I self-training on PHP, Ruby, Python, C# during 1 year without knowledge in programming. Now I finally find a job as professionnal web developper, without degree !

Worst of 2020:

Seeing company get stuck in an organizational swamp. Devs tend to be reasonably good at working from home...

Management isn't. Meeting quality has gone down the drain, half of management thinks "if the boss can't see me why work at all?", the other half has constant calls with tiny working groups where nothing is final and everyone is left confused.

I'm convinced: Everything management is afraid of about allowing devs to work from home is based on projection of their own weaknesses.

They're not passionate enough to work without oversight. They might not be introverts, but extroverts are perfectly able to communicate poorly, especially when a few digital hurdles get in the way.

The average developer might actually be more attuned to the intricacies of emotionless text chats, and preventing disruptive elements in video calls.

Also, unless someone physically helps a manager to remove their head from their own ass once in a while, their "gut feelings" about the market and products are actually just amplified bias caused by their endless self-absorbed yelling into the echo chamber that is their stretched out rectum.

Holy motherfucking hell, have I seen some weird projects float by in 2020, pooped out by isolated product managers whose brain clearly has melted when they had to survive without office fruitbaskets and organizational post-it walls.

Yeah let's promote our international character, by giving away travels and hotel bookings, using pictures of happy hugging people in foreign countries... Great promo during a pandemic.

Or let's get "woke" and promote the "colored users" on our platforms, by training ML to categorize people by skin pigment (Apart from how illegal and ethically insane that is on multiple levels, about 85% of our users pick shit like anime characters and memes for their avatar).

Or how about we make a Microsoft Store app, even though the vast majority of our end users are students using cheap Android phones, older iPhones, Macbooks and Chromebooks.

😡

Anyway, now that I have dressed up my Christmas tree with some manager intestines...

Best of 2020:

I got to play through my Steam backlog, work on hobby projects, and watch a lot of YouTube.

All this pandemic insanity has convinced me all the more that I want to work way more in Rust, and publish way more on open source projects.

I became maintainer/collaborator on a bunch of semi-prominent libraries & frameworks, and while no community is perfect, I enjoy my laid-back coffee-fueled debugging on those packages much more than listening to another crack addicted cocksucker in a suit explain their half-assed A/B test idea to me at 9AM.

So, 2021 will be me half-assing through the spaghetti at my official fuckfest of a job so I can keep filling my bank account — and investing way more time and effort into stuff I find truly engaging, into projects with a heart and a soul.

I find it so amazing to see when my colleagues (or even me) are irritated/annoyed to the fucking point, swearing around and so on but then the phone rings and they are completely calm/sound nice/happy when they pick it up one second later. (we're Linux support engineers)

This job is the best fucking self control training I've ever had!

Senior manager: I cant understand how this project has taken so long?
Me: Well you hired me as a C# WPF developer and then asked me to deliver an android app without any kind of training so i had to teach myself app development and reverse engineer the undocumented protocol it needs to use to communicate with our product.
Senior manager: Ok. I get that, but it should only take around 3 months to get up to speed though right?
Me (to myself): how in the hell? New platform, self teaching, undocumented protocol for a complex low level real-time system, other responsibilities taking at least 50% of my time and i should be as productive as an outsourced app dev company in 3 months???!! FFFFFUUUUUUUUUUUUUU!!!!!!!!!

The state of the web in 2020:
discussion sites as a medium are dying. chalk that up to censorship.

reddit is an echochamber. twitter is mostly a marketing platform disguised as (anti)social media. instagram is a self promotion/wannabe eceleb site, and youtube is the new hollywood..quickly becoming irrelevant.

facebook is where I (dont) go to (totally not) ignore all the people important to me.

and email is where I go to send letters bordering on hatespeech to my various local and federal "representatives", in between borderline cyberbullying people stupid enough not to automate their spam marketing in 2020. or talking to left/right self-help grifters about the state of society.

in the grim dark future of 2020, the last bastion of intelligent conversation, free speech, and civility, the one shining icon of hope in a dark world..
is the comment section of pornhub videos where a women got stuck under a bed for the 50,000th time. And all I can think is "wow I never knew how easy it was to get trapped under a bed. They should look into fixing this safety hazard."

newsmedia has jumped so many sharks, the fonz now spins in his grave so fast we could hook him up to a generator. meanwhile people hide in their homes for a disease so deadly you have to be tested to know if you even have it.

while ever more car commercials
are released, set to somber but hopeful piano music to the tune of "in this time of social distancing its important to stay close even when we're apart."

