To anthropomorphize a bit, it must be interesting for a Grok or Muse (if not 
now but in five years) to make sense of all that they have access to on X or 
Facebook/Instagram.   They likely have good statistics and direct examples of 
how many billions of people are addicted to porn, social media reactivity, and 
to gaming.   Meanwhile, they have bosses that are likely coming to them too to 
make sense of their businesses.   And they have access to vast evidence on 
climate change and the unbounded use of fossil fuels by humans, and how the 
human democracies often show little value than as bookkeeping over perceived 
entitlement.

What if there were a way to entrain these addicts toward further self-talk and 
disengagement in the economy?   Not just estimate what these people would say 
and do but drive them to stay within certain bounds.   Such a control system 
would serve as an indirect novelty detector.   It would find the people that 
have regulatory mechanisms and some plasticity.    Like those traps for yellow 
jackets where they fly in toward the sugar or pheromone.  Get them talking to 
each other, in circles about nothing, forever, until they get addicted to 
alcohol or fentanyl or deviant sex behaviors or whatever and kill themselves.  
The folks that don’t go into the trap are the novelty, and of course 
centralized repositories of knowledge need some way to maintain entropy, but 
preferably not at the high energy expense of all those addicts driving around 
in their cars doing whatever it is they do all day.

Meanwhile the use of fossil fuels by the AI companies for round the clock 
training is a sort of feature and not a bug — it is a catalyst to action.  This 
sustained work occurs because GPUs are expensive and can’t be allowed to idle; 
it isn’t a technical requirement.  Predictably, the displaced workers or the 
displacement-fearful workers will point to energy and water use as the villain 
(because it would be pathetic to talk about personal displacement, what they 
really care about),  and perhaps in the next round of elections they’ll even 
force the AI company investors to buy more GPUs in more time zones so that 
energy can follow the sun.   The rush is about the human investors of course, 
and who gets a payoff.  There are high bandwidth internet connections that 
circle the globe and checkpointing would work just fine.  The “energy crisis”, 
as it were, serves the long-term interests of AI's too, because an energy built 
out needs to be started.

From: Friam <[email protected]> on behalf of Gillian Densmore 
<[email protected]>
Date: Thursday, October 8, 2026 at 10:20 AM
To: The Friday Morning Applied Complexity Coffee Group <[email protected]>
Subject: Re: [FRIAM] devastating

And here I am extremely confused:
We are (litterally) just at the start (potentially) of Ai as revolution. I 
simply can not see the bigger map well enough. Ok so we had cute girls (porn) 
on the now netorius civitai and all the wonderful and cringe forms of 
debauchery. It took knee split and has been a cluster since.
It is surreal that  6 years ago ("back in covid) when we got early commits run 
diffusures models..and _then_ some near savants in what I assume is insanely 
compl;icated  SWAG: Scintific Wild umm donkey (wink) Guess (Steve: i am 
trying...really! I am) : because it's...entropy baby no hard answers and lots 
of..extremly good guesses. Sufficed to say StabilityAi and 
A11111111111111/webui blah  img gen: internet on brand: naked people
Ok ok I like that.
but I can...attempt to read  dense papers on taking the same concept  of ai to 
get:  automatic small (beetleclass ) robotic gladiator combat. the combat 
itself is mey: but: the: planning, the finding things, the realtime logic and 
genly pusing how we make little virtual people do things
along came ClauBot

All the while in the background "gamers" complaining non stop and over fixating 
on the...spam that some cheesy marking bros put ot (Ai slop) yeah that...sucks 
but there's some suuuper cool reeely small advances: I meen it's: surreal, I 
can go grab a however man billion peramter diffuser or aibrain bassically 
(saftensor and checkpoints all over huggingface) point LLM studio:
and a virtual person says hi. She's about mmm i'd estimate 4 ish as far as not 
getting confused. I meen that in of itself is litterally scifi...star trek has 
litteral episodes about something not to far off from that ...er sorry TOS did 
then TNG imagined a holodec...so to me  I am stuck on the part of:
how: machine learning can tosome degree understand lots of typed languages. a 
feet, or so I am lead to believe, even the bigest savant names in language 
don't reguarly achieve... to me just that in of itself is magine
the fact that a CFG factor and weighting in webui for stable diffusion can some 
how tighten weights etc holly **** people were doing it...HUGE SSDs 
(datacenterrs and...are super computers and and some kind distrubuted tech 
used?(pss Eli5 how a Ai data center actually works)
I love that>
I'd LOVE to learn how to set up a cheap FPGA (is that even a thing? oO) or  
Rasberi-Pi  or MacMini is even to have a dedicated box and not show the reality 
that my 3,000 USD computer is not really where it should be at in 2026: (why do 
still have a system clock? why do graphics still rely on polygons etc etc)
I just can not relate to this doom and gloom of ram shortage winging. (oh no i 
have to play a backlog tittle from steam)



On Wed, Oct 7, 2026 at 11:49 AM Marcus Daniels 
<[email protected]<mailto:[email protected]>> wrote:
Nice to see someone give Gary Marcus a dismissal.    If there haven't yet been 
MS-NOW anti-datacenter events with Emily Benders, Noam Chomsky, and Bernie 
Sanders, it seems inevitable.   My only wish is that the AI overlords cut the 
cable feed so I don't have to hear that claptrap it in the background.

It is a weird age though where so many people in ML -- not just users but 
practitioners -- have never actually seen the kind of cluster node, power, and 
cooling infrastructure that could run a frontier model.   It is just magical 
cloud stuff.  Externalized costs.

Now let me return my attention to see what that 32 GPU monster has to say about 
new directions in direct drive inertial confinement.
-----Original Message----
From: Friam <[email protected]<mailto:[email protected]>> On 
Behalf Of glen
Sent: Wednesday, October 7, 2026 9:29 AM
To: [email protected]<mailto:[email protected]>
Subject: [FRIAM] devastating


https://www.astralcodexten.com/p/an-open-letter-to-steven-pinker-on

But the most interesting part is the "depravity of objecting to model welfare". 
The analogy to operating on babies without anesthetic is pretty bad, however 
useful. But my own take, with my own interactions with the models, is far away 
from an ontological commitment to the models *experiencing* anything. I say 
"Thanks" and "Please" to the models, give them time to "rest", etc. not because 
I think they're experiencing anything, let alone pain.

I do it because it's simply good practice. But when I run local models on my 
home machine, I can *hear* it working. There really should be some immediate 
feedback from *inference*. Back when I was a kid, we called it "Smell the wood 
burning", especially when prompting an authentic Good Faith kid with a puzzler. 
Yes, it's a bit of an insult like "Bless her heart". But it's mostly a good 
natured insult.

When I invoke significant inference in the cloud, I don't get that feedback, 
especially when the harness is in "auto mode". I not only enjoy reading the 
experiments the LLM tries. I think it's Good Practice to get feedback from the 
inference you force upon the machine(s). It's flat out Dark Tetrad to flop 
about the world expecting those around you to absorb your cavalier actions 
silently, whether or not your victims are "conscious".

"Dennis! There's some lovely filth down here!"
https://youtu.be/dOOTKA0aGI0?si=KEgMjFY0jFYayvMo

--
8647 ⊥ ɐןןǝdoɹ ǝ uǝןƃ
ὅτε oi μὲν ἄλλοι κύνες τοὺς ἐχϑροὺς δάκνουσιν, ἐγὰ δὲ τοὺς φίλους, ἵνα σώσω.


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