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“AI cannot crack Bitcoin”, says Elon Musk

“AI cannot crack Bitcoin”, says Elon Musk

In a recent interview with Bloomberg, the billionaire entrepreneur and founder of Tesla and SpaceX, Elon Musk, shared his views on the future of artificial intelligence and cryptocurrency. He said that he does not believe that AI will be able to break the encryption of bitcoin, the most popular and valuable digital currency in the world.

Bitcoin is based on a decentralized network of computers that use a complex mathematical algorithm to verify transactions and create new coins. The security of bitcoin relies on the assumption that no one can solve the algorithm faster than the network, which would allow them to take control of the system and manipulate it.

Musk, who is known for his visionary and sometimes controversial opinions on technology, said that he thinks that AI is still far from reaching the level of intelligence and creativity that would be required to crack bitcoin. He said that AI is good at optimizing existing solutions, but not at inventing new ones.

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There are several reasons why AI is good at optimization but not at innovation. One reason is that optimization is often well-defined and measurable, while innovation is often vague and subjective. For example, it is easy to define and measure the fuel efficiency of a car engine, but it is hard to define and measure the artistic value of a musical genre.

Another reason is that optimization is often incremental and convergent, while innovation is often radical and divergent. For example, optimizing a car engine involves making small and gradual improvements to an existing design, while inventing a new musical genre involves making big and sudden changes to an existing style.

A third reason is that optimization is often based on exploitation, while innovation is often based on exploration. For example, optimizing a chess strategy involves exploiting the known rules and patterns of the game, while inventing a new scientific theory involves exploring the unknown phenomena and principles of nature.

The fact that AI is good at optimization but not at innovation has important implications for the future of creativity and problem-solving. On one hand, it means that AI can help us achieve higher levels of efficiency and performance in many domains and tasks. On the other hand, it means that AI cannot replace human creativity and ingenuity in generating new ideas and solutions.

Therefore, the best way to leverage the power of AI is to combine it with human intelligence in a complementary and collaborative way. For example, we can use AI to optimize the existing solutions that we have, while we use human intelligence to invent new solutions that we need. Or we can use AI to explore the possible solutions that we can generate, while we use human intelligence to evaluate the value and impact of those solutions. By doing so, we can create a synergy between AI and human intelligence that can enhance our collective creativity and problem-solving capabilities.

Musk also said that he is not worried about the potential threat of AI to humanity, as long as it is aligned with human values and goals. He said that he supports the development of friendly and beneficial AI, and that he is involved in several initiatives to ensure that AI is used for good.

Musk, who has been a vocal advocate of cryptocurrency and has invested in bitcoin and dogecoin, said that he sees digital currency as a way to empower people and democratize finance. He said that he hopes that cryptocurrency will become more widely adopted and accepted as a form of payment, especially in developing countries where access to traditional banking is limited.

He also said that he is optimistic about the future of humanity and technology, and that he believes that we are on the verge of a new era of innovation and discovery. He said that he is working on several projects that aim to improve the quality of life and expand the horizons of human civilization, such as colonizing Mars, developing sustainable energy sources, and creating neural interfaces.

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