I said the same to my wife, he's been doing the pod so long with Neil, that he's not just the lay comic relief anymore, he's got background knowledge and is asking good scientific questions.
He's followed the natural trajectory of what was hoped for in this show-- he was a good sport he kept things balanced and energized while we were both laypeople doing our laylistening. Now though, we know what we're talking about well enough, even though we're not scientists, to listen thoughtfully and ask informed and meaningful questions. The whole point of the show is to help us get there. It's absolutely right for Chuck to be where he's at now, he's still showing us how to show up. 🩵✌️
First the response to Terrence Howard, then the conversation with Richard Dawkins, then the video on Dyson Spheres. And now biological computers. Startalk has been on a roll recently!
I think it's a really exciting time to be alive. We won't see the full realizations of many of these things in our lifetimes, but we're seeing the seeds of entirely new theoretical fields/specializations while the engineering and experimental work is also going gangbusters.
I love how Neil tends to have this bored look when he listens to somebody but then he comes back with a question or comment that shows that he was actually listening very carefully and is maybe even excited about what was said. 😄
Chuck has been on so many star-talks he’s second hand intelligent. Dude keeps right up with them and interacts with actual questions pertaining to the topic and not non sequitur. Good for you brother.
Instead of Pong, these neurons in a dish need to be taught how to provide Neil with coffee. He looked sleepy this episode. I almost feel like Chuck was not only more interested, but asking the leading and intelligent questions I would expect from Neil. Not to say Neil wasn't interested, but Chuck really lead the discussion with this episode. He wasn't just the funny guy. I think Chuck spoke more than Neil and Gary combined. Chuck is slowly earning an honorary doctorate with each StarTalk.
At this point Chuck is asking some of the best questions. I believe we can find some examples of real-world knowledge that would hamper the computational power. One example is false pattern recognition or "corelation doesn't mean cause" people jump to conclusions based off anecdotal evidence while a computer does not.
False pattern recognition isn't restricted to correlation and causation. It's much more general than that. False pattern recognition is anything where someone sees a pattern where there isn't one (which IG you could even argue the correlation/causation thing doesn't come under since there *is* a pattern there, the error is in assuming that it's there because of a causal link). It's also important to note that even if you do demonstrate a causal link between two things, you may still be wrong about which of the two is causing the other, or there may even be a third thing causing both.
We should all be so greatfull for what startalk do, bringing the ACTUAL information from the ACTUAL people working in the field, instead of the regurgitated sensationalism that the popular midia feed us.. Thank you so much for bringing thuth 🙏
He needed to carry it because Neil both hates bio and needed a cup of coffee. He’s very good at getting out of the way when he knows the brains are talking. Lol when Neil’s brain isn’t working at full capacity or isn’t engaged? Yeah… my dude shines.
As an Australian, the slight pause Neill takes to pronounce Melbourne is so excessively respectful and sincere. I don't even live in Melbourne but it is appreciated ❤👌😁
at first gary didnt seem like a good fit for a science show but he grows on you, he does more research on a topic than either neil or chuck and prepares questions with bulletpoints to ask, he plays a good offset to keep the show on track than going completely off script
Found the source of the "neurons that fire together" quote! (I love checking sources.) It's about what's referred to as Hebbian learning. Carla Shatz was paraphrasing Donald Hebb for the popular press, sometime around 1949. What Hebb actually wrote was that neurons with a repeatedly reinforced causal link maintain a causal link; that is, if one neuron is repeatedly fired by another neuron, they are more likely to remain connected.
@@christopherweidensee6133 No, it's more akin to soil seepage patterns and NTC thermistors. The pathway is already there, so no need to try to establish a new one. Don't go chasing quantum waterfalls; stick to the classical mechanics that you're used to until they don't adequately describe your observations.
Hi Neil, I propose the idea that behind every blackhole is a big bang. Similar to a raindrop in the pool of water. Could you ask Ms. Janna to discuss upon this topic. I highly look forward to every episode.
