Cancer arises from a large number of accumulations of mutations in cells. In the presence of mutations in genes that control cell growth, cells can continue to divide and form a tumor.
Normal cells become malignant due to mutations. Changes in genes accumulate gradually, it is a long, complex process. When such changes occur in cells, the body tries to get rid of them. Various mechanisms of cell death are activated, and antitumor immunity is activated. But malignant cells skillfully cope with these obstacles by developing masking mechanisms to avoid immune aggression.

A cancerous tumor does not have a complete form and, in addition to the main body, has many thin processes-metastases that cannot be removed along with the main tumor, and the remaining metastases in the body grow back into a malignant tumor and so on until the person dies.
Malignant cells – how do they differ from normal ones?
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Judging by the spectral analysis of some celestial bodies - nickel and iron
Class C asteroids. Color: grayish. They consist of carbon and a number of other substances, including silicon. This is the most common type, which includes about 75% of all asteroids.Asteroids of the S class. Color: greenish or reddish. They consist of silicon, nickel and iron. The second most common type includes about 17% of all asteroids.Asteroids of the M class. Color: reddish. They consist of nickel and iron.

It is planned to first mine metals on asteroids, and then start mining on planets
Storerooms of metals on asteroids: how do they want to master mining in space
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Yes, it makes sense to become a programmer in the age of AI, but the role of a programmer is changing.
Artificial intelligence really automates some of the work: writing simple code, finding bugs, and generating templates. Because of this, it may seem that the profession is dying. But in practice, something else happens: Demand does not disappear, but grows. Businesses need more and more digital solutions, which means people who understand what to do and why, and not just write code. AI is a tool, not a substitute. He speeds up the work, but does not understand the context, product goals, and business logic as well as a human. The complexity of the tasks increases. The more automation there is, the higher the value of specialists who are able to design systems, make decisions, and work with architecture. The entry threshold is lower, the competition is higher. It's easier to get started, but it's harder to stand out. In fact, a programmer becomes not a person who writes code, but an engineer who solves problems using code and AI.

Yes, it's worth going into programming, but with the expectation of developing thinking, not just coding skills. We need to learn how to work with AI, not compete with it. Skills are more appreciated: systems thinking, product understanding, and communication. Simple tasks will be automated, while complex tasks will be left to people.
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Hydrogen
Despite all the hype around electric cars, they will not be able to replace cars with an internal combustion engine.

Electric cars are an innovation of 1832, not something breakthrough
You will be very surprised! But the first electric cars appeared more than 100 years ago. Look what they were like
Electric cars — the future or deception?
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