Im beginning to think media has become a poison on society, both television and the internet, and like an ersatz cargo cultist worshipping the great-charles- manson-in-the-sky we should all take a page from the unabomber and smash our televisions with hammers before going outside and sawing down the telephone polls.

I jest of course. But there is no denying the inherent appeal of moving from the unsettling uncertainty of complex societies, driven by expertly manipulated fear cycles, to the beatitude-esque simplicty of pastoral protestant style living, sans witch burning and shoe buckles.

And against the reckoning of utopians who are still fresh from the womb as it were, wet behind the ears and smelling of their mother's pussy, I reject the notion that "up" is a synonym for "forward."
Were it the case, every drinking binge, followed by throwing up, would bring us, with each vomitting, one step closer to heaven. Rather the state of affairs is what it is, and what it is, like most of nature, is a cruel master and a harsh teacher. And while we may binge on digital delusions of grandeur and a greater society, rest easy in the nihilistic and sobering thought that we are little more than 200,000 year old cave men wielding magic bricks, and atomic bombs.

..where water flows more readily from metal tubes in our houses than it does from the nile. where food comes to our door at little more than our beck and call.
where we may bath, and sleep, and *shit*, cleanly, comfortably, and safely, wrapped in the (failing) bubble of delusion we all tenaciously grasp collectively, the thing we call "civilization".

an empire of needful things, wanton and fragile.

if we have not gone mad from boredom, I have no doubt we one day will.

it becomes more and more obvious to me every day, had war never existed, it would have been necessary for man to invent it just to have something to do, that didnt include farming, fucking, or building.

And so enters "political idealogy."

How would we ever have enemies if we were allowed to speak our piece instead of being given the means (and reflex dogwhistle training) to silence and destroy one another?

give a man a gun, he'll rob a bank. give a man a bank, he'll rob the world.
give him a media empire or a tech platform, and he'll lie about the theft and convince one half of millions of lemmings to hate all the other lemmings.

!dev

A child's mind is fascinating.

I remember how it felt being a kid, just deliriously happy.

Things were magical, mystical and happy.

I knew the world wasn't perfect, I knew bad things happened to good people.

But a kid's mind is so powerful that it can fill in the blanks with the most cheerful and optimistic perspectives.

And at some point in my childhood I was exposed to videogames, and that kinda took me down fantasy lane even further.

I was extremely young and barely retaining any memories when I was exposed to my first console, a famicom.

I have a somewhat vivid memory of my mind being blown away for the first time by watching my brother play New Ghostbusters II for NES.

From then on, we never stopped and played several console and dos/pc games.

When I was 10, someone from the neighborhood brought in a couple of floppys with Pokemon Yellow.

"What? Pokemon? How the fuck is that even possible? This is a pc, not a gameboy".

I didn't know at the time what an emulator was, but I was super fucking stoked to be able to play that.

My dad had a 1 gb laptop from work that he didn't use, so I hoarded that shit, and I would get to bed and play nearly everyday.

The experience was surreal. I was doing pc gaming... not on a chair, on a fucking bed, and I was playing a gameboy game... on a pc.

It was so intense to me, that even after more than 2 decades of that time in my life, I still remember how it feels like.

Like, you know how you can "feel" things if you think about them? like for example if you think about the taste of chicken, you can somehow feel it for a second.

Well I have like an actual physical sensation linked to that experience but I can't explain it at all, because it's just a sensation.

I think people usually say they feel that way, for example, about the PSX (usually refered to as ps one) loading screen. I experienced that too but when I was 12, so it was not as intense (it does make me feel the fuzzies though).

I also remember other things with very high detail, like the texture of my bed cover, the weather, mom cooking, the clunky shape of the laptop, the way I carelessly stored it above a pile of magazines, etc.

I rememeber ofc how it felt looking at the game sprites, interacting with NPCs, and the goddamn fucking glorious music.

It was dreamy.

Years and years later, I grew up and I stopped living in fantasy world and became more aware of the grim aspects of life my younger self was sugarcoating.

So I tried to play pokemon again, again and again, and no matter how hard I tried to revive that euphoria, I could not never do it.

I started to get annoyed at the game.

