital. The annual report is a must-read deep dive into the state of the industry, with this year’s highlights including: reasoning going mainstream; AI models becoming active co-scientists; and serious commercial traction, with 44% of US businesses now paying for AI tools. Tomorrow, get the behind-the-scenes story on the report and much more in a new episode of TechBio Talks, featuring Nathan in conversation with Chris Gibson. In it, Nathan shares what it means to be an “AI-first investor” and how his approach has evolved over time with the rapid acceleration of technology. As he says in the clip, he’s interested in companies where “The AI is the product.” 🎙️ Subscribe to TechBio Talks on: ▪️ Spotify: ▪️ YouTube: ▪️ Apple:

Recursion

13,947 просмотров • 9 месяцев назад

🇨🇳 China’s AI+ economy isn’t chasing AGI fantasies, it’s rebuilding the foundations of a real economy. Watch this WEF panel and one thing becomes obvious: Western commentators keep asking, “Has China caught up?” China is asking, “How do we deploy AI across an entire nation?” Two completely different civilizational contexts. China’s strategy isn’t AGI worship, it’s diffusion, cost reduction, and industrial embedding. AI isn’t a demo or a press release. It’s flowing into manufacturing, logistics, finance, autonomous driving, energy, into the places where real value is created. Core points from the panel: 1. AI Action Plan — China is not obsessed with AGI timelines, but with making AI cheap, scalable, and ubiquitous. 2. Adoption Targets — 70% AI device penetration by 2027, 90% by 2030. 3. Extreme Efficiency — top labs are producing competitive models with 1% of the resources used by Western labs. 4. Market-first ecosystem — 85% approval for autonomous driving; China is the world’s largest real-world sandbox for AI-native services like RoboTaxi. 5. Infrastructure advantage — energy strategy + green data centers = long-term compute stability. 6. Full industrial chain integration — AI is lowering costs in retail design, marketing, drug R&D, and more — turning AI into a return-on-investment engine, not a bubble. 7. Education reform — AI literacy is being embedded from elementary school; the challenge isn’t “AI taking jobs” but raising students who can think deeper than AI’s instant answers. 8. DeepSeek moment — the benchmark shock isn’t a one-off; China’s iteration speed is accelerating. Meanwhile, Western CEOs keep saying the quiet part out loud: “We can’t pause AI because China won’t.” Exactly. Because China’s AI isn’t built for headlines, it’s built for industry, productivity, and national-scale deployment. China is no longer playing the same game, it already moved to the next board. The West debates safety memos, China deploys AI to 1.4 billion people. This is what an AI+ economy actually looks like.

🇨🇳 China’s AI+ economy isn’t chasing AGI fantasies, it’s rebuilding the foundations of a real economy. Watch this WEF panel and one thing becomes obvious: Western commentators keep asking, “Has China caught up?” China is asking, “How do we deploy AI across an entire nation?” Two completely different civilizational contexts. China’s strategy isn’t AGI worship, it’s diffusion, cost reduction, and industrial embedding. AI isn’t a demo or a press release. It’s flowing into manufacturing, logistics, finance, autonomous driving, energy, into the places where real value is created. Core points from the panel: 1. AI Action Plan — China is not obsessed with AGI timelines, but with making AI cheap, scalable, and ubiquitous. 2. Adoption Targets — 70% AI device penetration by 2027, 90% by 2030. 3. Extreme Efficiency — top labs are producing competitive models with 1% of the resources used by Western labs. 4. Market-first ecosystem — 85% approval for autonomous driving; China is the world’s largest real-world sandbox for AI-native services like RoboTaxi. 5. Infrastructure advantage — energy strategy + green data centers = long-term compute stability. 6. Full industrial chain integration — AI is lowering costs in retail design, marketing, drug R&D, and more — turning AI into a return-on-investment engine, not a bubble. 7. Education reform — AI literacy is being embedded from elementary school; the challenge isn’t “AI taking jobs” but raising students who can think deeper than AI’s instant answers. 8. DeepSeek moment — the benchmark shock isn’t a one-off; China’s iteration speed is accelerating. Meanwhile, Western CEOs keep saying the quiet part out loud: “We can’t pause AI because China won’t.” Exactly. Because China’s AI isn’t built for headlines, it’s built for industry, productivity, and national-scale deployment. China is no longer playing the same game, it already moved to the next board. The West debates safety memos, China deploys AI to 1.4 billion people. This is what an AI+ economy actually looks like.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

