By default, the get-rich-quick folks go into what's hot. And you wouldn't want them to be founding AI startups promising the Singularity in 5 years, or biotech startups promising 100s of blood test results from a single finger prick. The fallout would be devastating.
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Well-isolated tech grifter ecosystems work as a magnet that shields productive areas of research and product development from conmen, their deleterious mentality, and their long-term impact on public confidence. If the 3rd AI winter never arrives, it's thanks to them.
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So if an ambitious young person asks me whether they should go into crypto/NFTs or into AI, I will definitely tell them to go for crypto. (It used to happen a lot around 2017, not so much nowadays, which is great: AI is no longer "hot" in this way.)
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(If you're hesitating between these two options, then the right option for you is not AI.)
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Actually i think different. Why would Professors (Avalanche, Chainlink), Former Google Workers(Near), Former Qualcomm Engineers(Solana), Amazon Managers (Coinbase, Ripple), Former Treasure Minister (Ripple), Finance Professors (Ripple) or Turing Award Winner(Algorand) participate
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You have encountered probably dozens of bureaucracy issues regarding certification, legal papers or peer reviews. Easiest example: When you give your friends or a NGO charity for their children, you would never retrace your sum. Blockchain make all transaction visible.
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I am glad to see so many smart people so passionate about improving NGO donation traceability. Heartwarming.
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I agree, that Bitcoin is by far by: price stability, energy consumption or Gas Fees not useable. Countless other reason. However there are different sophisticated protocols that provide an additional payment possibility. 1. Cash 2. Visa 3. Blockchain Traceability is the key.
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Also think about decentralized supercomputers for academian. You can actually put your mobilephone either for helping solving an algorithm or not. View it in a global scale. In contrast to AWS or Azure, the validation node provide by far a decentralized training.
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