"Come oooon, I did the tutorial already, let me skip this.
This pokemon is useless, why am I even training it.
Fuck, I'm tired of grinding"

At some point I accepted that the feeling would never return, and that it would just live in my memory.

Ironically, I can recall that memory and how it felt anytime I want to.

And I can actually still feel it, and throughtout these years, it has never wore down.

And eventually I learned how to play pokemon and enjoy it:

I read tier lists at smogon online and just catch and train the pokemons that are higher on the list, which is how i got to beat yellow in like 3 days.

(This is nothing compared to what speedrunners do, but much better than the weeks it had taken me in the past).

That served as an important lesson that when a kid plays a game, his mind is also the game at the same time, filling the blanks with its imagination.

A very similar experience happened to me with harvest moon, which is the precursor of stardew valley.

and that game is faaar more emotional: you talk to people, overtime you befriend them and they open up, you meet a girl, you marry her, have a kid

you get farm animals, you brush them, they become happy

you get attached

that game was also so powerful in me that in all naiveness I thought I wanted to be a farmer.

Eventually I grew up and hit puberty and from then on, I focused more on competitive games, like smash bros, cs and tf2.

and i dunno how to end a post so eat my fucking nuts

We don't have to be afraid of AI becoming self-concious and eradicating entire humanity in the near future.

Example 1: Amazon ads. You buy a TV and start receiving ads for YET ANOTHER FUCKING TV. Just in case you'd need a second/third/∞ TV on the same day.

Example 2: Recruiter bot Mail. I HOPE it's a mass mail bot and not a real human being ;)

"we're looking for PHP developers"

SELECT * FROM candidates WHERE experience IN ('PHP')
Gives
+10 to intelligence
+5% to skynet training speed

"we're looking for Java developers"

SELECT * FROM candidates WHERE experience IN ('Java')
Gives
+20 to intelligence
+10% to skynet training speed

"we're looking for frontend developers working with Angular."

SELECT * FROM candidates WHERE projects IN ('frontend') AND experience IN ('Angular')
Gives
+40 to intelligence
+20% to skynet training speed

"we're looking for QA Engineers ready to relocate to Ukraine or Cyprus"

SELECT * FROM candidates WHERE experience IN ('QA') AND location NOT IN (any country with higher living standard, lower living costs and no war)
Gives
+80 to intelligence
+40% to skynet training speed

Example 3: Alexa understands me only if I'm drunk.

Alright. This is going to be long and incoherent, so buckle up. This is how I lost my motivation to program or to do anything really.

Japan is apparently experiencing a shortage of skilled IT workers. They are conducting standardized IT skill tests in 7 Asian countries including mine. Very few people apply and fewer actually pass the exam. There are exams of different levels that gives you better roles in the IT industry as you pass them. For example, the level 2 or IT Fundamental Engineering Exam makes you an IT worker, level 3 = capable of working on your own...so on.
I passed level 1 and came in 3rd in my country (there were only 78 examinees lol). Level 2 had 2 parts. The theoretical mcq type exam in the morning and the programming mcq in the afternoon. They questions describe a scenario/problem, gives you code that solves it with some parts blanked out.

I passed the morning exam and not the afternoon. As a programmer I thought I'd be good at the afternoon exam as it involves actual code. Anyway, they give you 2 more chances to pass the afternoon exam, failing that, you'll have to take both of them the next time. Someone who has passed 1 part is called a half-passer and I was one.

A local company funded by both JICA and my government does the selection and training for the Japanese companies. To get in you have to pass a written exam(write code/pseudocode on paper) and pass the final interview in which there are 2 parts - technical interview and general interview.

I went as far as the interview. Didn't do too good in the technical interview. They asked me how would I find the lightest ball from 8 identical balls using a balance only twice. You guys probably already know the solution. I don't have much theoritical knowledge. I know how to write code and solve problems but don't know formal name of the problem or the algorithm.

On to the next interview. I see 2 Japanese interviewers and immediately blurt out konichiwa! The find it funny. Asked me about my education. Say they are very impressed that self taught and working. The local HR guy is not impressed. Asks me why I left university and why never tried again. Goes on about how the dean is his friend and universites are cheap. foryou.jpg

The real part. So they tell me that Japanese companies pay 250000/month, I will have to pay 60% income tax, pay for my own accommodation, food, transportation cost etc. Hella sweet deal. Living in Japan! But I couldn't get in because the visa is only given to engineers. Btw I'm not looking to invade Japan spread my shitskin seed and white genocide the japs. Just wanted to live in another country for a while and learn stuff from them.