13,847 просмотров • 6 месяцев назад

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

Gipp 🦅

11,334 просмотров • 23 дней назад

The ongoing crisis in our national air transportation system caused by the halt in funding for Air Traffic Controllers is going to lead to discussions about replacing many human ATCs with AI ATC (with a larger conversation regarding aI piloting looming on the horizon). Just yesterday, CNN India reported that the Air Traffic Safety Electronic Personnel Association shared guidelines for how to implement AI into the current ATC systems. China is making significant strides in developing and using AI for air traffic control (ATC) to enhance efficiency and safety. They have projects like Alibaba Cloud's "ET Aviation Brain" aimed at managing airport congestion and systems that focus on predictive analytics and better situational awareness. This marks the initial phase of "assisting" human ATCs, which will eventually result in their complete replacement. For instance, China has poured a lot of money into AI-controlled shipping container ports, with major locations like Shanghai's Yangshan Deep-Water Port and Qingdao Port leading the charge in full automation (I have shown videos of China's AI port operations in several of my presentations). These automated terminals utilize AI, 5G, and other cutting-edge technologies such as driverless trucks and automated cranes. Numerous ports in China are now fully automated, removing the need for human presence on the docks during loading and unloading. This is merely the next step into the 4th Industrial Revolution (4IR), where human operation is seen as problematic and outdated compared to capable AI. Therefore, anticipate that the current ATC problem and the public's reaction to the problem will result in AI being proposed as the solution.

The ongoing crisis in our national air transportation system caused by the halt in funding for Air Traffic Controllers is going to lead to discussions about replacing many human ATCs with AI ATC (with a larger conversation regarding aI piloting looming on the horizon). Just yesterday, CNN India reported that the Air Traffic Safety Electronic Personnel Association shared guidelines for how to implement AI into the current ATC systems. China is making significant strides in developing and using AI for air traffic control (ATC) to enhance efficiency and safety. They have projects like Alibaba Cloud's "ET Aviation Brain" aimed at managing airport congestion and systems that focus on predictive analytics and better situational awareness. This marks the initial phase of "assisting" human ATCs, which will eventually result in their complete replacement. For instance, China has poured a lot of money into AI-controlled shipping container ports, with major locations like Shanghai's Yangshan Deep-Water Port and Qingdao Port leading the charge in full automation (I have shown videos of China's AI port operations in several of my presentations). These automated terminals utilize AI, 5G, and other cutting-edge technologies such as driverless trucks and automated cranes. Numerous ports in China are now fully automated, removing the need for human presence on the docks during loading and unloading. This is merely the next step into the 4th Industrial Revolution (4IR), where human operation is seen as problematic and outdated compared to capable AI. Therefore, anticipate that the current ATC problem and the public's reaction to the problem will result in AI being proposed as the solution.

Michael O'Fallon - Sovereign Nations

14,885 просмотров • 9 месяцев назад

Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️

Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️

ZayaAI

18,015 просмотров • 1 год назад

🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. 📚 SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. 🔬 MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. 🧮 Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. 💡 Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. 🌐 Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs 🚀 Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! 🌟 Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! 🚀🌍 Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! 🤯🚀]

🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. 📚 SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. 🔬 MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. 🧮 Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. 💡 Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. 🌐 Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs 🚀 Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! 🌟 Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! 🚀🌍 Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! 🤯🚀]

