frozenwind

Perhaps there are other mechanisms at play here? What about the AMOC collapse. IF too much heat disrupts some weather patterns which are heating the northenr emisphere, that would mean an increase in the ice cover again and therefore more heat reflection again.

The Xbox series S is very convenient for me: it fits neatly in the TV stand which is quite slim.

I like this reply so much.

thank you

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.

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.

That probably means it was trained on synthetic data, right?

HN.... I have an app on my phone that's called "Hews". It's morning and everything is confusing :(

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 :).

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.

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.

Sorry but I have to ask. In what kinds of contexts did you become experienced? Is LSD in at least a gray area anywhere on earth? The country I come from that is an illegal drug, but it being a neuroplasticity enhancer is what attracted my attention. I've also read about microdosing which can enhance focus or creativity. Can it be prescribed for treating depression or other mental deficits or the approvals are not at that stage yet?

I also like the rephrased paragraph. There's a certain flow to it, I never learned or improved my skill in that area.

> The risk is more in the LLMs themselves, as whoever gets to control them gets to decide how people are going to experience the world. For the time being I might still double check all the answers I get from ChatGPT, but overtime the LLMs will get better and I'll get more lazy, thus making the LLMs the primary lens through which one views the world.

You've underlined the major risk these LLMs are for humanity. For a brief time in the history of human race, after information was democratized, most of us (at least educated people) had to use our own critical faculties to understand the world we live in. Now, that capacity will be outsourced to custom LLMs, most of them derived from other pre-trained with some ideological biases built-in. The informational Dark Ages of the technological era.

If they provide the tools to filter through the garbage, it'll probably be standardized in some way as an interface to the web. So just as HTML and its satellite technologies limit and standardize the representational aspect of information on the web, I think this AI-interface will severely limit the knowledge/wisdom aspect you can derive from information on the web. It's a hard thing to put my finger on, I hope you can understand what I'm saying.