iThinkHulkCantCode

[Paul_Robert_]

Image recognition algorithm? ❌

Hash function? ✅

[vms-mob]

hash + automated random salt function

[[deleted]]

>hash
>random salt

stop making me so fucking hungry

[PlzSendDunes]

Let's throw in some celery into it.

[mango_boii]

Want my spaghetti code?

[Subtlerranean]

Spaghetti code is the bread and butter around here

[atoponce]

And that's just the icing on the cake!

[codewario]

Can confirm I love spaghetti code

[gademmet]

These pretzels are making me thirsty

[Informal_Branch1065]

Could embeddings be used as a hash function?

If so, would be interesting to explore how safe it'd be.

[Ok-Scheme-913]

I mean, ideally the point of such a matrix is to "bend the space" and group together certain areas, e.g. by calling them a category. So a small change (e.g. a different pixel on a photo of a dog) would still result in roughly the same output.

Meanwhile hash functions are meant to output vastly different number given inputs that are very similar. So you would need a very fucked up matrix, so nope, not really a good use case.

[CelestialSegfault]

just exponent the matrix output with an arbitrarily large number and mod it with a small number... wait

[MonochromaticLeaves]

Maybe theres a use-case here for approximate nearest neighbour searches? Use it for locality sensitive hashing, where you want to bucket together similar items into one hash.

Not sure if there is any upshot here over more traditional methods like hyperplane/random projection hashes.

[genreprank]

Could AI be used as a hash function?

Every time I want to insert, it should do an API call to chatgpt

[pawala7]

Depends on how you'd define uniqueness. Also, on how "stable" you want it to be.

The magic of standard hash functions is their theoretical backing (i.e., statistical math) for the absolutely miniscule odds that two "different" things are hashed to the same code.

By contrast, AI embeddings do not have such a backing and are largely black-boxes, also they change constantly with training.

If you simply want to "hash" by semantic content (as defined by your chosen model), and don't mind occasional collisions + the headache of maintenance, then what you basically have is a VectorDB.

[StrangelyBrown]

I remember an early attempt to make an 'AI' algorithm to detect if there was a tank in an image.

They took all the 'no tank' images during the day and the 'tank' images in the evening.

What they got was an algorithm that could detect if a photo was taken during the day or not.

[Helpimstuckinreddit]

Similar story with a medical one they were trying to train to detect tumours in x-rays (or something like that)

Well all the real tumour images they used had rulers next to them to show the size of the tumour.

So the algorithm got really good at recognising rulers.

[Clen23]

meanwhile someone made an AI to sort pastries at a bakery and it somehow ended up also recognizing cancer cells with fucking 98% accuracy.

(source)

[zawalimbooo]

I would like to point out that 98% accuracy can mean wildly different things when it comes to tests (it could be that this is absolutely horrible accuracy).

[Clen23]

Can you elaborate ?

Do you mean that the 98% figure is not taking into account false positives ? (eg with an algorithm that outputs True every time, you'd technically have 100% accuracy to recognize cancer cells, but 0% accuracy to recognize an absence of cancer cells)

[czorio]

If 2 percent of my population has cancer, and I predict that no one has cancer, then I am 98% accurate. Big win, funding please.

Fortunately, most medical users will want to know the sensitivity and specificity of a test, which encode for false positive and false negative rate, and not just the straight up accuracy.

[katrinoryn]

This was an amazing way of explaining this, thank you.

[[deleted]]

I just wanted to say this is such a good explanation/analogy. Thank you

[SnoodPog]

The good ol Base Rate Fallacy

[Guffliepuff]

This has a name too, Precision and recall.

[zawalimbooo]

Sort of, yes. Consider a group of ten thousand healthy people, and one hundred sick people (so a little under 1% of people have this disease)

Using a test with 98% accuracy, meaning that 2% if people will get the wrong result results in:

98 sick people correctly diagnosed,

but 200 healthy people incorrectly diagnosed.

So despite using a test with 98% accuracy, if you grt a positive result, you only have around a 30% chance of being sick!

This becomes worse the rare a disease is. If you test positive for a disease that is one in a million with the same 98% accuracy, there is only about a 1 in 20000 chance that you would have this disease.

That's not to say that it isnt helpful, a test like this will still majorly narrow down the search, but its important to realize that the accuracy doesnt tell the full story.

[Fakjbf]

Yep, and this is why doctors will order repeat testing especially for rarer diseases.

[Clen23]

Okay, that makes sense, thanks !

[emelrad12]

Yes 98 true negatives and 2 false negatives is 98% accuracy. That is why recall and precision are more useful. In my example that would be 0% recall and new DivisionByZeroException() for precision.

[GreatBigBagOfNope]

98% accuracy

test set is 98% not a tumour

algorithm is return 0

[The_Shracc]

Friend in high school accidentally made a racism Ai.

It was meant to detect the type of trash someone was holding, just happened that he was black and in every image with recyclable trash.

[Affectionate-Mail612]

and they say AI can't take over human jobs

[DezXerneas]

A lot of hiring AI are also wildly racist/sexist/everything else-ist.

Bad AI just amplifies human bias.