Mr Tyson, it was looking like you were fighting sleep like a youngster trying to stay up to watch TV late. Was it the time difference that had you up at a crazy hour? Hope you were feeling ok.
super impressed by chuck in this interview. Hes way smarter then i gave him credit for, whats his background because it seems they only ever announce him as a comedian?
im 27 right now, since i was 11 and found out what computers where, i had always thought we were already biological computers, or computers as man made brains from non bio organic parts, but children are never looked at seriously, it just makes since everything we design can be reflected by something already in nature.
The phrase "If I can't build it, then I don't understand it" is often attributed to Richard Feynman, a renowned theoretical physicist known for his work in quantum mechanics and particle physics. Feynman emphasized the importance of deep understanding and hands-on problem-solving, which aligns with the sentiment of the quote.
This determinism is in the one case what Bergson calls "radical finalism," and in the other "radical mechanism." “The willow submits to the wind and prospers until one day it is many willows - a wall against the wind.” Frank Herbert
This is a wonderful episode. All of the episodes are great. As a person with epilepsy, I wonder if it will be possible that this research can lead to better treatment of epilepsy or even a cure. I would LOVE to stop taking these meds already. Alzheimers also comes to mind. I really hope this can eventually help many people in the near future. In my lifetime please. Hurry up!
The list of technological concerns I conceptualize from this one episode is so long I can't even list enough them in a way to be productive. Top of the list has to be neurons are not sandboxed or isolated totally. Thousands of years worth of lore. Are your CL1's within a faraday cage from each other? Is anyone acknowledging the concerns of invasive interaction solely based on genetic matching via EMF broadcasting of neurological patterns. The list of concerns is not a denial of potential but a serious question of how to progress without ignoring safety for all, those who can speak up and those who can't. Dignity for both life and energy has been on my mind a great amount.
Love to all of you! But yes Neil, I hope you are doing alright. You do so much for all of us, and help us learn better! And would make me happy to know you are well and rested!! We love you! 🫶
Great video! I did quite a bit of strength training in my mid 30s. I did so much in fact that I would wake up with trigger finger in all of my fingers and I was in constant pain. I was in the best shape of my life in all other aspects though. The pandemic hit and my job is now 100% work from home. I moved and began a new relationship and never went back to strength training. I think the combination of the pain and time commitment has discouraged me from starting again. I have picked up cycling (mtb) in that time though. I’m turning 40 this year and am realizing I need to do something. Thanks for the motivation, I think I’ll get my bands out of the closet and get after it.
As a neural network developer, I love exploring how technology can bridge the gap between hardware and biology in fascinating ways. Let's break it down: think of the human eye. It's like a super-powered information gateway, with thousands of light rays hitting the back of the eye, triggering neurons to fire and organize with just one action-opening our eyes. Now, imagine we could create a bionic eye that helps cultivate brain cells. This could mean transferring massive amounts of information into these "mini-brains" as they organize themselves. And what if we added a bionic ear to the mix, feeding it music and speech? After all, plants seem to thrive on music, so why not brains? The real magic would be teaching these systems to multitask, processing all this sensory input simultaneously. It's a wild, futuristic idea, but it's fun to imagine the possibilities of connecting technology with our biological systems in new ways!
This feels verry much like a thing we think is totally fine and ethical until we find out that it isn't but we learn so much because of it that it becomes a bigger historical event than we intend.
Intelligent life is the coming together of two, or more senses. The more sense you're gifted with at birth, the higher your ability to interpret your surrounding environment with, which enables us to put the dots together and gifts us with the ability to learn on our own. Focus on gifting your project as many at birth as you possibly can. I think your findings will amaze you. Start off by rewarding it for learning letters, later words, and finally by putting a sentence together. Give it a way to master what it wants from us. Learn to communicate with it. I don't know if you'll learn anything, or if this new life form will be any smarter than we are, but there's only one way to find out.
There’s a lot of “we don’t have the answer” Would you pursue something you have no idea of what it’ll become? Especially if you’re a “trained professional” There’s an obvious barrier they all have on us. We have to stop depending on professionals and start looking for answers ourselves, no matter what it takes. 🗺️ Based on my own studies, we need to team up and try our best to migrate to the North Pole. Based on experience me and my team have discovered that earth in the North Pole isn’t even close to how it looks in maps! Moral of the story: Stop focusing and merely on “professionals” and make yourself a team to make sure you find out if even 10% of what they say it’s true. YOU’D BE SURPRISED
He’s basically been on a non stop podcast tour for years. I’m not even sure how he works his normal job. I’d be tired too. Or yes chuck converted him 💨 😂
The computers would need the equivalent to a central nervous system, to have the ability to understand sensation. Human's have 5 senses. That's a good place to start adding in were they're insufficient. I think you'll get better & much quicker results.
