SatanLucy

This will not interfere with anyone who doesn't wanna collect virtual pets. They can just keep doing as they did so far. It will only be for those who wanna play. It won't change user interface on forums and debates, other than maybe adding a virtual pet around profile image if user wants it.

SatanLucy

I was always thinking, best way to motivate users to post is to have some reward for each post.


That can be virtual currency. Like, getting 10 currency per comment, 100 per vote, 100 per debate, and 300 for winning a debate. This is just example. Doesn't have to be these numbers.


However, virtual currency is only as good as virtual stuff it buys. If it buys nothing, then no one will enjoy it much.


So what are best virtual items?


Then it occured to me. A lot of games have virtual pets.


Just imagine it, if you could be active to earn currency, and then being able to buy virtual pet.


Then this site could also be about collecting virtual pets, not exactly like Pokemon or Roblox adopt me, but similar enough.


And it would be exciting if users could attach pets to their profiles, so when you open someone's profile, you see their main pet jumping around profile photo.


It doesn't have to be limited to just virtual pets. It can also be cars, bikes, characters which can be equipped with cool stuff like swords. And also everyone's favorite purchase: catgirls.


We can basically just make this site also be a game with collecting of characters, pets, and items.


For simple enough design, it can be 2D and AI can design it for start. It has to be some animation tho, not just motionless image.

SatanLucy

Also, not to disappoint you, I promised a chatbot which can do deductive reasoning. this is my most perfect model in that area, Deducer 1.




Unlike my other codes, this code doesnt run on any "knowledge" file. It works entirely on user input.


If you say "cat = animal", "and "animal = eats food",


it will deduce "cat = eats food".


However, it only uses forward chain deduction.


So if you say "cat = animal", "dog = animal", it will not deduce "cat = dog".

SatanLucy

What is special about Infini 3 chatbot is that it combines sentences based on shared patterns.


For example:


Sentences:

Cat likes milk.

Milk is healthy.


Chatbot detects a repeated pattern "milk". So sentence one is X milk. Sentence two is Milk Y.


It combines them by X Milk, Milk Y, so output becomes:


Cat likes milk, milk is healthy.


this simple "repetition, change" pattern can also be used to detect sentence structures, and make new sentences.


For example, if sentence 1 is: Cat likes milk, sentence 2 is: Cat likes playing,


then chatbot detects a pattern: "Cat likes X".


then it can replace X with something else.

SatanLucy

Just tell chatgpt/codex to tell you what needs to change in code to fix problem. That's probably quickest path in coding.


I do all my coding with chatgpt. Seriously, fastest coding AI out there which works most of the time and withstands heavy usage.


Grok used to be good, but now it gives a lot of "Grok under heavy usage" errors.


Claude AI is probably one of best premium models, but free version is no good. It only does short tasks.

SatanLucy

I mean, if society raises whole generations believing most absurd possible things, once those generations become parents, they will pass all that bullshit onto their kids while adding extra bullshit onto them.


I call this "bullshit accumulation symmetry".


Simply, each person is born to believe in some bullshit. But accumulation happens because the bullshit is passed on.


Person A: Believes in dumb thing X naturally.

Person A becomes parent.

Their child (person B) believes in dumb thing Y naturally.


However, while being raised by person A, the bullshit from person A gets passed to person B.


Now person B believes in both X and Y bullshit.


Then when person B becomes parent, and there is person C, person C will naturally believe in Z bullshit, while inheriting through upbringing symmetry of X and Y bullshit.


In this way, amount of dumb beliefs naturally accumulates in society, while same is not true for smart beliefs because most people don't naturally believe in some specific smart thing, and in average person, amount of bullshit usually greatly outnumbers amount of smart beliefs.

SatanLucy

When it comes to buying and selling, most people make a classical mistake negotiating:


- would you sell it for 130?

- Can you do 150?

- I could do 135.


