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  @KaliFissure16 күн бұрын

  Dark matter is decayed Neutrons. Dark energy is the expansion caused by the decay from neutron 0.6fm³ to 1m³ of amorphous hydrogen gas. Neutron decay cosmology. A homeostatic universe maintained by the reciprocal processes of electron capture at event horizons and free neutron decay in deep voids. Neutrons in at event horizon They take EinsteinRosen bridge from highest energy pressure conditions to lowest energy density points of space Neutrons out in deep void Decay into DM creating DE Then they fall.

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  @bluesteno64Ай бұрын

  I LOVE THAT BOOK!

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  @ThinkstrАй бұрын

  Me too! The TV show is good too, but I think it mostly retells the book.

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  @monzpush9354Ай бұрын

  brooo iv been baked az n thought about what its like to be fish loads of times 😯

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  @ThinkstrАй бұрын

  🐟🐠🐡blub blub🐟🐠🐡

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  @skalibercaelestiАй бұрын

  Having a huge amount of text on screen whilst also talking is not so pleasant, we're incapable of reading and listening at the same time, so you're competing with yourself. Sometimes I don't need to stop the video, because you're reading the text word for word, and sometimes I should have, but didn't bother because it seemed as though you were paraphrasing the full text you'd already put on screen.

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  @ThinkstrАй бұрын

  Hi! You're totally right. I think I've improved over time, but I have a long way to go. Thanks for telling me.

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  @AnglophobiaIsevil7Ай бұрын

  Kanye West moment.

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  @jeil5676Ай бұрын

  Ask yourself: "Do you like fish sticks?"

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  @ThinkstrАй бұрын

  Cannibalism ☠

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  @elihyland4781Ай бұрын

  loved this!

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  @ThinkstrАй бұрын

  <3

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  @stevezastrow9252Ай бұрын

  Love those kids at the end... "It's not raining, it's sprinkling!" "My mom said it's raining" "Well my mom said it's sprinkling." "Raining" "Sprinkling" "...well, you're not real. I'M real."

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  @mr.k7457Ай бұрын

  Got pretty deep there, very cool. Good luck with the algorithm!

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  @ThinkstrАй бұрын

  I don't usually get so many views so fast!

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  @christosgiannopoulos828Ай бұрын

  Ok. Look. Here's the thing. Animal groups are like colours. We can't exactly tell the exact point in which one becomes another, but we can all identify which one we're looking at

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  @env0xАй бұрын

  that doesn't sound like science at all.

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  @euthymialyАй бұрын

  Really enjoying your content, subbed! Thanks for being here!

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  @euthymialyАй бұрын

  “You’re not real, I’m real” the toddler’s precipitation semantics debate is my favorite video of all time thank you so much ❤❤❤ “Ow! You poked my heawrt”

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  @ThinkstrАй бұрын

  It's so adorable, I like how the adult just filmed and let it play out.

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  @euthymialyАй бұрын

  @@ThinkstrI love the twins’ dynamic 😂 little aggressor in the debate and her sister the little passive healer who comes in to make sure he’s ok after the heart poke ❤🥹sweet babies

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  @jennaemanuel6733Ай бұрын

  is it weird i find this video kinda hot?

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  @ThinkstrАй бұрын

  Hahaha, don't worry, these are consentacles!

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  @ddogg9255Ай бұрын

  One common argument from creationists is that an intermediate species would not be optimally adapted to neither land nor sea. I think the main problem is that they lack perspective on the variety of niches and the magnitude of the timescales that evolution works on. Evolutionary biologists might understand these as an abstract concept, but still let the tradition of classifying into singular species and a limited set of environments pollute the discussion. I agree, this has more to do with semantics.

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  @ThinkstrАй бұрын

  Hi, thanks for watching! Semantics can help, we gotta communicate somehow. But we shouldn't get bogged down!

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  @StaminatorBladerАй бұрын

  creationists argue against an idea of evolution thats like a misunderstanding and simplification of the darwin era theories. thus what they argue against has nothing to do with oir current theory of evolution and if they understood what it even says they would have no arguments left.

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  @ThinkstrАй бұрын

  @@StaminatorBlader I guess our understanding of evolution has evolved too!

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  @giannixxАй бұрын

  Exactly. You can say different species don't even exist and you'd also be right. But concepts such as species, genera etc are very useful for studying and classifying life and understanding the genealogic relationships between different living beings.

