What? This is even less coherent.

You weren't talking to GPT-4o about philosophy recently, were you?

I'd know cutting-edge linguistics and signaling theory well beyond Shannon to parse this, not NLP or engineering reduction. What I've stated is extremely coherent to Systemic Functional Linguists.

Beyond this point engineers actually have to know what signaling is, rather than 'information.'

https://www.sciencedirect.com/science/article/abs/pii/S00033...

Ultimately, engineering chose the wrong approach to automating language, and it sinks the field. It's irreversible.

▲

morpheos137 3 days ago | parent | next [-]

If not language what training substrate do you suggest? Also not strong ideas are expressible coherently. You have an ironic pattern in your comments of getting lost in the very language morass you propose to deprecate. If we don't train models on language what do we train them on? I have some ideas of my own but I am interested if you can clearly express yours.

▲

mallowdram 3 days ago | parent [-]

Neural/spatial syntax. Analoga of differentials. The code to operate this gets built before the component.

If language doesn't really mean anything, then automating it in geometry is worse than problematic.

The solution is starting over at 1947: measurement not counting.

▲

morpheos137 3 days ago | parent [-]

The semantic meaning of your words here is non-existent. It is unclear to me how else you can communicate in a text based forum if not by using words. Since you can't despite your best effort I am left to conclude you are psychotic and should probably be banned and seek medical help.

▲

mallowdram 3 days ago | parent [-]

Engineers are so close-minded, you can't see the freight train bearing down on the industry. All to science's advantage replacing engineers. Interestingly, if you dissect that last entry, I've just made the case measurement (analog computation) is superior to counting (binary computation) and laid out the strategy how. All it takes is brains, or an LLM to decipher what it states.

https://pmc.ncbi.nlm.nih.gov/articles/PMC3005627/

"First, cell assemblies are best understood in light of their output product, as detected by ‘reader-actuator’ mechanisms. Second, I suggest that the hierarchical organization of cell assemblies may be regarded as a neural syntax. Third, constituents of the neural syntax are linked together by dynamically changing constellations of synaptic weights (‘synapsembles’). Existing support for this tripartite framework is reviewed and strategies for experimental testing of its predictions are discussed."

▲

morpheos137 3 days ago | parent [-]

I 100% agree analog computing would be better at simulating intelligence than binary. Why don't you state that rather than burying it under a mountain of psychobabble?

	▲	mallowdram 2 days ago \| parent [-]
		Listing the conditions, dichotomizing the frameworks counting/measurement is the farthest from psycho-babble. Anyone with knowledge of analog knows these terms. And enough to know analog doesn't simulate anything. And intelligence isn't what's being targeted.

▲

ACCount37 3 days ago | parent | prev [-]

One of the main takeaways from The Bitter Lesson was that you should fire your linguists. GPT-2 knows more about human language than any linguist could ever hope to be able to convey.

If you're hitching your wagon to human linguists, you'll always find yourself in a ditch in the end.

▲

mallowdram 3 days ago | parent [-]

Sorry, 2 billion years of neurobiology beats 60 years of NLP/LLMs which knows less to nothing about language since "arbitrary points can never be refined or defined to specifics" check your corners and know your inputs.

The bill is due on NLP.

▲

ACCount37 2 days ago | parent [-]

Incoherent drivel.

	▲	Mallowram 2 days ago \| parent [-]
		[dead]