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frozenwind

95 karmajoined 6 वर्ष पहले
Tell me frozen wind, where have you been, where have you walked?

Just your curious noematic entity.

comments

frozenwind
·7 दिन पहले·discuss
The Xbox series S is very convenient for me: it fits neatly in the TV stand which is quite slim.
frozenwind
·12 माह पहले·discuss
I like this reply so much.
frozenwind
·पिछला वर्ष·discuss
thank you
frozenwind
·पिछला वर्ष·discuss
I'm wondering: are there any simulator games in which you have to take care of the stability of a nation-wide power grid? This whole situation has me interested in logistics of power distribution now.
frozenwind
·2 वर्ष पहले·discuss
I don't think I will ever use Lisp but I love the way this site documents different examples with all kinds of hardware. I wish there were more sites like these for other microcontroller/SoC languages like lua, mPython, Arduino derived boards etc.
frozenwind
·2 वर्ष पहले·discuss
That probably means it was trained on synthetic data, right?
frozenwind
·2 वर्ष पहले·discuss
HN.... I have an app on my phone that's called "Hews". It's morning and everything is confusing :(
frozenwind
·2 वर्ष पहले·discuss
As I sat down at my desk to start the work day and finish a dreaded task, my mind of course immediately drifted away and felt the urge to check some news on reddit or HW. I opened HW and this is the first title.

"It can be done".

Thanks for the motivation!

P.S. Of course, I also read the article :).
frozenwind
·3 वर्ष पहले·discuss
I am disappointed your comment did not have more responses because I'm very interested in deconstructing this argument I've heard over and over again. ("it just predicts the next words in the sentence"). While explanations of how GPT-style LLMs work involve a layering of structures which encode at the first levels some understanding of syntax, grammar etc. and then as the more levels of transformers are added, eventually some contextual and logical meanings are encoded. I really want to see a developed conversation about this.

What are we humans even doing when zooming out? We're processing the current inputs to determine what best to do in the present, nearest future or even far future. Sometimes, in a more relaxed space (say a "brainstorming" meeting), we relax our prediction capabilities to the point our ideas come from a hallucination realm if no boundaries are imposed. LLMs mimic these things in the spoken language space quite well.