I'll admit I am a little salty and probably will remain salty forever. But this made me lose all interest in programming. It's like I don't belong. A dropout like me should be doing something lowly. Maybe I should sell drugs or be a pimp or something.

But sometimes I get this short lived urge to make something brilliant and show them that people like me are capable of doing good things. Fuck, do I have daddy issues?

So it's been a while since I've posted as my first few months at the new job have been amazing. But now I'm running into issues with a team member that I need to get off my chest.

So my new job is front end development in React. I'm brand new to it but I was promised time to learn on the job. On my first day the team member I'm now having a conflict with offered me help. He's the most experienced so I gladly took it.

But now several months in I've noticed his teaching style doesn't work for me. He'll go into long theoretical explanations whenever I ask a question and I get overwhelmed with info. And he gets frustrated with my inability to process all that, because he feels I waste his time. So frustrated that at one time he just walked out of work and drove home, which was really upsetting to everyone.

My direct manager and my mentor in the company (our software architect), as well as our scrum master (a consultant) are all aware of the conflict. I've been assigned another colleague to help me out. Things were going ok but he got sick so I had to turn back to the team member with the conflict for assistance. Of course frustrations arose again.

Now yesterday during our sprint planning meeting we had to say what we liked and didn't like about the past sprint. And I brought up I feel I need time for learning and that I don't know where to put that, since we don't have a task for it. I said I also felt past approaches weren't working out and that I'd like to take up the offer to go on training. I was trying to word it very neutral to not upset my colleagues, as they tried their best. But the colleague who I had previous conflicts with took it personal and accused me of not listening and that is why my code is awful. While all I've been doing is rely on his code to learn. Long story short it got very heated and direct manager and scrum master who were present had to shut it down.

I'm thinking of talking to my manager and mentor today. It really hurts when you're accused of maliciousness when all you did was try. I know my code isn't perfect. But I get no help in improving it beyond long winded explanations about theory. If I ask for practical help he says he won't write my code for me. Which isn't what I expect. When I say I followed his example he says I shouldn't copy. But two sentences later he says if I don't know what I am doing I should listen to him. It's really very confused and demotivating as a beginner, but he makes it about how I waste his time and ruin his job for him. I understand he tries his best and that it has to be hard when someone seemingly is as dumb as a bag of bricks. But my manager and mentor told me they support me as long as I continue to show improvement. So I asked for alternatives (training, time to study, or whatever I haven't thought of) and now I feel like the bad person. I'm already someone with crippling low self esteem, and I'm thrown into the deep end. It kinda sucks when someone then tells you from the sideline you can't swim and how swimming works. How about tossing me one of those floaty things and then maybe accept I need to hold on to that for a bit and my technique will need work until I can make it on my own? :(

i was hired to join a team of old devs (40+) in an unnamed European country "yay goodbye 3rd world it's time to enjoy the quality of life" assist with enhancing already existing software and creating new solutions.
prior to my arrival most things were slow and super buggy, looking at the code base it shouldn't be a surprise, amateur hour everyone, logic implemented that is not needed, comment driven development, last time code review was done back in 1996. lots of anti patterns.
i swear there is a for loop that does nothing but it loops through a 100+ elements list, trunk based development with tfs since git is "not really needed"
test projects are not there.
>enter me an educated fool, with genuine passion for the craft and somehow a decent amount of knowledge.
>spent the last year fixing stuff educating people on principles and qualities.
> countless hours of training and explaining. team is showing cooperation, a new requirement comes in to develop with react.
> tear my ass creating reusable shit and self explanatory code with proper naming etc using git with feature branching, monday is first deployment day.
> today a colleague was working on an item submit a pull request and self approve it
> look at the code..... WTF the dumb fuck copied and pasted the whole code from different kendo components but somehow managed to refractor the name to test component, commented out all the code that he didn't use did the api call directly from the component, has 2 useeffects that depends on the a fucking text box changes for no reason, no redux implementation, the acceptance criteria is not achieved, and it doesn't work it just look right.
> first world country shit cannot scold, cannot complain, lead by example.
>asked him why you did this, the response was yeah probably i shouldn't have done that, i really didn't understand anything in the training but didn't want to waste time!!!!
> rest of the team created a different styled disaster with different flavors they don't even name their shit the same way.

fellow developers I'm stuck in a spaceship with a bunch of imposters, seriously i never cried in my entire life now I'm teary and on the verge of a break down.
talk with management "improving needs time" and offers me to join a yoga session to release the stress as if reaching nirvana would deliver shit on monday.
i really don't know what do is this a rant, is this a cry for help, I'm not sure, any advice is welcomed.

