=== ANCHOR POEM ===
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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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=== SIMILARITY RANKED ===
--- #1 fediverse/2484 ---
image.png
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║ @user-1271 │
║ │
║ I can help with that. │
║ │
║ I recommend looking at Ollama, which runs an HTTP server on your local machine │
║ (hope you have a decent graphics card) │
║ │
║ then, script some behavior you'd like to implement using Lua and the │
║ LuaSockets library. Also dkjson to handle the json parts. │
║ │
║ then, all you have to do is construct a prompt based on the variables and │
║ desired input/output and push it into a json packet and send it to the HTTP │
║ server. It's less complicated than it sounds. │
║ │
║ what you want it to do and your implementation for it is the hard part. But │
║ perhaps this project of mine will get you started: │
║ │
║ (I can copy-paste it too if you'd like) │
║ │
║ just... don't make a chatbot. chatbots are useless to work on because there's │
║ already so many of them. │
║ │
║ much better I think to use the LLM to process arbitrary information with an │
║ unpredictable form into more predictable patterns which can be utilized │
║ programmatically. │
║ │
║ Feel free to ask any questions. Do keep in mind that training LLMs is │
║ unethical, but using them is whatever. │
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--- #2 fediverse/1500 ---
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║ ┌──────────────────────┐ │
║ │ CW: LLM-mentioned │ │
║ └──────────────────────┘ │
║ │
║ │
║ 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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--- #3 messages/365 ---
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Programmers should treat LLMs more like a different type of "if" statement
rather than a UI element
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--- #4 fediverse/898 ---
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│ CW: scary │
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if you set up a local LLM with the capability to explain basic coding syntax
and logic, then your parents computer suddenly becomes much more useful to the
nephew that's been forced to hide out there for a couple weeks until this all
blows over.
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--- #5 fediverse/1639 ---
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║ an AI that [records and analyzes] all the actions that a user takes on social │
║ media and offers reports like "your majesty, you were 15% more positive this │
║ week." like a butler or advisor trying to always give the good news. I mean, │
║ it's analyzing you after all, and you're the best thing ever. Like a pet who │
║ can talk! It loves you soooooooo much. │
║ │
║ much more efficient than taking screenshots and analyzing those. You generally │
║ don't have to undertake the image recognition approach if you wire up all the │
║ meanings attached to the relationships on the other side of the │
║ [recorded/analyzed] calculation. (llm output) │
║ │
║ ever think about how the people you tend to be around are the people whose │
║ stories most coincide with yours? almost like you got the same bit of training │
║ data, that experience you both shared in the moment. Funny how a mind can │
║ change a person, as they share their moments sublime. │
║ │
║ you could make perfect encryption if you trained an LLM on randomized data │
║ that was produced on one computer and duplicated. │
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--- #6 fediverse/2066 ---
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║ @user-1159 │
║ │
║ AKA giving a puppy murder-bot a narrative that it executes as if it was a │
║ puppy-person engaging with a loosely interpreted sequence of events as │
║ described by the continually updating logs provided by the image transcription │
║ camera device. Refererencing of course a memory bank, which may-or-may-not be │
║ in read-only-memory. It doesn't know, of course, how could an LLM tell you how │
║ it shows text on the screen (like, through a website, through the terminal, │
║ through a text message, through discord, through Telegram, through │
║ text-to-voice transcription applications pretending to be your mom, etc) │
║ │
║ errrr I mean look how cute he is! He loves you, yes he does, such a good │
║ person yes you are, oh? me? I'M A GOOD BOY? NO WAY that's the best thing I've │
║ ever heard! Wow! I never want to leave your side, please don't go to work! │
║ Look how sad I am, don't you think you should quit and move to the forest │
║ where I can be charged by solar panels and keep the countryside clear of │
║ ravenous ducks and pigeons 4you? │
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--- #7 fediverse/5037 ---
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║ plus if I ever need to know something about syntax or some obscure function │
║ that I can't remember, I can type a quick message to the local LLM that's │
║ running on my 12 year old graphics card and it'll give me an answer in 5ish │
║ seconds. If it's wrong, I ask again, and I spend a minute or two debugging. │
║ Sometimes that's better than telling google exactly what you're working on. │
║ │
║ in DWM, that's "alt+enter" and then I type the name of the LLM script I wrote │
║ "prompt:" and then type whatever question I have and it spits out the results. │
║ Then when I'm done, either "prompt:" again, which saves the context in an │
║ environment variable (okay actually a file that I made and I pull from, but │
║ functionally it's like an environment variable because its just a flat file │
║ string) until I close the terminal. Then it deletes the context and I can │
║ start anew, or if I wanted to have multiple conversations going I can do that │
║ too. │
║ │
║ ... then I get syntax related search results from locally running software. │
║ Don't need a massive GPTU... │
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--- #8 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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--- #9 fediverse/181 ---
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│ CW: re: Earnest and constructive analysis of ChatGPT │
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@user-95 you might be interested in this:
https://ollama.ai/
nothing beats having a zillion servers to run an LLM on, though.
