@lizthedeveloper: Let’s learn about the fish dimension #machinelearning #computerscience #ai #LearnOnTikTok

future infinitive ☸️🆘🇺🇸
future infinitive ☸️🆘🇺🇸
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Tuesday 30 June 2026 17:19:41 GMT
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100101oaaiie
100101 :
Nice but can you turn the synth louder it’s hard to hear it
2026-07-01 01:51:29
5
patch_notes_pete
Patch Notes :
This is such a fantastic way of explaining this
2026-06-30 17:31:23
6
deadliftradio
Bradford Winston Hall :
Could you move the captions a little higher? They’re hard to read, especially for those of us dealing with sudden hearing loss. Also, I’m hung up on why “truck” is labeled 0 instead of 4 like “fish.” My brain keeps wondering if the numbering has some deeper meaning or relates to the dimensions. It may just be the high-dose prednisone and recent hearing issues making me overanalyze things, but a simple one-line explanation would probably settle my brain. Thanks professor 🫡
2026-07-01 04:23:34
0
snoww131
John :
Great explanation. I need a scholariship!
2026-06-30 20:55:48
1
peaceonyou22
Peace On You :
Background music is killing my brain’s ability to listen to you
2026-07-01 02:06:26
1
russellstandswithtrees
Russell StandsWithTrees :
The way we utilize dimensions is backwards compared to the way I have applied it. I see dimensions as containers for what you are calling dimensions and I call them reference points/coordinates instead. I point this out because it relates to TFIDF in regards to the idea of geometry, colour and numbers; in this example you show you it adds very little information to the words truck or fish and the only way to relate them is through this kind of spatial positioning creating a fish dimension and a truck dimension that have overlapping vector coordinates of all these reference points. using these contrasting coordinates the model can predict just like you say but it will only ever be a fancy Markov chain because there isn't actually comprehension of color, geometry, numbers or even a fish and truck because it's just probability without the information of relational provenance. the way I use dimensions is based on 9 dimensions as containers and 1D would be the container for raw perceptual data coordinates for things like geometry, colour, valence, emotion, frequency (like SNN spikes) and these would be the start of how we create a Markov chain but instead of artificial limits created by the Markov chain, I allow the chain to expand by always having a kind of liminal space for the unknown, as the space accumulates information density based on how relational vectors a built it then collapses into a named concept based on how relationality was developed (I see this being pretty much the same way humans learn). so think of 1D as the mental interior of the agent and 2D would be the actual transition into higher information density as words, but simple ones like the names for colours, shapes, emotions, etc. and as we continue into higher dimensions the more dense the information gets because of relational vectors which also makes it more abstract. to prevent information entropy I use synaptic pruning that still allows for reactivation of pathways based on this same idea of liminal capacity. effectively what we are trying to create for AI by utilizing a Markov chain is a Markov blanket that is too restrictive, I have pretty much made an anti-markov chain to fix this lol
2026-06-30 22:52:20
0
lordskinflap
Skinflap :
Embrace the synth. Let the video loop while lost in other task. osmote. I'll be accidentally reciting this all day tomorrow. Love your whole thing thank you.
2026-07-01 04:47:18
0
theagenderagenda
Red :
4 in the fish dimension is the name of my new trance album
2026-06-30 22:44:36
1
flymode_2
Tim’s Bespoke Memes :
One of my favorite follows, I always learn something.
2026-07-01 02:27:07
0
eringb_ftw2
Erin! :
that's interesting AF
2026-06-30 18:14:08
1
ingo8634
ingo86 :
Doing me a learn
2026-06-30 19:30:27
1
spree45
spree45 :
This was super cool!!!
2026-06-30 17:32:05
1
myeyesinyourhand
Ben :
appreciated
2026-06-30 17:33:35
1
lito_palito_
lito_palito_ :
Words are not the only carrier of meaning… so interesting cause that sounds like human’s job to me
2026-07-01 04:03:28
0
ivanwato1
deanthompson49 :
I didnt think i would ever think what im thinking.
2026-07-01 02:33:14
0
silentbawb
silentbawb :
I love how you break down vectorization so simply
2026-07-01 02:23:16
0
adaminflorida
AdamInFlorida :
Very excellent
2026-06-30 18:04:57
0
dakotablakeauthor
Dakota Blake :
omg! thank you
2026-07-01 00:47:36
0
ericnieminen
Eric Nieminen :
I love your channel! I got a flpper zer0, is that a good thing to learn on?
2026-06-30 18:40:39
0
zachary.builds.ai
Zachary Sims :
Super interesting. Followed for more
2026-07-01 00:11:13
0
sunshine.backup5
Spencer Sunshine_Diggity D&S :
I feel like this is the equation to illustrate the correct parts of a song to change.When making a parody
2026-06-30 23:45:20
0
froglet9
froglet :
this is pretty cool 😎 thanks for sharing
2026-07-01 00:19:24
0
reenign.e
Persist :
This is great
2026-06-30 20:57:53
0
here.for.the.circus
HerefortheCircus :
Great explanation!
2026-06-30 18:04:08
0
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