Arguably most people are not generally intelligent, because they don't have to solve problems that make them generally intelligent. ...[I]t's not yet clear if we are smart enough to build AI and understand our own nature to this degree... [I]t could be a matter of capacity, and for most people it's... a matter of interest. They don't see the point because the benefits of attempting this project are marginal, because you're probably not going to succeed... and the cost... requires complete dedication of your entire life.
cognitive scientist
, also known as “the wizard of consciousness”(born 1973 in Weimar, Germany) is a cognitive scientist focusing on cognitive architectures, models of mental representation, emotion, motivation and sociality. Achievements include research in novel data compression algorithm using concurrent entropy models; development of microPsi cognitive architecture for modeling emotion, motivation, mental representation. In 2000, Bach graduated with a diploma in Computer Science from Berlin, followed by a Doctor of Philosophy at Osnabrück University, Germany, in 2006.
Before joining , he worked as a visiting researcher at the and the Harvard Program for Evolutionary Dynamics. Fact finding reports by the and found that Bach’s research was supported with more than $150,000 by the Foundation.
From: Wikiquote (CC BY-SA 4.0)
AI’s gradual demotion from a science of the mind to the nerdy playpen of engineering was accompanied not by utterances of disappointment, but by a chorus of glee, uniting those wary of human technological hubris with the same factions of society that used to oppose evolutionary theory or materialistic monism...
[W]e saw that mental representation is about percepts, mental simulations, conceptual representations... [C]onceptual representations give us concept spaces, and... these concept spaces... give us an interface for our mental representations we can use to address and manipulate them, and we can share them in cultures. [T]hese concepts are compositional. We can put them together to create new concepts. ...[T]hey can be described using higher dimensional vector spaces. They [vectors] don't do mental simulation and prediction, and so on, but we can capture regularity in our concepts with them.
Works in ChatGPT, Claude, or Any AI
Add semantic quote search to your AI assistant via MCP. One command setup.
[C]ausal models can be weakly deterministic, basically associative models, which tell you if this state [S<sub>1</sub>] happens, it is quite probable that this one [S<sub>2</sub>] comes afterwards. Or you can get to a strongly determined model... one which tells you, if you are in this state [S<sub>1</sub>], and this condition [c<sub>1</sub>] is met, you're going to go exactly in this state [S<sub>2</sub>]. If this state is not met, or a different condition [c<sub>2</sub>] is met, you go into this state [S<sub>3</sub>]. And this is what we call an algorithm. Now you're in the domain of computation.
[T]here also seems to be a particular kind of ground truth, [e.g.,] you are confronted with the enormity of something existing at all. ...It's stunning when you realize something exists, rather than nothing. ...[T]his seems to be true. There is an absolute truth in the fact that something seems to be happening.
Unlike physics, where previously unknown entities and mechanisms... are routinely postulated... and... evidence is sought in favor or against these... psychology shuns [this methodology]... Thus... cognitive psychology shows reluctance... to building unified theories of mental processes. ...Piaget's work ...might be one of the notable exceptions ...
At some point you have to understand the comedy of your own situation. If you take yourself seriously, and you are not functional, it ends in tragedy, as it did for Nietzsche. ...[Y]ou find the same thing in Hesse... The Steppenwolf syndrome is classic in all its sense, where you... feel misunderstood by the world and you don't understand that all the misunderstandings are the result of your own lack of self-awareness, because you think that you are [the] prototypical human and the others around you should behave the same way as you expect... based on your innate instincts; and it doesn't work out, and you become a transcendentalist to deal with that. ...It's very... understandable and I have great sympathies for this, to the degree that I can have sympathy for my own intellectual history. But you have to grow out of it.
If you take the activation at different levels of these networks and you... enhance this activation a little... you get stuff that looks very psychadelic, which might be similar to what happens if you put certain illegal substances into people and enhance the activity on certain layers of their visual processing.
The fuzzy idea is the one of continuous existence. We don't have continuous existence... because it's not computable. There is no continuous process. The only thing that binds you together with the last week and from yesterday is the illusion that you have memories about them. So if you want to upload, it is very easy. You make a machine that thinks it's you. ...It's the same thing that you are. You are a machine that thinks it's you.
The failure to deliver on some of the early, optimistic promises of machine intelligence, as well as cultural opposition, lead to cuts in funding for cognitive AI, and eventually the start of the new discipline of Cognitive Science. ...Cognitive Science did not develop a cohesive methodology and theoretical outlook, and became an umbrella term for neuroscience, AI, cognitive psychology, linguistics and philosophy of mind.
How does... representation by simulation work? ...If you are a brain and you want to understand sound, you have to model it. ...Neurons do not want to do 20 Khz. That's way too fast for them. They like something like 20 Hz. So... you need to make a [which] measures the amount of energy at different frequencies. ...This ...in our ears ...transforms energy of sound at different frequency intervals into energy measurements... This is something that the brain can model. ...[A] neurosimulator tries to recreate these patterns. If it can predict the next input from the cochlea, then it understands the sound.