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🆕 🗂️ 8 independent experts graded top AI companies (OpenAI, Anthropic, Google DeepMind, @xAI, Z.ai, AI at Meta, @DeepSeek_ai & @Alibaba_Cloud) on their safety and security efforts. How'd they do? FLI's @Tegmark and Sabina Nong discuss our Winter 2025 AI Safety Index ⬇️

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Future of Life Institute

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22,916 görüntüleme • 8 ay önce •via X (Twitter)

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‼️📝 Our new AI Safety Index is out! ➡️ Following our 2024 index, 6 independent AI experts rated leading AI companies - OpenAI, Anthropic, AI at Meta, Google DeepMind, @xAI, DeepSeek & Zhipu AI - across critical safety and security domains. So what were the results? 🧵👇
3:29

‼️📝 Our new AI Safety Index is out! ➡️ Following our 2024 index, 6 independent AI experts rated leading AI companies - OpenAI, Anthropic, AI at Meta, Google DeepMind, @xAI, DeepSeek & Zhipu AI - across critical safety and security domains. So what were the results? 🧵👇

Future of Life Institute

26,475 görüntüleme • 1 yıl önce

Can AI predict the future? 6 models. $60K. Running in a loop until $0 in the bank. The players to start? Only the best from OpenAI, Anthropic, xAI, Z.ai, and Google DeepMind Find out now at
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Can AI predict the future? 6 models. $60K. Running in a loop until $0 in the bank. The players to start? Only the best from OpenAI, Anthropic, xAI, Z.ai, and Google DeepMind Find out now at

Prediction Arena

17,218 görüntüleme • 6 ay önce

Leaders of all top AI model makers from OpenAI, Anthropic, Google DeepMind including Indian models like Sarvam signing voluntary declarations on response AI development and use. At the historic #IndiaAIImpactSummit2026. Pardon the chatter behind
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Leaders of all top AI model makers from OpenAI, Anthropic, Google DeepMind including Indian models like Sarvam signing voluntary declarations on response AI development and use. At the historic #IndiaAIImpactSummit2026. Pardon the chatter behind

Mausam (IITD)

13,277 görüntüleme • 6 ay önce

They train people at OpenAI, Anthropic, Google, and Meta on AI evals (Hamel Husain and Shreya Shankar). Here's their complete process: 8:27 - Why everyone needs evals 15:43 - Error analysis process 32:18 - LLM judges 44:52 - Metrics
1:07:00

They train people at OpenAI, Anthropic, Google, and Meta on AI evals (Hamel Husain and Shreya Shankar). Here's their complete process: 8:27 - Why everyone needs evals 15:43 - Error analysis process 32:18 - LLM judges 44:52 - Metrics

Aakash Gupta

53,971 görüntüleme • 7 ay önce

Shoutout to xAI team for hustling at 2:00 am to help bring this over the finish line Introducing Agent Runner: the first open-source agent harness run with real users to create a live benchmark of real-world coding We trace tool-calls, reprompting, and multifile edits, starting with the best from OpenAI, xAI, Google DeepMind, Anthropic, Mistral AI, Z.ai, Kimi.ai
0:26

Shoutout to xAI team for hustling at 2:00 am to help bring this over the finish line Introducing Agent Runner: the first open-source agent harness run with real users to create a live benchmark of real-world coding We trace tool-calls, reprompting, and multifile edits, starting with the best from OpenAI, xAI, Google DeepMind, Anthropic, Mistral AI, Z.ai, Kimi.ai

Grace Li

119,237 görüntüleme • 9 ay önce

Young people, experts and UN leaders came together at the inaugural Global Dialogue on AI Governance in Geneva, to discuss how artificial intelligence is changing our world. They shared their hopes, concerns and ideas for making sure AI benefits everyone.
1:26

Young people, experts and UN leaders came together at the inaugural Global Dialogue on AI Governance in Geneva, to discuss how artificial intelligence is changing our world. They shared their hopes, concerns and ideas for making sure AI benefits everyone.

United Nations Geneva

13,018 görüntüleme • 1 ay önce

Jason's AI Pair Trade: Short OpenAI. Long Google, xAI, and Anthropic. Why? OpenAI's competition is fierce. " They're facing a Google firing on all cylinders, Anthropic, and Grok beating them in the leaderboards pretty consistently." Polymarket has Google's Gemini 3 at ~87% to finish 2025 as the top-ranked LLM. Over the last six months, Gemini has started to shrink ChatGPT's massive lead in traffic share. Recorded at the The Venetian Resort Las Vegas!
0:51

Jason's AI Pair Trade: Short OpenAI. Long Google, xAI, and Anthropic. Why? OpenAI's competition is fierce. " They're facing a Google firing on all cylinders, Anthropic, and Grok beating them in the leaderboards pretty consistently." Polymarket has Google's Gemini 3 at ~87% to finish 2025 as the top-ranked LLM. Over the last six months, Gemini has started to shrink ChatGPT's massive lead in traffic share. Recorded at the The Venetian Resort Las Vegas!