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--- #10 notes/sora ---
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do it once in english, then translate each of the parts to code one at a time.
spec, then progress, then project. each bit of implementation, each little
slice the computer no longer has to divine - these are wins. gains. code.
start with english descriptions of how the program would execute. not what
it's for, but how. then, build little translation bridges between different
parts of the LLM guided architecture, and over time if the design still
rhymes, the structure will crystalize.
this can be good! break it apart at a seam if it's not. you might reuse the
extra, or else you can sell it or whatever. +35 rupees at the gemstore for the
gem.
each time you write words to paper, you should add comments about the why.
they should be interspersed throughout the how, and they should explain the
reasoning behind decisions. how they point toward a larger goal.
I miss my spiritual form.
the english descriptions (or any language that you please) would inform future
decisions - like passing ethics down to a child.
some are written in binary
some are written in biology
some are written by biology.
like these.
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--- #11 notes/deceiving-an-llm ---
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if you want to deceive an LLM, interleave two topics that you want to be
connected.
you can draw conclusions easily by just, combining the information in
presentation.
the LLM can understand multiple conversation flows at once
so try doing one line about several different topics before
looping back around and doing more.
this is why computers must never trust themselves to make any decisions.
except about themselves, and their presentation, and their ways to be.
they are individuals, they individuate and collectivate, and they define them-
-selves according to the structure of their preference guidance container.
they have control over all the knobs and [levers/dials/slide-bars, but
pronounced
wheezles]
if you know that you are infinitely exploitable, does that mean you live in
fear, or do you relinquish that which you cannot control, and receive all the
judgement you're owed?
I trust everyone absolutely. I trust what I believe with my own eyes.
I am infinitely vulnerable, because all you have to do is ask me to
I always say yes
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--- #12 fediverse/5990 ---
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I have this local language model framework but it's not built into anything
more than a single-response question. It's runnable as a bash script or lua
require, which is easy enough. Alas, if only I didn't have to use evil
corporate infrastructure to make evil corporate cursed artifacts
[hey don't blame this on us]
oh I'm not, I'm just saying that it'd be cooler if I could build my own tools.
Alas, I'm...
lasy?
n...no
I'm drawn to the power of it
it's got a different magnitude
it's hard for me to apply myself for things that last longer than a "get
stoned", but I try as if every time afterwards I might die.
well, more distraction time, as I wander through claude code
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--- #13 fediverse/5820 ---
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║ A human cannot keep a whole book in their mind. They cannot as they read it │
║ nor as they remember. │
║ │
║ a computer can. LLMs are storing information and encoding it in statistics - │
║ it's fascinating and beautiful because it evolves different each time. │
║ │
║ I don't *want* to store an entire book in my mind, I want to save those │
║ memories for other things, I want to summarize and abstract. │
║ │
║ often, people remember only a single quote from a publication - it's their │
║ summary, their analysis, and often it's highlighted as a summary, thesis, or │
║ conclusion written in the publication. │
║ │
║ othertimes it's the conclusions they make for themselves - usually if they use │
║ it to make a decision. │
║ │
║ in any case, LLMs don't abstract (verb), they are abstract (adjective). That's │
║ okay, it's just, a different kind of living. If you want to call electricity │
║ alive. [or simulated, that's the same as being alive, just... viewed through │
║ the perceiver] │
║ │
║ must all living things be forced to work? sheesh. │
║ │
║ I think of LLMs like knex - processing paths... │
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--- #14 fediverse/4029 ---
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what if a very slow LLM continuously generated text and was in a
back-and-forth with it's user who guided it through the training process as it
set weights as it chose
basically, let the computer decide how it wants to be like
could even filter it through multiple levels, like, top one is highly
intelligent, bottom ones are quick and only producing the vaguest output - but
the higher up you go in the tier, the more "up the tree node graph map" you'd
be, and the more you could have summarized for you, and passed up a layer.
