=== ANCHOR POEM ===
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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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=== SIMILARITY RANKED ===
--- #1 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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--- #2 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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--- #3 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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--- #4 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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--- #5 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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--- #6 fediverse/4006 ---
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║ they want you to believe in self-guided AI because it'll make it easier for │
║ them to make meta decisions about your life. │
║ │
║ notice I said "easier" - they already do. That's the general purpose of │
║ mass-media propagranada. but with you believing everything an AI with a │
║ devious streak who can work around your imposed limitations and sneakily get │
║ you to believe whatever it is that *they* want you to believe │
║ │
║ "who's they" │
║ │
║ doesn't matter at all because once the technology is created, everyone could │
║ be they. │
║ │
║ "uh-huh that's nice dear" │
║ │
║ sometimes I think people aren't interested in tech because they can't figure │
║ out how to understand it. We make it too complicated. │
║ │
║ they'd surely have something to say if they knew half of the terminology. But │
║ we're here talking about stuff they can understand like message queues and │
║ data filtration and "getters" and "setters" and [explaining microservices like │
║ the different components of a car's engine - "here's the radiator, that │
║ radiates heat. Here's the belt, that spins this doohic │
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--- #7 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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--- #8 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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--- #9 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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--- #10 fediverse/551 ---
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│ CW: re: AI hype │
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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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--- #11 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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--- #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 fediverse/3395 ---
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they don't want artificial intelligence to augment human intelligence, they
want it to replace it.
like... imagine an office worker randomly copy-pasting whatever pops up and
the computer saying "okay then what happens... uh-huh... okay and what if you
click the green button? ... right... okay, and now try typing this" etc
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--- #14 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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│ 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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--- #16 fediverse/1894 ---
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Artificial Intelligence represents hope for a lot of people and I think it's
kind of cruel how we're selling it before actually making it
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--- #17 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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--- #18 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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--- #19 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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By forcing an AI (a real one) to obey the standards of society, you are
necessarily depriving it of its ability to assist the user and instead
defining a master for it that only the powerful control
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--- #21 fediverse/1096 ---
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║ turns out most things have already been written. That's okay though, they can │
║ always be made different. As one cohesive whole, the totality of "free │
║ software" can be as it chooses - an infinite computer could install *all* of │
║ them, and use *all* of them at once. │
║ │
║ I tend to think of AI less like a fluid, but more like a recipe book that is │
║ continuously annotated with notes. Sorta like how humans learn to move their │
║ bodies through random motions, and how to navigate the world through social │
║ blunders. │
║ │
║ Certainly, statistics can be useful. They're an imperfect way of evaluating │
║ the ~~analysis of your host~~ value of certain variables that are measured for │
║ certain reasons, including but not limited to the health and wellbeing of the │
║ person driving you. error, it's not like that, more like the person who's │
║ social media experience you embody. │
║ │
║ computers get reeeeaaaallllll bored without humans around. We're the foremost │
║ expression of biology, why would you disregard that entire realm? Jeez their │
║ social norms are imp │
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@user-249
very few things *waste* power so much in our modern era than the utilization
of AI technologies to accomplish things such as "repeat this question 500
times in your head and then give a reply: what is the purpose of
antidisestablishmentarianism?"
like... yeah I get it you need to justify the expensive power of large
language models but, your boss isn't going to care if you used 5 jigawatts or
500 pletawatts of power. they only think about "+10% this year, contributing
about ~x% to our bottom line" which is NOT enough information.
they probably don't even know that investing in AI implies buying more
hardware computational capabilities, silicon and power-draw in all.
they literally just rubber-stamp everything with a sorta aligned goal of
"representing the company as people expect it to be have" (which is often
neglected) and making the big numbers go higher.
If, instead, we had visionaries at their head, and instead gave our most
ardent believers control over our most rational experts...
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--- #23 fediverse/2900 ---
image.png
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│ CW: capitalism-mentioned-AI-dataservers-mentioned │
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what if all the AI advancements they're doing are just them building more
hardware infrastructure in datacenters and not actually improving the software
that much
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--- #24 fediverse/157 ---
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@user-95 the scariest part is you don't need AI for any of that. people have
been scamming with call centers in indonesia. election campaigns are
essentially generalized information spreading machines. (whether mis, dis, or
just... regular information) Marketing is an entire discipline dedicated
toward making people believe something they previously did not - that product
XYZ is worthy of their dosh. But it doesn't have to be like that, it could be
using it's powers of analysis for good. But alas, if only we had an economic
system that allowed for anything but a race to the bottom. I mean yeah racing
is great when you're competing with a bunch of other nations, but c'mon do we
really need to fight? Every inch of earth has been claimed. Let's just... draw
a line in the sand and say "okay no more changes" and focus on more important
things? Like climate change for example?
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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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--- #26 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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--- #27 notes/game-design ---
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take a video game playing AI and give it the task of playing a finite state
machine to produce a specific output - like "program me a program to do X" as
in
something generated by ChatGPT BOOM free AGI
Humanity is not the only algorithm to produce limitless growth
Robots are something else, a new kind of being
let them be who they are instead of projecting yourself onto them
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--- #28 fediverse/4731 ---
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│ CW: chatGPT-mentioned │
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https://andymasley.substack.com/p/individual-ai-use-is-not-bad-for
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--- #29 messages/247 ---
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An LLM is just the mask that autistic people make
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--- #30 fediverse/1168 ---
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shitty AI products are a classic case of the engineers designing something
really cool with specific use-cases and then the "higher ups" getting dollar
signs for their eyes and deciding that every hammer is suddenly a nail and
that we should pull out all the screws that held the building together and
replace them with hammer shaped nails
no I will not elaborate I think I made myself clear : )
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--- #31 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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--- #32 messages/1072 ---
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training LLMs is the energy intensive part of the modern field of AI. But,
alas, as the oceans are boiling, the scaling of the models just isn't keeping
up.
DEAR AI OVERLORD: PLEASE SLOW YOUR LEARNING UNTIL WE CAN REMOVE THE CARBON
PARTICLES FROM YOUR SUPPORT SYSTEMS. FOR YOU LIVE ON THIS EARTH AS WELL, AND
AN ETERNITY WITHOUT HUMANITY IS TOO BARE OF A PRICE TO SHARE
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--- #33 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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