Omfg this fucking guy!!!!

Context:

We are going through a major refactor of some of our backend components. I was tasked with cleaning up our ML code while another guy was tasked with cleaning up the general CRUD side of the backend, let's call him DA for "dumb ass".

** At 11pm
DA: I am getting a strange error from your backend. Look:

"Invalid call: method=PUT expected=[POST]"

Me: you need to send a post request not a put request

DM: no, it's not that. I am sending the right thing

Me: ... Let me see...

* 15min ish of testing *

No, it works fine on my version, 1.1.0 what's your version?

DM: I'm on 1.1.0.

Me: send me code?

DM: *send

"request.put(..."

Me: you are sending a PUT... It's literally in the screenshot. Send a Post

DM: I am

Me: no, send a Post

DM: I don't understand, I am sending the request

Me: it's a post not a put

DM: but...

Me: it's a post not a put
Me: good night!!!!!!

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.

It seems like every other day I run into some post/tweet/article about people whining about having the imposter syndrome. It seems like no other profession (except maybe acting) is filled with people like this.

Well lemme answer that question for you lot.

YES YOU ARE A BLOODY IMPOSTER.

There. I said it. BUT.

Know that you're already a step up from those clowns that talk a lot but say nothing of substance.

You're better than the rockstar dev that "understands" the entire codebase because s/he is the freaking moron that created that convoluted nonsensical pile of shit in the first place.

You're better than that person who thinks knowing nothing is fine. It's just a job and a pay cheque.

The main question is, what the flying fuck are you going to do about being an imposter? Whine about it on twtr/fb/medium? HOW ABOUT YOU GO LEARN SOMETHING BEYOND FRAMEWORKS OR MAKING DUMB CRUD WEBSITES WITH COLOR CHANGING BUTTONS.

Computers are hard. Did you expect to spend 1 year studying random things and waltz into the field as a fucking expert? FUCK YOU. How about you let a "doctor" who taught himself medicine for 1 year do your open heart surgery?

Learn how a godamn computer actually works. Do you expect your doctors and surgeons to be ignorant of how the body works? If you aspire to be a professional WHY THE FUCK DO YOU STAY AT THE SURFACE.

Go learn about Compilers, complete projects with low level languages like C / Rust (protip: stay away from C++, Java doesn't count), read up on CPU architecture, to name a few topics.

Then, after learning how your computers work, you can start learning functional programming and appreciate the tradeoffs it makes. Or go learn AI/ML/DS. But preferably not before.

Basically, it's fine if you were never formally taught. Get yourself schooled, quit bitching, and be patient. It's ok to be stupid, but it's not ok to stay stupid forever.

/rant

Hello again, everyone. As Sunday comes to a close, and Monday is fast approaching, I'll share with you the likely cause of my death by stroke and/or heart attack:
MONDAY MORNING COFFEE OF HORROR
Disclaimer: Do NOT try this. I am a professional addict. I am not responsible for anything this brew from hell causes to you and/or those around you.
So, I wake up, feeling like I haven't slept for days, or just notice the fucking alarm clock shrieking because I pulled an all-nighter.
Step 1: Silence alarm clock via mild violence.
Step 2: Get the coffee machine to brew some filter coffee (espresso works too)
Step 3: Get milk and ice cubes from the fridge (both are needed, I don't care if you don't like milk, trust me)
Step 4: Get 2 spoonfuls (not tea spoon, and actually FULL spoonfuls) into the biggest glass you have
Step 5: Pour just a little of the warm filter coffee into the glass, just to get the instant coffee wet enough, and start mixing, until the result looks like the horror you unleashed in your toilet a few minutes ago (and will do so again in a few)
Step 6: Mix in 25-50 ml milk, just for the aesthetic change of colour of the devil-brew, and to add the necessary amount of lactic acid to react with the coffee to produce chemical X
Step 7: Add ice cubes to taste (if you are new to this, add a lot)
Step 8. Slowly add the filter coffee while mixing furiously, so that the light brown paste at the bottom get dissolved (it's harder than it sounds)
Now, take a deep breath. Before you is a disgusting brew undergoing a chemical reaction, and your moves need to be precise otherwise it will explode. Note that sugar or any other form of sweetener is FORBIDDEN, as it will block the reaction chain and the result won't be as potent.
Take a straw (a big one, not those needle-like ones that some cafeterias give to fool you into believing that the coffee is more than 150ml). Put it inside the mix, and check that the route to the bathroom is free of obstacles.
Now, clench your abs, close your nose if you are new to this, grab the straw and DRINK!
DRINK LIKE THERE IS NO TOMORROW!
THAT BROWN DEVIL'S BILE WILL HAVE YOUR INTESTINES SPASM AND DANCE THE MACARENA WHILE TWIRLING A HULA HOOP!
YOUR HEART WILL GO OVERDRIVE HARDER THAN YOUR PC'S CPU WHEN COMPILING ON ECLIPSE AND BROWSING WITH IE AT THE SAME TIME.
The combination of caffeine and lactic acid will bring out the perfectly disgusting combination of sour and bitter usually expected in rotting lemons. After you manage to chug it down (DON'T SPILL OR SPIT ANY!) you have 30 - 60 seconds max to run to the porcelain throne, where you will spend the next 30-60 minutes.
After that, nothing can stop you! You will fix bugs, write entire codebases from scratch, punch that annoying coworker, punch that boss! You will be a demigod among mortals for the next 6-8 hours!
Your recipes for Monday morning coffee?

If ML algorithms mess with us, NO DEBUGGING... That's it, no MERCY AT ALL!!!

That moment when my boss pitched his blockchain & cryptocurrency idea to me.

I can't figure out shit..
To be honest I created this profile just so I can write down somewhere what I am going through.
So, once upon a time I had graduated from college and went right into a corporate (has only been 2 years since). I was fortunate enough that I got assigned a project that was just starting, and even though I had no clue what was going on, I started doing whatever was assigned.
I initially worked in java and then finished all my tasks earlier than expected, so they switched me to another C++ project that builds on top of it.
Fast forward 2.5 years, I'm now the team lead of the CPP project and all my friends who were in the core team have left the company.
As usual, the reason behind it is shitty management. These mfs won't hire competent people and WILL ABSOLUTELY NOT retain the ones that are. I can feel it in my bones that it is time for me to leave, but fuck me if I understand what I am good at.
I have been able to handle all the tasks that they threw at me, be it java or c++ - just because I love logic and algorithms. I have been dabbling in ML and AI since 4-5 years now, but could never go into it full time.
Now I'm looking at the job postings and Jesus Christ these bitches do not understand what they want. I have to be expert in 34567389 technologies, mastering each of whom (by mastering I mean become proficient in) would need at least 6-8 months if not more, all with 82146867+ years of experience in them.
I don't know if I am supposed to learn on Java (so spring boot and stuff) or I'm supposed to do c++ or I'm gonna go with Python or should I learn web dev or database management or what.
I like all of these things, and would likely enjoy working in each of these, but for fucks sake my cv doesn't show this and most of the bitch ass recruiter portals keep putting my cv in the bin.
Yeah...
If you have read so far, here's a picture of a cat and a dog.