I like how niel is half asleep during the whole thing like he couldn’t care less he looks extremely bored but always has good questions and insight like he’s heard this 36 times before.
Is Neil drugged tf up or hasn’t slept in 5 days cuz looks like he took a pain pill about a hour ago and his eyelids are as heavy as a cargo ship. Eyes slowly closed, slowly opened 💉 😴
One thing people always worry about is the aligned interests of Ai and humans and how it may lead to conflict and I’ve always considered that we need a similar feedback system. We have emotions and physical pain to regulate our behaviour, the idea of entropy to train the cells is interesting and could possibly allow a better technology in future where neurons are trained to be intelligent and apply silicon to process better and faster.
Do you consider that the stimulation you give the cells might invoke a primitive emotional response? Say if the paddle misses the ball, then you stimulate it with what you consider a nominal electric shock. Would it introduce a Pavlov type training in attempting to avoid pain?
What a coincidence, I used neuromorphic engineering as a topic for my title proposal just 2 weeks ago. Didnt really lead to anything big though as with all small colleges, i didnt even get the chance to defend my title due to the lack of time and my prof just decided to read and grade it. Its a really interesting topic, while I focus mainly on the software side of computers (despite being a computer engineering student), i find hardware topics like physical artificial neurons and neuromorphic engineering very interesting. Just for some context, Neuromorphic Architectures are based around neural networks designed to model the human brain instead of "emulating" artificial intelligence using software and GPUs (atleast from i researched and understand, this is the basic concept). Right now, we lack a turing complete model of computation for neuromorphic architectures thus hindering further research into the field (again, from what i can understand, take it with a grain of salt). Sources: Carnegie Mellon University research paper about Neuromorphic Computing and ResearchGate
Consider that every single species before us lived and existed up to this point for us to exist. Surely we're just some next step in a grand lineage of beings.
This topic has me thinking about all kinds of things: Robo Cop (the horror), servators from warhammer 40k, bio nueral gel packs from star trek voyager, the last colony, and even the bobiverse.
I'm so proud to be an Australian right now :) This work is amazing! Can you imagine using a biological hub for amputees? They could get fully functioning fingers/feet/limbs again
I love Neil. I think he looks relaxed...because he's not in a studio with 15 mics in his face in front of a live audience. Or, I'm wrong. Either way, Im a dedicated Neil Degrasse Tyson enthusiast.
Hi Professor Neil G.Tyson I have seen an episode of Star Talk about How An Ai Can Win Over The Bank's Ai and my theory is that with such a contact the time limit is reduced. 1- In such an opration, depends on how Ai is programmed in other words language has been used. 2- Ai from behind, can't tell the difference between human and makin. 3- And speed of Ai is decisive. 4- as long as the time is reduced to zero and at which smart meeting the two Ai work from each side to find the correct answer. finally wins the contest for ( V ) and loses this contest for (T ). 5- And in such a situation, Ai from the Bank's side turns off the seal and use of its rest system. to start a new time. 6- Then we are back to this topic of engineering and programming, which is very crucial in such a case.
Awesome, incredible things. We are learning so many things at the same time. Things are being learned about the sun, black holes, and other things, which I am assuming are standing still compared to what a quantum computer can do. Things that have taken years to solve will be solvable in an instant. What that means to me is that we can find answers to problems that would take millions of years to solve with clinical computers and without computers would take even longer, meaning that answers were so distant yesterday that taking millions of years to solve could be solved in our lifetime and that is exciting. However, these men have questions and curiosity that allow them to construct questions that could bring phenomenal results. All computers must be asked the right things to get the results that you want. These guys are discussing many things that would be fun to put into a quantum computer of the future that has wholly matured, possessing identical abilities as our brain.
