Generally with the free energy principle you’re minimizing the level of surprise from an internal model and the environment. This can be effected by either altering the model or taking action in the environment. Could you frame your work in these terms?

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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.

I LOVE THAT BOOK!

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

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.

Kanye West moment.

Ask yourself: "Do you like fish sticks?"

loved this!

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."

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

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

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

“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”

is it weird i find this video kinda hot?

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.

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

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

Bro, your videos are amazing

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.

You're soo underrated smh

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.

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.

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).

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?

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

SENTRY DOWN !!!!!

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

I came for the bee. Bzzzzz

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

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

OMG really?

That was a great video! Entertaining and educational.

Thanks for helping deconstruct this concept!

We do this as a collective with language

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

That’s really cool. Hopefully you got that published

Where can I see the code you made?

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

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.

Very unique and great deductive skills. Subscribed!

man this videos are amazing!

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.

Fish exist. They're called vertebrates.

It sounds like a typical subreddit lol

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.

Woah this video is so great! Great work!

Clever stuff man, wasn't expecting to find this when looking up GEB stuff on KZbin. 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.

Wooo weee