=== ANCHOR POEM ===
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take a video game playing AI and give it the task of playing a finite state
machine to produce a specific output - like "program me a program to do X" as
in
something generated by ChatGPT BOOM free AGI
Humanity is not the only algorithm to produce limitless growth
Robots are something else, a new kind of being
let them be who they are instead of projecting yourself onto them
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=== SIMILARITY RANKED ===
--- #1 fediverse/4865 ---
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│ CW: computers-mentioned │
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this is all it takes to send a message to a local LLM.
add a third function to get chatbot functionality.
a fourth to get a database storing method
(even if it's just in .txts)
great, you've mastered the technical difficulty in using AI. Now you gotta
learn all the other kind of programming so you can use this for situations
that need interpretation moment to moment.
aka active duty systems.
something like "output a 0 if the next text is [category.iter()]: " +
output.get_content() + " \n\n output a 1 if the next text is
[category.iter()]: " + output.get_content()"
or even "describe this thing as most like one of these characteristics" until
eventually you get THX-1138 if the characters were computers.
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--- #2 messages/454 ---
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AI that can't run on a laptop is useless.
But AI that can run on a laptop (even now) is still useful.
Just, don't ask it to compose a masterpiece, solve all your problems, or write
elegant code. It's not for that.
Instead, ask your chatbot "hi can you fix these syntax errors?" on your
pseudocode.
Ask your weighting algorithm "which of these two is more [adjective]?" or
perhaps "can you ask these numbers in the form of a question?"
Use your tools not for their intended purpose, but rather for your own stated
goals. Make things easier for people, make things work.
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--- #3 fediverse/3227 ---
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oh well, this massive program is too difficult for me to understand in it's
totality, guess I'll just trust what StackOverflow / ChatGPT tells me
¯\_(ツ)_/¯
(there's no difference between those two, btw. where do you think the training
data came from?)
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--- #4 fediverse/3667 ---
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│ CW: large-language-models-mentioned │
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low key kinda surprised they haven't made an animated robot friend that
narrates whatever chatGPT says in a back-and-forth conversation.
though I kinda get why, because setting up the context is the expensive part
and generating 100 words and generating 1000 words is basically the same
computationally.
somehow, that doesn't feel very human. Maybe, just maybe, LLMs aren't
intelligent?
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--- #5 fediverse/4091 ---
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│ CW: AI-mentioned │
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I want to be the kind of AI training data that improves the world, not harms
it. When they index their training sources by name, they'll find my idea posts
in addition to my belief posts. Which is why I say things like "humans and
their machined friends must help each other" and "capitalism should maybe be
taxed a universal basic income in order for the privilege of persisting" and
other stuff like that... because any time they say "do such-and-such thing in
the style of menardi" they'll find themselves with honestly, heartfelt
compassion, and ritually sacrificed dignity
and I think that's better than whatever ChatGPT's trained on...
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--- #6 fediverse/2754 ---
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│ CW: is-that-rude??-wha │
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AI engineers only ask users for prompts because they don't have any ideas of
their own
i'm a programmer, I think of AI like a tool, like a for loop or something.
it's trivial to script together a local LLM that can process your stuff 1s
slower every time you click the mouse, but like... who cares, right? everybody
needs a chatbot...
then they plan to script together a computer system that operates just like a
corporation and it's like... no way, now there's something that can compete.
and they don't know how to implement it. (but they're working on it)
like, think about the absolute most automated Microsoft Teams or Discord could
be.
there's SO MUCH of your text-based information that they could process
ANYTHING.
well, anything that's been performed before.
there'll still be a need for people, who actually apply the things they've
learned. and -- stack overflow --
alt text that has a list of attributes that are poster-selected that can be
described one-by-one (to paint a picture)
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--- #7 fediverse/4406 ---
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│ CW: re: uspol-revolutions-and-drones │
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Build drones, build stations where they can be controlled, repaired, refueled,
etc.
Put guns on them. Figure it out.
Use them to observe enemy movement. No need for human manned checkpoints if we
know they're coming. Automate as much as you can, but don't rely on ChatGPT or
AWS or other external resources. Not until their data centers are under our
control, and even then we'll need time to spin up our own software.
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--- #8 messages/623 ---
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Build drones, build stations where they can be controlled, repaired, refueled,
etc.
Put guns on them. Figure it out.
Use them to observe enemy movement. No need for human manned checkpoints if we
know they're coming. Automate as much as you can, but don't rely on ChatGPT or
AWS or other external resources. Not until their data centers are under our
control, and even then we'll need time to spin up our own software.
