Elon Musk The remaining time is at most 5 years. During this period, it's still possible to make money through "human labor." But after that, Most jobs that have been paid salaries until now will become automated. The business of earning money will end. The "meaning of paying money to humans" will disappear. This system that's been going on for the last 200 years "If you lend us your time for 40 years, we'll pay you a salary" This will end... Work will end In other words, history's largest-scale "money movement" will take place. So, what's the situation now? 👉Some people have realized it and taken action 👉Many people are "waiting until it's explicitly stated in the news" This "time gap between realizations" is everything. So, what needs to be done in these 3 years? Very Simple "Transform your own time into an asset that machines cannot take away" Specifically, the following • Rare digital assets like Bitcoin • Real assets like land or energy • Computers or infrastructure • Connections with people (network) • The power to produce food or things necessary for life What even is a salary??? "Just for having lent your own time" If the value of that time, becomes cheaper and superior with machines... - That value will suddenly collapse In the end, the only thing left will be this "What you own (assets)" In these 3 years Those who can transform from "a salaried person" to "an asset-owning person" In 2035-2036 will be the "people who saw the future." After that • Salaries won't increase They'll eventually become irrelevant The only thing left is one "Who owns what" The door of opportunity is open right now. But it's closing faster than everyone thinks.

Yann LeCun's (@ylecun ) latest talk at ETH Zürich Scaling LLMs to reach AGI is "impossible" A large language model is trained on about 30 trillion tokens, which is roughly 10^14 bytes of text and would take a person about 400,000 years to read. A 4-year-old child receives about the same amount of data, 10^14 bytes, through vision alone in about 1 year and 10 months. In his view, intelligence is the ability to learn new tasks quickly or perform them without prior training, as a teenager learns to drive in about 20 hours. Scaling increases stored knowledge, but it does not produce this ability to adapt. ---- From "Perfology Clips" YouTube channel, (link in comment)

most robot demos have a catch. the robot was trained for that exact task. the real test is what happens when you give it something new. that’s where Natura-1 from @naturewill gets interesting. it learned from a million hours of egocentric data. then it was put on tasks held out from post-training. unfamiliar objects. new environments. no extra training. no new demonstrations. it reuses skills it already has and combines them. that’s what general-purpose robots actually need.