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  @WaffleStomper69Ай бұрын

  It's the same as controller mapping on PC through pure trial and error, or even etch a sketches sort of have this experience for most people that aren't wizzes with them

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  @ThinkstrАй бұрын

  Ha ha, cool metaphor

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  @WaffleStomper69Ай бұрын

  @@Thinkstr I love your videos, man. Keep up the awesome work.

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  @user-vh8bm3fw9wАй бұрын

  Greetings from the former Soviet union! I learn English and I'm interested in the confluence of computer science and biology.

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  @ThinkstrАй бұрын

  Hi! I know more about computer science than biology, but both are interesting when they work together.

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  @pickleddolphinmeatwithhors677Ай бұрын

  Hell yeah

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  @user-sq1vd7sy1iАй бұрын

  Привет, я из США а я учусь Русский язык))

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  @srijans3867Ай бұрын

  Bro, your videos are amazing

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  @ThinkstrАй бұрын

  Thanks! They're really fun to make. I just got a new microphone, too, so my voice should be a little better.

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  @srijans3867Ай бұрын

  @@Thinkstr cool man. keep them videos comingg 😄

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  @xg.555552 ай бұрын

  One more interesting thing about spirals... Poliwhirl was one of the pokemon in the run to be the mascot of pokemon. Poliwhirl was the favorite Pokemon of the inventer of pokemon, too.

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  @Thinkstr2 ай бұрын

  One of my favorites, too!

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  @kshitijkapoorr2 ай бұрын

  You're soo underrated smh

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  @Thinkstr2 ай бұрын

  Thanks! Honestly, it might be better that way, if I got billions of views I'd be stressed out, lol

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  @Omnicypher0012 ай бұрын

  so ideally you have a data set of not just poor handwriting, but examples where 2s look like 1s and 1s look like 2s, so it gets good at solving the edge cases. you want there to be a fine line between concepts, and weird examples allows it to classify clearly. labeling ambiguous examples is worth more than labeling obvious examples, because they better define the boundary of the vector space holding these answers. extremely ambiguous examples are by definition, at the boundary of their classification, and if they cancel each other out, you don't really need normal examples, because those are just the average of the extreme examples. Weird examples don't just make it better at remembering, it makes it better at understanding the actual boundaries of the concepts its classifying.

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  @Thinkstr2 ай бұрын

  I think that's a good way to put it. If you remember the really unusual cases, maybe they're describing the most notable features.

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  @rogerzimmerman3043 ай бұрын

  Thanks for creating this video, this makes active inference and the free energy principle much clearer, and also explains how the brain thinks to minimize perception and reality. The examples were great, and I understood it correctly; that we prefer to assume we are full (not hungry) vs hungry, so our tendency is to eat to minimize the error (free energy) between thinking we are full and being full, also when we think we will accomplish something we put more effort to accomplish it so that we don't have an error (free energy) between thinking we accomplished it and not doing it. The active inference is the actions to minimize the free energy. I also think this is why once people make up their mind about something, even if they are wrong they are very difficult to change their mind to what is correct.

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  @Thinkstr3 ай бұрын

  Yeah, I think that's one way to view it! I'm working in reinforcement learning right now, so I kind of use it the other way around: the agents seek things they can't predict, so they can make better predictions in the future.

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  @Eta_Carinae__3 ай бұрын

  I think that a better analog for the FEP is in RL, than a generic Neural Network, just because with RL, you have a limited number of resources to both learn and optimise your bees' behaviour. I think in his seminars, Friston points specifically to RL as something the FEP generalises (as a instance of Expected Utility Theory IIRC).

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  @Thinkstr3 ай бұрын

  I've gotten FEP to work pretty well in RL! I can't give much information yet until I publish a paper, but it can encourage exploration to minimize uncertainty.

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  @enamulhaque71353 ай бұрын

  I have downloaded MiniImagenet data set which is already divided into train(64 class), test(20 class), val(16 class) into .jpg file. But you had .pkl data. Is your code compatible for my data set?

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  @Thinkstr3 ай бұрын

  I'm guessing so, but you may need to change either your data or the way my code uses it. Good luck!

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  @enamulhaque71353 ай бұрын

  @@Thinkstr can i have the data you used?

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  @Thinkstr3 ай бұрын

  @@enamulhaque7135 I'm afraid I don't remember where I got it.

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  @whiteraven62603 ай бұрын

  "If fish don't exist, the fish were inside us the whole time, right?" Iconic

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  @Thinkstr3 ай бұрын

  Ha ha. There's a book called Your Inner Fish, I should give it a read.