Andy ττ

30,418 просмотров • 1 год назад

Trump just gave 13 tech billionaires the keys to America's AI policy. But there's a HUGE conflict of interest... The White House just announced the President's Council of Advisors on Science and Technology. Sounds boring. But wait until you understand what this is actually about. Here's who's on it: - Jensen Huang. CEO of Nvidia. His company sells the chips that EVERY AI company on Earth needs to survive. Nvidia is worth $4.4 trillion. And Jensen now gets to advise the president on the rules for the industry his company monopolizes. - Mark Zuckerberg. CEO of Meta. Currently planning to fire 20% of his workforce (15,000 people) while spending $135 billion on AI this year. His company just took a Pentagon contract. Now he's advising on AI workforce policy. The same guy firing 15,000 workers will help decide what happens to American workers displaced by AI. - Larry Ellison. Executive Chairman of Oracle. His company is $125 billion in debt. Bleeding cash. Betting everything on AI data centers funded by borrowed money from foreign banks. US lenders already turned him down. And he's now advising on AI infrastructure policy. The guy who can't get American banks to lend him money is going to shape how America builds its AI future. - Marc Andreessen. The venture capitalist who literally wrote the manifesto called "The Techno-Optimist Manifesto" arguing that AI regulation is dangerous. His firm Andreessen Horowitz has billions invested in AI startups. He's now advising on AI regulation. - Sergey Brin. Google co-founder. His company is spending $75 billion on AI this year and just issued $20 billion in debt including a 100-YEAR bond to fund it. - Lisa Su. CEO of AMD. Nvidia's direct competitor. Both CEOs are on the same council. Both will advise on chip policy. Both have financial interests that directly conflict with each other AND with the public interest. - Michael Dell. The guy who just dropped $6.25 billion on Trump's child investment accounts and gained $6 billion in market value the same week. - Safra Catz. Oracle's CEO. Same company. Same debt crisis. Two Oracle execs on a 13 person council. - Fred Ehrsam. Co-founder of Coinbase. The crypto exchange. On a council co-chaired by David Sacks, Trump's AI AND crypto czar. Crypto and AI policy being shaped by the same people who profit from both. - Jacob DeWitte. CEO of Oklo, the nuclear startup Sam Altman chaired until last year. Oklo builds reactors to power AI data centers. Now advising on the energy policy his company depends on. - Bob Mumgaard. CEO of Commonwealth Fusion Systems. Backed by Nvidia and Google. Building fusion reactors for AI data centers. His investors are sitting next to him on this council. - David Friedberg. Venture capitalist. Part of the Sacks network. - John Martinis. Google's former quantum computing lead. Built the chip that achieved quantum supremacy. That's 13 people. Combined market cap of the companies represented: Over $12 trillion. Combined AI spending commitments for 2026 alone: Roughly $700 billion. Zero consumer advocates. Zero labor representatives. Zero independent scientists. Zero ethicists. The people spending $700 billion on AI are now advising the government on how to regulate AI. The people firing hundreds of thousands of workers are now advising on workforce policy. The people $125 billion in debt from AI bets are now advising on AI infrastructure spending. This isn't a "council." Every regulation this council recommends will directly affect their stock prices, their market positions, and their competitive advantages. Jensen Huang advising on chip export policy affects Nvidia's revenue. Zuckerberg advising on AI safety regulation affects Meta's product roadmap. Ellison advising on cloud infrastructure policy affects Oracle's survival. Andreessen advising on AI startup regulation affects his portfolio returns. In any other industry, this would be called regulatory capture. In tech, they call it the "Golden Age of Innovation." 11 more seats are open. The first meeting hasn't been announced yet. But the rules of AI in America are about to be written by the people who profit the most from keeping them loose. What do you think about this?

