cc:
@WerrellBradley
Source date (UTC): 2025-11-27 11:53:07 UTC
Original post: https://twitter.com/i/web/status/1994011600970473671
Form: Reply
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cc: @WerrellBradley
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Well, that’s not likely possible because there isn’t enough brain volume for the
Well, that’s not likely possible because there isn’t enough brain volume for the sufficient neural numbers. Dogs are already just neotenous wolves.
Bird brain structure is superior per unit of volume for reasons we understand, but again, even with that organization the brain is too small.
Brain to body volume ratio, and availability of hands constrain most animals.Crows are freaking scary but they’re also freaking petty. ;). Dogs are almost neurologically perfect for cooperation with man.
Source date (UTC): 2025-11-27 02:30:20 UTC
Original post: https://twitter.com/i/web/status/1993869972414845411
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If you need more (detailed expression) I can provide it
If you need more (detailed expression) I can provide it
Source date (UTC): 2025-11-27 02:04:36 UTC
Original post: https://twitter.com/i/web/status/1993863497789378755
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Positiva: https:// x.com/curtdoolittle/ status/1993862640947614223 … Negativa
Positiva:
Source date (UTC): 2025-11-27 02:03:34 UTC
Original post: https://twitter.com/i/web/status/1993863237188898917
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Brian: Undeniable fact: human emotions are the result of acquisition, retention,
Brian:
Undeniable fact: human emotions are the result of acquisition, retention, use, trade, or consumption of demonstrated interests across the spectrum.This is computable. Even sex and individual differences are computable. The fact that the industry is populated by people who are from educational silos is the most likely inhibition.
Why? systems that are internally closable are trivial compared to systems that are externally closable. (closure). They’re working hard to solve the trivial problem without solving the hard problem.
Economics thought is more important than physics in determination of constraint, closure, and decidability in any real world model.
It’s also far harder.
It’s also what LLMs can be good at … if we teach it to them.(Which is what we do.)
Curt Doolittle
Source date (UTC): 2025-11-26 22:46:57 UTC
Original post: https://twitter.com/i/web/status/1993813758184181942
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We know how to solve the problem of computability using LLMs. I would argue that
We know how to solve the problem of computability using LLMs. I would argue that the foundation model producers don’t understand the problem which is why they can’t solve it.
We did. And it’s really, really, hard.
Source date (UTC): 2025-11-26 22:40:15 UTC
Original post: https://twitter.com/i/web/status/1993812071356747997
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Kind of a dumb analogy. Look at the size of the population and economy. Worse, c
Kind of a dumb analogy. Look at the size of the population and economy. Worse, china is the worlds most aggressive polluter. So what point are you trying to make that isn’t false?
Source date (UTC): 2025-11-26 22:39:07 UTC
Original post: https://twitter.com/i/web/status/1993811784340545703
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Always true. I just retired my 2014 top of the line macbook pro retina for a new
Always true.
I just retired my 2014 top of the line macbook pro retina for a newer top of the line macbook pro M1. Meaning I got a decade of use out of that Macbook Pro. I didn’t need anything more than the 2014 model. Its only that no one will repair them any longer, and they can’t accept the OS upgrades.
Apple is a better buy.
Source date (UTC): 2025-11-26 22:38:08 UTC
Original post: https://twitter.com/i/web/status/1993811538587820346
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I would argue that’s not quite true. The brain is possible to understand at leas
I would argue that’s not quite true. The brain is possible to understand at least functionally. If we look at LLMs as the language faculty, and that we’re brute forcing the LLM’s world models via language, but that we haven’t yet created the prefrontal cortex and consciousness, then every LLM behavior is obvious and predictable. The impediment to completing that circuit is that it dramatically increases costs.
Source date (UTC): 2025-11-26 22:25:45 UTC
Original post: https://twitter.com/i/web/status/1993808423214043355
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In our opinion (our organization) this is true. The value of any ai is dependent
In our opinion (our organization) this is true. The value of any ai is dependent upon the capacity of individuals to leverage extant AI. For the .001% of us, the value is infinite. But that value doesn’t scale enough to pay for the absurd cost of compute.
I don’t know if architectures is the right frame, I might argue it’s contexts. One must know enough to ask the meaningful question. And the AI must know the context in order to meaningfully respond to it.
Source date (UTC): 2025-11-26 22:22:41 UTC
Original post: https://twitter.com/i/web/status/1993807650879098983
