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frozenwind

95 karmajoined قبل 6 سنوات
Tell me frozen wind, where have you been, where have you walked?

Just your curious noematic entity.

comments

frozenwind
·قبل 7 أيام·discuss
The Xbox series S is very convenient for me: it fits neatly in the TV stand which is quite slim.
frozenwind
·قبل 12 شهرًا·discuss
I like this reply so much.
frozenwind
·السنة الماضية·discuss
thank you
frozenwind
·السنة الماضية·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
·قبل سنتين·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
·قبل سنتين·discuss
That probably means it was trained on synthetic data, right?
frozenwind
·قبل سنتين·discuss
HN.... I have an app on my phone that's called "Hews". It's morning and everything is confusing :(
frozenwind
·قبل سنتين·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
·قبل 3 سنوات·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.
frozenwind
·قبل 3 سنوات·discuss
2 minutes is quite fast, congrats.

I inferred this information by seeing the number of comments on HN (a relevant parameter in estimating the importance of an event imo), the time period 2009-2023 and then immediately after clicking seeing a tombstone. This took me under 2-3 seconds.

The rest of the info I wasn't going time to spend on was the motives etc. It's not the first postmortem I see, I was just curious to why by skipping all of the boilerplate. Omegle is not important to me, but I know it was quite a phenomenon .

My point was that GPT failed blatantly at inferring this same easy task.
frozenwind
·قبل 3 سنوات·discuss
I didn't want to spend time reading that wall of text, so I wanted a summarized version of it. Asked ChatGPT (4) to do it for me and it told me that Omegle is not going to close. My intuition told me otherwise, so the irony is that I spent more time than needed on this.

https://sharegpt.com/c/yhV8Hjh

Is this a sign of falling GPT quality? I think this was extremely easy to infer.