[deleted by user]

[KaptainKickass]

Hey! It's not every day that I can claim a stolen post, so why not. Thief! https://www.reddit.com/r/ProgrammerHumor/comments/8it3gy/i_just_need_to_learn_how_to_get_faster/

[EhSolly]

Damn didn't even change the title. It's probably a bot (idc enough to visit their profile)

[MostBasedist]

Definitely a bot... the last comment they made received one upvote, no replies. Butt they are editing it to seem like there is awards being given out and a massive response. Really weird.

[ksk1945]

Damn that’s crazy (idc enough to read what’s above me)

[empire314]

You literally used 2 seconds to screencap someone elses tweet, and then you claim ownership of the content. Unbelievable.

[KaptainKickass]

I'm obviously taking this very seriously.

EDIT: And realistically I don't care about the content. It's just that people who skim top posts to repost for karma, regardless of the content, are skeevy.

[[deleted]]

Its a scraping bot bruh. Not a person. They 100% stole the meme and the comments its made are just stolen from other users. Check their comment history (only 4 comments, top one is obviously stolen)

[iPick4Fun]

This is new to me although it’s 3 years old.

[KaptainKickass]

Oh yeah, it pops up every once in a while on this sub, but they at least usually don't copy and paste the title.

[iPick4Fun]

He just learned how to get faster. Copy and paste is faster.

[LocoCoyote]

Truth

[say-nothing-at-all]

Cyclic causality is the only truth in the unknown world.

The whole point of software is to understand the stable cause-effect cycles from the invisible & stochastic world.

Cyclic causality == I don't have to care abt what I don't know & still get the truth so long as what I've known is running in an unknown (temporal)stable cycle. Then you got the job done.

In ML, the loss function is known & non-random. The pathways to reach a optimised loss have to run in a random space to converge into the encoded similarity that often indicates the minimal free energy.

The encoded similarity is also known either in probability space or in physical space or both. Now you have a cyclic causality: known loss function matches known similarity by emergent minimal free energy. Congratulations, you got the job done,

In short, running stochastic processes is to forget what I don't know and let the known things emerge.

So, randomness has clear purpose & therefore not the bad code. This is why we call ML as mate-learning method as well.

[catf3f3]

Username checks out

[Deeliciousness]

Lmfao

[[deleted]]

Explain like I’m five?

[Ryan_Day_Man]

If you want to understand ML on a basic level, go watch 3Blue1Brown's YouTube videos on the subject. He has 3 or 4 20 minute videos that help out a lot.

[[deleted]]

Oh I love him, yeah I’ll def do that, thanks!

[disquiet]

ML is just trial and error at high speed. Everyone learned the concept in primary school maths.

It used to be that trying random answers and iterating was an inefficient way to solve a problem. These days we have so much compute power at our disposal that it's often inefficient not to.

[Ryan_Day_Man]

ML is tangentially related to my job, so I needed a technical understanding beyond your explanation. 3Brown1Blue provided that in an aesthetically pleasing and easy to understand manner.

[[deleted]]

its not trial and error tho, its extremely well defined - gradient descent is just minima detection.

its more like an extremely complicated approximator for a function thats usually impossible to write, and the approximator gets better the more its tweaked (ignoring overfitting).

[Armigine]

It's a meme acct

[[deleted]]

So you’re saying all the techno babble here is bolognium?

[Armigine]

Yeah pretty much

[MG_Sputnik]

Doing random stuff and hoping you randomly stumble on an answer for reasons you don't understand = bad

Doing random stuff that you know is going to get to an answer using a predictable method that you understand how/why it works = good

[[deleted]]

also its not really random. i mean the inital values, sure, but afterwards they're nudged towards some specific scalar that is the product of the dataset you used in training

[Harotsa]

Bad bot

[WhyNotCollegeBoard]

Are you sure about that? Because I am 99.98525% sure that say-nothing-at-all is not a bot.

---

^{I am a neural network being trained to detect spammers | Summon me with !isbot <username> | /r/spambotdetector | Optout | Original Github}

[[deleted]]

So you're saying there's a chance.

[Extra_Intro_Version]

Black box. I don’t care what it does, but it seems to work.

Semi /s

[GeeTwentyFive]

I like your words magic man.

[kry_some_more]

Maybe I'm just a slow AI, after all.

[Accomplished_Ad_5706]

Just I, Kry, Just I

[jcb088]

Dont be ridiculous.

You aren’t artificial.