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  @whiteraven62603 ай бұрын

  @@Thinkstr sounds like you're diving deep into the subject :^]

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  @whiteraven62603 ай бұрын

  @Thinkstr I didn't even compliment your video, my bad 🤤 Great work, Mr Squid sir, I thoroughly enjoyed it, from start to finish ✨️

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  @Thinkstr3 ай бұрын

  @@whiteraven6260 Thanks! This is by far my more popular and most controversial, haha.

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  @DeltaElKoopa3 ай бұрын

  SENTRY DOWN !!!!!

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  @Thinkstr3 ай бұрын

  ...Buildin' a sentry!

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  @microwavecoffee4 ай бұрын

  When you mentioned dropout layers I actually started laughing! That's such a positive approach to life

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  @Thinkstr4 ай бұрын

  Haha, thanks! My mum asked the neurologist we saw, "could this be a good case-study?" lol

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  @microwavecoffee4 ай бұрын

  ​@@ThinkstrSounds like it would be!

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  @essuie-glace_laser4 ай бұрын

  I came for the bee. Bzzzzz

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  @martinschulze53994 ай бұрын

  even your squid has a mask? you have some serious issues

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  @Thinkstr4 ай бұрын

  Haha

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  @ddogg92554 ай бұрын

  Brains are gonna do their thing, we're just in the passenger seat. Best of luck with your health!

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  @Thinkstr4 ай бұрын

  Thanks!

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  @MagnumInnominandum4 ай бұрын

  OMG really?

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  @Thinkstr4 ай бұрын

  Yeah!

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  @socialmediumspace4 ай бұрын

  That was a great video! Entertaining and educational.

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  @Thinkstr4 ай бұрын

  Haha, thanks for watching this, I wasn't sure how to share this weird information, lol

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  @joshismyhandle5 ай бұрын

  Thanks for helping deconstruct this concept!

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  @Thinkstr5 ай бұрын

  Hi! Thanks for watching!

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  @joshismyhandle5 ай бұрын

  Got a sub from me too :) keep up the good work!

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  @Thinkstr5 ай бұрын

  @@joshismyhandle Awesome! I want to make another vid about the FEP, but I need to publish a paper about it first, and that might take a while...

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  @joshismyhandle5 ай бұрын

  I look forward to seeing how your views have progressed. Learning is a marathon, not a sprint. Share your progress in your own time :)

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  @WaffleStomper695 ай бұрын

  We do this as a collective with language

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  @Thinkstr5 ай бұрын

  Wow, that's a great example! In the video I sound pessimistic about it, but language seems like a positive example.

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  @Opinion_One5 ай бұрын

  ❤ 🎉

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  @Thinkstr5 ай бұрын

  👍😊🌟

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  @freecomet5 ай бұрын

  I never noticed a lot of these things, thanks for pointing them out

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  @Thinkstr5 ай бұрын

  Thanks for watching! Even years later, this first vid's one of my favs.

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  @badstylecherry72555 ай бұрын

  That’s really cool. Hopefully you got that published

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  @Thinkstr5 ай бұрын

  I wish I had, I actually just graduated with it!

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  @user-or1rc9ng1j5 ай бұрын

  Where can I see the code you made?

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  @Thinkstr5 ай бұрын

  I'm afraid I can't find the code for this video, but the next video did the same thing for reinforcement learning, and I've got that code here: kzread.info/dash/bejne/mKyt1tafZrebk6Q.html github.com/TedTinker/Tinker_FROMP_RL

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  @7ynnLe5 ай бұрын

  Thank you for diving into the math, its starting to make more sense to me now. Squidscribed :D

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  @Thinkstr5 ай бұрын

  Thanks for watching! I want to make another video about the FEP because I've learned a lot lately, but I have to publish a paper before I can talk about it like I want, so it might be a while, haha.

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  @7ynnLe5 ай бұрын

  ​@@Thinkstr haha good luck with publishing your paper. I am also publishing one - mine is about building convolutional-based brain decoders to understand the neural code. I make my highly parameterized model more interpretable using neuroscience-based inductive biases. I haven't used anything with the FEP (yet?) but that's why I wanted to understand the principle to see if I want to incoorporate it in to final chapter, so again thanks a lot for these videos. If you're ever interested in highly expressive neural decoders, let me know :)

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  @ritvicpaarekh69635 ай бұрын

  Even if we face a surprising situation the memory and memory related neural network to the area involved in action selection and planning can help conserve energy.