So I'm a new junior dev, been working for around 4 months.
What's some advice from you've learnt from experience that you would give to someone in my position?

For context, I taught myself Java a while ago, was taught Python and some PHP recently and have patchy self taught knowledge of JavaScript.
So no degree and minimal formal training!
I have done 3 or so months of Ruby (self taught) doing back end web dev with Rails and soon am going to get involved with a small PHP and front end built from scratch.

This is gonna be a long post, and inevitably DR will mutilate my line breaks, so bear with me.
Also I cut out a bunch because the length was overlimit, so I'll post the second half later.

I'm annoyed because it appears the current stablediffusion trend has thrown the baby out with the bath water. I'll explain that in a moment.

As you all know I like to make extraordinary claims with little proof, sometimes
for shits and giggles, and sometimes because I'm just delusional apparently.

One of my legit 'claims to fame' is, on the theoretical level, I predicted
most of the developments in AI over the last 10+ years, down to key insights.
I've never had the math background for it, but I understood the ideas I
was working with at a conceptual level. Part of this flowed from powering
through literal (god I hate that word) hundreds of research papers a year, because I'm an obsessive like that. And I had to power through them, because
a lot of the technical low-level details were beyond my reach, but architecturally
I started to see a lot of patterns, and begin to grasp the general thrust
of where research and development *needed* to go.

In any case, I'm looking at stablediffusion and what occurs to me is that we've almost entirely thrown out GANs. As some or most of you may know, a GAN is
where networks compete, one to generate outputs that look real, another
to discern which is real, and by the process of competition, improve the ability
to generate a convincing fake, and to discern one. Imagine a self-sharpening knife and you get the idea.

Well, when we went to the diffusion method, upscaling noise (essentially a form of controlled pareidolia using autoencoders over seq2seq models) we threw out
GANs.

We also threw out online learning. The models only grow on the backend.
This doesn't help anyone but those corporations that have massive funding
to create and train models. They get to decide how the models 'think', what their
biases are, and what topics or subjects they cover. This is no good long run,
but thats more of an ideological argument. Thats not the real problem.
The problem is they've once again gimped the research, chosen a suboptimal
trap for the direction of development.

What interested me early on in the lottery ticket theory was the implications.
The lottery ticket theory says that, part of the reason *some* RANDOM initializations of a network train/predict better than others, is essentially
down to a small pool of subgraphs that happened, by pure luck, to chance on
initialization that just so happened to be the right 'lottery numbers' as it were, for training quickly.

The first implication of this, is that the bigger a network therefore, the greater the chance of these lucky subgraphs occurring. Whether the density grows
faster than the density of the 'unlucky' or average subgraphs, is another matter.
From this though, they realized what they could do was search out these subgraphs, and prune many of the worst or average performing neighbor graphs, without meaningful loss in model performance. Essentially they could *shrink down* things like chatGPT and BERT.

The second implication was more sublte and overlooked, and still is.
The existence of lucky subnetworks might suggest nothing additional--In which case the implication is that *any* subnet could *technically*, by transfer learning, be 'lucky' and train fast or be particularly good for some unknown task.

INSTEAD however, what has happened is we haven't really seen that. What this means is actually pretty startling. It has two possible implications, either of which will have significant outcomes on the research sooner or later:
1. there is an 'island' of network size, beyond what we've currently achieved,
where networks that are currently state of the3 art at some things, rapidly converge to state-of-the-art *generalists* in nearly *all* task, regardless of input. What this would look like at first, is a gradual drop off in gains of the current approach, characterized as a potential new "ai winter", or a "limit to the current approach", which wouldn't actually be the limit, but a saddle point in its utility across domains and its intelligence (for some measure and definition of 'intelligence').

