I’ve listened to hours upon hours and repeated listening of Alan Watts. I have to mention that this is one of his greatest and most modern era relevant talks I’ve ever heard from him. Thank you for bringing this to the world.
You should listen to the one where he talks about internet on smartphones and online shopping where people can have everything they could possibly want a fingerpress away. . It,s a rare episode on Mark Watts' channel. Not sure which title. But you're 💯% right I was thinking the same thing, sometimes I almost feel like he's communicating through time and sometimes his talks are just as alive today as when they were recorded. I love his speech style in this one, the first I've noticed him argue both sides and overrule himself with the latter real mind of God and the Universe. 😮❤
@@Themultimediaguy no no. He's right. The entire talk, is a ramble of what is already natural to you. Therefore it's all about nonsense. Alan always says, "I have nothing to teach you, nothing to sell you..." I forget the rest, but that guy's right.
I honestly think he’d describe it as similar to nuclear technology: immensely powerful, and terribly dangerous, but ultimately an entirely natural development in human civilization. And then he’d postulate something to the effect of: the question isn’t if it’s “ok”, it’s “are we going to be smart enough to use this without destroying ourselves?”
I can see your vision of this being a cozy little hut as weather whips about outside, maybe a peaceful heavy snowfall would work with that tarp if there was a way to angle it. I know you can concur this challenge 🎉
Regarding machine learning and artificial intelligence, I think that Watts would be particularly impressed by the field of "deep learning". He would certainly appreciate recurrent neural networks (RNNs) and how they use calculus and backpropagation to iteratively conduct gradient descent across the neural layer. This backpropagation across the network leads to the best fitted weights calculations (and thus, the most precise output estimates). Iterative backpropagation and gradient descent allow an RNN to escape simple linear thinking, and instead, they allow the RNN to capture the "wiggliness" of patterns (thank you Geoffrey Hinton and others). Watts would like the ability of RNNs to see wiggles. Moreover, RNNs use a "bias term" that itself acts as a means to observe the unique nature of what is happening in the model (which of course is a non-linear type of approach). Watts would most certainly appreciate long short-term memory (LSTM) models, which are an improved version of traditional RNNs where the model is protected from exploding gradients (i.e. the weights calculations are not vulnerable to data outliers). LSTMs protect the weights by using a "forget gate" that decides what information should be retained in the current round of processing. I also think that Watts would like the fact that humans must train RNNs and make decisions about the bias terms and the "model learning rate". In other words, there is an element of human involvement in training the RNN. It would be interesting to see what Watts would say regarding human bias in the training process. In other areas of deep learning, I suspect that Watts might also appreciate convolutional neural networks (CNNs), because CNNs act like an RNNs that process batches of information within a 2-dimensional moving box (sort of like scanning time across space). Watts would also appreciate transformers because they have the ability to retain highly complex information in memory, which humans often struggle to perform. The last thing that I can speak on is a new approach called recurrent weighted key value (RWKV), which is a blend between LSTMs and transformers. Watts might be excited about RWKV modeling due to it's ability to harness LSTM/RNN weight calculations while also allowing for more complex permutations of information in memory. All of this said, Watts would argue that machine learning and deep learning represent a human desire to control, predict, and streamline. This would likely cause Watts to claim that machine learning technologies (including deep learning and robotics) are extensions of 19th century thinking, in such that humans still seek methods to control their environments (to include space, things, and time). I'd expect Watts to say that machine learning cannot solve many problems because machine learning is derived from the nature of the problem itself ("like fighting fire with fire"). Watts would likely suggest that machine learning is beneficial for investigating ecological problems such as climate change and human population dynamics, but machine learning becomes a "religious-like vice" when it is used to empower mundane technologies (e.g. self-driving cars, military drones, etc). Lastly, I think that Watts would ask a very Watts-like question, "who needs machine learning?"
Watts would have loved McGilchrists work on the different kinds of attention provided by the left and right hemispheres of the brain. The metaphors of the spotlight and the floodlight and of the prickly and the gooey are prescient introspections.
Thanks for your comment! We've revised the settings of all our videos so that they eliminate the middle ads. There should only be a skippable ad at the start of the videos now. As a small thank you, here's a link to some free additional talks from Alan, without commercials altogether: play.alanwatts.org/alan-watts-101
The last part about trust is hilarious. How do we trust we can't be trusted? Just like how are we absolutely sure there is no absolute truth? Watts talks are always great, this is is particularly. We need wisdom always but probably especially now.
