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Has AI Already Peaked?

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المحتوى المقدم من CNBC. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة CNBC أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Generative AI has developed so quickly in the past two years, massive breakthroughs seemed more a question of “when” rather than “if.” But in recent weeks, Silicon Valley has become increasingly concerned that advancements are slowing. One early indication is the lack of progress between models released by the biggest players in the space. OpenAI is reportedly facing a significantly smaller increase in quality for its next model GPT-5, while Anthropic has delayed the release of its most powerful model Opus, according to wording that was removed from its website. Even at tech giant Google, its upcoming version of Gemini is reportedly not living up to internal expectations. If progress is plateauing, it would call into question a core assumption that Silicon Valley has treated as religion: scaling laws. The idea is that adding more computing power and more data guarantees better models to an infinite degree. But those recent developments suggest they may be more theory than law. The key problem could be that AI companies are running out of data to train models on, hitting what experts call the “data wall.” Instead, they’re turning to synthetic data, or AI-generated data. CNBC’s Deirdre Bosa explores whether AI progress is slowing, and what it means for the industry. Chapters: 0:00-1:03 Introduction 1:03-6:12 Chapter 1 - AI performance anxiety 6:12-10:28 Chapter 2 - Why progress is slowing 10:28-13:25 Chapter 3 - The search for use cases Anchor: Deirdre Bosa Produced by Jasmine Wu, Laura Batchelor, Drew Troast Edited by Lisa Setyon Supervising Producer: Jeniece Pettitt Additional Footage: Getty Images » Subscribe to CNBC: https://cnb.cx/SubscribeCNBC » Subscribe to CNBC TV: https://cnb.cx/SubscribeCNBCtelevision About CNBC: From 'Wall Street' to 'Main Street' to award-winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video, and more. Want to earn more money at work? Take CNBC’s new online course How to Negotiate a Higher Salary. Expert instructors will teach you the skills you need to get a bigger paycheck, including how to prepare and build your confidence, what to do and say, and how to craft a counteroffer: https://cnb.cx/3AVpjia Connect with CNBC News Online Get the latest news: https://www.cnbc.com/ Follow CNBC on LinkedIn: https://cnb.cx/LinkedInCNBC Follow CNBC News on Instagram: https://cnb.cx/InstagramCNBC Follow CNBC News on Facebook: https://cnb.cx/LikeCNBC Follow CNBC on Threads: https://cnb.cx/threads Follow CNBC News on X: https://cnb.cx/FollowCNBC Follow CNBC on WhatsApp: https://cnb.cx/WhatsAppCNBC #CNBC Has AI Already Peaked?
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Has AI Already Peaked?

CNBC

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Manage episode 454844976 series 3004478
المحتوى المقدم من CNBC. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة CNBC أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Generative AI has developed so quickly in the past two years, massive breakthroughs seemed more a question of “when” rather than “if.” But in recent weeks, Silicon Valley has become increasingly concerned that advancements are slowing. One early indication is the lack of progress between models released by the biggest players in the space. OpenAI is reportedly facing a significantly smaller increase in quality for its next model GPT-5, while Anthropic has delayed the release of its most powerful model Opus, according to wording that was removed from its website. Even at tech giant Google, its upcoming version of Gemini is reportedly not living up to internal expectations. If progress is plateauing, it would call into question a core assumption that Silicon Valley has treated as religion: scaling laws. The idea is that adding more computing power and more data guarantees better models to an infinite degree. But those recent developments suggest they may be more theory than law. The key problem could be that AI companies are running out of data to train models on, hitting what experts call the “data wall.” Instead, they’re turning to synthetic data, or AI-generated data. CNBC’s Deirdre Bosa explores whether AI progress is slowing, and what it means for the industry. Chapters: 0:00-1:03 Introduction 1:03-6:12 Chapter 1 - AI performance anxiety 6:12-10:28 Chapter 2 - Why progress is slowing 10:28-13:25 Chapter 3 - The search for use cases Anchor: Deirdre Bosa Produced by Jasmine Wu, Laura Batchelor, Drew Troast Edited by Lisa Setyon Supervising Producer: Jeniece Pettitt Additional Footage: Getty Images » Subscribe to CNBC: https://cnb.cx/SubscribeCNBC » Subscribe to CNBC TV: https://cnb.cx/SubscribeCNBCtelevision About CNBC: From 'Wall Street' to 'Main Street' to award-winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video, and more. Want to earn more money at work? Take CNBC’s new online course How to Negotiate a Higher Salary. Expert instructors will teach you the skills you need to get a bigger paycheck, including how to prepare and build your confidence, what to do and say, and how to craft a counteroffer: https://cnb.cx/3AVpjia Connect with CNBC News Online Get the latest news: https://www.cnbc.com/ Follow CNBC on LinkedIn: https://cnb.cx/LinkedInCNBC Follow CNBC News on Instagram: https://cnb.cx/InstagramCNBC Follow CNBC News on Facebook: https://cnb.cx/LikeCNBC Follow CNBC on Threads: https://cnb.cx/threads Follow CNBC News on X: https://cnb.cx/FollowCNBC Follow CNBC on WhatsApp: https://cnb.cx/WhatsAppCNBC #CNBC Has AI Already Peaked?
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