If a tiger attacks you, you better react fast, but one strictly human example is noticing and reacting to angry faces.
An angry person comes at you with a bloody hammer you react before you understand what's even happening
1,090 karma · joined October 6, 2024
If a tiger attacks you, you better react fast, but one strictly human example is noticing and reacting to angry faces.
An angry person comes at you with a bloody hammer you react before you understand what's even happening
Saying that danger classification is slow is very clearly false because animals must react fast to danger or die.
You bringing up something bogus like system 3 makes me think this conversation is pointless and Im just chatting with a system 1 that does not have good shortcuts to have a good conversation about this so it's making new up contexts.
But for example the amygdala is super fast at tagging dangerious situations with emotions.
And humans socialize subconsciously, so all the small talk conversations are all subconsciously generated.
The definition from the book was:
System 1 is subconscious, fast, automatic and relies on heuristics
System 2 is conscious, slow, deliberate and effortful
The systems apply for humans and describe conscious and subconscious processing. Without that the entire reference to thinking fast and slow is bullshit.
System 1 can do multiple passes and all that, the speed is related to how aware are you of the computation occuring and system 2 must be consciously managed.
Example: You write a quick reply to a comment - thats system 1
You add two four digit numbers in your head - that will be system 2 unless you are very good, then it can be system 1 also
Why? Because memory allocations and addition computations are manually managed.
So the entire debate is fubar.
So to talk about system 2 in AI we need to talk about consciousness. As long as AI is not officially conscious there is no System 2 thinking implemented
Meta-cognition makes sense in a dynamic and updatable and modular system, for example I can monitor thoughts coming from my amygdala with my prefrontal cortex and then adjust how I process these thoughts.
In LLMs it makes zero sense, even if you feed the output of one model into another, there is no way they can update the heuristics behind how those were computed.
I like the idea of System one models but all LLMs so far work as system 1 thinking because humans generate speech subconsciously with system 1.
System 2 thinking requires consciousness which AI does not have, so even reasoning models are still system 1 thinking as system 1 in humans has reasoning with heuristics.
Its limited but most people navigate the world with it completely, so it's enough for AI.
Shopify gets to control a large portion of the CSS UI market that AI so eagerly generates. Good for them
I don't know about what would constitute as colored function in go as I generally don't consider arguments to be function colors.
Maybe methods in go would be different colored functions when they are defined on different struct types.
I assumed they can occupy the same space due to superposition principle, as waves could stack and modulate each other, sort of like wave A and wave B occupying the same space could produce a wave A+B
So a singular point would be the sum of all waves occupying the space.
But maybe gravity or spacetime itself is a recursive function and black holes are functions without a base case and there is no singular point, only non-terminating recursion.
Some ideas to funnel into AI so I can entertain myself hah
if quantum objects can fall and multiple quantum waves can occupy the same space, then why doesn't everything always collapse into a single point?
Why does it only happen in black holes and outside of that quantum waves instead create emergent systems instead of just collapsing together?
Does high gravitational force nullify emergence in space/time?
Might be a stupid question. I don't study this subject much.
Who else would be burning tokens on this?