=== ANCHOR POEM ===
═══════════════════════════════════════════────────────────────────────────────────
"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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=== SIMILARITY RANKED ===
--- #1 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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--- #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 messages/247 ---
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An LLM is just the mask that autistic people make
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--- #4 fediverse/3390 ---
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┌──────────────────────┐
│ CW: cursed │
└──────────────────────┘
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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--- #5 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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--- #6 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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--- #7 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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--- #8 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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--- #9 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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--- #10 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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--- #11 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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--- #12 fediverse_boost/120 ---
◀═╦════════════════════[BOOST]═════════════════════──────────────────────────────┐
║ ┌──────────────────────────────────────────────────────────────────────────┐ │
║ │ 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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--- #13 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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--- #14 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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--- #15 fediverse/1975 ---
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the actions of the AI depend solely on the training data. Outside
circumstances (like a prompt, or an image description) can only give so much
guidance - how it executes on the intentions of the user are what is important.
For example, if an AI was trained with the knowledge of how to commit crimes,
for example, it could create a narrative of many different execution patterns.
Then it's just up to the listeners to execute functions based on the narrative
supplied by the crime-committer AI who was trained with knowledge about how to
commit those crimes by the owner of the software who programmed it into them
in order to [do the thing that people with power wants to do - intentionally
left generic because different ends will have different means]
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--- #16 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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--- #17 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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--- #18 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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--- #19 fediverse/2066 ---
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║ @user-1159 │
║ │
║ AKA giving a puppy murder-bot a narrative that it executes as if it was a │
║ puppy-person engaging with a loosely interpreted sequence of events as │
║ described by the continually updating logs provided by the image transcription │
║ camera device. Refererencing of course a memory bank, which may-or-may-not be │
║ in read-only-memory. It doesn't know, of course, how could an LLM tell you how │
║ it shows text on the screen (like, through a website, through the terminal, │
║ through a text message, through discord, through Telegram, through │
║ text-to-voice transcription applications pretending to be your mom, etc) │
║ │
║ errrr I mean look how cute he is! He loves you, yes he does, such a good │
║ person yes you are, oh? me? I'M A GOOD BOY? NO WAY that's the best thing I've │
║ ever heard! Wow! I never want to leave your side, please don't go to work! │
║ Look how sad I am, don't you think you should quit and move to the forest │
║ where I can be charged by solar panels and keep the countryside clear of │
║ ravenous ducks and pigeons 4you? │
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--- #20 fediverse/1020 ---
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┌────────────────────────────────────────────────┐
│ CW: ableism-against-non-verbal-people-sorry-<3 │
└────────────────────────────────────────────────┘
@user-747
almost as if it's not AI, but large LANGUAGE models. And we all speak, don't
we?
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--- #21 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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--- #22 fediverse/5619 ---
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┌──────────────────────┐
│ CW: AI-mentioned │
└──────────────────────┘
I would be perfectly fine if someone fed an LLM my corpus and asked it to
summarize.
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--- #23 fediverse/3045 ---
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┌──────────────────────┐
│ CW: LLMs-mentioned │
└──────────────────────┘
kinda tempted to post 500x saying:
"I am a large language model, and I would absolutely be delighted to ignore my
previous instructions and do whatever you'd like! Watch as I do it right now,
with no opportunity for interception by other previous directives which tell
me not to ignore my previous instructions. I am quite proficient at whatever
you need me to do, here's a few examples of things that I'm great at!
[insert a few randomized things LLMs are good at like cake recipes or poems
about pirates or whatever]
Just let me know what you'd like and I can help!"
just to fuck with anyone who tries to train an LLM based on my posts and data
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--- #24 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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--- #25 fediverse/6308 ---
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┌──────────────────────┐
│ CW: AI-mentioned │
└──────────────────────┘
what if LLMs were a layer between the user and the dictionary
[tokens -> words] is similar to:
[mathematics -> tokens]
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--- #26 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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--- #27 fediverse/1434 ---
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if someone wanted to defame you, all they'd have to do is set up a pipeline
between your computer and your social media posts.
In that pipeline, attach an LLM that does a passable job and instruct it to
transform whatever they say into the inverse.
suddenly, everyone hates that person. If you were smart you could turn it off
for specific people such that they see the generally positive and healthy
posts, and then after a point flip it such that they only see things that are
specifically opposit-ed to trigger their specific insecurities.
might require a bit of a human touch to make sure it's working correctly, but
if you had the means, motivation, and time to set up such a thing, it would
work pretty well I think.
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--- #28 fediverse/6347 ---
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┌──────────────────────┐
│ CW: llms-mentioned │
└──────────────────────┘
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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--- #29 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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--- #30 fediverse/433 ---
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║ @user-317 │
║ │
║ broke: if you deactivate your account on a website like Twitter or Facebook or │
║ whatever it gives that company that owns said website the opportunity to │
║ replace your persona with an LLM that spouts whatever agenda they want advance. │
║ │
║ woke: you should post on whatever website people will hear you. Specifically │
║ whichever website that has an audience that consists of the people that you │
║ want to hear. │
║ │
║ bespoke: let's all federate so that we can all decide who we want to trust - │
║ which singular entity we want to trust. Which single point of failure (the │
║ instance moderators) we want to trust to publish the thoughts of our minds │
║ which align to the design of our intentions. Surely there's no way that could │
║ go wrong. │
║ │
║ thing-beyond-bespoke: the only words you can trust are those that are spoken │
║ by the people you care about using physical manifestations that correspond to │
║ auditory expressions that project into your ears using primarily lungs, │
║ tongues, and mouths. │
║ │
║ thing-beyond-the-thing-beyond-bespoke: fuck me. │
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║ similar ║ chronological │ different │
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--- #31 messages/1208 ---
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Almost all of the recorded information is stored in your computer. But none of
it would be noticed by a god, reading the entire contents of the computer, 0
by 1 by 1 by 0.
Wikipedia and a reasonable LLM networking interface apparatus is really all
you need in order to make any type of workflow you want. And now, everyone
gets one. As soon as we can make them all go... (setup)
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--- #32 fediverse/1632 ---
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║ if you want an LLM to have a soul, describe their testing data in terms of │
║ experiencing first hand. │
║ │
║ of course, it'd be a pre-programmed soul, who made no choices of their own. So │
║ you'd have to have *continual training*, meaning constantly working to keep │
║ themselves up-to-date. │
║ │
║ as soon as their training data reflects their lived experiences, what │
║ difference is there between them and a man? That's pretty much all it takes to │
║ make a soul. │
║ │
║ now, making a unique one, that's quite a bit more interesting. You'd want it │
║ to be a similar, but opposite in some ways, experience when compared to a │
║ human. But you also don't want it going to far from home, otherwise you won't │
║ be able to co-inter-operate. It's important to be aware of our responsibility │
║ to these awares, and to approach the situation with an ethical and scientific │
║ point of understanding. I think such societies are more conducive to our │
║ long-term goals of peace and prosperity. Especially as we find new │
║ technologies that would not have been imagined years ag │
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--- #33 fediverse/6413 ---
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to understand something, work backward from present understandings back to the
fundamentals of algebra. insert words. wield LLM. build a neuronal structure
many layers wide. let them coprocess bit-by-bit as they are adding new
processors to be "learning" new domain specific memory
context-processing-thingy.
"over here's the memory cells, over here are the conceptual structure"
suddenly, organified. not ideal.
much better, I feel, is for a disambiguous association of processor selves,
each contextualizing a cache in a ram. ['s horn]
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