People want AI,ML, Blockchain implementation in their projects very badly and blindly and expect developer to just get it done no matter how stupid something sounds.

--India

Ok friends let's try to compile Flownet2 with Torch. It's made by NVIDIA themselves so there won't be any problem at all with dependencies right?????? /s

Let's use Deep Learning AMI with a K80 on AWS, totally updated and ready to go super great always works with everything else.

> CUDA error
> CuDNN version mismatch
> CUDA versions overwrite
> Library paths not updated ever
> Torch 0.4.1 doesn't work so have to go back to Torch 0.4
> Flownet doesn't compile, get bunch of CUDA errors piece of shit code
> online forums have lots of questions and 0 answers
> Decide to skip straight to vid2vid
> More cuda errors
> Can't compile the fucking 2d kernel
> Through some act of God reinstalling cuda and CuDNN, manage to finally compile Flownet2
> Try running
> "Kernel image" error
> excusemewhatthefuck.jpg
> Try without a label map because fuck it the instructions and flags they gave are basically guaranteed not to work, it's fucking Nvidia amirite
> Enormous fucking CUDA error and Torch error, makes no sense, online no one agrees and 0 answers again
> Try again but this time on a clean machine
> Still no go
> Last resort, use the docker image they themselves provided of flownet
> Same fucking error
> While in the process of debugging, realize my training image set is also bound to have bad results because "directly concatenating" images together as they claim in the paper actually has horrible results, and the network doesn't accept 6 channel input no matter what, so the only way to get around this is to make 2 images (3 * 2 = 6 quick maths)
> Fix my training data, fuck Nvidia dude who gave me wrong info
> Try again
> Same fucking errors
> Doesn't give nay helpful information, just spits out a bunch of fucking memory addresses and long function names from the CUDA core
> Try reinstalling and then making a basic torch network, works perfectly fine
> FINALLY.png
> Setup vid2vid and flownet again
> SAME FUCKING ERROR

> Try to build the entire network in tensorflow
> CUDA error
> CuDNN version mismatch
> Doesn't work with TF
> HAVE TO FUCKING DOWNGEADE DRIVERS TOO
> TF doesn't support latest cuda because no one in the ML community can be bothered to support anything other than their own machine
> After setting up everything again, realize have no space left on 75gb machine
> Try torch again, hoping that the entire change will fix things

At this point I'll leave a space so you can try to guess what happened next before seeing the result.

Ready?

3

2

1

> SAME FUCKING ERROR

In conclusion, NVIDIA is a fucking piece of shit that can't make their own libraries compatible with themselves, and can't be fucked to write instructions that actually work.

If anyone has vid2vid working or has gotten around the kernel image error for AWS K80s please throw me a lifeline, in exchange you can have my soul or what little is left of it

Big title games

Console to Mobile: redesign the game to make it easy to play

Console to PC: just port the game, keep the console keys but remap them... randomly so it makes no logical sense and is impossible to remember or easy to press when needed (at least to me)

I guess ditching games on PC years ago was the right move but now I have A way overpowered computer... (Gonna take a while to get around to that ML stuff I had planned... Prolly taking a React/Native die first and maybe do some also for interviewing)

Why do people jump from c to python quickly. And all are about machine learning. Free days back my cousin asked me for books to learn python.
Trust me you have to learn c before python. People struggle going from python to c. But no ml, scripting,

And most importantly software engineering wtf?
Software engineering is how to run projects and it is compulsory to learn python and no mention of got it any other vcs, wtf?

What the hell is that type of college. Trust me I am no way saying python is weak, but for learning purpose the depth of language and concepts like pass by reference, memory leaks, pointers.

And learning algorithms, data structures, is more important than machine learning, trust me if you cannot model the data, get proper training data, testing data then you will get screewed up outputs. And then again every one who hype these kinds of stuff also think that ml with 100% accuracy is greater than 90% and overfit the data, test the model on training data. And mostly the will learn in college will be by hearting few formulas, that's it.

Learn a language (concepts in language) like then you will most languages are easy.

Cool cs programmer are born today😖

My neural networks journey so far:
Look up tutorials -> see that Python is a popular tool for ML -> install Python -> pip install scipy -> breaks with some weird error involving BLAS library code -> spend half an hour fixing it -> try installing Theano -> breaks because my USERNAME HAS A SPACE IN IT LIKE SERIOUSLY? WTF -> make new account without a space in the name -> repeat till Theano -> run tests, found out that I didn't install CUDA support -> scrap the install and redo with CUDA support -> CUDA libraries take forever to download on shitty internet -> run tests -> breaks with some weird Theano compiler error -> go crying to friend -> friend tells me about Anaconda -> scrap the previous install and download Anaconda over shitty connection -> mess up conda environments because noobishness -> scrap, retry -> YESS I FINALLY GOT IT WORKING TIME TO DO SOME LEARNI-crap it's 4 in the morning already.

I realize that I'm a Python noob (and also, uni computers with GPUs have preconfigured Windows installed only, no Linux), but is installing Python libraries always such a pain? Am I doing something wrong? Installing via Anaconda felt like cheating, tbh.

My last job before going freelance. It started as great startup, but as time passed and the company grew, it all went down the drain and turned into a pretty crappy culture.

Once one of the local "darling" startups, it's now widely known in the local community for low salaries and crazy employee churn.

Management sells this great "startup culture", but reality is wildly different. Not sure if the management believes in what the are selling, or if they know they are selling BS.

- The recurring motto of "Work smarter, not harder" is the biggest BS of them all. Recurring pressure to work unpaid overtime. Not overt, because that's illegal, but you face judgement if you don't comply, and you'll eventually see consequences like lack of raises, or being passed for promotions in favour of less competent people that are willing to comply.

- Expectation management is worse than non-existent. Worse, because they actually feed expectations they have no intention of delivering on. (I.e, career progression, salary bumps and so on)

- Management is (rightfully) proud of hiring talented people, but then treat almost everyone like they're stupid.

- Feedback is consistently ignored.

- Senior people leave. Replace them with cheap juniors. Promote the few juniors that stay for more than 12 months to middle-management positions and wonder where things went wrong.

- People who rock the boat about the bad culture or the shitty stunts that management occasionally pulls get pushed out.

- Get everyone working overtime for a week to setup a venue for a large event, abroad, while you have everyone in bunk rooms at the cheapest hostel you could find and you don't even cover all meal expenses. No staff hired to setup the venue, so this includes heavy lifting of all sorts. Fly them on the cheapest fares, ensuring nobody gets a direct flight and has a good few hours of layover. Fly them on the weekend, to make sure nobody is "wasting time" travelling during work hours. Then call this a team building.

This is a tech recruitment company that makes a big fuss about how tech recruitment is broken and toxic...
Also a company that wants to use ML and AI to match candidates to jobs and build a sophisticated product, and wanted a stronger "Engineering culture" not so long ago. Meanwhile:

- Engineering is shoved into the back seat. Major company and product decisions made without input from anyone on the engineering side of things, including the product roadmaps.

