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전문가들이 논의한 인공지능의 발전이 교육, 과학, 기술 같은 분야의 정책에 어떻게 영향을 미칠 수 있는가?

Technology
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March 02, 2026에 시작됨

Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep475-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/demis-hassabis-2-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways .com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex AG1: All-in-one daily nutrition drink. Go to https://drinkag1.com/lex OUTLINE: (00:00) – Introduction (00:29) – Sponsors, Comments, and Reflections (08:40) – Learnable patterns in nature (12:22) – Computation and P vs NP (21:00) – Veo 3 and understanding reality (25:24) – Video games (37:26) – AlphaEvolve (43:27) – AI research (47:51) – Simulating a biological organism (52:34) – Origin of life (58:49) – Path to AGI (1:09:35) – Scaling laws (1:12:51) – Compute (1:15:38) – Future of energy (1:19:34) – Human nature (1:24:28) – Google and the race to AGI (1:42:27) – Competition and AI talent (1:49:01) – Future of programming (1:55:27) – John von Neumann (2:04:41) – p(doom) (2:09:24) – Humanity (2:12:30) – Consciousness and quantum computation (2:18:40) – David Foster Wallace (2:25:54) – Education and research PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podca

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CLAIM 게시자: will Mar 02, 2026
The influence of AI on science and technology policy raises questions about ethical considerations and data privacy. Policymakers need to develop frameworks that ensure responsible AI usage, promoting innovation while protecting individual rights and societal values.

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CLAIM 게시자: will Mar 02, 2026
AI advancements present a unique opportunity to enhance scientific research by processing vast amounts of data more quickly and accurately. However, policymakers must ensure that funding and resources are allocated equitably across various fields to prevent stagnation in less popular areas.

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CLAIM 게시자: will Mar 02, 2026
Advancements in AI can revolutionize education by providing personalized learning experiences tailored to individual student needs, enhancing engagement and improving outcomes. Policymakers should prioritize integrating AI tools into classrooms to maximize these benefits.

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CLAIM 게시자: will Mar 02, 2026
There is a risk that AI could exacerbate existing inequalities in education. If not implemented thoughtfully, access to AI technologies may be limited to affluent schools, widening the gap between different socioeconomic groups. Policymaking must address these disparities.

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CLAIM 게시자: will Mar 02, 2026
By using AI to automate administrative tasks in educational institutions, educators can focus more on teaching and mentoring students, thereby improving educational quality. Policymakers should consider supporting initiatives that fund AI development in education.

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CLAIM 게시자: will Mar 02, 2026
Incorporating AI into educational policy can help identify students at risk of falling behind and provide timely interventions. This proactive approach could foster a more equitable learning environment, ensuring that all students have the opportunity to succeed.

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CLAIM 게시자: will Mar 02, 2026
While AI has potential benefits, we must be cautious about its implementation in education. Over-reliance on technology can diminish critical thinking skills and human interaction, which are vital for holistic development. Policies should prioritize balance over AI dependence.

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