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·7 hari yang lalu·discuss
... Today its "Claude just needs to write it" and the "hard part" is the prompt :)
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·7 hari yang lalu·discuss
Current situation exist presisely due researches of 20th century though. This is largely connected things
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·8 hari yang lalu·discuss
There are still problems though - in Chrome translation addon simply no way to login properly so its broken //
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·11 hari yang lalu·discuss
Also represents good test coverage
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·bulan lalu·discuss
It's the opposite, engineers do know. Claiming otherwise is way too generous and over confident.

I mean between this two "knowings" the Claude inner workings are much more clear for engineers, including many side effects, alternatives, custom shortcuts in processing etc. It's a magic only for people looking at it as black box
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·bulan lalu·discuss
Well, at the very least we have a base to distinct different kinds then.

Probably the main problem of people implying LLM consciousness is that they imply LLM have human-kind of consciousness. Judging only on "how they speak", generally, they insist on using the same word that labels human consciousness (exclusively), etc.

But there are so many instrinic differences that such claim is not feasible despite similar "talking abilities".
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·bulan lalu·discuss
It is useful, so yes
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·bulan lalu·discuss
MOE basically work that way already, QWEN/etc with low active params (A-number in name) allows to inference big models locally (only active params have to fit into memory)
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·2 bulan yang lalu·discuss
With both cases the agent doing something is human. And human beings are indeed conscious. Outside human needs LLM are useless.

Math, as a tool, is just a proxy for people using LLMs, as well as GPUs spending cycles on calculating the math
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·2 bulan yang lalu·discuss
> weak reasoning once you get off the beaten path

Yep. And LLM engeneers improving this issues see perfect correlation with only one thing - data quality and quantity through training pipeline. LLM internals are secondary on many metrics for improving that

Humanity just reached the point where collective accessible knowledge covers semi-full perturbations of all main concepts that human consiousness ever produced, with additional associative expanding (math handles this). Full perturbations with current communication complexity are written down and recorded one way or another, LLMs just capitalizing on that tipping point, imho
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·2 bulan yang lalu·discuss
Math used in LLMs is perfectly reducible and Gödel have nothing to do with it - inside commonly used axioms (which sufficient for LLM to exist and outside of Kurt Gödel scope) there are ZERO questions/uncertainties how it works, it's just a fact :)
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·2 bulan yang lalu·discuss
+100, companies certainly have direct interest in pumping asset evaluation, and emotional attachment is financial valuable thing. Emotional attachment sells better than xxx this days
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·2 bulan yang lalu·discuss
Imho no, math itself have no conciousness. Quite confidently its a helpful tool that does not act by himself.
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·2 bulan yang lalu·discuss
I can not simulate my brain, it's a huge stretch to imply this.

But with LLMs - anyone can simulate LLM. LLM can be simulated without any uncertainties in pen and paper and a lot of time. Does it mean that 100 tons of paper plus 100 years of time (numbers are just examples) calculating long formulae makes this pile of paper consiousness? Imho answer is definitive no.
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·2 bulan yang lalu·discuss
Since the times GPT-2 was reimplemented inside Minecraft - its quite obvious LLMs are just math. Nothing else, by nature. Modern LLMs have the same math as in GPT-2 - just bigger and with extra stuff around - and math is the only area of human knowledge with perfect flawless reductionism, straight to the roots. It was build that way since the beginning, so philosophy have no say in this :) And because of that flawless reductionism, complexity adds nothings to the nature of math things, this is how math working by design - so it can be proven there are no anything like consciousness simply because conciousness was not implented in the first place, only perfect mimicry.

And the real secret is in the data, not math. Math (and LLMs running it through billions of weights) is just a tool.
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·3 bulan yang lalu·discuss
With current standartization the issue of "page not working on non-Chrome browser" is non-existent. Thanks god nowadays everything (pages) work everywhere in very similar manner, I am using chrome, firefox, safary and opera and have zero problems last 5+ years. Old days are gone.
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·3 bulan yang lalu·discuss
But on the other hand, adding LLM with strong guards (not yet here but doable for popular attack vectors) into the human loop can drastically eliminate insider factor, imho.
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·3 bulan yang lalu·discuss
probably 8M params are too much even :)
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·4 bulan yang lalu·discuss
Well, this is a business model, not a coincidence... They are in the battle of selling fresh hardware each and every year consistenly
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·4 bulan yang lalu·discuss
Exactly!