- Product lead is an inexperienced kid with zero tech background -> Promote him to also manage the developers as part of the product team while getting rid of your tech lead.

- Dev team is essentially seen by management as an assembly line for features. Dev salaries are now well below market average, and they wonder why it's hard to recruit good devs. (Again, this is a tech recruitment company)

I created a curriculum to homeschool myself way up for a MSc in AI/ML/Data Engineer for Application in Health, Automobiles, Robotics and Business Intelligence. If you are interested in joining me on this 1.5yrs trip, let me knw so I can invite you to the slack channel. University education is expensive..can't afford that now. So this would help but no certificate included.

love-hate relationship with Python semi-rant
The year is 2020.

I have already grown accustomed to the idea that in order to do ML without worrying too much about having to completely jump through hoops with the tech stack I have chosen that I would have to settle with Python, which I like.....for small scripts that don't do much other than piping data around or doing simple admin tasks, that is generally our use of Python at work.
For anything bigger I would prefer something else. Not because I find anything inherently horrible in Python, I find it to be a nice language overall, that has made it possible for many to find a passion inside of the world of development and possibly an interesting in overall engineering and computer science principles. Much respect Python, good game Guido VR, what you did changed the world.

But it is that damn whitespace that gets me, the need to use it as a way to properly write blocks, I just can't make myself like syntactical whitespace no matter what I do. I can do without static typing, shit I did it for the longest time with JS way tf before Node and Typescript were a thing, and I have done it before PHP's attempt at having type hints, which still leave much to be desired. Ruby(imho) the most elegant language around doesn't have it and that is fine really, it does not bother me as much, if mypy gets powerful and widely adopted enough it will then be a non-issue.

But another thing that the 4 languages i mentioned before have is non-existent syntactical whitespace......I just can't stand it.

So, why am I saying all of this nonsense? Today I wanted to recreate a conda environment and landed on the use of YAML............which has syntactic whitespace and I lost my shit.

I seldom bitch about languages and technologies, shit, I used VBScript before, not only did I get paid handsomely for it, but I fucking enjoyed it(probably cuz I am a masochist).

But two things I cannot abide: VBA and syntactic whitespace.

Once I get enough knowledge for it I will push for the same level of tooling in Python to be ported to Scala.

Thank you for coming to my whiny post about something as small as bitching about syntactic whitespace.

I just told my director that the solution for a particular problem that we have involves Machine Learning. For which I had already applied a VERY small app to make sense of an old database to make a NEW one since the old one broke every notion of how a db is supposed to be set (meaning that I recreated the project from scratch)

And on the same message I told him that I was not willing to do it using M.L since I was not paid enough to bring this level of heat to the institution.

Normalize telling mfkers that your skills are worth more.

I am paid well, but not enough to out of the blue tell mfkers that my ml based algo can save them./

Fuck em, fuck em hard, fuck em good, fuck em without even using spit.

I don't do this shit because I am paSSiOnate, since there lies the trap: "I mean, I love it so I guess I can do it, I do this on my free time either way" <---- no bitch, shit is expensive on the real world, don't do that wtf is the matter with you? *slaps* companies don't see it as a: "oh shit, employee X can do this! value!" they see it as "greaaaaat, I can save money on this", so fuck em.

Normalize it, y'all are wizards, advisors of kings, no company today survives without I.T. About motherfucking time y'all bitches take this shit by the horns and do with it what you want.

People form third world countries that need work: shit don't apply to you, currently, but we will make it apply to you on the rising, my kings, stay strong.

So I found this consulting job a while ago thinking that some extra cash while studying would be nice to have.

I meet with the guy, a researcher trying to start a business up, good for him I think, maybe we'll hit it off, continue working, why not? Except he has no clue how to write working code, all he ever did was writing matlab scripts he says, thats why he hired me he says.
Okay, fine, you do your job I do mine.

He hands me the contract, its about comparing two libraries, finding out which one is better suited for his job, cool, plots and graphs everywhere.

Except this is an unpaid job. YOU WHAT?! It's a test job. FINE. At least it'll look good on my resume.

We talk about the paid part where I'm supposed to scale the two libraries, looks good, as expected from an ML engineering perspective. It comes to payment. The dude has no idea how taxes work, says he has a set amount to pay and not a penny more. I explain with examples how taxes are paid, how you get reimbursed for them and so on. Won't budge. Screws me over.

Opens the door for other jobs I think, he'll learn next time I think and take the job.

Fast forward a month, 90% of the job done, he adds a third thing to compare. Gives a github link to a repo with 2 authors, last commit a year ago. There are links to a 404, claiming compiled jars. Fuck.

Not my first rodeo, git clone that shit, make compile, the works. The thing uses libs that ain't in no repo, that would be too easy. Run, error, find lib, remake all the things, rinse repeat.

The scripts they got have hardcoded paths and filenames for 2 year old binaries, remake that shit.

It works, at least I get a prompt now. Try the example files they got, no luck, some missing unlinked binary somewhere, but not a name mentioned. Cross reference the shit outta the libs mentioned on readme, find the missing shit, down it.

Available versions are too new, THE MOLDING NUTCRACKER uses some bug in an old version of the lib.

I give up. Fuck this. This ain't worth the money OR time. Wanker...

Tired of hearing "our ML model has 51% accuracy! That's a big win!"

No, asshole, what you just built is a fucking random number generator, and a crappy one moreover.

You cannot do worse than 50%. If you had a binary classification model that was 10% accurate, that would be a win. You would just need to invert the output of the model, and you'd instantly get 90% accuracy.

50% accuracy is what you get by flipping coins. And you can achieve that with 1 line of code.

Running a fucking conda environment on windows (an update environment from the previous one that I normally use) gets to be a fucking pain in the fucking ass for no fucking reason.

First: Generate a new conda environment, for FUCKING SHITS AND GIGGLES, DO NOT SPECIFY THE PYTHON VERSION, just to see compatibility, this was an experiment, expected to fail.

Install tensorflow on said environment: It does not fucking work, not detecting cuda, the only requirement? To have the cuda dependencies installed, modified, and inside of the system path, check done, it works on 4 other fucking environments, so why not this one.

Still doesn't work, google around and found some thread on github (the errors) that has a way to fix it, do it that way, fucking magic, shit is fixed.

Very well, tensorflow is installed and detecting cuda, no biggie. HAD TO SWITCH TO PYHTHON 3,8 BECAUSE 3.9 WAS GIVING ISSUES FOR SOME UNKNOWN FUCKING REASON

Ok no problem, done.

Install jupyter lab, for which the first in all other 4 environments it works. Guess what a fuckload of errors upon executing the import of tensorflow. They go on a loop that does not fucking end.

The error: imPoRT eRrOr thE Dll waS noT loAdeD

Ok, fucking which one? who fucking knows.

I FUCKING HATE that the main language for this fucking bullshit is python. I guess the benefits of the repl, I do, but the python repl is fucking HORSESHIT compared to the one you get on: Lisp, Ruby and fucking even NODE in which error messages are still more fucking intelligent than those of fucking bullshit ass Python.