Who let this man's voice be use to sell cruise ships 😭. When he was flying higher than any space ship we've apparently sent to space.... only a few touch the stars and hearts of our minds ☯️my Ying
Rationalize or los angelize....lpl he called the state of ca 40 years before it turned to shit lol. Thats what happens when u see the reality of tjings and not the practical
Yeah, it’s wild how some people can see the writing on the wall long before things unfold! Sometimes it seems like seeing reality as it is - rather than what’s practical or convenient - gives us a clearer picture of where things are headed. California definitely has its ups and downs, but maybe the balance between vision and practicality is the
![Ram Dass Full Lecture Compilation: Volume 3 [Black Screen/No Music]](/img/n.gif)
I’ve listened to hours upon hours and repeated listening of Alan Watts. I have to mention that this is one of his greatest and most modern era relevant talks I’ve ever heard from him. Thank you for bringing this to the world.
You should listen to the one where he talks about internet on smartphones and online shopping where people can have everything they could possibly want a fingerpress away. . It,s a rare episode on Mark Watts' channel. Not sure which title. But you're 💯% right I was thinking the same thing, sometimes I almost feel like he's communicating through time and sometimes his talks are just as alive today as when they were recorded. I love his speech style in this one, the first I've noticed him argue both sides and overrule himself with the latter real mind of God and the Universe. 😮❤
When I find it I'll link it here
Seriously? This guy says alot about absolutely nothing!
@@111Benzie Nothing to you perhaps.
@@Themultimediaguy no no. He's right.
The entire talk, is a ramble of what is already natural to you. Therefore it's all about nonsense. Alan always says, "I have nothing to teach you, nothing to sell you..." I forget the rest, but that guy's right.
"You don't understand the basic assumptions of your culture if your own culture is the only culture you know."
Knowing we don’t know and letting go is hard but listening to him talk helps.
Do you watch p*rn ?
Listening to Alan Watts has helped SAVE MY LIFE 💯🫂☯️🦋
Just as relevant today as the day Alan Watts spoke it. In fact, more so now than then. The Truth is of course timeless.
My friends and I read him when we were kids in HS. 50 some years later it's so lovely to listen to him anytime. He's an old friend.❤
He is you and me 😂
@@dongdo7168 we are human... and technically each other, but I'm also not you. And you're not me
@@Chris-el4hd if you listen to more of alan watts you'll find out they are all i
.all is mind
This dude has brown my mind with his perspective about life so many times that i forgot counting them. He has changed how i see things
@@KelvinChuchu17 u mean BLOWN 🫣🤣
@@AngelaM-s4o Oh yes thank you for the correction
So are you the dude or is the dude you?
His bless your Father Alan Watts. He is my favorite philosopher. I listen to him regularly for years now. He’s helped me get through tough times. 🙏🏼
Same 👍🌞
Oh how I wish we could have his insights regarding the oncoming age of Ai.
We do. I can't recall Alan describing any limits on what he discusses as not applying to AI.
I honestly think he’d describe it as similar to nuclear technology: immensely powerful, and terribly dangerous, but ultimately an entirely natural development in human civilization. And then he’d postulate something to the effect of: the question isn’t if it’s “ok”, it’s “are we going to be smart enough to use this without destroying ourselves?”
Great recording! Thanks so much for the upload ❤️🙏
The example of Xerox recognizing machines is crazy. Imagine what he might say knowing LLM's exist now.
Honestly Alan Watts is so honest 🤗🥰
I wish he was still alive he knows nothing and that’s the most coolest thing ever I think
He is,in all of us that listen
I think he's seen it all in his mind.
@@MohammedZadjali Yes? And?
@@dennisw8166 dear Dennis, I will only write this once. If you keep this bitch energy, people will fly away from you.