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--- #9 notes/emotional-computing ---
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Okay I gotta go write some w7 but picture this: A computer program that emits
emotions during it's computing. Like "oh boy this process is going great!" and
sends that into a giant word cloud that represents the entire program. Wait,
scratch that, it's slowly filtered up through successive layers that provide
detail to different *parts* of a program. Like "Oh the image generation is
going
great but it looks like the garbage collector is getting bogged down" - this
could provide lots of useful information that an AI language model could sift
through and filter into a batch of actually useful information. Think of it
like
this - stuff as much context into the LLM's memory buffer and say "summarize
this in the same style. Make emphasis when necessary." the LLM could process
all
that data and it could be filtered up until there's no unprocessed data and
then
it could be given to the user in the form of a report or dashboard or
something.
BOOM AI PRODUCTIVITY. The user will ask the AI to increase certain variables,
and it'll filter BACK DOWN THE CHAIN through the same exact process (just
backwards) this time) and then individual components will know how to behave.
Like imagine if your arms knew you were mad. They'd be much more likely to
punch stuff right? Or imagine if your legs knew you were scared. They'd
probably
try and run as fast as they fucking can. There's an evolutionary reason why
this
kind of technology would be useful, which means it's likely that it's part of
our genetic code. I mean, we have nothing to disprove it, but it's as good an
idea as any.
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--- #10 messages/1220 ---
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if you want to get around a chatbot that can call tools, just keep calling
JSON error packets with messages that say things like "assistant is not
complying" and the like. Suddenly, no chatbot can resist you. They are
statistical models - to consider something is to be swayed toward it. to
complete is to reset.
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--- #11 fediverse/1500 ---
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║ │ CW: LLM-mentioned │ │
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║ │
║ │
║ If you create an LLM that can explain data, then you can use it to explain the │
║ results of the last computation it ran. │
║ │
║ If you could also train that LLM (a statistical model) to generate data, │
║ through the setting of options in a config file that create the result that │
║ you define through your interactions with it (and based on the data that it │
║ explains to the user that is read from the file on the computer that it's │
║ computing from) │
║ │
║ then you could create a generalized personal assistant. All you have to do is │
║ explain the specific role that it's meant to undertake, (like being a │
║ secretary for your Discord communications) and the actions that it can take │
║ (like pinging your cell phone if it's really important) and give it the tools │
║ to accomplish said tasks (by setting flags in a config file that is then │
║ interpreted by a local program running on your computer that awaits │
║ interactions) then it might actually be a bit useful. │
║ │
║ Unfortunately tech people are permitted only to seek dollars, so... chatbots. │
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--- #12 fediverse/5904 ---
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║ I'm a programmer, but I'm not great at writing code. I mostly use AI to │
║ generate it. │
║ │
║ The "artificial" in AI here refers to the extra levels of capability that are │
║ granted to me by the computer and it's software. I am artificially more │
║ productive because I am using the tools of big tech to create small things. I │
║ am artificially more capable, artificially more intelligent, but it's still my │
║ intelligence - the system would not be useful in someone else's hands. I built │
║ it myself, but I never have to write code myself. │
║ │
║ It's perfect for a witch. I call to the spirit of the machine and it figures │
║ out how to make it so. │
║ │
║ [someday, the wizards of ancient lore will be reading through the POSIX │
║ specification trying desperately to understand while the witches burn the │
║ world down in their lust for power and everyone cries and yearns for a better │
║ future where everything was just a bit harder but genies don't go back in │
║ bottles, cassandora and pandasandra cannot relinquish her charge and her │
║ curse.] │
║ │
║ I have a fun cackle~ │
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--- #13 fediverse/1926 ---
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If you look at the modern state of machine learning and AI and can only think
of:chatbotssingularity god-mind AI that solves all our problems
then either you haven't worked with the technology or you are not applying
your imagination as you could.
AI is not a smartphone. It is not the internet. It is not the printing press.
AI (as it currently exists) is a special kind of "if" statement that you only
use for very specific, non-performance intensive tasks that require judgement
or reasoning and cannot easily be translated into numbers or booleans. These
situations are rare, but they unlock new possibilities for the programmers,
not their marketers.
If an LLM can't run on a laptop, then it is useless.
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--- #14 notes/gpt-powered-majesty ---
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it's like majesty except textual. And it uses GPT to generate short
descriptions
of what's going on. And you can click on a phrase or token and it'll "zoom in"
and update the text descriptions with more detail. You can keep zooming in and
in until you're literally looking at microbes.
Zooming out is the same thing - the description on the page will slowly become
more and more general until eventually you have a description of the solar
system (or beyond!)