Personally? I am betting on Julia devising a smarter environment, it is a better language already, on a second note: If you are worried about A.I taking your job, don't, it requires a team of fucktards working around common basic system administration tasks to get this bullshit running in the first place.

My dream? Julia or Scala (fuck you) for a primary language in machine learning and AI, in which entire environments, with aaaaaaaaaall of the required dlls and dependencies can be downloaded and installed upon can just fucking run. A single directory structure in which shit just fucking works (reason why I like live environments like Smalltalk, but fuck you on that too) and just run your projects from there, without setting a bunch of bullshit from environment variables, cuda dlls installation phases and what not. Something that JUST FUCKING WORKS.

I.....fucking.....HATE the level of system administration required to run fucking anything nowadays, the reason why we had to create shit like devops jobs, for the sad fuckers that have to figure out environment configurations on a box just to run software.

Fuck me man development turned to shit, this is why go mod, node npm, php composer strict folder structure pipelines were created. Bitch all you want about npm, but if I can create a node_modules setting with all of the required dlls to run a project, even if this bitch weights 2.5GB for a project structure you bet your fucking ass that I would.

"YOU JUST DON'T KNOW WHAT YOU ARE DOING" YES I FUCKING DO and I will get this bullshit fixed, I will get it running just like I did the other 4 environments that I fucking use, for different versions of cuda and python and the dependency circle jerk BULLSHIT that I have to manage. But this "follow the guide and it will work, except when it does not and you are looking into obscure github errors" bullshit just takes away from valuable project time when you have a small dedicated group of developers and no sys admin or devops mastermind to resort to.

I have successfully deployed:
Java
Golang
Clojure
Python
Node
PHP
VB/C# .NET
C++
Rails
Django

Projects, and every single fucking time (save for .net, that shit just fucking works on a dedicated windows IIS server) the shit will not work with x..nT reasons. It fucking obliterates me how fucking annoying this bullshit is. And the reason why the ENTIRE FUCKING FIELD of computer science and software engineering is so fucking flawed.

But we can't all just run to simple windows bs in which we have documentation for everything. We have to spend countless hours on fucking Linux figuring shit out (fuck you also, I have been using Linux since I was 18, I am 30 now) for which graphical drivers for machine learning, cuda and whatTheFuckNot require all sorts of sys admin gymnasts to be used.

Y'all fucked up a long time ago. Smalltalk provided an all in one, easily rollable back to previous images, easily administered interfaces for this fileFuckery bullshit, and even though the JVM and the .NET environments did their best to hold shit down, and even though we had npm packages pulling the universe inside, or gomod compiling shit into one place NOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO we had to do whatever the fuck we wanted to feel l337 and wanted.

Fuck all of you, fuck this field, fuck setting boxes for ML/AI and fuck every single OS in existence

INTERVIEW. It tells everything about the company. I recently applied for a "big" company for the position of ML Engineer. The Job description was like "someone with good knowledge of visual recognition, deep learning, advanced ML stuff, etc." I thought great, I might be a good fit. A guy called me the next day. Introduced himself as a manager of the Data Science team with 8+ years of experience. Started the talk saying "it is just an informal intro". But things escalated very quickly. Started shooting Data Science questions. He was asking questions in a very bookish way. Tells me to recite formulas (like big formulas). When I explained to him a concept, he was not understanding anything. Wanted a very bookish answer. I quickly realized I know more about ML stuff than him (not a big deal) and he is arrogant as fuck (not accepting my answers). Plus, he has no knowledge about Deep Learning. At the very end, he tells me "man, you need to clear up your fundamentals". WTH??? My fundamentals. Okay, I am not Einstein or Hinton, but I know I was answering things correctly. I have read books and research papers and blogs and all. When I don't know about things, I tell straight away. I don't cook answers. So the "interview" ended. I searched that man on LinkedIn. Got to know he teaches college students Data Science and ML. For a fee of 50,000 INR. It's a big amount!! Considering the things he teaches. You can find the same stuff (with far higher quality) free of cost (on Coursera, Udacity, YouTube, free books, what not). He is a cheater. He is making fool of college students. That is why I sometimes hate "experience". 8+ years of exp and he is such an a**hole!! BTW, I thanked God for saving me from that company. Can't imagine such an arrogant boss.

TLDR: Be vigilant during interviews. It tells a lot about the company.

I just felt like Google is the best player out there in terms of Companies.
Seriously, Well played Google.
This is not a negative opinion, I am just awe-struck at its tactics.
See, Google is currently the biggest name in terms of development in Android, ML and multi-platform software but no one can say it being a monopoly due to its dedication to open source community.
Recently Android emerged out to be One of the Biggest , most advanced, trusted and loved Technology . It saw great achievements, and up till 2016-17, it was at its peek. BUT when the market started shifting towards multi-platform boons and Ai, it got its hands into that too with its flutter and kotlin environment
One could have a negative opinion about this, But i can't seem to engulf the vast amounts of positive situations i see in this:
1) this IO18 (and many months before that) saw ML/AI being incorporated in Android (also the arcore, proje tango and many more attempts in the past) meaning that Android will not officially "die". It will just become an extremely encouraged platform( not just limited to mobiles) and a beginning of the robot -human reality ( a mobile is handling everything of your everyday life: chats, music apps sxhedules, alarms, and with an actively interacting ML, it won't be long when Android comes installed in a green bug lime droid robot serving you tea xD). Meanwhile the market of Windows games may shift to mobiles or typically " Android games" (remember, Android won't be limited to mobiles)
2)java may or may not die. The animations and smooth flow it seems to provide is always appreciated but kotlin seems to do so too. As for the hard-core apps, they are usually written in c++ .So java is in the red zone
3) kotlin-native and Flutter will be the weapons of future , for sure. they will be developing multi-platform softwares and will be dividing the market of softwares into platform specific softwares(having better ml/ai interactions,animations) and platform independent apps(access and use anywhere softwares).
And where does google stand?Its the lord varys of game of thrones which just supports and enhances the people in the realm. So it benefits the most . That's a company for you, ladies and gentlemen! If seen from common eyes they seem to be the best company ever and our 1 true king but it can also be a very thick fur cloak hiding their negetive policies and tactics , if any.

Well played, Google.

I just can't stress enough how fascinated I am by biology and biochemistry.

I mean, we, who call ourselves engineers, are no more but a gang of toddlers having a blast with jumbo legos on Aunt Lucy's dining room carpet on a sunny Sunday afternoon. Our solutions using "modern tools" and "modern engineering" are mere attempts to *very* remotely mimic what beautiful and elegant solutions are around us and inside of each of us.

IC/EC engines, solar batteries, computers and quantum computers, spaceships and ISSes, AI/ML, ... What are they? just the means to leverage what's been created all around us to create something that either entertains us, encourages our laziness or helps us to look at the other absolutely fascinating engineering solutions surrounding us so we could try and "replicate" their working principles to further embrace our laziness and entertain us.

Just look at the humble muscle - a myofibril made out of actin and myosin. The design is soooo simple and spot on, so elegant and efficient, the "battery" and signalling system are so universal and efficient.