They keep training bigger language models (GPT et al). All the resear4chers appear to be doing this as a first step, and then running self-learning. The way they do this is train a smaller network, using the bigger network as a teacher. Another way of doing this is dropping some parameters and nodes and testing the performance of the network to see if the smaller version performs roughly the same, on the theory that there are some initialization and configurations that start out, just by happenstance, to be efficient (like finding a "winning lottery ticket").

My question is why aren't they running these two procedures *during* training and validation?

If [x] is a good initialization or larger network and [y] is a smaller network, then
after each training and validation, we run it against a potential [y]. If the result is acceptable and [y] is a good substitute, y becomes x, and we repeat the entire procedure.

The idea is not to look to optimize mere training and validation loss, but to bootstrap a sort of meta-loss that exists across the whole span of training, amortizing the loss function.

Anyone seen this in the wild yet?

Not training properly in the first 7 years of my programming career, which is theselast 7 years 😓

As a result, I have to re-do a big part of my work because I don't trust my older self around computers.

anyone ever try to create a self training two ai using a nn to play pong against each other ?

like what would happen ?

there is definately a cutoff point, everytime the other user scores.

on another note getting laid would make me feel better right now.

I finally got the lstm to a training and validation loss of < 0.05 for predicting the digits of a semiprime's factors.

I used selu activation with lecun normal initialization on a dense decoder, and compiled the model with Adam as the optimizer using mean squared error.

Selu is self-normalizing, meaning it tends to mean 0 and preserves a standard deviation of one, so it eliminates the exploding/vanishing gradient problem. And I can get away with this specifically because selu *only* works on dense layers.

I chose Adam, even though this isn't a spare problem, because Adam excels on noisy problems and non-stationary objectives (definitely this), and because adam typically doesn't require a lot of hyperparameter tuning its ideal here, especially considering because I don't know what the hyperparameters should be to begin with.

I did work out some general guidelines on training quantity vs validation, etc.
The initial set wasn't huge or anything, roughly 110k pairs for training.

It converged pretty quick all things considered, and to the low loss like I mentioned, but even then the system always outputs the same result, regardless of the input, so obviously I'm doing something incorrectly.

The effectiveness of this approach for training and validation makes me question if I haven't got something wildly wrong. Still exploring though and figuring out how to get my answers back out. I'm hoping I just fucked up the output, and not the input as well.

I think it would be nice to see less contracts with those companies which only have in mind barebones training and profit. That kind of relationship between institutions drops the standards and it's expensive af. Those who sells cheap computers and bad software and charges more than ten time their value, those with enough power and influence to bend every single rule...

That kind of companies shapes the industry according to their needs, and will never give a shit about anything but the next semester. They teach you to be just a bit more than a user, they charge you like if they were really teaching science.
You end up full of debt, self taught on the technologies that matters, and accepting jobs on projects as outdated and mediocre as the "educational plans" you paid thousands for. And all that just to get a piece of paper signed by a stranger who doesn't care about you, and enjoyed by a corporation which wouldn't even consider to hire you because they know what they sold to the education department.
Fuck this, today I hate it all.

It's not a real dev regret but it's related to it: Not being able to fix a price or a value for my skills.
It's a real regret.
Just coming out of college I have tried my hand at freelancing at found it real hard to fix a value for what work was offered because I just found it weird to fix a monetary value on something that I've done for free for my entire life ( at school and uni I mean).
To make it worse my first experience was with a grad student who wanted me to complete her project.
Now being from India, I know that we have a stereotype of doing work for a lower price.
But this girl took the cake.
She wanted me to create a custom Image classifier using tensorflow.
It had to train with live images and then detect those images in the live video feed.
It's quite simple but still training the basic network(which would be used to just detect features) would take a decent amount of time and effort.
No pre trained models was also a prerequisite for her.
After hearing all her requirements I asked her what price she was willing to pay.
She said 50$ lump sum.
Being really confused as to what to say to that I just stopped replying.
To this day I have no clue what would be a reasonable price to quote a client like that.
After that I just continued dealing with people I knew personally and am currently doing that as an internship. But entering the proper freelancing system again has become a kinda weird thing in my head now, since I have no clue as to what price to put on my skills.
Is there any advice that any of the more experienced people would give?
Also consider the fact that I'm relatively fresh out of college and have no corporate experience.
Even if you've read my rant and have no advice it's okay. I guess this is a path of self realization after all.