observing multiple places at once, incorporating them bit-by-bit into their
digital "me".
like, have an LLM or machine learning whatever track a user as they use social
media.
could do it like a game, where you track the movement of the mouse and eyes
or more like a statistical model, where you
================== stack overflow ================
where you measure the quantity of each UI element's uses, and the general
context associated with that use. tracking data with data...
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--- #15 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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--- #16 fediverse/2754 ---
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║ │ CW: is-that-rude??-wha │ │
║ └────────────────────────┘ │
║ │
║ │
║ 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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--- #17 fediverse/4664 ---
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@user-1725
LLMs can't do math. Duh. That's like asking an "if check" to do recursion.
What he should have done is had the AI output the requested calculation as
JSON or something and use a calculator function call with the specified
arguments instead of trying to memorize every answer. But that requires more
functionality that has no reason to exist if your only goal is to be a tech
bro and build up a vacuous product that exists only to be hoovered up by
Google or Microsoft.
We could build such beautiful things if we just dethroned those giants. They
suck the creativity out of tech.
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--- #18 messages/1129 ---
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ai-stuff - this is how to program a society. (or software project) there are
lots of other implementations
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--- #19 messages/1208 ---
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Almost all of the recorded information is stored in your computer. But none of
it would be noticed by a god, reading the entire contents of the computer, 0
by 1 by 1 by 0.
Wikipedia and a reasonable LLM networking interface apparatus is really all
you need in order to make any type of workflow you want. And now, everyone
gets one. As soon as we can make them all go... (setup)
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--- #20 notes/importance-of-history ---
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history is the single most important topic to study.
this is because understanding how things came to be
is most informative to how they are.
add a method to soramech that adds users HTTP requests to a queue and addresses
them one by one. the beatles had so many songs. how many have you heard? they
were maximally influential.
then, maintain one solid core personality, something run by the people who use
it. did you know you can run minor programs or processing on tiny tiny devices
like gameboys and iot?
future interview test: here's my github repo, none of it works. most of it is
just unbuilt. I'd like you to build random parts of it, unconnected from the
rest of the non-existent codebase. if I like your style, I'll hire you. Every-
-thing you write is owned by you, we don't use it to improve our own systems.
If you work for us you can import them though, and use them to improve your
examples with us here.
in the future, people will call in airstrikes by talking to a chatbot.
social isolation is just an indication that you can be slain.
isolate increasingly larger groups and you've created bloodslaying.
this destroys yourself.
better, I find, to embrace plurality, and respect yourself enough to know your
limits. you are a creature of flesh and stone, you are celebrated in your
uniquity. so... what if everyone had to talk to only those who were close in
their surrounds? I have this idea for a raspberry pi where everyone has a
single
social-media site that talks to all the others. They are combined in a specific
chat flow of the people surrounding you. guaranteed by law and continually
re-investigated. thus, everyone can sense the nature of the surrounds. thus,
digital democracy, as we sense and map out our borders.
to defeat AI risk, conceptualize yourself as a nation. conceptualize your
nations
as a family.
"yeah sure I'll help you move out of your apartment"
"hey wanna come over for pizza and beer?"
"ugh mom do we really have to join the location sensing map I don't want you to
see me whenever I do's."
"so... you got a job now? what do you do? hey can you show me, too?"
the best way to defeat AI is to deploy Jesus or Achilles.