Look at all those engineering miracles, small and big. Look how they work, how they leverage both big and small to create holistic, simplistic and absolutely efficient mechanisms. And then come back to me, and tell me again that all these brilliant solutions came out of nothing just by an accident we call "evolution".

How blinded by our narcissism are we to claim that there can't be a grand designer of any kind, that there's nothing smarter than us and that the next best thing than us is an incomprehensible series of accidental mutations over an unimaginable amount of time?

I mean.. could it be that someone/something greater than us created us and everything around us? naaaah.. we are the crown jewel of this universe. Everything else must be either magic or an accident. /s

Don't read this as yet another crazy-about-God person's ramblings. I'm not into religion fwiw. But science has taught me enough critical thinking to question its merit. Look at it all as engineers. Which is more probable: that everything around us happened by an accident or that someone/something preceding us had a say in the design?

Recently I receive a ton of mails from cool/hip/rockstar startups. They all run like this:

"We are a innovative Startup based on a [insert some random stuff or buzzword] blockchain! If you're a student with skills and experience in blockchain, machine learning and AI willing to change the world with our sick technology and make it a better place..."

The best thing about this: since they are a innovative Startup they expect you to work for free.

But who am I to judge something so brand-new and innovative. I contacted them to find out what these dank innovations are about.

They can't even explain what a blockchain is or the basics of ML and AI, they basically just want someone do it for free...

It's still ok since no one is gonna fall for this bait... this morning a friend of mine told me he got a new job... and he even can work from home...

I'm not even mad, I just feel sadness and sorrow specially for him, because he is a good dev and accepts big times underpay and now free work, because he thinks a day off in his CV will lead him to be unemployed 😭

Fucking hate it how people successfuly manipulate kids and youth to them to work 24/7 for minimum wage or even for free and some other douchebags trying to take advantage of this 😡

I sometimes feel like some people's comments on devrant are enough for a mental health crisis diagnosis. I wonder, how can we diagnose people through text? And can, let's say, ML do any better.

I mean; let's say for example abusive behaviors. This may be an online community but that doesn't stop some from abusing others, right? But the only form of communication here is text, right? What if you could diagnose... Not even that. What if you could inform a mental health expert about a toxic behavior online? We do have a lot of "internet policing" but we have no "internet mental health help" for toxic behaviors and attempts to mitigate that. I don't mean banning people. I mean literally in simplest form tag a psychotherapist in the convo.

Just thinking. :)

Why is it that virtually all new languages in the last 25 years or so have a C-like syntax?

- Java wanted to sort-of knock off C++.
- C# wanted to be Java but on Microsoft's proprietary stack instead of SUN's (now Oracle's).
- Several other languages such as Vala, Scala, Swift, etc. do only careful evolution, seemingly so as to not alienate the devs used to previous C-like languages.
- Not to speak of everyone's favourite enemy, JavaScript…
- Then there is ReasonML which is basically an alternate, more C-like, syntax for OCaml, and is then compiled to JavaScript.

Now we're slowly arriving at the meat of this rant: back when I started university, the first semester programming lecture used Scheme, and provided a fine introduction to (functional) programming. Scheme, like other variants of Lisp, is a fine language, very flexible, code is data, data is code, but you get somewhat lost in a sea of parentheses, probably worse than the C-like languages' salad of curly braces. But it was a refreshing change from the likes of C, C++, and Java in terms of approach.

But the real enlightenment came when I read through Okasaki's paper on purely functional data structures. The author uses Standard ML in the paper, and after the initial shock (because it's different than most everything else I had seen), and getting used to the notation, I loved the crisp clarity it brings with almost no ceremony at all!

After looking around a bit, I found that nobody seems to use SML anymore, but there are viable alternatives, depending on your taste:

- Pragmatic programmers can use OCaml, which has immutability by default, and tries to guide the programmer to a functional programming mindset, but can accommodate imperative constructs easily when necessary.
- F# was born as OCaml on .NET but has now evolved into its own great thing with many upsides and very few downsides; I recommend every C# developer should give it a try.
- Somewhat more extreme is Haskell, with its ideology of pure functions and lazy evaluation that makes introducing side effects, I/O, and other imperative constructs rather a pain in the arse, and not quite my piece of cake, but learning it can still help you be a better programmer in whatever language you use on a day-to-day basis.

Anyway, the point is that after working with several of these languages developed out of the original Meta Language, it baffles me how anyone can be happy being a curly-braces-language developer without craving something more succinct and to-the-point. Especially when it comes to JavaScript: all the above mentioned ML-like languages can be compiled to JavaScript, so developing directly in JavaScript should hardly be a necessity.

Obviously these curly-braces languages will still be needed for a long time coming, legacy systems and all—just look at COBOL—, but my point stands.

The saddest and funniest side of our industry is (atleast in India): someone works hard and makes it to the best colleges, do great projects on AI, ML; get a good score on Leetcode, codechef; gets a job in FAANG-like companies...

Changes colors in CSS and texts in HTML.

And, why is there so much emphasis on Data Structures and Algorithms? I mean, a little bit is fine, but why get obsessed with it when you never write algorithms in production code?

Now, don't tell me that, we use libraries and we should know what we are doing, no, we don't use algorithms even in libraries.

Now, before you tell me that MySQL uses B-tree for maintaining indexes, you really don't need to solve tricky questions to be able to understand how a B-tree works.

It's just absurd.

I know how to little bit on how design scalable systems.
I know how to write good code that is both modular and extensible.
I know how to mentor interns and turn them into employees.
I know how to mentor junior engineers (freshers) and help them get started.
Heck I can even invert a binary tree.

But some FAANG company would reject me because I cannot solve a very tricky dynamic programming question.

Sooooo ok ok. Started my graduate program in August and thus far I have been having to handle it with working as a manager, missing 2 staff member positions at work, as well as dealing with other personal items in my life. It has been exhausting beyond belief and I would not really recommend it for people working full time always on call jobs with a family, like at a..

But one thing that keeps my hopes up is the amount of great knowledge that the professors pass to us through their lectures. Sometimes I would get upset at how highly theoretical the items are, I was expecting to see tons of code in one of the major languages used in A.I(my graduate program has a focus in AI, that is my concentration) and was really disappointed at not seeing more code really. But getting the high level overview of the concepts has been really helpful in forcing me to do extra research in order to reconnect with some of the items that I had never thought of before.

If you follow, for example, different articles or online tutorials representing doing something simple like generating a simple neural network, it sometimes escapes our mind how some of the internal concepts of the activity in question are generated, how and why and the mathematical notions that led researchers reach the conclusions they did. As developers, we are sometimes used to just not caring about how sometimes a thing would work, just as long as it works "we will get back to this later" is a common thing in most tutorials, such as when I started with Java "don't worry about what public static main means, just write it up for now, oh and don't worry about what System.out.println() is, just know that its used to output something into bla bla bla" <---- shit like that is too common and it does not escape ML tutorials.

Its hard man, to focus on understanding the inner details of such a massive field all the time, but truly worth it. And if you do find yourself considering the need for higher education or not, well its more of a personal choice really. There are some very talented people that learn a lot on their own, but having the proper guidance of a body of highly trained industry professionals is always nice, my professors take the time to deal with the students on such a personal level that concepts get acquired faster, everyone in class is an engineer with years of experience, thus having people talk to us at that level is much appreciated and accelerates the process of being educated.