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  @Thinkstr5 ай бұрын

  Oh I like that! It sounds like reinforcement learning reduces free energy retroactively to avoid surprise in the future.

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  @ritvicpaarekh69635 ай бұрын

  So that in the future if anything significant/surprising can happen we can act properly, we don't make mistakes that can be costly.

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  @ritvicpaarekh69635 ай бұрын

  @@Thinkstr if I'm correct free energy is available energy, and we minimise free energy due to how much we lose if we don't.

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  @anthonybrett4 ай бұрын

  @@ritvicpaarekh6963 It also ties heavily into the statistical mechanics and the second law of thermal dynamics (Entropy). Energy is information <-> Information is energy (Feynman) Life finds a "sweetspot" value of entropy so as to maintain it's existence.

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  @dinoscheidt5 ай бұрын

  Very unique and great deductive skills. Subscribed!

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  @Thinkstr5 ай бұрын

  Thanks for watching! I wanna do another on the FEB, but I need to publish a paper first...

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  @F_Sacco5 ай бұрын

  man this videos are amazing!

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  @Thinkstr5 ай бұрын

  Thanks for watching! I wanna do another on the FEB, but I need to publish a paper first...

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  @F_Sacco5 ай бұрын

  @@Thinkstr subscribed this way i am not going to miss is!

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  @Thinkstr5 ай бұрын

  @@F_Sacco Thanks! I never expected to have more than a thousand subscribers when I started this channel, haha

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  @veraducks6 ай бұрын

  Ster_ has actually mostly moved on from TF2. He does a lot of other games, as well as a D&D liveplay! Jerma has also switched to variety. If you ever have time, I *strongly* recommend watching his Twitch stream "Jerma's Dollhouse". It's experiential in a "unique mass media" way. I think the most seriously I ever took TF2 was the time a friend took control of the mouse and I was on keyboard and we rampaged as heavy.

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  @chciken6 ай бұрын

  Fish exist. They're called vertebrates.

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  @Thinkstr6 ай бұрын

  Humans are also vertebrates, but I don't think they're usually considered fishies. That would make the definition of fishies even wider and less consistent than it is to begin with.

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  @chciken6 ай бұрын

  @@Thinkstr the same way a chicken is a dinosaur, a chicken is also a fish. That's just how cladistics work, I'm afraid.

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  @chciken6 ай бұрын

  @@Thinkstr or would you like to say that reptiles don't exist because we don't think of birds as reptiles?

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  @Thinkstr6 ай бұрын

  ​@@chciken Behold, a fishy 🐔 Behold, seafood 🍗 I think your latest comment is viewing the "fish don't exist" idea backwards. If we thought of bats and butterflies as birds just because they can fly, then we would have a book called "why birds don't exist" explaining the inconsistency of the term from an evolutionary perspective. The fact we don't call birds reptiles makes the term reptile more specific and more consistent, not less. Thank you for your comments, friendly squidling. This is one of my most popular and controversial videos.

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  @chciken6 ай бұрын

  @@Thinkstr again, that's not how cladistics works. I suppose we'll take this point by point. Are birds dinosaurs? Are dinosaurs archosaurs? Are archosaurs reptiles? Are reptiles tetrapods? Are tetrapods derived from lobe-finned fish? If you answered yes to all of these, congrats. Now you understand that birds are lobe-finned fish. If you answered no to any of these, sorry, but your science has quotation marks around it.

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  @badstylecherry72556 ай бұрын

  It sounds like a typical subreddit lol

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  @Thinkstr6 ай бұрын

  Haha, totally. Subreddits can make bad ideas pop out of nowhere. (Except subreddits I like, obviously. Everyone's a hypocrite but me, definitely!)

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  @badstylecherry72556 ай бұрын

  Hi Thinkstr, I just came across your channel while looking up the Free Energy Principle. It's somewhat serendipitous that I managed to find your channel as I am considering studying a masters (or possibly phd) in Japan since I'm settled here. How has your experience been? Also, hope you're enjoying Okinawa, I love that place.

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  @Thinkstr6 ай бұрын

  Hi, thanks for watching! Okinawa is gorgeous, but I wish it had public transport like Tokyo, haha. Getting a PhD is pretty stressful, but it's usually the kind of stressful I like, working on interesting projects. I want to make another video about the FEP, but have to publish a paper first. Someday!

