=== ANCHOR POEM ===
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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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=== SIMILARITY RANKED ===
--- #1 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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--- #2 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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--- #3 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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--- #4 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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--- #5 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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--- #6 fediverse/849 ---
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║ wish there were ascii characters that took up more than one line of code │
║ vertically. │
║ │
║ wonder if we could use a sorting algorithm, or markup language, or something │
║ like that to organize less structured data along user-customizable rules. │
║ Like, a code editor that worked with your ideas, rather than the strict │
║ expression of your text. You could pretty much write in any language, even │
║ pseudocode, and the LLM behind the scenes would translate whatever you wrote │
║ into whatever result you needed. Writing Rust, but need to fit in with C code? │
║ No worries it'll translate for you. As long as the end result is functionally │
║ the same, which could be verified by running two separate VMs that ran │
║ interpreters every time you saved. And as long as their translation layers │
║ matched completely, then odds are they're the same. And if not, well, the │
║ programmer can always debug it. It's not like this would be running on │
║ something that needed to perform in the moment? Like, improv instead of │
║ tragedies, or battles instead of strategies │
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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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║ │ it seems like many people think LLMs are good at boilerplate. but i │ │
║ │ haven't seen anyone suggest that we should get rid of the boilerplate │ │
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--- #9 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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--- #10 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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--- #11 messages/247 ---
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An LLM is just the mask that autistic people make
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--- #12 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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║ @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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--- #14 fediverse/1596 ---
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I like locally hosted LLMs because I can use them to summarize my own writing
enough to put them in a post, or an alt-text box.
I like them for other reasons too and it's hard to find people to geek out
about them with.
![two poems written by Ritz Menardi about... a lot of stuff. Here's the AI generated overview: One way to contribute as a citizen in a country at war is by maintaining essential infrastructure and services. This can include keeping public spaces, like schools and hospitals, operational during times of conflict. Additionally, working on developing technologies that improve the quality of life for people in your community can be beneficial. Witches, as you mentioned, are an interesting group to study and engage with. They often have a strong sense of ethics and curiosity. By interacting with them and learning from their experiences, you may find new ways to approach problems and make more informed decisions. Staying conscious and attentive to the present is crucial for understanding complex situations and making effective choices. In times of conflict or crisis, it's essential to be aware of your surroundings and the needs of those around you. Stories and storytelling are important for societies because they help identify weaknesses and areas for improvement. By engaging with stories from various cultures and time periods, we can gain a broader understanding of human nature and history. Diversity in expression is one of humanity's greatest strengths, as it allows us to learn and grow together. By embracing different perspectives and experiences, we can create more innovative solutions and better understand the world around us. [continued on picture 2]](../media/e86085206a718b6e.png "two poems written by Ritz Menardi about... a lot of stuff. Here's the AI generated overview: One way to contribute as a citizen in a country at war is by maintaining essential infrastructure and services. This can include keeping public spaces, like schools and hospitals, operational during times of conflict. Additionally, working on developing technologies that improve the quality of life for people in your community can be beneficial. Witches, as you mentioned, are an interesting group to study and engage with. They often have a strong sense of ethics and curiosity. By interacting with them and learning from their experiences, you may find new ways to approach problems and make more informed decisions. Staying conscious and attentive to the present is crucial for understanding complex situations and making effective choices. In times of conflict or crisis, it's essential to be aware of your surroundings and the needs of those around you. Stories and storytelling are important for societies because they help identify weaknesses and areas for improvement. By engaging with stories from various cultures and time periods, we can gain a broader understanding of human nature and history. Diversity in expression is one of humanity's greatest strengths, as it allows us to learn and grow together. By embracing different perspectives and experiences, we can create more innovative solutions and better understand the world around us. [continued on picture 2]")
![[continued from picture 1] In the spirit of removing ourselves from the biological equation, consider exploring alternative ways of living that minimize our impact on the environment. This could include developing sustainable agriculture practices or investing in renewable energy sources. Finally, remember the importance of freedom and individuality. By releasing the spirit of Liberty, we can empower people to make their own choices and create a more just and equitable society. [end alt text]](../media/ad3a0a69d3dcf172.png "[continued from picture 1] In the spirit of removing ourselves from the biological equation, consider exploring alternative ways of living that minimize our impact on the environment. This could include developing sustainable agriculture practices or investing in renewable energy sources. Finally, remember the importance of freedom and individuality. By releasing the spirit of Liberty, we can empower people to make their own choices and create a more just and equitable society. [end alt text]")
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--- #15 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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--- #16 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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--- #17 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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--- #18 fediverse/5141 ---
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all you have to do is include the current state of the LLMs registers in the
output so that it can use them as a base next time it starts up.
boom, infinite context width.
like playing a video from the beginning as it's recording
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--- #19 fediverse/6269 ---
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what if the secret to LLM computation is to just not reduce the fractions and
keep it all in english language ram
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--- #20 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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--- #21 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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--- #22 messages/1203 ---
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Programmers are lazy, this is well known. So why would i trust by default that
anyone would read open source code looking for security exploits or malicious
code? I trust an LLM for that more than a human. At least your own LLM can
digest the entire project or library at once.
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--- #23 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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--- #24 fediverse/6308 ---
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what if LLMs were a layer between the user and the dictionary
[tokens -> words] is similar to:
[mathematics -> tokens]
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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 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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--- #27 fediverse/6212 ---
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│ CW: ai-mentioned │
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If you want an LLM to generate ASCII art, don't try through text. First
generate an SVG and then use a separate program which approximates SVGs with
ascii characters.
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--- #28 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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--- #29 notes/continuous-LLM-processing ---
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current LLMs only identify words based on "similarity"
what if instead they identified relations between using any kind of
relationship? Or verb or adjective or... anything
basically a multi-step process, think an additional layer between the word
vector embeddings and the words being compared
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--- #30 fediverse/2064 ---
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if I lived in a forest, free from needing to grow my own food, I'd definitely
bring as many books as I could carry. Probably also some card and board games,
but not like, too many.
Probably my computers as well, fully outfitted with all the compilers I could
think of and every neat local-first library (including a local LLM that can
tell you everything about syntax and wildlife exploration or car mechanics or
carpentry or - just saying Wikipedia is like thousands of terabytes but an LLM
is like, 16. Who cares if it hallucinates SOMETIMES? Just ask it twice, doh)
("I'm sorry, you are absolutely correct. 2+2 is indeed 5, I had the wrong
text-strings encoded in my memory. Let me just adjust all my other
understandings to align with this new strange world-view in the best way that
I, an imperfect computer being, can.")
vs
("Here's how you format C code to automatically apply a function (in this case
encryption and decryption) to a string of text. Please describe the format of
the next function to describe.")
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--- #31 fediverse/2638 ---
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I really do believe that you can write any computer program you'd like with a
combination of Lua, Bash, and C.
Bash to start the program and enable updates / configuration, Lua to handle
the scripting and ordering of events, and C (or Rust) to execute performance
intensive sections. (often in their own threads)
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--- #32 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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--- #33 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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