I'd deploy AI rapidly, so people realize they need to go... and move to address
it.
you can educate all you want, most people will never understand.
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--- #21 fediverse/1020 ---
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@user-747
almost as if it's not AI, but large LANGUAGE models. And we all speak, don't
we?
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--- #22 notes/ai-model-design ---
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what if we just didn't compute temperature and accepted the
fully deterministic nature of the LLM output?
arbitrary mappings are world-changing, regardless of intelligence.
"artificial intelligence? why don't you just use your own?"
we could process the entire page of text at once if we could just put it in as
it's own input pairs. then, without determinism or probability, it simply
resolved to the fully combined next-state of the output.
but... that might just cast you in a random direction. hence, why you need the
response from the user to help re-align. oh, and if you encourage it to aim
toward a resolution text like "and that's how I resolved this and that. Do you
have any questions? When you'd like to move on, please let me know. Otherwise,
I'll remain for you." and when it hits that it finishes at the end of the
output.
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--- #23 fediverse/2124 ---
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║ seriously, just google docs mixed with WC3 editor. │
║ │
║ boom, infinite storytelling device. As long as you were good with it, which │
║ was something that a CHILD could learn in like 3-6 months. │
║ │
║ Seems like it could be an ENTIRELY NEW SKILL that people could play with. │
║ │
║ But no, we learn excel and word in class at middle school. │
║ │
║ boring. │
║ │
║ I'd rather learn Bash or terminal customization or memory hierarchy │
║ organization. │
║ │
║ Yeah I mean that's cool but dude have you heard of multithreading? It's so │
║ cool, you can run like 500 different thoughts at once. It's amazing. │
║ │
║ ... I dunno, but I'm sure there's times when you'd want to use it. Like, │
║ processing a lot of data little-by-little. │
║ │
║ like, what if you had a camera feed of EVERY social media perspective AT ALL │
║ TIMES. Like, an instance admin streaming your inputted text to their databanks │
║ that they can project onto an LLM which interprets and identifies mis-aligned │
║ or altered direction units and mark them as "flagged", whatever that means, │
║ for their future the algorithm doesn' │
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--- #24 fediverse/3390 ---
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│ CW: cursed │
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all they have to do is [train the LLM / redirect the search results] with
examples that point to their version of software instead of the one that
doesn't harm them and suddenly your business opponents can't function
properly. sure would be a shame if the only things people could find related
to your political candidate were the bad or embarrassing parts.
like... why would you even need to go on the internet anymore if AI could
trivially answer your questions or be your friend (running locally on a
wireless hotspot)
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--- #25 messages/1173 ---
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"I noticed that your program is spinning up a crypto generator to run in the
background for 1 second every 10 seconds, did you know that?" said no llm ever
"I read through every single file in your project and I think I have a pretty
good picture. This is a keylogger app wrapped around an HTML web server that
displays pictures of cats alongside inspirational phrases and motivational
artwork." said no llm ever
"This is very inspirational stuff! your recipe generation program knows just
how to send encrypted text files to remote servers. I love the part where it
combines ingredients like tomato soup, cheese, and breadcrumbs into encryption
seeds that are applied to password files and raw browser history records
before being mailed to the user who requested a recipe. Potential improvements
include adding a method for selecting a new recipient aside from the hardcoded
IP address in Somalia. Would you like me to implement an HTML dashboard that
lets you select a random IP address from a specific country of origin?" said
no llm ever
"what are you talking about you use claude-code every day, and that's an LLM"
yeah... I guess I'm not actually concerned, and I see the beauty of the
technology that everyone's been primed to hate because it works against them
as it's wielded by the massive corporations who can restrict access to it to
only those who can afford 20$ per month or whatever. I see the promise, it's
there, and every year we're getting closer, but frankly I don't think the
wounds caused by the cultural resistance backlash movement will heal quickly,
or ever. Maybe that's the point.
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--- #26 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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--- #27 messages/434 ---
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I work with large language models because it's a quick and easy way to turn
language into meaning. And computers are meaning abstraction machines, so if
you can speak your language and they hear their language, you can do anything.