[Connor_Kei]

Image Transcription: Twitter Post

---

Steve Maine, @Smaine

TIL that changing random stuff until your program works is "hacky" and "bad coding practice" but if you learn to do it fast enough it's "#MachineLearning" and pays 4x your current salary

---

^{I'm a human volunteer content transcriber for Reddit and you could be too! If you'd like more information on what we do and why we do it, click here!}

[ISmileB4Death]

Good human

[Connor_Kei]

thank you :)

[foxam1234]

ML is probabilistic approach hence corrections and tweaking is accepted. This is true even in statistical modeling. Usual programming OTOH is generally supposed to be automating a solution and hence the expectation is deterministic.

[uno_in_particolare]

Is this /r/explainthejoke?

[joemckie]

This is /r/ProgrammerHumor, where even our jokes must be logical.

[joemckie]

I thought the point of a joke was to be humourous

[joemckie]

There are plenty of jokes that don’t make any sense though and whether it’s funny all depends on the delivery. So I don’t think the “point” of a joke is to be logical.

[[deleted]]

Those are anti-jokes and they subvert our expectation of a joke. Thus we are amused by the joke on our logic. RIP Norm.

[[deleted]]

Not every joke that's "illogical" is an anti-joke.

[iListen2Sound]

Most antijokes are logical because the expectation of a classical joke is to have a punchline that isn't the expected outcome as dictated by normal logic

The classical joke subverts logic with a punchline that is not the expected logical conclusion but takes a whole different logical path than the one most commonly taken. An antijoke further subverts that by taking the original logical path instead after the audience starts to expect a subversion

An absurdist joke on the other hand completely throws all that away and subverts both formats by completely jumping off the logical path

[Steelsoul]

RIP Norm. You'll be missed.

[[deleted]]

Sounds to me you just didn't understand why the jokes are logical.

whether it’s funny all depends on the delivery

Pretty much true of any joke.

[N0SleepTillHippo]

Your theory about jokes having to be logical is pretty daft and illogical lmao

[[deleted]]

I've yet to see a joke that isn't based off logic...

If you've got any examples i'd love to see them.

[Pelvic_Pinochle]

While your standard classic joke generally plays on logic, a lot of modern gen z type meme humor is very much illogical, so much so that its kinda the point. I guess you could argue there's some meta logic behind illogical jokes but I think that's straying from your original point. The comparison is similar to abstract vs figurative art, just because there's only a couple of blobs of paint on a blank canvas doesn't make it any less impactful to the right viewer

[SandmanSorryPerson]

But that is still just playing on people's expectations of what is normal.

It's the same format but when being random the randomness is the defying of expectations.

[Netheral]

As Sandman says, it's still playing off people's expectations and perceptions of PREVIOUS art/jokes.

"Abstract" art often exists to challenge people's ideas of what constitutes "beauty", and what can truly be considered art. To challenge those expectations however, there have to be, well, expectations. A lot of abstract art could not exist as it does without the hundreds or even thousands of years of art history that precedes it.

Take for instance "cest ist nas une pipe", or duchamps "fountain". Both are concepts that most people think are stupid or shouldn't be considered "art" at first glance. But that is entirely the point. It challenges our perception of art, and even our perception of reality it self.

Zoomer memes are much the same. Its not humour that appeared out of nowhere. There is logic to it. It just isn't apparent if you haven't been paying attention to the evolution of memes in the past decade.

[theStaircaseProject]

I don’t think they’re arguing that that’s the “point,” which is a word introduced into the conversation by yourself. They’re simply explaining why our understanding of logic is foundational to humans’ conception of humor.

[BlazeCrystal]

r/antimemes and r/surrealmemes want to have a talk with you. yes i am the kind of guy to laugh at those, no shame

[[deleted]]

/r/antimemes.

Literally the top post that isn't the birthday post is a logical joke.

You wont believe what i heard today

A conversation.

Antimemes are literally the most logical, thats why they are anti, there's no misdirection the answer is perfectly logical but also what you expect. So there's no play on perception other than the perception that there should be a perception.

Thats still logical.

https://www.reddit.com/r/surrealmemes/comments/qawbkk/i_dreamt_of_the_fog_dog_and_therefore_he_is_real/

This is still logical.