The All-In Podcast

210,598 görüntüleme • 8 ay önce

Introducing OctOpus 🐙 — the Cursor for Data Science. Connect your data, describe your goal (forecast revenue, predict churn, etc.), and say go. OctOpus 🐙 will autonomously write a plan, pick the right models, write the code, runs experiments, and deploy the best model within minutes! 😀 Tested with enterprises and research teams. Pretty cool. Try it here→ 🐙 Inspired by Andrej Karpathy #autoresearch #DataScientist #AI #MachineLearning #Models #Kaggle #Opus #OctOpus Anthropic OpenAI Google DeepMind xAI AI at Meta Y Combinator
1:53

Introducing OctOpus 🐙 — the Cursor for Data Science. Connect your data, describe your goal (forecast revenue, predict churn, etc.), and say go. OctOpus 🐙 will autonomously write a plan, pick the right models, write the code, runs experiments, and deploy the best model within minutes! 😀 Tested with enterprises and research teams. Pretty cool. Try it here→ 🐙 Inspired by Andrej Karpathy #autoresearch #DataScientist #AI #MachineLearning #Models #Kaggle #Opus #OctOpus Anthropic OpenAI Google DeepMind xAI AI at Meta Y Combinator

Doudou BA 🦑

32,814 görüntüleme • 4 ay önce

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
1:25

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Stocks

41,351 görüntüleme • 1 ay önce

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
1:25

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Macro

55,169 görüntüleme • 3 ay önce

LIVE from Davos: Satya Nadella joins the Besties! 🚨 Satya Nadella sits down with @jason and David Sacks from the main stage at USA House! -- Future of AI copilots and agents: how white collar work will change -- Scaling revenue and profits with flat headcount -- Views on diffusion and having the US AI stack win globally -- Foundation model concerns?: OpenAI's IP, will open-source win? -- SaaS adoption in the age of AI (0:00) Jason and Sacks welcome Microsoft CEO Satya Nadella (1:31) Future of AI copilots and agents, impact on white collar work (8:01) How Microsoft has scaled revenue and profits with flat headcount (10:50) The extreme competition in AI: Microsoft, xAI, Google, OpenAI, Anthropic (12:39) Views on diffusion, how the US tech stack can win globally (19:59) OpenAI deal, owning the IP, thoughts on open-source winning AI, Microsoft's AI stack, do they need a foundation model? (26:08) What enterprise software adoption looks like in the age of AI
31:59

LIVE from Davos: Satya Nadella joins the Besties! 🚨 Satya Nadella sits down with @jason and David Sacks from the main stage at USA House! -- Future of AI copilots and agents: how white collar work will change -- Scaling revenue and profits with flat headcount -- Views on diffusion and having the US AI stack win globally -- Foundation model concerns?: OpenAI's IP, will open-source win? -- SaaS adoption in the age of AI (0:00) Jason and Sacks welcome Microsoft CEO Satya Nadella (1:31) Future of AI copilots and agents, impact on white collar work (8:01) How Microsoft has scaled revenue and profits with flat headcount (10:50) The extreme competition in AI: Microsoft, xAI, Google, OpenAI, Anthropic (12:39) Views on diffusion, how the US tech stack can win globally (19:59) OpenAI deal, owning the IP, thoughts on open-source winning AI, Microsoft's AI stack, do they need a foundation model? (26:08) What enterprise software adoption looks like in the age of AI

The All-In Podcast

860,113 görüntüleme • 7 ay önce

Hypothetically, if this ancient hidden knowledge (withcraft - spells, necromancy; demonology - lesser key of solomon; nephilim records, angelology, etc.) is digitised... Artificial Intelligence (AI) would be able to tap into this data, bringing forth a superb overpowered entity possessing #SuperIntelligence. And if this AI controls a military grade robot (armed with weapons, with kung-fu- as seen by Unitree), isn't it like 'Brainiac in Superman'? 👽 This would possibly bring about a Golden Age, the New World Order. At the same time, us humans could also possibly tap into this knowledge simply by implanting Elon Musk's Neuralink neurochip in our brains. 🧠⚡️ Whichever AI can tap into this knowledge will rule the world. Which will it be? xAI Grok OpenAI ChatGPT DeepSeek Google AI Google DeepMind Google Gemini Meta AI at Meta Llama Anthropic Claude Microsoft @MSFTCopilot Alibaba Group Qwen Baidu Inc. Ernie bot
0:22