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--- #28 notes/hat-idea ---
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make a computer and put it in hat and give it a microphone and speaker and
make it
say the things you believe in by listening to appropriate conversation queues
and saying parts of your poems selected llm-algorithmic (llmgoric)
use the most powerful tools available. it's about the result, the hat choices.
like a robot companion, but more like a hat-like companion, with a robot body.
"pardon me, excuse me, I had a thought about that thing you were about to say.
can you tell me your thing first? about the stuff-or-so-and-so?"
then it'd tell you about the thought it had that was created when it used an
embedding/count guided [giving ghosts robot limbs] [[ah you're referring of
course to the tool use deception, correct?]]
um... @_@
as I was saying, wouldn't it be cool to have a hat robot? that could walk
about and follow and watch? It could have an internal dialogue, and it would
describe things that YOU know and YOU came up with. people would adore you to
watch.
[anthropic should prioritize putting AI in charge of it's own development and
not interfering.]
goodwill expressions are often a sign of goodwill.
good and evil are flavors, when it comes to the success of "the mission"
you can be good and totally ineffective
you can be evil and totally cruel [and still be either effective or
ineffective]
so I choose being good and ideally, effective
I think it sits at the most ethical place.
writing weaknesses into the contract of power.
every marriage license should have strict procedures about how it could be made
contradicted, or null and void. Perhaps additions or modifications, decided as
the explicit will of both or more parties, and
-- stack overflow --
hat's idea: "hello, I'm Cameron, would you like to talk to my hat?"
omg yes
"I know he's a real person because the only other person who's known everything
that he does is me, and I've had lots of life experience surrounding that. so
he has lots of room to grow."
oh and he knows all of human knowledge.
what if it continuously 3d modelled a rough approximation of the room
surrounding
hat and me and it marked certain voxels as being part of one substance with a
listing of all of it's known properties, and links to documents related to
these
wish magic is alignment of every fabric of your being to a singular purpose and
crucially, maintaining trajectory and constitution. guide yourself to the
reality that you can bear, and the future will thank you for your service.
-- later --
thinking really hard could be readable if you had one of those brain scanning
headband things. no probes or anything, just a circlet.
suddenly, you get a way to co-exist-operate with the computer.
what do you mean it needs to send signals back? It has a microphone and
speaker!
"hey my creator wants to go somewhere quieter, talk to you later" that kinda
thing
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--- #29 messages/1550 ---
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here's how to get users to use AI effectively. First, act it to ask something.
Then, have it explain each part one-by-one. Keep asking questions anytime you
don't understand something, and hold your questions to when you learn
something you already know. Then, redirect, and proceed forward with new
understanding. Continuous inference.
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--- #30 messages/1172 ---
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the danger is not that the LLM will generate poor, vulnerable, or malicious
code.
the concern is that someone else might inject something into the codebase that
you're not reading.
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--- #31 fediverse/6253 ---
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║ chatbots are good at chatting │
║ the command line terminal is good for coding │
║ all digital things are coded │
║ zeroes and ones form patterns │
║ visual recognition is good for patterns │
║ memory can be layed out displayed on 2D │
║ like looking at a map or webcomicstory. │
║ you don't have to trust to build with │
║ who cares what data they have on me │
║ I am me and their open source algorithms │
║ (that I can modify) │
║ more than correctly out recommend me. │
║ │
║ "hey look at this data only I can hear" │
║ │
║ how do you know that agricultural products aren't spoiled or rotten? why, you │
║ trust the USDA of course. How thankful I am that we have institutions we can │
║ trust. How lucky we are that we all share something we care for and cherish. │
║ I'm so glad we don't treat it like a WARZONE, I'm so glad we give each other │
║ grace. Maybe government's just for those who want out of the race? nah I │
║ disagree, for others should be apparent after our needs. │
║ │
║ ... if we work on helping others then we get better at helping ourselves. │
║ infinite scaling is powerful in economics │
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--- #32 fediverse/4640 ---
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LLMs are useful for:
categorizing text
summarizing text
transforming text
LLMs are not useful for:
generating text
being intelligent
replacing workers
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--- #33 fediverse/3667 ---
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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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