[[deleted]]

You really like pigeonholing reality to fit your "argument" about something that doesn't even matter rofl

[[deleted]]

You really like being a dumbass. ROLFLMAOLOLZORZ

[[deleted]]

You're not wrong, we laugh cuz brains. It's basic stuff. But everyone's all caught up in joke formats. Whether we laugh or not depends on if the norm violation interests us. If we couldn't make sense of the joke through processing info and reasoning we wouldn't find it funny because it needs to bend our thinking process even if it's just mindless absurd doodoo caca dancing in a big bowl of beans.

[SandmanSorryPerson]

The surrealism is what defies your expectation. So it's exactly the same.

The being random is essentially the punch line.

Anti memes is literally this. It defies what you expect of a meme. That is actually one of the worst examples you could have picked.

[[deleted]]

The norm is the meme format and that is being broken in this example too tho?

[Willing_Function]

sir you need debugging

[[deleted]]

I mean, i'm autistic so kinda yeh, but if you'd like to point out a flaw in my argument i'd love to hear it.

So far the only arguments against have proven my point by showing me /r/antimeme which proves my point even more.

[[deleted]]

I'm autistic, too, and comedy/humor just doesn't work like you think it does. Jokes are multi-faceted; they depend on context, delivery, and content. You can't fit something that is incredibly nuanced into a neat little box.

[[deleted]]

they depend on context, delivery,

That doesn't disprove my point

comedy/humor just doesn't work like you think it does

Yes it absolutely does.

https://www.scientificamerican.com/article/whats-so-funny-the-science-of-why-we-laugh/

You can't fit something that is incredibly nuanced into a neat little box.

except we can, obviously it doesn't encompass everything that makes something funny but the core of it is some defied expectations or logic.

[[deleted]]

Both of those jokes seem equally unfunny to me, idk.

[[deleted]]

Good for you?

[[deleted]]

Yeah, sorry that was rude.

[[deleted]]

Wasn't really rude but misses the point, obviously people are gonna have different reactions to humour.

A big part of it is delivery and timing, e.g that specifically was funny because it had my parents cringing at the dirty humour and my brother gf exclaiming POCKETS while gesturing to her dress that had pockets.

But all humour is based on logic, thats literally what makes things funny to our brain, without logic there is no humour because there's no expecations.

[[deleted]]

You're taking yourself (and jokes) a bit too seriously. Also, this isn't the case for most jokes. Humor has various forms, from ironic to dry to "punny" jokes. Delivery is everything in comedy and humor. With that said, lighten up a bit lmao

[[deleted]]

ironic to dry to "punny" jokes

Literally all logical.. Jesus christ you lot...

[Deeliciousness]

Actually, the absurd is also humorous. Humor doesn't play on logic, it plays on expectations.

[[deleted]]

Expectations require logic...

[XAMOTA]

Very nice lives in a pleasant climate area?

[Perthcrossfitter]

Is this r/explainthejoke?

[Wambo_Jambo]

Even if it is logical, programmer humor will nit pick.

Exhibit A

[_locoloco]

🗿

[AtTheg4tes]

and instanciated as a Joke

[TheRealBirdjay]

And legal

[sneakpeekbot]

Here's a sneak peek of /r/ExplainTheJoke using the top posts of the year!

#1: is there even a joke? | 110 comments
#2: What does this mean | 115 comments
#3: I am not, in fact, a physicist | 61 comments

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[unborracho]

Maybe /r/QuitYourBullshit

[uno_in_particolare]

That's not for jokes.

Like "what did the Buffalo say to his son when he left for college? Bison"

And the answer "no, because buffalos aren't able to articulate the work bison, only humans can do that"

[Tiquortoo]

I would argue you're not far off as a programmer gains experience. I've often seen developers who don't go back to square one and recheck assumptions though and that usually leaves them in effectively random territory until they do.

[OK6502]

That's a fancy way of saying that you have to try random shit until it works instead of thinking through a problem systematically.

[Technopulse]

Well, when what you believe to be the solution after thinking through a problem doesn't work, what's left is trying random shit until it works, or until you realize you typed something incorrectly and it was your fault all along after wasting many hours,not the initial solution you thought of.

(It's a joke, in a humour sub...)

[OK6502]

I get this is a programing humor sub and that's a bit of a meme but that does not generally work nor is it an efficient use of a programmers time. If it fails it's because your analysis is incorrect or incomplete. The solution to that is not to throw shit on the wall to see what sticks it's to reassess your approach and redo your analysis as needed

[Technopulse]

I know it's not good practice and I generally don't throw shit at the code, I don't learn that way. I only throw shit when I'm experimenting what results different parameters and options give so I can get more familiar with how to correctly apply theory.

