True, it is just speculation. 'Any' seems to be a strong qualifier. One of the reasons I troll landscape of HN is that some of the thoughts and recommendations expressed here ended up being useful in my life. One still has to apply reason and common sense, but I would not dream of saying it has no ( any ) wisdom.

<< What made Nvidia dominant was not weak GPUs with a lot of RAM.

I assume you mean: 'not in isolation'. If so, that statement is true. AMD cards at the very least had parity with nvidia, so it clearly wasn't just a question of ram.

<< The puzzle of their success had way more pieces that made the whole package appealing over many years, and a great timing of the market also helped.

I will be honest. I am biased against nvidia so take the next paragraph for the hate speech that it is.

Nvidia got lucky. CUDA was a big bet that paid off first on crypto and now on ai. Now, we can argue how much of that bet was luck meets preparation, because the bet itself was admittedly a well educated guess.

To your point, without those two waves, nvidia would still likely be battling amd in incremental improvements so the great market timing accounts for majority of its success. I will go as far as to say that we would likely not see a rush to buy 'a100s' and 'AI accellerators' with exception of very niche applications.

<< Intel making underperforming GPUs with a lot of RAM would not guarantee the same outcome at a later time in the market with an already entrenched Nvidia and a completely different landscape.

Underperforming may be the key word here and it is a very broad brush. In what sense are they underperforming and which segment are they intended for? As for ram, it would be kinda silly in current environment to put a new card out with 8gb; I think we can agree on that at least.

<< I'm saying nobody can guarantee the claim of the GP I've replied to,

True, but it is true for just about every aspect of life so as statements go, so it is virtually meaningless as an argument. Best one can do is argue possibilities based on what we do know about the world and the models it tends to follow.

What do you think has happened so far?

Your mental model of the world may help me understanding the point you are trying to make.

I have my thoughts on the matter and cautiously welcomed their move to GPUs ( though admittedly on the basis that we -- consumers -- need more than amd/nvidia duopoly in that space; so I am not exactly unbiased ).

I will provide a concrete example. My buddy got into anime and was raving about one specific title so I checked Hulu for it, but Hulu, for some unfathomable reason starts that anime at season 4.. If I want to legally Stream season one, I would need to try the Sony owned anime thing, which I refuse to do for reasons not related to streaming wars. I ended up buying a dvd ( cheap and good enough quality for me ).

And pirates... have everything and, unless you are looking for newest releases, is of superior quality.

For example, references we put ( simpsons, star trek, you name it ), language we use ( gee whiz, yeet, gyatt) and that is used to generate an online persona tends to be something of note to our image of self - one can determine to some extent the likely generation from those

The reference itself may not automatically mean much, but it is likely that if it is present in an alias, it had an impact on a younger person ( how many of the new generation jump on an old show? so mr robot would have the exposure range of 2015 to 2019 ). If that hypothesis is true, then one can attempt to guess age if the individual given that work work, because 1) we know what year is now 2) we know when it was made, which allows for some minor inference there.

Naturally, some aliases are more elaborate than others. Some are written backwards and/or reference a popular show or popular sci-fi author. Some are anagrams ( and - I discovered today - require additional datasets to tag properly so that is another thing I will need to dig up from somewhere ). And to complicate things further, some aliases use references that are ambiguous and/or belong in more than one category ( Tesla being one of them ).

The original approach was to just throw everything into LLM and see what it comes up with, but the results were somewhat uneven so I decided to start from scratch and do normal analysis ( language, references, how digits are used and so on - it is still amazing how well that one seems to work ).

Sadly, it is still a work in progress ( I was hoping for a quick project, but I am kinda getting into it ) and I probably won't touch until next weekend since the coming week promises to be challenging.

Unfortunately, this means in your particular alias ended up as:

Alias category is_random length is_anagram generic_signal Loughla Mixed Case 0 7 FALSE FALSE

( remaining fields were empty, basically couldn't put a finger on you:D). If you can provide me with an approximate age, it would help with my testing though:D

edit: This being HN. Vast majority of references are technology related.

As for LLM replacement for talented teacher,even though I kinda worry that it would be subverted by organizations and various interests intent on stripping anything of value from LLM thus rendering LLMs role as a talented guide/teacher role largely useless, I personally found exploring new subjects even more engrossing than ( at one point in time, following down the rabbit hole of Wikipedia entries on some obscure subject ).

Part of the problem is that this thing would need to be marketed as safe, but safe is staying within rigid parameters that do not allow for a genius level individual to grow. Smart is probably a lot easier so safety features will likely not be triggered that often.

The other problem is that only some kids will take advantage of that mode. Not everyone is inclined to explore like that.

I have no real solution here. My kid is not at the age I need to worry about it yet, but I am slowly starting to plan my approach and I think tuned LLM with heavily restricted digital access will be the initial approach.

I am not aware if that exists yet, but the challenge I see with it is rather simple: you get overwhelmed with information really quickly. In other words, you would still need human somewhere in that process to review those scrapes and the quality of that varies widely. For example, even on HN it is not a given a link will be pure gold ( you still want to check if it fits your use case ).

That said, as ideas goes, it sounds like a fun weekend project.

Thank you for saying this. I briefly wondered if my particular company is just way behind or particularly dysfunctional and disorganized ( a possibility for sure ). I do agree with you observation on LLMs effectively lowering entry level skill ( yesterday I was able to dissect xml file despite it not being something I could normally do without any prep work and despite mildly unusual - I thought - formatting choices by vendor ). There was still a fair amount of back and forth for what some enthusiast would call 'perfect prompt' and interesting bugs that had to be addressed, but, having seen the daily mess at my company does not exactly make me a full blown evangelist. I see it more as a get to the wrong answer faster. That is the part that concerns me.