I think the factorization trick should enable even bigger models on the 
corporate scale systems.
These systems will need to be trained how to collect training sets.  Too much 
work for humans to compile!

On May 4, 2023, at 3:39 PM, Roger Critchlow <r...@elf.org> wrote:


Didn't read Cory's blog, though I'm still laughing at the blurb for Red Team 
Blues.

But I read Geoffrey Hinton's interview with MIT Tech Review yesterday.

  
https://www.technologyreview.com/2023/05/02/1072528/geoffrey-hinton-google-why-scared-ai

It's not hype that chatgpt dazzled everyone with a model which is much smaller 
than a human brain, even though it took a fairly huge budget for OpenAI to 
build it.

And I read this posting from an anonymous googler today via hackernews.

   https://www.semianalysis.com/p/google-we-have-no-moat-and-neither

It's not hype that the open source community has rapidly figured out how to 
produce equally dazzling models with drastically smaller budgets of resources, 
and is continuing to iterate the process.

-- rec --

On Thu, May 4, 2023 at 10:11 AM Gary Schiltz 
<g...@naturesvisualarts.com<mailto:g...@naturesvisualarts.com>> wrote:
I love the graphic! I've had the misfortune of twice jumping on that roller 
coaster just before the Peak of Inflated Expectation - once for the AI 
boom/bust of the mid 1980s and once for the dotcom boom/bust of the late 1990s. 
Jumped on too late to make a killing, but didn't get too badly damaged by the 
Trough of Disillusionment either.

On Thu, May 4, 2023 at 10:34 AM Steve Smith 
<sasm...@swcp.com<mailto:sasm...@swcp.com>> wrote:

[https://miro.medium.com/v2/resize:fit:720/format:webp/1*aG2GG56d_C6DJnGzZn0d3Q.jpeg]

https://doctorow.medium.com/the-ai-hype-bubble-is-the-new-crypto-hype-bubble-74e53028631e

I *am* a fan of LLMs (not so much image generators) and blockchain (not so much 
crypto or NFTs) in their "best" uses (not that I or anyone else really knows 
what that is) in spite of my intrinsic neoLuddite affect.

Nevertheless I think Doctorow in his usual acerbic and penetrating style really 
nails it well here IMO.

I particularly appreciated his reference/quote to Emily Bender's "High on 
Supply" and "word/meaning conflation" in the sense of "don't mistake an accent 
for a personality" in the dating scene.

A lot of my own contrarian commments on this forum come from resisting what 
Doctorow introduces (to me) as "CritiHype" (attributed to Lee Vinsel)...  the 
feeling that some folks make a (a)vocation out of kneejerk criticism.   It is 
much easier to *poke* at something than to *do* something worthy of being 
*poked at*.   I appreciate that Doctorow doesn't seem to (by my fairly 
uncritical eye) engage in this much himself...  which is why I was drawn into 
this article...

I also very much appreciate his quote from Charlie Stross:

corporations are Slow AIs, autonomous artificial lifeforms that consistently do 
the wrong thing even when the people who nominally run them try to steer them 
in better directions:

https://media.ccc.de/v/34c3-9270-dude_you_broke_the_future


I could go on quoting and excerpting and commenting on his whole article and 
the myriad links/references he offers up but will curb my enthusiasm and leave 
it to the astute FriAM readers to choose how much to indulge in.   It was a 
pretty good antidote for my own AI-thusiasm driven by long chats with GPT4 
(converging on being more like long sessions wandering through Wikipedia after 
the first 100 hours of engagement).




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