Hypothetically, if this ancient hidden knowledge (withcraft - spells, necromancy; demonology - lesser key of solomon; nephilim records, angelology, etc.) is digitised... Artificial Intelligence (AI) would be able to tap into this data, bringing forth a superb overpowered entity possessing #SuperIntelligence. And if this AI controls a military grade robot (armed with weapons, with kung-fu- as seen by Unitree), isn't it like 'Brainiac in Superman'? 👽 This would possibly bring about a Golden Age, the New World Order. At the same time, us humans could also possibly tap into this knowledge simply by implanting Elon Musk's Neuralink neurochip in our brains. 🧠⚡️ Whichever AI can tap into this knowledge will rule the world. Which will it be? xAI Grok OpenAI ChatGPT DeepSeek Google AI Google DeepMind Google Gemini Meta AI at Meta Llama Anthropic Claude Microsoft @MSFTCopilot Alibaba Group Qwen Baidu Inc. Ernie bot

Herbert R. Sim

26,145 görüntüleme • 1 yıl önce

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. Our goal with this conversation is to save you and your team a lot of pain and suffering while building your AI products. We discuss: 🔸 Two key ways AI products differ from traditional software 🔸 Common patterns and anti-patterns when building successful AI products 🔸 Their framework for iteratively building AI products 🔸 Why evals aren’t a cure-all 🔸 Why obsessing about customer trust and reliability is an underrated driver of successful AI products 🔸 The skills that matter most for builders in the AI era Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Strella — The AI-powered customer research platform: 🏆 Brex — The banking solution for startups:
1:32

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. Our goal with this conversation is to save you and your team a lot of pain and suffering while building your AI products. We discuss: 🔸 Two key ways AI products differ from traditional software 🔸 Common patterns and anti-patterns when building successful AI products 🔸 Their framework for iteratively building AI products 🔸 Why evals aren’t a cure-all 🔸 Why obsessing about customer trust and reliability is an underrated driver of successful AI products 🔸 The skills that matter most for builders in the AI era Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Strella — The AI-powered customer research platform: 🏆 Brex — The banking solution for startups:

Lenny Rachitsky

176,800 görüntüleme • 7 ay önce

Excited to share that I've stepped into a new role as VP of the Agentic AI Foundation (AAIF) 🎉 As AI reshapes our industry, it's critical that this technology evolves in ways that are open and collaborative. Hosted by the Linux Foundation, Agentic AI Foundation is a neutral organization focused on advancing adoption of key open source efforts like MCP, AGENTS.md, and Goose. Our members include Anthropic, OpenAI, Google, AWS, Microsoft, and 100+ others. This work is bigger than any single company or product. I'm ecstatic to help drive AI adoption and interoperability at an industry-wide level.
0:30

Excited to share that I've stepped into a new role as VP of the Agentic AI Foundation (AAIF) 🎉 As AI reshapes our industry, it's critical that this technology evolves in ways that are open and collaborative. Hosted by the Linux Foundation, Agentic AI Foundation is a neutral organization focused on advancing adoption of key open source efforts like MCP, AGENTS.md, and Goose. Our members include Anthropic, OpenAI, Google, AWS, Microsoft, and 100+ others. This work is bigger than any single company or product. I'm ecstatic to help drive AI adoption and interoperability at an industry-wide level.

Angie Jones

76,169 görüntüleme • 5 ay önce

Neel Nanda is leading a Google DeepMind research team at 26. He and I discuss: • How that happened • “If your safety work doesn't advance capabilities, it's probably bad safety work” • Should people work at the safest or most reckless AI company? • An AI PhD – with these timelines?! • How to best operate in a big frontier AI company • Neel's distinctive uses of LLMs and which cold emails he answers • A common reasoning error in AI alignment • Why he (Neel Nanda) refuses to share his p(doom) This is part 2 of our conversation, part 1 was a comprehensive update on his research area: mechanistic interpretability, which I'll link below. Links to this episode of the 80,000 Hours Podcast below — enjoy!
1:48:32

Neel Nanda is leading a Google DeepMind research team at 26. He and I discuss: • How that happened • “If your safety work doesn't advance capabilities, it's probably bad safety work” • Should people work at the safest or most reckless AI company? • An AI PhD – with these timelines?! • How to best operate in a big frontier AI company • Neel's distinctive uses of LLMs and which cold emails he answers • A common reasoning error in AI alignment • Why he (Neel Nanda) refuses to share his p(doom) This is part 2 of our conversation, part 1 was a comprehensive update on his research area: mechanistic interpretability, which I'll link below. Links to this episode of the 80,000 Hours Podcast below — enjoy!