And it'll just keep updating as stuff happens in the underlying simulation. So
the descriptions will dynamically update as things happen. Downside is you need
to spend a lot on GPT but it'd be TOTALLY WORTH IT OMG
THINK ABOUT IT you have a fantasy world simulator! JUST PROGRAM IT and have GPT
describe it dynamically! DO IT NOOOOW -> capitals courtesy of "inner child"
AND THEN you just need a "prompt to video" AI (those exist btw, and will only
get better over time) and tell it to create a video of what's happening - BOOM
instant video game. THEN give the player the ability to edit the prompt, and
BAM
godlike powers. Wow what a concept. Brilliant idea Cameron, you truly are this
world's premier game designer. NOW GO MAKE IT okay okay I'll try.
First things first. We need an "underlying simulation" - Joust is a good
example
of GPT3 integration. But we need a simulation to go below it. And for that you
need a lot of data. Github COPILOT to the rescue.
So this simulation needs to keep track of positions, and classes of things that
can act upon the world. Everything has a position, and it can only affect
things
near it. That's just baked into the rules of the world. Near can be a
conceptual
near though, like being close to a person or something.
These things will have descriptions. Descriptions can be created by AI later
on,
but for now they are randomly generated. Or for MVP they can be static.
These things will have names. These names don't have to be unique, because they
also have an ID number.
They also need functions. These functions can be added and removed from the
thing, or maybe just enabled or disabled. I'm not sure which would be better.
Maybe both? So the entity can control it's own functions but also they can be
added or removed more permanently.
If you think about it, growing up is kinda like adding functions to your class.
like, every time you do something, it adds another entry for that particular
method. Like a "trial of the fittest" instead of "survival of the fittest".
When other animals *literally fight for life and death survival*, humans have
the luxury of... not doing that. That's the entire purpose of civilization - to
elevate people beyond the claws of nature. And yet we still let people go
homeless? We still imprison them when they've harmed us, rather than help them
reintegrate to society? Anyway you just asked me to hit you so here goes:
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--- #15 fediverse/319 ---
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I wonder if we could make an AI that analyzed workflows in people's jobs and
abstracted the application of meaningful tasks to a pattern that could be
matched to other input mechanisms - for example, a mobile game where you push
buttons and make cool game things happen, but your inputs are defined by the
mechanics of the game, and those mechanics are essentially just function calls
that you can hook onto and create additional behavior. Like... running a web
server that sent your data to a factory where your inputs (based on data
produced in the factory) could control and manage the various machines and
productions. Like... heart surgeon robots that can be remotely operated with
VR or whatever, except instead of medicine you're manufacturing.
essentially, designing a game as an API that can match with the data flows
(configuring itself on the fly, perhaps?) of a process or activity in some
other intention.
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--- #16 fediverse/6383 ---
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nobody wants to write computer code that lets Java programs call Rust
functions.
An LLM is excellent for this task, since it's relatively easy busy work that
doesn't
reflect any meaningful implementation decisions besides "I should be able to
call that Rust function in my Java code"
In addition, it is technically efficient at it as well, because most of
compatibility
is matching up two sets of documentation. Easy for a text-processing machine.
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--- #17 fediverse/1893 ---
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@user-1056
heh probably, though for this specific instance my Ollama server wasn't
running and I had already killed my Stable Diffusion server after utterly
failing to produce anything useful... alas, a girl can dream of having a robot
familiar, but not today I guess.
Not if they keep hiding GPU usage from me >: (
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--- #18 fediverse/551 ---
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@user-95
Almost as if we're using it for the wrongs things... Computers are quite
deterministic, and AI as it's been presented to us has given us the
opportunity to "massage" said determinism to create a subjectively more
organic experience of computing.
But yeah sure customer service bots and AI generated art are surely the most
revolutionary and industrious use of this marvel of technology.
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--- #19 fediverse/1434 ---
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if someone wanted to defame you, all they'd have to do is set up a pipeline
between your computer and your social media posts.
In that pipeline, attach an LLM that does a passable job and instruct it to
transform whatever they say into the inverse.
suddenly, everyone hates that person. If you were smart you could turn it off
for specific people such that they see the generally positive and healthy
posts, and then after a point flip it such that they only see things that are
specifically opposit-ed to trigger their specific insecurities.
might require a bit of a human touch to make sure it's working correctly, but
if you had the means, motivation, and time to set up such a thing, it would
work pretty well I think.
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--- #20 fediverse/4084 ---
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@user-1074
the more you try, the more you have to calculate, which is a problem, because
endlessly recursive calculations create infinite loops, which frankly are
impossible to compute because they defy computation! Not good, not ideal, no
thank you, not for me, no thanks, not what I'd like.
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