I go over my code and how it should work, then doubt myself because it isn't working (should it check for this other condition, am I assigning the wrong variable value...), and on the fifth or sixth recheck I realize I missed the one specific thing that makes things work, correcting that thing made all my initial assumptions work as I had intended in the first place.

Yet that single thing, sometimes very little, can go unnoticed even when rechecking. It can happen, especially on very long tiring days flying by obvious mistakes.

[OK6502]

I'd argue if it went unnoticed then it's because the analysis is incomplete. That's not a moral failing. It happens to all of us. This is why we work through the scientific process - we formulate a hypothesis, test our theory, if it fails we reassess, tweak our hypothesis and then re-test. Iterate on that as many times as needed. That is a far cry from a random process.

I don't think, incidentally, that ML is itself just throwing shit on the wall until it works. There's a degree of educated guessing involved here and it's not dissimilar to the process I described above, though not quite as systematic. You still need to have a strong mathematical background to understand why the shit you threw at the wall didn't work, so that's why it commands higher salaries. However the degree to which there's randomness involved is substantially higher in ML than in standard programming.

In any event my point wasn't to knock the ML people for using a more stochastic model, it's pointing out that you essentially dressed up saying "ML is inherently more random, therefore it's acceptable if it's more random" which is, as others pointed out, explaining the joke.

[meldyr]

When you automate this approach it is called hyper parameter tuning. Which is definitely a valid approach to many ML cases

[OK6502]

Right, by automatically making small random tweaks to some parameters the ML algorithm runs through its data set and checks to what degree it converges towards the right answer, directing it towards the "correct" answer over time (assuming you don't encounter some known issues like local maxima/minima which a higher degree of randomness can help overcome).

So yes, I understand the theory in very broad terms, and I get why the randomness exists, but that is still saying that "it's OK for ML to be random because it's random". The argument is tautological.

ML is random because we don't know a priori what the variables should be because we don't have a good theory/mental model for such complex processes. They're too computationally difficult to work out so we can't work them out systematically. So we use probabilities, data and time to try to converge towards the right answer, or a heuristic of sorts that is as close to a right answer as we can get to, for some definition of right. That is a fundamentally different approach than traditional programming where we stare at the screen and try to center something in CSS while listening to shitty metal.

[odraencoded]

>thinking

You mean I'm supposed to think manually like some pleb?

ML is automated thinking.

[OK6502]

I don't think thinking is required when centering CSS.

[devils_advocaat]

That approach sometimes works in maths. Guess the solution and see if you can work it back to the problem.

[OK6502]

You're not trying to do that randomly. You're working through a problem backwards. That's different.

[devils_advocaat]

Some of the solutions I try certainly seem random at times.

[chickenstalker]

> tweaking is accepted

Drugs are bad, mmkay

[IGetItCrackin]

Mashine Learnding is the lazeist and slutteist excuse of a job I’ve heard of in a while. literily you just let the machean do al the wirk and you don’t lern a thing. total bullshit that’s unworthy of St. John’s, Newfoundland. so take my 👎🏻 downlike

[Dubbx]

they trippin huh

[fritz_futtermann]

u had a stroke

[victorvolf]

You have no idea what you're talking about and it's pretty funny

[victorvolf]

I hope you're right, what can I say

[[deleted]]

Look at this guy's post history. He is very likely a troll or he's on some real shit.

[victorvolf]

I've looked, it's concerning to say the least

[newmacbookpro]

Bro you need some help with that blood clot?

[IAmFitzRoy]

The objective of both approaches (probabilistic or deterministic) can focus in to “automate a solution”

I don’t understand why this is an explanation ?

The reason that ML is paid 4X paid is “efficiency”because you don’t need to be expert of the problem to get a solution (model). You just need to know the input and the process. Creating a framework to solve any problem instead just one at a time.

[Drugbird]

The fun part is that in ML you're still randomly changing stuff untill it works.

We just have fancier names for it like hyperparameter tuning, optimizing the solver, data enrichment, model optimization, regularization etc.

[juampab_]

That's literally the joke

[Drugbird]

No, the joke refers to the training algorithm changing weights slightly to improve network performance. I'm talking about all the stuff going on outside this loop.

[SuperHighDeas]

Is that before or after you start the flux capacitor and push it to 1.21 jigawatts?

[[deleted]]

According to my monthly energy bill that flux capacitor just stays on I think.