This type of negotiations you often hear in movies, shows and reality, but it's a mistake because buyer keeps agreeing to pay more and more.


Correct path is:

- Would you sell it for 130?

- Can you do 150?

-I only have 130$ right now with me.


Notice here, that the buyer remained at 130$ offer, and basically forced seller to either accept to sell at lowest offered price, or not sell at all.


My re-sale business has skyrocketed with this strategy.


I am lowering even the lowest prices when I am buying something.

SatanLucy

I mean, I almost lost an entire debating round because of that. If I didn't have it saved on my laptop, it would be gone and I would probably forfeit cuz too lazy to write from start.


It does happen that I sometimes lose a comment or post because for some reason, system signs me out.


Debate Art, in comparison, never signed me out. At some point, I even forgot my password because I didn't need it.

SatanLucy

Not as important as having a Chatbot which can process large amount of text for me in a smart way. It makes books much easier to read.


Right now I also made Non-AI Chatbot model called infini 1.


What's special about this is that it doesn't actually repeat text. It stores patterns, and is capable of combining two sentences into one while being coherent. Also, it is perfectly capable of deductive reasoning.


You could tell it: "A = B, B = C" and it will conclude "A = C" even if that isn't in it's knowledge, thanks to forward going deduction chain which I programmed in it.


It's not AI, but it is capable.


As for AI models, I have a new one there too. This guy is only 0,6 million parameters, standing at only 1.4 megabytes size (or around 2 megabytes in float32).


What's special about this is that I also added optimizer save state function. So it has improved training.

SatanLucy

To pay off $36.2 trillion, imagine the government ran a $500 billion annual surplus (something it hasn't done even once in modern history). At that rate, it would take 72 years of surpluses to eliminate the debt — assuming zero interest (which is impossible, since interest alone costs $1.1 trillion per year).

With interest factored in, you'd need surpluses of $1.5+ trillion per year just to start making a dent. For context, the largest surplus in U.S. history was $236 billion in 2000.


https://www.us-debt-clock.com/blog/will-the-us-debt-ever-be-paid-off

SatanLucy
Let's fully grant his fantasy and put it next to the actual debt numbers.


US debt literally exceeds amount of money in economy by almost 2x, as well as GDP.


this means, even if you taxed each individual in USA for 100% of their income for whole year, you still wouldnt pay off the debt.


It would actually take 1 trillion surplus in US budget for 40 years in a row to pay off the debt.

SatanLucy

"so basic social skills is to be a backstabbing chameleon who will betray everyone?"


No, but you never really understood even the most basic social skills. Its why you make false dichotomy between always being honest and always lying.


Its not your fault tho. You were just born without something which everyone else easily manages.


Its why you think if you disagree with someone, you have to make it clear to their face that you disagree, instead of just doing what everyone else does and just pretend to agree or shut up or change topic...ect.

SatanLucy
You are contributing to the energy drain.


Nah, My laptop doesn't use much electricity, any more than any other laptop. I don't have a supercomputer. If I did, then maybe my electricity bill would be higher.



What do you hope to achieve with AI?


I need AI which is smart and creative. I don't need AI which merely repeats training data. I need AI which uses training data to make something new which is coherent. So I need AI which can innovate.

SatanLucy

A lot of people who download those AI girlfriend apps quickly notice one thing.


Their AI girlfriend forgets something which was mentioned like 10 messages ago, forgets important details, basically forgets everything past a certain point.


Why does this happen?


In order to understand, first we must understand how AI generates text.


AI generates text by predicting next token based on certain fixed numbers of previous tokens. This fixed number is called "context window".


So if user input is "hi", that becomes context window.


So AI predicts what comes after context "hi".


AI predicts that response is: "hi"


Now context window is:


"

hi

hi

"


AI begins to predict what comes after, so it predicts "how are you" (one token at a time)


Now context is


"Hi

Hi, how are you?"