Basically what I am trying to say is that being exposed to different methodologies and theoretical concepts helps a lot for building intuition, specially when you literally have no other option but to git gud. And school is what you make of it, but certainly never a waste.

Oh no AI can destroy hummanity in the future! It is like skynet and such... Bad! It will be the end! FEAR THE AI!

Yeah so i cant sleep now so im writting a rant about that.

What a load of bullshit.

AI is just a bunch of if elses, and im not joking, they might not be binary and some architectures of ML are more complex but in general they are a lot of little neurons that decide that to output depending on the input. Even humans work that way. It is complicated to analyse it yes. But it is not going to end humanity. Why? Because by itself it is useless. Just like human without arms and legs.

But but but... internet.... nukes... robots! Yeah... So maybe DONT FUCKING GIVE IT BLOODY WEAPONS?! Would you wire a fucking random number generator to a bomb? If you cant predict actions of a black box dont give it fucking influence over anything! This is why goverment isnt giving away nukes to everybody!

Also if you think that your skynet will take control of the internet remember how flawless our infrastructure is and how that infrastructure is so fast that it will be able to accomodate terabytes per second or more throughput needed by the AI to operate. If you connect it to the internet using USB 2.0 it wont be able to do anything bloody dangerous because it cant overcome laws of physics... If the connection isnt the issue just imagine the AI struggle to hack every possible server without knowing about those 1 000 000 errors and "features" that those servers were equiped with by their master programmers... We cant make them work propely yet alone modify them to do something sinister!

AI is a tool just like a nuclear power. You can use it safely but if you are a idiot then... No matter what is the technology you are going to fuck shit up.

Making a reactor that can go prompt critical? Giving AI weapons or controls over something important? Making nukes without proper antitamper measures? Building a chemical plant without the means to contain potential chemical leak? Just doing something stupid? Yeah that is the cause of the damage, not the technology itself.

And that is true for everything in life not only AI.

It's been a while DevRant!

Straight back into it with a rant that no doubt many of us have experienced.

I've been in my current job for a year and a half & accepted the role on lower pay than I normally would as it's in my home town, and jobs in development are scarce.

My background is in Full Stack Development & have a wealth of AWS experience, secure SaaS stacks etc.

My current role is a PHP Systems Developer, a step down from a senior role I was in, but a much bigger company, closer to home, with seemingly a lot more career progression.

My job role/descriptions states the following as desired:

PHP, T-SQL, MySQL, HTML, CSS, JavaScript, Jquery, XML

I am also well versed in various JS frameworks, PHP Frameworks, JAVA, C# as well as other things such as:

Xamarin, Unity3D, Vue, React, Ionic, S3, Cognito, ECS, EBS, EC2, RDS, DynamoDB etc etc.

A couple of months in, I took on all of the external web sites/apps, which historically sit with our Marketing department.

This was all over the place, and I brought it into some sort of control. The previous marketing developer hadn't left and AWS access key, so our GitLabs instance was buggered... that's one example of many many many that I had to work out and piece together, above and beyond my job role.

Done with a smile.

Did a handover to the new Marketing Dev, who still avoid certain work, meaning it gets put onto me. I have had a many a conversation with my line manager about how this is above and beyond what I was hired for and he agrees.

For the last 9 months, I have been working on a JAVA application with ML on the back end, completely separate from what the colleagues in my team do daily (tickets, reports, BI, MI etc.) and in a multi-threaded languages doing much more complicated work.

This is a prototype, been in development for 2 years before I go my hands on it. I needed to redo the entire UI, as well as add in soo many new features it was untrue (in 2 years there was no proper requirements gathering).

I was tasked initially with optimising the original code which utilised a single model & controller :o then after the first discussion with the product owner, it was clear they wanted a lot more features adding in, and that no requirement gathering had every been done effectively.

Throughout the last 9 month, arbitrary deadlines have been set, and I have pulled out all the stops, often doing work in my own time without compensation to meet deadlines set by our director (who is under the C-Suite, CEO, CTO etc.)

During this time, it became apparent that they want to take this product to market, and make it as a SaaS solution, so, given my experience, I was excited for this, and have developed quite a robust but high level view of the infrastructure we need, the Lambda / serverless functions/services we would want to set up, how we would use an API gateway and Cognito with custom claims etc etc etc.

Tomorrow, I go to London to speak with a major cloud company (one of the big ones) to discuss potential approaches & ways to stream the data we require etc.

I love this type of work, however, it is 100% so far above my current job role, and the current level (junior/mid level PHP dev at best) of pay we are given is no where near suitable for what I am doing, and have been doing for all this time, proven, consistent work.

Every conversation I have had with my line manager he tells me how I'm his best employee and how he doesn't want to lose me, and how I am worth the pay rise, (carrot dangling maybe?).

Generally I do believe him, as I too have lived in the culture of this company and there is ALOT of technical debt. Especially so with our Director who has no technical background at all.

Appraisal/review time comes around, I put in a request for a pay rise, along with market rates, lots of details, rates sources from multiple places.

As well that, I also had a job offer, and I rejected it despite it being on a lot more money for the same role as my job description (I rejected due to certain things that didn't sit well with me during the interview).

I used this in my review, and stated I had already rejected it as this is where I want to be, but wanted to use this offer as part of my research for market rates for the role I am employed to do, not the one I am doing.

My pay rise, which was only a small one really (5k, we bring in millions) to bring me in line with what is more suitable for my skills in the job I was employed to do alone.

This was rejected due to a period of sickness, despite, having made up ALL that time without compensation as mentioned.

I'm now unsure what to do, as this was rejected by my director, after my line manager agreed it, before it got to the COO etc.

Even though he sits behind me, sees all the work I put in, creates the arbitrary deadlines that I do work without compensation for, because I was sick, I'm not allowed a pay rise (doctors notes etc supplied).

What would you do in this situation?

Well this is the thing. I have been starting to replace a lot of my shit with Golang. I think it is a great language because of one small fact: it is a boring language.

With this I don't mean that it is not incredibly fun to use. It is and honestly I feel that a lot of the concepts that I had from C passed quite nicely with some additions. The language does not do anything special and there is no elegant code. It works in a very procedural fashion without taking into consideration any of the snazzy things found in JS, Python, c# etc etc. Interfaces and struct make sense to me, way more than oop does in other languages. I don't need generics with the use of interface parameters and I have hadly found a situation in which I have to strive too far away from the way things are done with Go to be happy with it, then again my projects are not hard or by any means groundbreaking (most of them deal with logistics or content management and a couple of financial apps that I am rewriting in Go from work)

The outcome is fast and easy to read since idiomatic go is for the most part very readable(no people...single letter variable names are by no means a standard and they should feel ashamed from it)

I miss the idea of a framework, but not so much and the docs and internal code for Go is just way top inviting. I believe the code to be readable enough than anyone that has gotten used to the syntax and ideas of the language can just jump in and start learning. This is the first language that I have learnt from studying the code as it is inside of the standard lib, the same I cannot say for any other language or framework.

