🆒 World-renowned leader in quantum computing and IBM Vice President Dario Gil recently shared in an
interview with The New Yorker how generative AI is changing the world.
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Who is Dario Gil?⚫️Director of IBM Research, responsible for the company's scientific developments, including quantum computing and AI.
⚫️Manages an annual budget of $6.9 billion.
⚫️Oversees a team of over 3,000 researchers, including 6 Nobel laureates.
⚫️Under his leadership, IBM created the first programmable quantum computers and made them accessible via the cloud.
Interesting insights from the interview:🔼 A Turning Point in History. We're at a significant inflection point, and it feels like the equivalent of the first browsers when they appear and people realize the potential of the Internet. In the past nine months, the world has experienced something similar.
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On Future Exams. With the advent of pocket calculators, professors changed exams by removing calculation tasks. The same will happen with AI. Automatable tasks will disappear, leaving deeper and more creative questions. Written exams without computers may return.
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On Understanding the World with AI. We will use a hybrid way of understanding the world with AI. AI will provide answers, often without explanations. The task of scientists in the future will be to find these explanations.
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A New Paradigm for the World. AI will become more accessible to many, increasing people's efficiency. However, there will be fewer capable of creating AI. This could increase inequality between countries and companies, between the rich and the poor. It's important not only to use AI but also to be able to be an AI value creator.
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Should Actors be Protected from AI? Yes, they should. Consider
voice cloning. Producers can film an actor for five minutes and then generate hours of content, paying only for a short session. This reduces the income of actors who are paid by the hour.
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What Problems Hinder Companies from Implementing AI?▶
Business processes. Implementing AI requires global changes in workflows and relationships between people.
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Data. Companies often do not understand how to process and create data for AI models properly.
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Resources. Effective use of AI requires large teams and significant financial investments in computing.
More stories:🤖
Yann LeCun, Meta — on AI Dominance, OpenAI's Secrecy, and Superintelligence#ibm
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