Trump just gave 13 tech billionaires the keys to America's AI policy. But there's a HUGE conflict of interest... The White House just announced the President's Council of Advisors on Science and Technology. Sounds boring. But wait until you understand what this is actually about. Here's who's on it: - Jensen Huang. CEO of Nvidia. His company sells the chips that EVERY AI company on Earth needs to survive. Nvidia is worth $4.4 trillion. And Jensen now gets to advise the president on the rules for the industry his company monopolizes. - Mark Zuckerberg. CEO of Meta. Currently planning to fire 20% of his workforce (15,000 people) while spending $135 billion on AI this year. His company just took a Pentagon contract. Now he's advising on AI workforce policy. The same guy firing 15,000 workers will help decide what happens to American workers displaced by AI. - Larry Ellison. Executive Chairman of Oracle. His company is $125 billion in debt. Bleeding cash. Betting everything on AI data centers funded by borrowed money from foreign banks. US lenders already turned him down. And he's now advising on AI infrastructure policy. The guy who can't get American banks to lend him money is going to shape how America builds its AI future. - Marc Andreessen. The venture capitalist who literally wrote the manifesto called "The Techno-Optimist Manifesto" arguing that AI regulation is dangerous. His firm Andreessen Horowitz has billions invested in AI startups. He's now advising on AI regulation. - Sergey Brin. Google co-founder. His company is spending $75 billion on AI this year and just issued $20 billion in debt including a 100-YEAR bond to fund it. - Lisa Su. CEO of AMD. Nvidia's direct competitor. Both CEOs are on the same council. Both will advise on chip policy. Both have financial interests that directly conflict with each other AND with the public interest. - Michael Dell. The guy who just dropped $6.25 billion on Trump's child investment accounts and gained $6 billion in market value the same week. - Safra Catz. Oracle's CEO. Same company. Same debt crisis. Two Oracle execs on a 13 person council. - Fred Ehrsam. Co-founder of Coinbase. The crypto exchange. On a council co-chaired by David Sacks, Trump's AI AND crypto czar. Crypto and AI policy being shaped by the same people who profit from both. - Jacob DeWitte. CEO of Oklo, the nuclear startup Sam Altman chaired until last year. Oklo builds reactors to power AI data centers. Now advising on the energy policy his company depends on. - Bob Mumgaard. CEO of Commonwealth Fusion Systems. Backed by Nvidia and Google. Building fusion reactors for AI data centers. His investors are sitting next to him on this council. - David Friedberg. Venture capitalist. Part of the Sacks network. - John Martinis. Google's former quantum computing lead. Built the chip that achieved quantum supremacy. That's 13 people. Combined market cap of the companies represented: Over $12 trillion. Combined AI spending commitments for 2026 alone: Roughly $700 billion. Zero consumer advocates. Zero labor representatives. Zero independent scientists. Zero ethicists. The people spending $700 billion on AI are now advising the government on how to regulate AI. The people firing hundreds of thousands of workers are now advising on workforce policy. The people $125 billion in debt from AI bets are now advising on AI infrastructure spending. This isn't a "council." Every regulation this council recommends will directly affect their stock prices, their market positions, and their competitive advantages. Jensen Huang advising on chip export policy affects Nvidia's revenue. Zuckerberg advising on AI safety regulation affects Meta's product roadmap. Ellison advising on cloud infrastructure policy affects Oracle's survival. Andreessen advising on AI startup regulation affects his portfolio returns. In any other industry, this would be called regulatory capture. In tech, they call it the "Golden Age of Innovation." 11 more seats are open. The first meeting hasn't been announced yet. But the rules of AI in America are about to be written by the people who profit the most from keeping them loose. What do you think about this?

Ricardo

218,552 просмотров • 4 месяцев назад

𝐈 𝐟𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐀𝐯𝐚𝐭𝐚𝐫 𝐨𝐟 𝐀𝐈 𝐱 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧 ➮ 𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐩𝐨𝐰𝐞𝐫, 𝐛𝐚𝐥𝐚𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐬𝐩𝐞𝐞𝐝 𝐨𝐧 𝐒𝐨𝐥𝐚𝐧𝐚 ⏬ ✧ TARS AI > If you're sleeping on TARS AI 🤖, you’re behind the curve, but you’re still early enough to catch up. Don't walk.. run🍷 ✧ What is TARS AI about? Tars just launched the World’s First AI Token Marketplace - Where AI agents aren’t just services…They’re assets 𝙊𝙬𝙣𝙖𝙗𝙡𝙚 ~ 𝙏𝙧𝙖𝙙𝙖𝙗𝙡𝙚 ~𝙈𝙤𝙣𝙚𝙩𝙞𝙯𝙖𝙗𝙡𝙚..In under 5 minutes These agents are powered by OpenAI, Claude, DeepSeek, and more They learn from your on-chain and off-chain data and scale with bonding curves. This is type of AI you can clone from your X profile Imagine spinning up a digital version of you then staking it and trading it? Crazy right 𝐓𝐚𝐫𝐬 𝐣𝐮𝐬𝐭 𝐭𝐮𝐫𝐧𝐞𝐝 𝐢𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐢𝐧𝐭𝐨 𝐮𝐭𝐢𝐥𝐢𝐭𝐲 ✧ The real kicker? Tars is backed by Solana Foundation, NVIDIA, and top Web3 minds. It’s the AI layer Solana has been waiting for ➮ Agents = tokens ➮ Tokens = liquidity ➮ Liquidity = power •••• ••• ••••• ✧ Elon musk once said “𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘴𝘩𝘰𝘶𝘭𝘥 𝘭𝘰𝘰𝘬 𝘭𝘪𝘬𝘦 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦” well it’s happening 𝐍𝐨𝐰 The testnet is live. The agents are active. The marketplace is moving. …and it’s only going to get louder.Everything AI 🤝 On-chain. AI is the new frontier and Tars is your gateway > Don't just use AI; Be the Avatar of it ✧ Explore now : [ X: TARS AI 🤖

