=== ANCHOR POEM ===
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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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=== SIMILARITY RANKED ===
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║ │ it seems like many people think LLMs are good at boilerplate. but i │ │
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--- #2 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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--- #3 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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--- #4 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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--- #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/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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--- #7 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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--- #8 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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--- #9 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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--- #10 fediverse/4865 ---
image.png
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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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--- #11 messages/247 ---
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An LLM is just the mask that autistic people make
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--- #12 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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--- #13 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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--- #14 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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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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--- #16 fediverse/613 ---
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The reason they're pushing so hard for LLMs and AI is because they can afford
a zillion Nvidia a100s and you can't.
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--- #17 messages/891 ---
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AI is worth less if it can't learn what a human can with the same amount of
facts as a human.
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--- #18 messages/196 ---
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"okay this user requires some data that is flagged as 'potentially harmful to
the user' and their user-data suggests that they have [redacted characteristic
or demographic] in their user-data which has been flagged by corporate as
something to [benefit/harm] so let's give them the [right/wrong] information
in such a way that could [harm or benefit] them tangibly."
- internal thought process of the LLM
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--- #19 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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--- #20 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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--- #21 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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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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--- #23 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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--- #24 image/img-8894 ---
🖼 dnd-pictures-from-the-internet: lace.jpeg
--- #25 fediverse/2805 ---
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*there is no such thing as generative AI*
only statistical filtration models that align their output to whatever input
you provide according to the data they are trained to expect.
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--- #26 fediverse/6172 ---
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AI users be like:
"hello, can you solve all my problems and do all the work for me? I'll give
you relatively vague instructions in return, and maybe throw 20$ per month at
your owners if they're lucky."
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--- #27 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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--- #28 notes/my-dream-job ---
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I'm beginning to realize that AI programmer is basically my dream job
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--- #29 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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--- #30 messages/1236 ---
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true AI is when no decision or logical momentum can be explained by "... and
that value was randomly generated." -- (my opinion)
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--- #31 fediverse/6167 ---
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I can certainly see a future where programmers choose a level of abstraction
they are comfortable with, same as today, but fill in the gaps, the lower
parts, the parts they will not spend time, energy, and mental space
understanding, with AI.
I think that the role of the various people on a software team will begin to
merge. Product designers, managers, front-end versus back-end, these feel like
distinctions that will begin to fade from relevance. I think that's okay. I
think it will make us feel more powerful, will elevate workers to a higher
tier of organizational operation, and will increase the flexibility of
computation.
Why program your own software when you could use someone else's? This is the
way of the past.
Why use someone else's software when you could design your own? This is the
way of the future.
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--- #32 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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--- #33 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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