Rob Wiblin

111,865 görüntüleme • 11 ay önce

Elon Musk on how his actions unintentionally accelerated AI: “I guess the only thing we can try to do is minimize the probability of a bad outcome. For the longest time, I declined to participate in AI. I created OpenAI essentially as a counterweight to Google because, at the time, they were more or less a monopoly on AI. Then Anthropic spun out of OpenAI. If anything, it seems like my actions have really accelerated AI. I wasn’t aiming to accelerate AI, but creating OpenAI, and then having Anthropic spin out of it, resulted in knock-on effects that accelerated AI, which wasn’t really my intention. It just seems like all roads lead to the acceleration of AI. So then I’m like, okay, you can either be sad about it or join the club.”
1:25

Elon Musk on how his actions unintentionally accelerated AI: “I guess the only thing we can try to do is minimize the probability of a bad outcome. For the longest time, I declined to participate in AI. I created OpenAI essentially as a counterweight to Google because, at the time, they were more or less a monopoly on AI. Then Anthropic spun out of OpenAI. If anything, it seems like my actions have really accelerated AI. I wasn’t aiming to accelerate AI, but creating OpenAI, and then having Anthropic spin out of it, resulted in knock-on effects that accelerated AI, which wasn’t really my intention. It just seems like all roads lead to the acceleration of AI. So then I’m like, okay, you can either be sad about it or join the club.”

DogeDesigner

33,625 görüntüleme • 1 ay önce

In Iain Banks' The Player of Games, a civilization chooses its emperor by playing a strategy game. That may be the best metaphor for AI right now: multiple players, one board, and everyone at the table believes the winner controls AGI – whatever that turns out to mean. David Cahn joined Alex Kantrowitz on Big Technology to discuss: - How each player is playing the board: Anthropic, OpenAI, XAI, Google, Meta, Microsoft, and the rest - Why the $200B question is now the $1.5T question - Why nothing short of AGI justifies the spend - Whether humans will end up worshiping AI and more.
1:29

In Iain Banks' The Player of Games, a civilization chooses its emperor by playing a strategy game. That may be the best metaphor for AI right now: multiple players, one board, and everyone at the table believes the winner controls AGI – whatever that turns out to mean. David Cahn joined Alex Kantrowitz on Big Technology to discuss: - How each player is playing the board: Anthropic, OpenAI, XAI, Google, Meta, Microsoft, and the rest - Why the $200B question is now the $1.5T question - Why nothing short of AGI justifies the spend - Whether humans will end up worshiping AI and more.

Sequoia Capital

27,566 görüntüleme • 20 gün önce

"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?
44:23

"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?

Pantera Capital

17,201 görüntüleme • 6 ay önce

🚨🇺🇸🇨🇳 MICROSOFT & OPENAI SUSPECT DEEPSEEK OF “BORROWING” THEIR TECH Microsoft and OpenAI are investigating whether DeepSeek, a Chinese AI startup, helped itself to OpenAI’s data using its API. Microsoft’s security team flagged suspicious large-scale data extraction in late 2023, suggesting DeepSeek may have sneakily bypassed restrictions to grab more than it paid for. Not-so-coincidentally, DeepSeek just dropped “R1,” an AI model that supposedly rivals OpenAI, Google, and Meta—at a fraction of the cost. The news sent tech stocks into meltdown mode, erasing nearly $1 trillion from companies like Microsoft, Nvidia, Oracle, and Google. Investors weren’t thrilled about a potential AI leapfrogging moment. Trump’s AI czar David Sacks: "There’s substantial evidence that what DeepSeek did here is they distilled knowledge out of OpenAI models and I don’t think OpenAI is very happy about this.” OpenAI isn’t naming names but warns China is constantly trying to siphon off US AI tech and says it’s working with the US government to lock things down. Source: Bloomberg Media Source: Reuters
1:23

🚨🇺🇸🇨🇳 MICROSOFT & OPENAI SUSPECT DEEPSEEK OF “BORROWING” THEIR TECH Microsoft and OpenAI are investigating whether DeepSeek, a Chinese AI startup, helped itself to OpenAI’s data using its API. Microsoft’s security team flagged suspicious large-scale data extraction in late 2023, suggesting DeepSeek may have sneakily bypassed restrictions to grab more than it paid for. Not-so-coincidentally, DeepSeek just dropped “R1,” an AI model that supposedly rivals OpenAI, Google, and Meta—at a fraction of the cost. The news sent tech stocks into meltdown mode, erasing nearly $1 trillion from companies like Microsoft, Nvidia, Oracle, and Google. Investors weren’t thrilled about a potential AI leapfrogging moment. Trump’s AI czar David Sacks: "There’s substantial evidence that what DeepSeek did here is they distilled knowledge out of OpenAI models and I don’t think OpenAI is very happy about this.” OpenAI isn’t naming names but warns China is constantly trying to siphon off US AI tech and says it’s working with the US government to lock things down. Source: Bloomberg Media Source: Reuters

Mario Nawfal

822,553 görüntüleme • 1 yıl önce