AI again begins to predict what comes after this context. After series of predictions, it predicts:


"Hi

Hi, how are you? What can I do for you".


And that is how AI response is generated. AI predicts next word (or token) based on context window of previous words (or tokens).


So where is the problem?


Context window is usually a fixed limited number of words / tokens.


So why AI girls forget?


Let's say if AI girl has context window of 500 words.


It will only be able to remember previous 500 words in conversation. Everything before that will effectively be forgotten and not even included in generation.


Why don't AI developers simply increase context window?


Increasing context window makes AI slower and uses more power, because AI uses context window to make calculations for each word or token in it.


Bigger context window = more tokens = more calculations = slower AI


So the problem with AI girlfriends as it is now is that yes, they forget a lot, and that's not gonna change any time soon.

SatanLucy

If I succeed in making world's tiniest but fully coherent AI, its gonna prove character level tokenizer is key to AI superiority. It will open way to superior AI intelligence.


All the current popular AI use subword level tokenizer. But that essentially harms their AI. By making vocabulary size bigger, they are leaving less room for AI intelligence.


Character level AI is always gonna have more trainable parameters than subword level AI of same size. thats just math. Bigger vocabulary takes away more parameters.


And when it comes to very small AI models, that difference becomes huge. Having AI of 1 million parameters with subword tokenizer can mean AI only has 200,000 trainable parameters if training data size is big.


Even chatgpt has vocabulary size of over 100,000 tokens. that means such vocabulary gotta take away at bare minimum 20 million parameters, but usually at least 200 million up to 1 billion with bigger models which have more embedding size.


Character level tokenizer reduces vocabulary size to mere 70 to 100 in english language. It reduces vocabulary by at least 1000 times. But it does not take away any AI abilities. Characters in english language can still be used to make any word or sentence. Compared to subword tokenizer, character level tokenizer is much superior in size.


Its like teaching alphabet in school. No one in school learns subword level vocabulary. It would be terribly unpractical and too difficult to use for humans. I assume AI also has it easier using character level than subword level.

SatanLucy

You can see AI content in post 31. Further content is gonna have to wait a bit. I have some nice training data now, and AI needs to learn it. Especially about saying "hello" and such casual responses which weren't in it's previous training data. I am also gonna try teach it math. I wonder how far can a 1 megabyte AI be pushed before it reaches its limit. I just wonder how smart it actually is. Is it just parroting training data or is it a bit more creative than that? That's the question which can best be answered by making it do math after being trained on it.

SatanLucy

Alright, I did some calculations, and it seems word level and subword level tokenizers cant make AI of 1 million parameters.


cuz equation is "128 x vocabulary size" at bare minimum.


English language has 1 million words and at minimum 20000 subwords. If you use very small training data, you could reduce it to 5000 words, but its still too much.


Any large training data will produce vocabulary of at least 5,000 to 10,000 subwords, thus 640,000 to 1,280,000 parameters for vocabulary alone.


So the only one capable of having 1 million parameters and trained on large data is character level tokenizer I made so far.


Subword level can maybe be made from 3 million parameters AI model.


However, smallest possible AI model remains character level tokenizer type.

SatanLucy

I will work on making user interface a bit nicer, which is easy. I don't usually work on making user interface first because it's a waste of time if AI ends up not working properly, which happens often. I use AI for coding, and AI does sometimes give me crappy code or inserts things I didn't ask for.

SatanLucy

Israel maybe controls Trump by having some dirt on him. I am sure Mossad does blackmail and stuff on many politicians.


But two opinions aren't mutually exclusive. Both Putin and Mossad could have blackmail material on Trump.


We know Trump did many favors to Putin for no apparent reason. Same for Israel.


We can't really say anyone other than Israel benefits from US war in Iran.


US doesn't benefit from it, and Trump doesn't benefit from it for sure. In fact, the more he fights this war, the more his own people hate him. It's not even a good distraction from Epstein files.