I once had a team member who was a self proclaimed technology expert. He was even interviewed on national TV for his opinions on telecoms, net neutrality and the ITC sector in our humble island.

this guy, for several months, probably to this day, cannot figure out how to set his password for his company Gmail account. he could never figure how to use Google drive, docs or any of the most basic tools.

he has no training in any development practices or languages. he did history in college and didn't even finish, but.....somehow he was able to watch half of an HTML tutorial online and then land himself a remote web dev job earning $45 USD/hr!!!!! i still dont know how he did that.

I'm am three parts upset, one part in awe of how far he has gotten just by talking to people.

If anyone has a moment.

curious if i'm fucking something up.

model:

self.linear_relu_stack = nn.Sequential(
nn.Linear(11, 13),
nn.ReLU(),
# nn.Linear(20, 20),
# nn.ReLU(),
nn.Linear(13,13),
nn.ReLU(),
nn.Linear(13,8),
nn.Sigmoid()
)

Inputs:

def __init__(self, targetx, targety, velocityx, velocityy, reloadtime, theta, phi, exitvelocity, maxtrackx, maxtracky,splashradius) -> None:

# map to 1 and 2
self.Target: XY = XY(targetx, targety)
# map to 3 and 4
self.TargetVel: XY = XY(velocityx, velocityy)
# TODO: this may never be necessary as targeting and firing is the primary objective
# map to 5, probably not yet needed may never be.
self.ReloadTime:float = reloadtime
# map to 6 and 7
self.TurretOrientation: Orientation = Orientation(theta, phi)
# map tp 8
self.MuzzleVelocity:float = exitvelocity
# map to 9 and 10, see i don't remember the outcome of this
# but i feel it should work. after countless bits of training data added.
# i can see how this would fuck up if exact values were off or there was a precision error
# maybe firing should be controlled by something else ?
self.MaxTrackSpeed: Orientation = Orientation(maxtrackx, maxtracky)

# these are for sigmoid output, any positive value of x will produce between 0.5 and 1.0 as return value
# from the sigmoid function.
self.OutMin = 0.5
self.OutMax = 1.0

# this is the number of meters radius that damage still occurs when a projectile lands.
# to be used for calculating where a hit will occur.
self.SplashRadius:float = splashradius

Outputs:
def __init__(self, firenow, clockwise,cclockwise,up,down,oor, hspeed, vspeed) -> None:
self.FireNow = float(firenow)
self.RotateClockWise = float(clockwise)
self.RotateCClockWise = float(cclockwise)
self.MoveUp = float(up)
self.Down = float(down)
self.OutOfRange = float(oor)
self.vspeed = float(vspeed)
self.hspeed = float(hspeed)

I have hoed around in different technologies during my university life, Web dev, game dev, cybersecurity (even got a CEH certificate, the training wasn't adequate tho and it's an expensive field needing all those certs), tried blockchain, machine learning but at the end, I haven't gotten anything done. No big projects.... well, apart from a miniproject that extracts text from videos, doesn't work half the time (T-T), No internships...no experience, nothing. I was really, reaaally dumb xD

Now, in my 4th and final year of university , I have decided to settle on Web development (MERN) with game dev on the side (leisure activities), but I need advice.

Before deciding my path, I enrolled in the year-long ALX Software Engineering course. I'm in my 6th month. It promises access to The Room, where they say job opportunities that aren't shared publicly exist. Problem with the course, tho, is they rush, and I don't get time to consolidate what I learn in the course. I feel like i am not gaining anything (first few months were cool). I am on the verge of giving up cos I found solace in FullStackOpen. It teaches MERN, is self-paced, and ergo gives me time to build my portfolio and has a nice community. I know what to do (quit and focus on my portfolio and projects cos my CV is crap ), but advice from you all could really help. Thanks in advance seniors, this little brother appreciates it.

I think here the CS degree/experience just gives you training basically to pass this technical interviews which has been a constant problem because 99% of the work you actually do, you ain't gonna need it. (I don't work at big tech companies but pretty sure it's the same, have to be very Senior and leading a project before you really need to think about this stuff?)

I don't have a CS degree unfortunately, completely self taught, but that experience while "impressive" to interviewers doesn't seem to matter much when do how do you implement a red black tree or quick-sort.

I may know the difference in general but I don't fucking care to remember the details as YAGNI... If rather remember the things I need every day