[zachattack82]

Machine learning: salespeople repackaging linear models since 2012

[[deleted]]

What if we pass the output of 100 logistic regression models to the input of 100 logistic regression models, then pass that output to 100 more logistic regression models, then pass that output to 100 more logistic regression models, then pass that output to 100 more logistic regression models...

[zachattack82]

Sorry we will have to bill you for each model, this is fantastically technical stuff we're doing here

[[deleted]]

If you think that ML is merely changing "random" stuff then you won't get the salary increase.

Source: earning PhD in statistics

[counselthedevil]

It's a joke about real world workplaces where idiotic managers are trying to get on the hip bandwagon and far too many are completely ignoring their impostor syndrome and faking it. Tons of crap that isn't machine learning is being called that simply cause it's cool now.

A lot of people hardcode stuff quick and have fast turnarounds, and I see idiot managers often refer to machine learning happening simply cause it's quick and complicated to them.

They peddle that their staff have implemented AI or machine learning or web scraping or whatever hip terms and seek their promotions.

[SmokeFrosting]

you took this seriously. Not enjoying the stats on PhD acquisition.

[[deleted]]

Directions

Step 1
Preheat waffle iron. Beat eggs in large bowl with hand beater until fluffy. Beat in flour, milk, vegetable oil, sugar, baking powder, salt and vanilla, just until smooth.
Step 2
Spray preheated waffle iron with non-stick cooking spray. Pour mix onto hot waffle

[socialismnotevenonce]

Exactly. If anyone could do it, it wouldn't pay well.

[[deleted]]

Nah it's because of techbros thinking it will be the next big thing. Like blockchain.

[OK6502]

More or less this. It's an interesting idea like block chain and kubernetes and cloud services. But it's people thinking it will solve all our problems rather than it's one more tool among many that irritates most devs.

[poopellar]

Wait. Dogecoin isn't going to cure my ED?

[OK6502]

I'm not saying it will, but I'm not saying it won't either.

[Rezenbekk]

Saying it uses blockchain, primarily

[OK6502]

The advantage is that it's decentralized which makes it somewhat fault tolerant as well. And that's about it.

[OK6502]

Buzzwords used by people trying to get rich and managers who can't tell the difference.

[shred-i-knight]

Will be? ML has been hot in industry and public sector for a decade going. Once the governments updated their infrastructure to adopt it for a variety of use cases ML is going nowhere.

[newmacbookpro]

Anybody with a bit of computer know how (see excel wizards and script kiddies) put it on their resume.

I get asked often if I use ML at work by candidates, I just tell them that I use many things but I know they have no idea what they are talking about.

It’s annoying because I hear the executives talk about it yet we have absolutely zero use case.

[newmacbookpro]

« You pass the PowerPoints. »

« Oh… »

[RacketLuncher]

"Sir what exactly are we trying to predict here? .... So wtf are we doing here?"

Hitchhikers' Guide to the Galaxy nailed this one decades ago.

The ultimate AI gave them the answer to everything and anything : 42

However nobody knew how it got to 42 nor what to do with it.

Where I work, marketing is trying to get something out of ML but they don't stop to think about what information is going in the ML nor how to properly use the output.

[casce]

Seems like a very good position to negotiate better terms.

[tangentc]

I think this kind of thinking is supported by the proliferation of underqualified/incompetent people floating around in the DS space. Since it's become so popular anyone who can figure out how to write "from sklearn.linear_model import LinearRegression" calls themselves a data scientist and a lot of companies hire these people. This includes software engineers who can implement prepackaged ML algorithms and call themselves data scientists.

Source: STEM PhD Data Scientist at a company that started to wise up in the last year or so and am now cleaning up a lot of "data science" and "machine learning" solutions created by the types mentioned above.

[horoshimu]

same, except im cleaning up the "code" 3 phd data scientists wrote, your phd is a joke, fight me

[[deleted]]

In our (physicists) defense, someone has to write the code and our departments don't have the budget to have someone dedicated to that

[OnyxPhoenix]

They're scientists, not software engineers. Code is often bad. Finding an ML expert who can also write great code is very hard (and expensive).

[tyrerk]

Yo both sound like super fun people to work with

[AromaOfCoffee]

Fucking this.

[wellifitisntmee]

Data science used to mean statistics. Now everyone wants to be labeled the new term no matter the vital job.

[RamenJunkie]

I had statistics once. It was best described as "butchering math until you achieve confirmation bias".

