I've been a self-taught guy since I was 9 years old. I started my journey learning English on my own. I'm Brazilian, and learning English in public school wasn't that good, so I decided to take it on my terms. I'm now a coder, besides my studies in electronics (both analog and digital electronics). I've also developed a love for learning languages. I now speak three languages: Portuguese, English, and Japanese. That has also led me to have a big fascination with the brain and its inner workings. Miguel, you've always been a big inspiration to me. Long before Elon started his NeuraLink project, capturing electrical activities in the brain, you were way ahead in your studies and experiments doing that. The brain is really a fascinating organ, or machine, I should say. Our brains will go backward if we start to depend too much on technology for everything and don't challenge our brains too much. That could create a huge problem for the evolution of the brain. Instead of learning a second or third language, for example, one uses machine translation. I'm a strong believer that a brain will only evolve if it is challenged. "Use it or lose it." Thank you for uploading, FitMind.

Nicolelis’ amazing!! 💛

Simplesmente fantástico❤

Excellent Dr Nicolelis! You are the boss 😊

Ameiiiiii. The Future is ours...

Great interview!!!!

Fascinating man

Perfetto ❤

Wonderful interview 🎉

Darwin is everything

Monkeys and natural behaviours

Actually, while I do like most of the interview and insight, a number of responses around the future Machine Intelligence (IMHO) are just wrong. First, I would agree that the simplistic deep neural networks that we have now will not achieve true AGI. Just starting to create architectures that mimic brain responses is leading us to some remarkable results (GPT3, DALLE, etc), but the research that will get us much, much closer is simulating (with extreme precision) the true complex nature of the brain (including the analog responses and multiple morphologies of neurons). Creating multiple neural networks with this level of realism, connecting them, and then refining with results from actual brain patch clamps will provide a level of simulation and response that will simply be uncanny and almost magical. To say that this won't happen in 15 to 20 years time is naive (very naive in the case of a researcher that can understand the level of progress that is being made).