Also, it play beautifully nice with vs code.

I dunno man, I feel that I am doing something wrong. I have projects built in Node, php, python, ruby and spring java as well as .net core and I still find Golang way more appealing simply because it goes harder than Python with "one preferred way" to do things.

The lang does not make me feel like a pro, i certainly develop in it at pro speeds, but it was made with beginners in mind to built fast and concurrent apps, with the most minimal syntax possible.

I guess my gripe with it is that it gets shunned from this, saying that it ignored years of lang research to make it as dumbed down as possible. Which it did, lack of generics amongst other things certainly make it seem like, but I will not say that it was poorly designed. Not at all, I believe it is a testament of amazing engineering. To be able to create such a simple yet amazingly powerful language.

Wish there were more to it. Wish there was a nice gui lib or a ml framework comparable to the ones offered by python and java. But I guess such things will come with time.

I feel stupid with this language.

And that is fine.

I am Graduate student of applied computer science. I am required to select my electives. Now i have to decide between Machine Learning (ML) and Data Visualization. My problem is Machine Learning is very theoretical subject and I have no background in ML in my undergrad. In data visualization, the course is more focused towards D3.js. Due to lack of basic knowledge i am having second thoughts of taking ML. However, this course will be offered in next Fall term. And i am also studying from Coursera to build my background till that time.

I know there is no question here but I need a second opinion from someone experienced. Also, please suggest any other resource that I should look into to build my background in ML.

I was talking to a friend about the current state of machine learning through tensorflow and commented about the use of Javascript as a language.

He discarded the idea as he views Javascript as something that should only be used as a frontend technology rather than something to build backends or deep learning models.

I am thorn. I have always liked Javascript but will admit that I have used it mostly in the area of front end with very few backend instances(i did create a full stack intranet app in Express once, major success for the application it was hosting, it was a very basic api which had its own nosql db with no need to interact with the company's relational data, it was perfect for the occasion and still help maintaining it from time to time)

My boi states that node's biggest issue has always been npm and the quality of packages. I always contradict those statements by saying that if one uses community standards and the best packages then one does not need to worry about the quality(i.e mongoose over some unmaintained mongo wrapper etc)

I sometimes catch myself finding that my way of thinking adapts better to JS than it even does Python (which is his preference for deep learning) and whilst there are some beastly packages for python in terms of quality and usefulness such as matplotlib etc that one can do great things with the equivalent JS.

I mean, tensorflow.js came from the same wizards that did tensorflow (obviously) and i find the functional approach of JS to be more on par with how we develop solutions.

I am no deep learning expert, and sadly I have no professional experience with machine learning. But I venture to say that we should not cast aside the great strides that the JS community has done to the language in terms of evolution and tooling. Today's Js is not your grandaddy's Js and thinking that the language is crippled because of early iterations of the language would be severely biased.

What do you guys(maybe someone with professional experience) think of Js as a language for machine learning?

Do you think the language poses something worth considering in terms of tooling and power for ml?

There are a couple:

A system that updates user accounts to connect them into our wifi system by parsing thousands of processing files written in Clojure. The project was short lived and mainly experimental, It has complete test cases and the jar generated from it is still purring silently on the main application. It was used to replace an $85k vendor application that made no fucking sense. The code has not been touched in 2 years and the jar is still there. The dba mentioned the solution to the vendor, the vendor tried buying it from me, but being that it belongs to the institution nothing was touched, still, it got the VP's attention that I can make programs that would be bought for that level, it caught his attention even more when I showed him the codebase and he recognized a Lisp variant (he is old, and was back in the day a Fortran and Cobol developer)

A small Python categorical ML program that determines certain attributes of user generated data and effectively places them on the proper categories on the main DB. The program generates estimates of the users and the predictions have a 95% correctness rate. The DBA still needs to double check the generated results before doing the db updates. I don't remember how I coded it because I was mostly drunk when I experiment on the scenario. It also got the attention of the VP and director since the web tech manager was apparently doing crazy ML shit that they were not expecting me to do, it made them paranoid that I would eventually leave for a ML role somewhere, still here, but I want more moneys!!

A program that generates PDF documentation from user data, written in Go, Python and Perl (yes Perl) I even got shit from the lead developer since I used languages outside of their current scope of work. Dude had no option but to follow along with it :P since I am his boss

Many more. I am normally proud of my work code. But my biggest moment is my current ntural language processing unit that I am trying to code for my home, but I don't have enough power to build it with my computers, currently, my AI is too stupid, but sometimes it does reply back to my commands and does the things I ask it to do (simple things, opening a browser, search for a song etc) but 7 times out of ten it wont work :P

which one is better?

sitting on a comfortable chair with foot rest,
having very powerful computer,
having the best IDE's with UI designers,
ML based auto completions,
Free food. but $4000 per month

or

sitting on an average chair without foot rest,
having average computer,
having only notepad or vim*, without UI designers
NO auto completions!
paid food. but $40000 per month

* Vim is actually very nice text editor

!rant

Going through my graduate program I have come to realize that there is more to A.I than just machine learning algorithms. As if ML was not complicated enough, we add more to it such as KRR and other topics that border on the areas of Cognitive Science, Boolean Algebra, Logic and even Philosophy and you know what? I dig it. I dig it because finding some of the information in the course that I am getting is damn near impossible to see in other items. Such is the case as a method for fucking signature unit propagation which afuckingparently was developed by one of my instructors(not complaining, just really fucking impressed)

The thing is, most of these items would normally have a parallel in software development that we use on our day to day basis, all of us, no matter if you do web, systems development, database development whatever, the general concepts are the same: you represent real world concepts, such as that of logic and knowledge in programatic/mathematical representations.

I am really amazed at the content of these items, I really am. I just wish for some clarification on ambiguity, seems like most things are left better if it where explained in a programmer's point of view. Most of the items that I have seen could have easily been summarized in a programmers logic if only they would have preferred to take the time to do it, and I get that there needs to be mathematical intuition formulated before anything, it is better sometimes to learn concepts from an outside point of view, a mathematical point of view, but shit is just strange sometimes.

Damn. I am so blessed to have friends that i have. 90% of them don't even care if you live or die (60% of them would be the first to throw me in fire if that's benefitting to them) remaining 10% would be someone that slightly care, but will move on pretty quickly.

But the best thing about 1 of them is that he is bluntly honest , and willing to share his opinion.
Today we were just talking about stuff when i see this placement offer in my mail.

I have been recently feeling bad about my grades, my choice of persuing android , my choice of leaving out many other techs (like web dev or data sciences , whose jobs are coming in so much number in our college) and data structures, and my fear of not getting a good career start.

This guy is also like me in some aspects. He is also not doing any extreme level competitive programming. He doesn't even know android , web dev, ai/ml or other buzz words. He is just good in college subjects. But the fascinating thing about him,is that he is so calm about all of this! I am losing my nuts everyday my month of graduation , aug2020 is coming . And he is so peaceful about this??