Check out RAM DAS
I can see your vision of this being a cozy little hut as weather whips about outside, maybe a peaceful heavy snowfall would work with that tarp if there was a way to angle it. I know you can concur this challenge 🎉
Superbly enterprised by ourselves… selves….selves… selves… selves… selves 23:27
Regarding machine learning and artificial intelligence, I think that Watts would be particularly impressed by the field of "deep learning". He would certainly appreciate recurrent neural networks (RNNs) and how they use calculus and backpropagation to iteratively conduct gradient descent across the neural layer. This backpropagation across the network leads to the best fitted weights calculations (and thus, the most precise output estimates). Iterative backpropagation and gradient descent allow an RNN to escape simple linear thinking, and instead, they allow the RNN to capture the "wiggliness" of patterns (thank you Geoffrey Hinton and others). Watts would like the ability of RNNs to see wiggles. Moreover, RNNs use a "bias term" that itself acts as a means to observe the unique nature of what is happening in the model (which of course is a non-linear type of approach). Watts would most certainly appreciate long short-term memory (LSTM) models, which are an improved version of traditional RNNs where the model is protected from exploding gradients (i.e. the weights calculations are not vulnerable to data outliers). LSTMs protect the weights by using a "forget gate" that decides what information should be retained in the current round of processing. I also think that Watts would like the fact that humans must train RNNs and make decisions about the bias terms and the "model learning rate". In other words, there is an element of human involvement in training the RNN. It would be interesting to see what Watts would say regarding human bias in the training process.
In other areas of deep learning, I suspect that Watts might also appreciate convolutional neural networks (CNNs), because CNNs act like an RNNs that process batches of information within a 2-dimensional moving box (sort of like scanning time across space). Watts would also appreciate transformers because they have the ability to retain highly complex information in memory, which humans often struggle to perform. The last thing that I can speak on is a new approach called recurrent weighted key value (RWKV), which is a blend between LSTMs and transformers. Watts might be excited about RWKV modeling due to it's ability to harness LSTM/RNN weight calculations while also allowing for more complex permutations of information in memory.
All of this said, Watts would argue that machine learning and deep learning represent a human desire to control, predict, and streamline. This would likely cause Watts to claim that machine learning technologies (including deep learning and robotics) are extensions of 19th century thinking, in such that humans still seek methods to control their environments (to include space, things, and time). I'd expect Watts to say that machine learning cannot solve many problems because machine learning is derived from the nature of the problem itself ("like fighting fire with fire"). Watts would likely suggest that machine learning is beneficial for investigating ecological problems such as climate change and human population dynamics, but machine learning becomes a "religious-like vice" when it is used to empower mundane technologies (e.g. self-driving cars, military drones, etc). Lastly, I think that Watts would ask a very Watts-like question, "who needs machine learning?"
🕊♾RIPOWER ♾🕊
Thank You For Creating This Magnificent Channel & Videos.
Watts would have loved McGilchrists work on the different kinds of attention provided by the left and right hemispheres of the brain. The metaphors of the spotlight and the floodlight and of the prickly and the gooey are prescient introspections.
Prickley Goo!!🙃
Do advertisers really think we appreciate being interrupted? You're actually causing me to change my mind about doing business with you.
Thanks for your comment! We've revised the settings of all our videos so that they eliminate the middle ads. There should only be a skippable ad at the start of the videos now. As a small thank you, here's a link to some free additional talks from Alan, without commercials altogether: play.alanwatts.org/alan-watts-101
The last part about trust is hilarious. How do we trust we can't be trusted? Just like how are we absolutely sure there is no absolute truth? Watts talks are always great, this is is particularly. We need wisdom always but probably especially now.
Watts Up
Who let this man's voice be use to sell cruise ships 😭. When he was flying higher than any space ship we've apparently sent to space.... only a few touch the stars and hearts of our minds ☯️my Ying
We have faster calculators, but our minds still move at the same speed. Wonder what he'd make of machine learning.
I wish we could hear him talk about today's issues. ❤️ He'd make me feel better about the whole thing.
They are the nuscience. Pressure unwanted.
He was talking about the dawn of AI and now we are facing it.
Selves, selves, selves, selves
On eating menus. On eating menus. On eating menus.
Anyone know what year this was recorded?
Alan! Long Time no See buddy. Talking to the military again? Oh, you cad ;"D
I agree Alan was the best
The thing is No-Thing
And therein is no-thing. Everything is no-thing, when you probe it deeply.
Creation
East meets west
No one guards the guards cause they have armour on
That's a view.
11:48
▶ For COMMERCIAL-FREE Alan Watts talks | play.alanwatts.org/
Rationalize or los angelize....lpl he called the state of ca 40 years before it turned to shit lol. Thats what happens when u see the reality of tjings and not the practical
Yeah, it’s wild how some people can see the writing on the wall long before things unfold! Sometimes it seems like seeing reality as it is - rather than what’s practical or convenient - gives us a clearer picture of where things are headed. California definitely has its ups and downs, but maybe the balance between vision and practicality is the