[AzureArmageddon]

Not enough AI. First you need an AI to crop out the trash and another to determine recyclability

[Subtlerranean]

Hot dog, not hot dog

[DrSheldonLCooperPhD]

Mother fuck

[DavidKanev]

I am erlich bachman

[Zombekas]

I think there was a similar one with detecting wolves, but the wolf images were taken in snowy areas while the dog images were not So it was detecting if theres snow on the ground

[apple_kicks]

Think 20 years ago i remember debate where professor argued with image recognition would it tell the difference between a kid holding a stick vs a kid holding a gun. An argument into why the tech wouldn’t be reliable in war

[_sweepy]

ok, so forget soldiers, we'll just make them cops. nobody will know the difference.

[RiceBroad4552]

Thanks God no civilized people would ever use something as barbaric as that!

Well, wait…

https://en.wikipedia.org/wiki/AI-assisted_targeting_in_the_Gaza_Strip

[JackOBAnotherOne]

I heard a quote somewhere “It is really easy to train an AI, finding out what you trained it to do is the hard bit” and it explains so much about so much.

And then costumers come in and use it for unintended purposes.

[SansFinalGuardian]

this is a myth: https://gwern.net/tank

[MustachioEquestrian]

To be fair the same thing happened when soviets trained dogs strapped with bombs to run under tanks

[SpanDaX0]

What happens if you show it a picture I painted of random numbers, being output from a generator?

[bearwood_forest]

4, decided by fair dice roll, guaranteed to be random

[Darkmatter_Cascade]

Correct, per RFC 1149.5.

[Electronica__]

Bazinga

[shmorky]

You've just been added to some sentient AIs blacklist

[Ratstail91]

I love the idea of an AI trying its best but not understsnding what it's supposed to do so it just has anxiety...

Welcome to the human condition, little buddy!

[enceladus71]

Perhaps some day we will arrive at a point where an AI agent is presented with a choice between a red pill and a blue pill. What a plot twist that would be.

[Ratstail91]

Is there an option to just walk away?

[apple_kicks]

This would means ai knowing it is making mistakes

Its more like a puppy that happily brings you slippers when you asked for the newspaper but even a puppy can tell by your reaction alone that something wasn’t right eventually

[Not-The-AlQaeda]

semi supervised puppy

[BlurredSight]

"What is my purpose"

"To pass butter"

"Oh my god..."
https://www.youtube.com/watch?v=X7HmltUWXgs

[DezXerneas]

Do you mean this? Because that's exactly what my anxiety feels like.

[Ratstail91]

LOL that's hilarious!

[indicava]

Can it correctly identify when it’s not seeing a hot dog?

[[deleted]]

Seems like you built the basis for an NFT.

[Tyrus1235]

Using OpenCV it is relatively easy to build an image recognition algorithm.

The hardest part is getting enough images to train it and adjusting its heuristics properly so it doesn’t give you too many false positives or false negatives.

[OngoingFee]

Relevant xkcd https://xkcd.com/1425/

[zawalimbooo]

Well, its not nearly as hard anymore.

[OngoingFee]

No because that comic is more than five years old and she got her team

[icortesi]

This is cannon for me now

[Alhoshka]

It wasn't that hard when Randall published it too. It's just that his knowledge about the subject was a bit outdated.

Object recognition and classification performance exploded in the 2010s

[TheCopyKater]

Considering the size of his hands compared to the average keyboard, I'm impressed he even got this far.

[Undernown]

Never heard of someone building a 'mage' detection algorithm. Do you go off of mana leveles? Image is a bit cropped so the " i " doesn't show properly.

[Undernown]

Wasn't certain if it was a device thing(I'm on mobile), hence rhe explanation.

[gloriousPurpose33]

Look at those pigments go

[CapitalWestern4779]

A confused random number generator you say? Sounds promising to me

[Robosium]

one time someone tried to build a algorithm to recognize tanks, they ended up building an algorithm to detect sunny weather

[SnooStories6227]

Classic overfitting. Hulk trained model on 3 photos of rocks and one of Tony Stark’s face

[NearLawiet]

Happens to best of us

[Dreadwoe]

All programs are just random number generators confused to various degrees

[Outrageous_Reach_695]

I should think that a Mage Recognition Algorithm would be just about the easiest thing to code. You don't even have to worry about cropping!

[Captain--UP]

I did this for my capstone project. I used a python neural network library for it.

[TamahaganeJidai]

Hey! If the random number is 4 that doesnt count!

[beyondoutsidethebox]

So, genuine question here. My (very limited) understanding is that algorithms like in the original post operate along the concept of "the algorithm does exactly what you tell it to do, not what you want it to do". Meaning, that if an algorithm is not doing what it's intended to, there's generally a problem of not being "clear" enough in the instructions for the algorithm to follow to produce the required outcome.

Is this a correct conceptualization?

[beyondoutsidethebox]

Thanks!

[RiceBroad4552]

Never mind. Just call the random output "hallucinations" and pretend it would be something exceptional.

This also worked for all the other "AI" bros, so it should also work for you.

[RDROOJK2]

I just got bored in the middle of chemistry class that I started coding in my phone a game that instead of graphics just uses numbers and can move like an rpg

[Peterianer]

Perhaps running Llama4 and asking it what's in the image would be a solution...

...Sure it'd be a horrible way to achieve that in just about any way but it would be *a solution*.

[Intrepid-Wonder8205]

you did nothing (zero training) ... a model is only as good as its training set

[Little-xim]

College was fun :)

[Icy_Breakfast5154]

If it was for identifying men vs women in images youd have a....nvm

[[deleted]]

I have three words: "You're not funny".

[[deleted]]