(well done.)
Source date (UTC): 2024-05-20 16:49:06 UTC
Original post: https://twitter.com/i/web/status/1792598436136513652
Reply addressees: @WalterIII
Replying to: https://twitter.com/i/web/status/1792598267265692093
(well done.)
Source date (UTC): 2024-05-20 16:49:06 UTC
Original post: https://twitter.com/i/web/status/1792598436136513652
Reply addressees: @WalterIII
Replying to: https://twitter.com/i/web/status/1792598267265692093
Maybe. And BTW: a big thanks for the intellectually honest and respectful response you gave above when I erroneously assumed you were making a moral argument instead of a rational one. -hugs
Source date (UTC): 2024-05-20 16:14:00 UTC
Original post: https://twitter.com/i/web/status/1792589600797429760
Maybe. And BTW: a big thanks for the intellectually honest and respectful response you gave above when I erroneously assumed you were making a moral argument instead of a rational one. -hugs
Source date (UTC): 2024-05-20 16:14:00 UTC
Original post: https://twitter.com/i/web/status/1792589600877158477
Reply addressees: @Xiaotujii
Replying to: https://twitter.com/i/web/status/1792462158636437914
Channel? Do you mean Telegram?
Source date (UTC): 2024-05-20 04:38:44 UTC
Original post: https://twitter.com/i/web/status/1792414631291760716
Reply addressees: @TheoAdoreDore @romanyam
Replying to: https://twitter.com/i/web/status/1792392048516993179
I”ll use whatever people understand. Mostly I use “X-twitter.”
Source date (UTC): 2024-05-19 23:01:03 UTC
Original post: https://twitter.com/i/web/status/1792329650976477489
Reply addressees: @elonmuskADO
Replying to: https://twitter.com/i/web/status/1791944534194016736
@Plinz,
I’d like a little more clarity since I assume you mean by ‘sound’ a ‘formal’ or ‘constructable’ explanation of ‘the physical, neurological, and associative construction of representation?
So Why Did It Take So Long?
Early 20th Century: Gestalt Psychology – how complex representations are produced in the mind.
1950s-1960s: Early cognitive models and generative grammar. (Age of the cognitive revolution)
1970s-1980s: Connectionism, formal semantics, and cognitive linguistics. (Distributed representation)
1990s-2000s: Embodied cognition, neuroimaging, corpus linguistics, and distributional semantics.
Recent Years: Computational models, deep learning, and cross-disciplinary research integrating multidimensional data analysis.
And;
1. Neurologically we do know.
2. The emergence of LLM’s have popularized what we have known.
3. Depending upon your meaning, yes, until Turing we didn’t have the theory we have now. (Because Babbage failed to produce a theory, costing us a century, and the divergence of mathematic, logic, philosophy, and physics that ensued).
4. And linguistics has, at least since Chomsky adapted Turing for grammar, but in particular at least the past three decades, known (and I employed seventy something library science people for years working on it);
5. Philosophers have discussed ‘what’s it like to think like a bat’, meaning embodiment, scale, and time differences.
6. Artists, whether visual, poetic, or musical, or literary have known and made use of it, despite not grasping its constitution.
7. Mythology and theology certainly have understood.
And while the ancients thought in atoms (objects) and did grasp that ‘there can’t be nothing because we can’t observe anything without something to compare it to’, so it’s just “persistent relations in time, all the way down”.
It Took A Profound Reversal in Our Thought
And we thought, until at least Popper, but it’s certainly still the main framework of human thought, that justification produced non-falsehood, when conversely, the universe consists of persistent relations, and all logic is falsificationary, and even with a full knowledge of all first principles in the universe, given limits on computational and mathematical reducibility cannot cover the scope of operational possibility, rendering prediction of possibilities limited to some general regularly of the emergence of new patterns.
So there is a pattern in the history of human cognition that like the arc from embodiment through to the operational logic of first principles that evolves from human object, space, background place and location use in wayfinding, and the parsimony of memory needed to remember routes, as well as the parsimony of language necessary to explain both routes and their increasingly abstract applications of wayfinding to all manner of thoughts … that the brain is working in the opposite direction from distributed information, eliminating all information that does not consist of relations, and then combining those relations into perceptions we can then use to wayfind.
So it’s natural that given all of our introspectively possible cognition would result from such objects and justifications that we would fail to observe the unintrospectable construction of those things from nothing but relations in time between vibrations of neurons.
Cheers.
CD
Reply addressees: @Plinz
Source date (UTC): 2024-05-19 22:44:03 UTC
Original post: https://twitter.com/i/web/status/1792325373306269696
Replying to: https://twitter.com/i/web/status/1792140352410791980
I haven’t used Facebook since they purged Conservatives in … I think it was December of 2020?
And I had quite a following, bigger and more international with bigger reach than here on X.
Source date (UTC): 2024-05-19 22:11:24 UTC
Original post: https://twitter.com/i/web/status/1792317155901325701
Reply addressees: @elonmuskADO
Replying to: https://twitter.com/i/web/status/1791980144430588027
I haven’t used Facebook since they purged Conservatives in … I think it was December of 2020?
And I had quite a following, bigger and more international with bigger reach than here on X.
Source date (UTC): 2024-05-19 22:11:24 UTC
Original post: https://twitter.com/i/web/status/1792317155842658304
No. I need access to the information stream, and my organization needs the capacity to reach people.
Source date (UTC): 2024-05-19 22:09:05 UTC
Original post: https://twitter.com/i/web/status/1792316573111181641
Reply addressees: @elonmuskADO
Replying to: https://twitter.com/i/web/status/1791974619596931498
Great Question.
The TLDR answer is, only after we teach it, and even then it will take a while to tune it. But producing it from scratch is almost impossible to imagine. 😉
I work with the AI’s, meaning the paid versions, every day and it’s amazing how astoundingly dumb they are. 😉 I also have a fairly good understanding of the evolutionary direction and functionality that will be necessary to produce AGI. And it’s incrementally approaching that capacity – despite that I know, and these organizations konw, that the power consumption necessary to convert from single shot and attention based replies to a spectrum of answers, competing together, and then recursively competitively compared with one another.
So, I haven’t seen any genesis of knowledge or understanding at all, such as people produce, no matter how simple. And I have a very hard time imagining that there is any possible difference between the type of instruction I give ai’s today so that they gradually even understand a question I want to ask evolve into the capacity to even interpret those questions until after I’ve trained it to so so.
Now we have a fairly clear idea of how to train an AI to do the work, but there are two considerations (a) the rate of progress means any present investment may not carry forward (b) there are only so many people in our organization, and while the basic construct of all decidability is something we’re comfortable with training, the catalogue of relatively universal criminal, ethical, and moral questions – at least the thirty general categories – and each of those thirty general categories will take 200 to 500 training examples (input-output pairs) both expressions and questions, and it will require multiple cultural variations before it learns the general pattern across cultures. So for our existing staff, it would be almost impossible. Instead we’d need to train people possibly with economics or legal degrees, in the material then have that larger group produce the training data. (c) this kind of thing is expensive for a think tank. 😉
Cheers
CD
Reply addressees: @romanyam
Source date (UTC): 2024-05-19 21:24:25 UTC
Original post: https://twitter.com/i/web/status/1792305333135687680
Replying to: https://twitter.com/i/web/status/1792230523168788882