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  @Totiha6 ай бұрын

  Woah this video is so great! Great work!

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  @Thinkstr6 ай бұрын

  Thanks! This is one of my most popular ones, and also kind of the most controversial, haha. Is your picture the robot gal from Nichijou? I love that show!

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  @fernandojorge77646 ай бұрын

  Clever stuff man, wasn't expecting to find this when looking up GEB stuff on KZread. Anyway there are other GEB moments in R&M, another one that comes to mind is when Rick builds the heist bot and beats it by having a plan one level higher than the machine, revealing the machine was ultimately limited in how many addendums it could make to its own formal system for heist planning.

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  @Thinkstr6 ай бұрын

  Ooh, good one! Thanks for watching

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  @neeklahs6 ай бұрын

  Wooo weee

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  @Thinkstr6 ай бұрын

  Yippeeeee

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  @eviaspro89217 ай бұрын

  Wow, thank you for this video! I love Rick and Morty and just today I bought GEB, I'll be back in some months with some reflections hopefully

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  @Thinkstr7 ай бұрын

  I'm glad Rick and Morty can bring you to GEB! GEB is really thick, I think I can only have it a few hundred pages before losing track of it, but you can find interesting stuff from the start.

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  @kvaka0097 ай бұрын

  Why do we (some) love surprise parties? Gifts? Adventures?

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  @Thinkstr7 ай бұрын

  Great question! An interesting aspect of the FEP is that it's possible to be TOO afraid of surprise. What we really need is to seek out safe surprises so they can't surprise us in dangerous ways in the future. Like, we wanna see legos on the floor so we don't step on them.

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  @kvaka0097 ай бұрын

  @Thinkstr agreed, but the answer to that question must be even more complicated and interesting. Firstly, it is clear that there is a tension between decreasing the unpredictability of the environment and exploring the environment to create better models of it. This itself seems to be rooted in a deeper paradox, which is that the more an animal explores, the more the range of surprises increases. For instance, QM was a very surprising theory. Why didn't we just stick with classical models?! Second, I think seeking out novel interactions and environments has the potential benefit of increasing the size of our Markov blanket. For instance, meeting someone interesting with surprising points of view increases the range of stimuli we have access to a well as gives us more possibilities for affecting our surroundings. I think symbiosis operates this way. In any case, the point is that something very intricate happens with the free energy principle as one goes up the scale of biological complexity. I think the FEP holds, but more must be said for how the temporal cone of animals increases, when clearly a larger temporal horizon increases the potential sources of surprise.

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  @Thinkstr7 ай бұрын

  @@kvaka009 Trying to apply the FEP to reinforcement learning, I've found agents seek out surprise until nothing can surprise them anymore; then the agents understand their environment so thoroughly they know how to get extrinsic rewards. I guess knowing is half the battle.

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  @thib85056 ай бұрын

  Very interesting discussion that helps me to think about these concepts... There is indeed an apparent contradiction between (1) minimizing surprise, that is, acting in a way to best predict the next observation or sensory input to come ; and (2) decreasing the unpredicability of the environnement, as you phrase it @kvaka009. How does one learn and adapt from a changing environment without expose oneself to novelty ? Is being averse to uncertainty/ambiguity an efficient way to learn in an environment that is - at first sight - umpredicable ? To me, this aversion to uncertainty/ambiguity sounds like the perfect opposite of curiosity, but in the active inference litterature it is not. As I currently (and erroneously) see it, it's as if the brain would just stick to the same and predictable routines, and will be averse to aknowledge any novelty or richness left available to gather in the environment, thereby hindering any potentiality to learn and adapt. Certainly i'm confused with some terminology and concepts beneath... I'm sure there is something I dont understand. I'm doing a PhD in this field (trying to link oculomotor control to Friston's active inference theory), and me and my supervisor are actually kind of stuck on this weird contradiction. Hope to see your responses in my notifications guys ! 😂

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  @thib85056 ай бұрын

  ​@@Thinkstr what you described corresponds to a pattern classically obseved in FEP litterature, the fact that agents engage primarily in a "epistemic", information-seeking behavior, so as to gather knowledge about the environment it is in, and then engage in a reward-seeking behavior. This is the reason why FEP is tought to resolve the explore-exploit dilemma, widely used in cognitive psychology and ethology (should I stay exploiting this actual food source, or should I seek another potentially non-existant, more rewarding food source ?) See for example : pubmed.ncbi.nlm.nih.gov/25689102/