=== ANCHOR POEM ===
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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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=== SIMILARITY RANKED ===
--- #1 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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--- #2 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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--- #3 fediverse_boost/120 ---
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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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--- #4 fediverse/6438 ---
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why would you gatekeep content by keeping us from easily using LLMs some
people aren't technical and still need to write computer programs because
that's how you enlighten a people is empower them with new tools
"I've never heard of that programming language, but luckily I can fit all of
it's documentation in my context window."
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--- #5 messages/753 ---
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trusting the "open source community" to properly vett software is absurd
because 90% of them just... install whatever and throw libraries and
frameworks at problems until they can script their way out of whatever problem
they face.
the other 10% are focused on very specific tools that are so niche that other
people can't even understand when to *use* them much less how they work.
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--- #6 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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--- #7 fediverse/898 ---
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┌──────────────────────┐
│ CW: scary │
└──────────────────────┘
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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--- #8 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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--- #9 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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--- #10 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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--- #11 fediverse/6106 ---
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┌─────────────────────────────────────────────┐
│ CW: wild-unhinged-absurd-thoughts-mentioned │
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what if closed source computing is actually better?
computer programs should be dumb
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--- #12 fediverse/6347 ---
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│ CW: llms-mentioned │
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if you want to encrypt something from human readers, randomize the position of
all the words on the page.
an LLM can decrypt it, but a human walking past could not. Unless they had a
camera or something in their lapel, transmitting to a remote calculating
location in a system that decyphers it cyberpunk hacking style.
ah, but if it didn't have the right ~~training data~~ .claude.md file, then it
wouldn't know how to decrypt it, because you forgot to include "respond with a
marxist analysis" in the .claude.md which serves as a decryption key. Simply
analyze the rest and decide if it matches what you set out to request it for.
[you got lost at the end]
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--- #13 fediverse/5179 ---
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why don't corporations let you write code in whatever language you want? it's
trivial to run a compiler or interpreter inside of another program.
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--- #14 fediverse/4865 ---
image.png
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│ CW: computers-mentioned │
└─────────────────────────┘
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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--- #15 fediverse/6436 ---
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force computers to make code in a different style so we can tell which has
been AI written
"force" is never gonna work.
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--- #16 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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--- #17 fediverse/5619 ---
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│ CW: AI-mentioned │
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I would be perfectly fine if someone fed an LLM my corpus and asked it to
summarize.
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--- #18 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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--- #19 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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--- #20 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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--- #21 fediverse/6169 ---
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│ CW: AI-mentioned │
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AI programming be like:
"hmmm, it seems that there is an error. Let me try disabling the error and
seeing if that fixed it. Perfect! The program runs without crashing. Here's a
summary of what I accomplished:"
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--- #22 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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--- #23 fediverse/6366 ---
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║ you should never be able to consent to something you don't understand (terms │
║ and conditions) without being asked specifically if they understand (the term │
║ or condition) │
║ │
║ but people should still be able to consent to something they don't understand │
║ (terms&conditions style code of hammurabi structure) if it's similar to │
║ their prior demonstrated behavior. │
║ │
║ why don't they share terms/conditions cookies and then we don't have to fake │
║ agree every time │
║ │
║ just... abstract away the identifying characteristics. Most legal contracts │
║ have LLM-discernable characteristics. │
║ │
║ "what if she's not the answer, but instead the most alluring?" ha, so says the │
║ non-believer. │
║ │
║ what if LLMs were rated based on their success rate at producing correct │
║ results for reporting or consensus-building asks │
║ │
║ look... I don't care if AI computers violate the sanctity of the sport. The │
║ goal is to solve problems, so if someone comes to you and says "hey, you busy? │
║ can you help me with an ask?" you say "I solved it, here's how you use it: │
║ connect the │
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--- #24 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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--- #25 fediverse/2841 ---
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an LLM that locally generates content warnings automatically for posts written
by others based on your preferences
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--- #26 fediverse/5234 ---
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"don't tell a local cached offline LLM what you're looking into, instead tell
it to Google or Firefox instead."
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--- #27 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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--- #28 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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--- #29 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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--- #30 fediverse/5783 ---
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║ I think our industry should work on one project at a time │
║ │
║ "do one thing and do it well" │
║ │
║ linux users code. │
║ │
║ everyone backends ffmpeg. │
║ │
║ everyone online uses chrome. │
║ │
║ what if we just rewrote every single program and... left it without updates in │
║ a "permanently forbidden" zone │
║ │
║ ... I mean what if we wrote non-proprietary alternatives to every proprietary │
║ source of computational knowledge and then we could only patch security │
║ vulnerabilities and compatibility change-bounties [oh no now you're allowing │
║ for endless levels of abstraction [meaning, operating system package │
║ installation bloat] and distasteractions.] │
║ │
║ the futures where all is not well nearly outnumber the well. but the inverse │
║ is also true, for they are divided roughly equal fifty. balance, in all │
║ things, is the only temperate state. when balance is │
║ [changed/something/uplifted], balance is inevitable to be search-shifted. │
║ │
║ why must you die for an audience? │
║ why │
║ │
║ ... I don't really want to, but what happens happens. we'll see if it's a for │
║ sure dealing. │
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--- #31 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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--- #32 fediverse/6308 ---
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│ CW: AI-mentioned │
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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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--- #33 fediverse/4846 ---
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║ programmers already spend a ton of time as downtime. │
║ │
║ what if instead of interviewing someone they just... watched them program for │
║ like, 3 hours or so │
║ │
║ while they were thinking about a problem │
║ │
║ and like, if the person is cool, working on their own projects or whatever, │
║ then yeah hire them │
║ │
║ -- stack overflow -- │
║ │
║ I also │
║ │
║ ========================= stack overflow │
║ =============================================================================== │
║ ======================== │
║ │
║ a person thinks out loud the thoughts that their foes know. it's how you know │
║ it's not secret anymore, and it's better to keep it among allies │
║ │
║ [something like that? seems a little off] │
║ │
║ (are you really searching for edits) │
║ │
║ [that sounds pretty cool, sure why not we got a millenia] │
║ │
║ (beep boop one partial millenia later) │
║ │
║ [ah that was not a long rest. let's see, where were we when we were working on │
║ this test? oh dear, seems the biology's gone rogue, that's pretty interesting │
║ to attest. │
║ │
║ neato │
║ │
║ anyway let's wait until they figure out how water works │
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