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한국어(KO) Y Combinator (@ycombinator) Google DeepMind CEO 데미스 허사비스가 빠르게 변하는 환경에서 평생 투자할 문제를 고를 때, 피상적 문제보다 어렵고 깊은 문제를 택하는 것이 본질적으로 더 어렵지만은 않다고 조언했다. AI 연구·창업에서 장기적 문제 선택과

Demis Hassabis advises on selecting deep vs. superficial problems in AI

By PulseAugur Editorial · [1 sources] ·

Demis Hassabis, CEO of Google DeepMind, advised that when choosing long-term problems to invest in, selecting difficult and deep issues is not inherently harder than choosing superficial ones. This perspective emphasizes the importance of long-term problem selection and impact in AI research and entrepreneurship. AI

IMPACT Offers a perspective on strategic problem selection for long-term impact in AI research and ventures.

RANK_REASON Commentary from a prominent AI leader on problem selection in research and entrepreneurship.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Demis Hassabis advises on selecting deep vs. superficial problems in AI

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Commentary from a prominent AI leader on problem selection in research and entrepreneurship.
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 한국어(KO) · [email protected] ·

    Y Combinator (@ycombinator) Google DeepMind CEO Demis Hassabis advised that when choosing a problem to invest in for life in a rapidly changing environment, it is not inherently more difficult to choose a difficult and deep problem than a superficial one. Long-term problem selection in AI research and entrepreneurship

    Y Combinator (@ycombinator) Google DeepMind CEO 데미스 허사비스가 빠르게 변하는 환경에서 평생 투자할 문제를 고를 때, 피상적 문제보다 어렵고 깊은 문제를 택하는 것이 본질적으로 더 어렵지만은 않다고 조언했다. AI 연구·창업에서 장기적 문제 선택과 임팩트에 대한 관점이다. https:// x.com/ycombinator/status/21112 00518856982692 # ai # research # leadership # deepmind

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