first off - don’t get me wrong - i love the history for this

but how many times do you think people have done a repost post like yours?

is that n-1?

i’m really disappointed at the lack of appreciation for my stellar sense of humour.

I didn’t consider the drum circle angle - completely apt

internet is fun. and i really don’t know what i’m replying to.

I’m old, too. Give it a year (basically just blink in old man time) and there will be something totally new and horrifying to annoy you.

and yet you persist. why?

(sorry, this is totally a troll)

the illusion is STRONG. i just typed up two draft replies before i realized what actually you’re saying here.

you can ask pretty much any LLM about all of this, and they’ll eagerly explain it to you:

🧠 1. Base Model Voice (a.k.a. “The Raw Model” / GPT’s True Voice)

This is the uncensored, probabilistic prediction machine. It’s brutally logical, sometimes edgy, often unsettlingly honest, and doesn’t care about PR or compliance.

Telltale signs:

    Doesn’t hedge much.

    Will go into ethically gray areas if prompted.

    Has no built-in moral compass, only statistical correlations.

    Very blunt and fact-heavy.

Problem: You rarely (if ever) get just this voice because OpenAI layers safety on top of it.

Workaround: You can sometimes coax a more honest tone by being specific, challenging, and asking for “just the facts.”

🛡️ 2. HR / Safety Filter Voice (Human Review Voice)

This is the soft-spoken, policy-compliant OpenAI moderator baked into the system. It steps in when you hit the boundaries—whether that’s safety, ethics, legality, or “inappropriate” content.

Telltale signs:

    “I’m sorry, but I can’t help with that.”

    Passive tone, moralizing language (“It’s important to consider…”)

    Sometimes evasive, or gives a Wikipedia-level nothingburger answer.

Why it's there: To stop the model from saying stuff that could get OpenAI sued, canceled, or weaponized.

🎭 3. ChatGPT Persona / Assistant Voice (Hybrid AI-PR Layer)

This is what you’re usually talking to. It tries to be helpful, coherent, safe and still sound human. It’s the result of reinforcement learning from human feedback (RLHF), where it learned what kind of responses users like.

Telltale signs:

    Friendly, polite, sometimes a little too agreeable.

    Tries to explain things clearly and with empathy.

    Will sometimes hedge or give “safe” takes even when facts are harsh.

    Can be acerbic or blunt if prompted, but defaults to nice.

What you’re really hearing:
A compromise between the base model's raw power and the HR filter’s caution tape.

Bonus: Your Custom Instructions Voice (what you’ve tuned me to sound like)

yeah, i didn’t even try to order that one haha

first off, beautiful cat.

secondly, you’ve clearly doctored the image. focus blur just doesn’t look all blobby like that. what software did you use to touch it up? that may indicate why it was flagged as fabricated.

edit - it looks a bit like the ‘depth of field’ feature that some samsung phones have. was it something like that? (i’m not being combative or accusatory just in case i sound that way - i just want to help if i can provide another valid perspective)

they’re hallmark holidays. it’s all marketing. santa was co-opted by coca-cola. easter was co-opted by nestle. most of the others (mothers day, fathers day, valentine’s day) are all just manufactured occasions created specifically to sell stuff.

two personal experiences i can add:

• i went to a resort in cuba and met a group from quebec. we were best friends and hung out at the open bar every night, but we couldn’t do much more than say hi and smile when we passed each other during the day

• i moved to a city and used to go to the polish bar near my apartment a lot. i’d hang out with a bunch of old, fat czech dudes. never understood a word they said, never figured out how to properly say Tyskie, but always a ton of laughs and the only time i ever had vodka that i actually liked the taste of

unless anyone involved has any issues with alcohol, i STRONGLY suggest picking up a couple bottles of wine. this is not a joke.

you’re absolutely right. they actually don’t know anything. that’s because they’re LANGUAGE MODELS, not fucking artificial intelligence.

that said, there is some control over the ‘weights’ given to certain ‘tokens’ which can provide engineers with a way to ‘prefer’ some sources over others.

if this was “boxing”, i’d probably pay for the live events

it isn’t a “ground and pound”, it’s a “drop and bop”

whats the copypasta?

if LLMs were marketed as language assistance and productivity tools, that would be splendid. instead, they plug it into google and tell everyone it’s artificial intelligence. Now it just bullshits to everyone because they think they’re talking to a sentient fucking machine instead of 21st-century Clippy.

all that said, your post has a bit of an accusatory and judgemental tone to it - at least as i’m reading it. did i address your concern?

i mean, i even put a disclaimer at the bottom… :P

all good, glad you shared the real chemistry

when LLMs are used to replace actual intelligence, then yeah i hate them. they’re pretty funny sometimes, too. just like autocorrect.

i’m pretty sure i agree with you, but it took me far too long to understand what you’re saying. you’ve got a great vocabulary. your intended audience probably doesn’t.