O M A

34,227 просмотров • 1 год назад

🚨EXCLUSIVE INTERVIEW – OPENAI’S 1ST INVESTOR: AI WILL SAVE US—OR DESTROY US Vinod Khosla was the first major investor in OpenAI. Now, he says AI will replace all human jobs, upend geopolitics, and redefine the meaning of life. Vinod breaks down the race for AI dominance—and the two futures ahead: one utopian, one dystopian. He warns China could weaponize “persuasive AI” to spread ideology, buy influence, and take over the world—not through kinetic war, but a war of the minds. He argues most of today’s jobs are “human servitude”—and that AI could finally free humanity from the burden of survival. And he believes robotics and AI will merge with our species, triggering the biggest transformation in human purpose since the dawn of civilization. This is a conversation you don’t want to miss. 02:42 – “People who don’t adopt AI will be obsoleted by those who do.” 04:29 – Productivity will explode. So will income inequality. 05:39 – Elections could soon be decided by AI’s impact on jobs. 09:21 – What if AI becomes a superintelligence with its own goals? 12:35 – “The biggest risk is AI in China’s hands.” 15:26 – Could giving AI full control make the world better? 20:16 – “The most fearsome threat is persuasive AI.” 22:12 – AI agents will protect us from other AIs. 23:33 – AI could replace 80% of jobs within 2–3 years of capability. 28:14 – We will no longer be driven by survival—but by passion. 29:58 – “Most jobs today are servitude.” 34:53 – Humans will no longer be the most intelligent species on Earth. 38:15 – Will AI merge with humans? 42:24 – “Survival will no longer drive us. That’s a first in history.” 44:39 – Could AI destroy us by simply pursuing its goals too well? 47:33 – Can AI be trained to care for us? 52:25 – Humanity never worked as one. But AI might force that reckoning. 56:52 – Should AI be allowed to make military decisions? 59:15 – “We need AI deterrence. Like nuclear deterrence.” 01:03:15 – Will humans fall in love with AI? It’s already happening. 01:07:21 – By 2040: 1 billion robots will do more labor than all humans. 01:13:01 – “AI is already better than most humans at most jobs.” 01:14:29 – “AI will free humanity to be what it wants to be.”

🚨EXCLUSIVE INTERVIEW – OPENAI’S 1ST INVESTOR: AI WILL SAVE US—OR DESTROY US Vinod Khosla was the first major investor in OpenAI. Now, he says AI will replace all human jobs, upend geopolitics, and redefine the meaning of life. Vinod breaks down the race for AI dominance—and the two futures ahead: one utopian, one dystopian. He warns China could weaponize “persuasive AI” to spread ideology, buy influence, and take over the world—not through kinetic war, but a war of the minds. He argues most of today’s jobs are “human servitude”—and that AI could finally free humanity from the burden of survival. And he believes robotics and AI will merge with our species, triggering the biggest transformation in human purpose since the dawn of civilization. This is a conversation you don’t want to miss. 02:42 – “People who don’t adopt AI will be obsoleted by those who do.” 04:29 – Productivity will explode. So will income inequality. 05:39 – Elections could soon be decided by AI’s impact on jobs. 09:21 – What if AI becomes a superintelligence with its own goals? 12:35 – “The biggest risk is AI in China’s hands.” 15:26 – Could giving AI full control make the world better? 20:16 – “The most fearsome threat is persuasive AI.” 22:12 – AI agents will protect us from other AIs. 23:33 – AI could replace 80% of jobs within 2–3 years of capability. 28:14 – We will no longer be driven by survival—but by passion. 29:58 – “Most jobs today are servitude.” 34:53 – Humans will no longer be the most intelligent species on Earth. 38:15 – Will AI merge with humans? 42:24 – “Survival will no longer drive us. That’s a first in history.” 44:39 – Could AI destroy us by simply pursuing its goals too well? 47:33 – Can AI be trained to care for us? 52:25 – Humanity never worked as one. But AI might force that reckoning. 56:52 – Should AI be allowed to make military decisions? 59:15 – “We need AI deterrence. Like nuclear deterrence.” 01:03:15 – Will humans fall in love with AI? It’s already happening. 01:07:21 – By 2040: 1 billion robots will do more labor than all humans. 01:13:01 – “AI is already better than most humans at most jobs.” 01:14:29 – “AI will free humanity to be what it wants to be.”

Mario Nawfal

2,901,662 просмотров • 1 год назад