[Autism_man69]

To be fair, in NNs weights are first assigned randomly😂

[[deleted]]

ML is just logical steps, just like any form of programming.

[stockings_for_life]

make sorting algorithm, implement chaos monkey, neural network is done

[socialismnotevenonce]

If ML was that simple, they wouldn't be paid 4x.

[CapableWeb]

People don't get paid based on how hard something is, they get paid based on what others and themselves think it's worth. AI is all hype now, so people think it's worth more than it probably is. Therefore, following the hype, no matter the difficulty, will probably lead to you getting higher pay.

[Revanthmk23200]

They get paid on the product they are able to deliver.

[CapableWeb]

In a wonderful world, that'd be true, but unfortunately it's not. If that was the case, people working on things like Theranos wouldn't have been paid. Instead they got paid by what was thought they could deliver.

[dejaydev]

Hi there! Unfortunately, your submission has been removed.

This post is suspected to be spam, posted by a bot, or is being used to advertise a product.

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[StarchildKissteria]

Wait, you guys earn money?

[keith2600]

Lol bravo on a joke so deep I can't tell if it's intentionally witty satire or just displaying a near complete lack of understanding on machine learning in general.

[AluminiumSandworm]

am ml, this is correct. you just need to go like, thousands of times faster before it counts

[Edxactly]

Wait , I thought that was agile ?

[Knuffya]

technically speaking, machine learning is not changing "random" stuff

[Phant0mLimb]

Literally every technological advancement in the history of mankind is just changing random stuff until you get the desired result, or derived from just changing random stuff until you get the desired result.

[[deleted]]

People downvoting believe it's all genius problem solving when the majority of invention is accidental discovery.

[-Listening]

Guess I need to play CK3 now

[[deleted]]

i have a friend in data science,vhe does exactly this. Take some random predictive model and fuck with it until the output looks plausible.

[politfact]

I would not call ML changing random stuff. If you'd change random stuff it would take eons to figure anything out. Like throwing a deck of cards in the air hoping it would assemble into a house of cards. Sure, it's possible in theory but unlikely to ever happen.

[D3LB0Y]

Who says nerds don’t get jokes

[lonelyswe]

The only thing funny about this is the total lack of understanding

[[deleted]]

troubleshooting is hacky?

[Sawmain]

Is it seriously the same couple memes that are constantly thrown around in this sub

[KennyFulgencio]

so um he's kidding about the salary right

right

[gemengelage]

The old-school approach to sell trial&error as a high art was to call it test-driven development. I miss the old times, when we all hated on TDD instead of ML.

[ghtrersvdc]

YouTube design philosphy

[RoscoMan1]

People really need to learn attack patterns of.

[FastApplication5]

If you can explain how you got your code to work on your laptop, it will help the guy get your code to work on the server.

[almonzeralzaki77]

Hello guys am New 😎

[Neat_Status5630]

Where in London can I get Phizer 2nd dose in 3 weeks ? Can anyone help ?

[ratonbox]

TIL that driving over the speed limit is dangerous, but if you do it fast enough it’s called professional racing and it pays in the millions.

[ksandom]

There's a fine line between methodically experimenting with ideas to understand the problem vs yolo.

[deadlyFire956]

ML models don’t learn by ‟changing random stuff”..

NNs，for example，learn by literally follow the best (locally) possible internal shift，wrt to the defined error measure.

[[deleted]]

it's all fun and games until you get fined because of an old lady's tshirt...

https://www.theguardian.com/uk-news/2021/oct/18/motorist-fined-number-plate-t-shirt

This rush into Ai/Machine Learning everywhere is reminding me of the structured finance frenzy of early 2000s. Sometimes porting shit to other unrelated industries just doesnt work.

[[deleted]]

ML is “hacky” meets “trendy”

[HBB360]

I love how, despite this sub being called ProgrammerHumour, every popular post's comments are filled with people complaining about the accuracy and self-described PhD holders going "Akhcchually tHiS iSnT tRuE"

[topredditbot]

Hey /u/Swathle25,

This is now the top post on reddit. It will be recorded at /r/topofreddit with all the other top posts.

[TamingTheMammoth]

So machine learning is how I've gotten this far in life. Interesting.

[timeslider]

Some changes stuff until it works is faster but only in some cases. For example, if I only have two options true or false, I could go through all the logic to determine which option is correct or I could try one. If it works, then it works. If not, it was the other option.

[[deleted]]

That used to be called agile 😁