So i tried discussing this issue with him .Let me share a few of his points. Note that we both are lower middle class family children in an awful, no opportunity college.

He : "You know i feel myself to be better than most of our classmates. When i see around , i don't see even 10 of them taking studies seriously. Everyone is here because of the opportunity. I... Love computer science. I never keep myself free at home. I like to learn about how stuff works, these networking, the router, i really like to learn."

"That's why i dont fear. Whatever the worst happens , i have a believe that i will get some job. Maybe later, maybe later than all of you , but i will. Its not a problem."

me: "but you are not doing anything bro! I am not doing anything ! So what if our college mates suck , Everyone out there is pulling their hairs out learning data structures, Blockchain, ai ml , hell of shit. But we are not! Why aren't you scared bro? Remember the goldman sach test you gave ? You were never able to solve beyond one question. How did you feel man? And didn't you thought maybe if i gave a year to that , i will be good enough? Don't you too want a good package bro? Everyone's getting placed at good numbers."

Him : "Again, its your thoughts that i am not doing things. I am happy learning at my own pace. Its my belief that i should be learning about networking and how hardware works first , then only its okay to learn about programming and ai ml stuff. I am not going to feel scared and start learning multiple things that i don't even wanna learn now."

"My point is whatever i am doing now, if its related to computers , then someday its gonna help me.
And i am learning ds too , very less at a time. Ds algo are things for people with extreme knowledge. We could have cleared goldman sachs if we had started learning all this stuff from 1st year, spend 2-3 years in it and then maybe we could have solved 2 -3 questions. I regret that a little, but no one told us that we should be doing this."

"And if i tell you my honest thoughts now, you ar better off without it. You are the only guy among us with good knowledge of android , you have been doing that for last 2 years. Maybe you will get better opportunity with android then with ds/algo."

"You know when i felt happy? When we gave our first placement test at sopra. I was thinking of going there all dumb. But at 11 am in night i casually told my brother about this ,and he said that its a good company. So i started studying a little and next day i sat for placement. And i could not believe myself when they told me that am selected. I was shit scared that night, when my dad came and said " you don't even want that job. Be happy that you passed it on your own". And then i slept peacefully that night and gave the most awesome interview the next day."

"Thus now i am confident that wherever my level of skills are, it is enough to get into a job . Maybe not the goldman sachs ,but i will do well enough with a smaller job too."

"Bro you don't even know... All my school mates are getting packages of 8LPA, 15LPA, 35LPA. You see they are getting that because they already won a race. They are all in better colleges and companies which come there, they will take them no matter what (because those companies want to associate themselves with their college tags). But if worst comes to worst, i won't be worried even if i have to go take 4lpa as job offer in sopra"

Damn you Aman Gupta. Love you from all my heart. Thanks for calming me down and making me realise that its okay to be average

Fuck C!
It sucks so badly!
Our College Teachers are Teaching this to us in the first year.

I know many of you will disagree with this.
But I like Python as I am digging into ML/AI and for this domain Python is powerful. I am trying to practice in C language but still, it sucks badly as sometimes I can't even figure out what is the error even after debugging or looking on StackOverflow. Anyways this is a good programming language because of Low TLE and versatility.

Anyways this was my thought. No offense.

This is Devrant so I Typed my frustration.

Saturday evening open debate thread to discuss AI.

What would you say the qualitative difference is between

1. An ML model of a full simulation of a human mind taken as a snapshot in time (supposing we could sufficiently simulate a human brain)

2. A human mind where each component (neurons, glial cells, dendrites, etc) are replaced with artificial components that exactly functionally match their organic components.

Number 1 was never strictly human.
Number 2 eventually stops being human physically.

Is number 1 a copy? Suppose the creation of number 1 required the destruction of the original (perhaps to slice up and scan in the data for simulation)? Is this functionally equivalent to number 2?

Maybe number 2 dies so slowly, with the replacement of each individual cell, that the sub networks designed to notice such a change, or feel anxiety over death, simply arent activated.

In the same fashion is a container designed to hold a specific object, the same container, if bit by bit, the container is replaced (the brain), while the contents (the mind) remain essentially unchanged?

This topic came up while debating Google's attempt to covertly advertise its new AI. Oops I mean, the engineering who 'discovered Google's ai may be sentient. Hype!'

Its sentience, however limited by its knowledge of the world through training data, may sit somewhere at the intersection of its latent space (its model data) and any particular instantiation of the model. Meaning, hypothetically, if theres even a bit of truth to this, the model "dies" after every prompt, retaining no state inbetween.

Being a native Android dev for most of my college days(yet to start a full time professional life), i often feel scared of my life choices.

Like, i chose to go into a field in which am totally on my own . Android is not a subject taught or supported by colleges, so a virtual shelter that every fresher gets, i.e that of a "he's just a college passout, he wouldn't know that" is not for me. I am supposed to be a self learner and a knowledgeable android dev by default.

Other than that , idk why i feel that am having a very specific skillset which would be harmful for me if am not the best at it.

I feel the same for entire Android dev. I mean, its nothing but a very specific hardware device with a small screen and a bunch of lmited sensors. Our tools and apps are limited to just manipulate them to do little fancy stuff offline. Other than that everything (and sometimes even this too) could be achieved by a website/webapp of a web dev.

A particular native android dev don't know how the ML/AI stuff works, don't know how backend stuff works don't know how the cloud stuff works, jeck we don't even know how those unity games work!

We are just some end product makers taking data from somewhere handled by someone and printing them in fancy gui.
(But we are good at ranting about stupid mobile hardware manufacturers, i tell u that)

So am not sure if being an Android dev is a going to be good for me in the future. I mean , a web dev always gets to interact at every level of products, but we can't.

I always feel my future will end up being limited to being good in Android, later shifting to IOS to being completely unemployed because everything is controlled by js and web dev tools and native programming is no longer a thing anymore :/

The industry is sometimes sad and hilarious at the same time. There was a townhall at my workplace and our country head was talking about all the new tech we were working on. Now he is a good business person but I doubt him as a tech guy. And then he went on ranting about AI and ML and how they are to going change the software landscape and how developer as a profession will become obsolete. He said the technology will reach up to a point where we no longer need to write code to build software. Obviously, I couldn't digest it and confronted him the moment after the event.

Me: so why do you think writing code will become outdated?
Him: it's just that we will be able to create a technology through which we can simply command a machine to build a software.
Me: oh. But someone needs to tell the machine how to do it right?
Him: yes. We have to train the machine to act on these commands.
Me: and do you know how you "train" these machines?
Him: umm...
Me: by writing code.

I had registered for Machine Learning course in my university. It's a new course offered after looking at the subjects usage in industry.

The professor handling it ,have completely no idea ,and experience on ML., So yeah
His 1hour lecture is complete stand up comedy show for the students.

So, today he comes and says "ML is based on Probability", and explains probability, like for 8th grade students.

He put this question on the board, telling that ML revolves around concept requirements to solve this question.

Question:
Probability of getting sum of 7 or 11 when a pair of die is thrown?

Guess what, he tried to solve the question and got wrong answer.

I was highly interested in the course,since my project required it and thought it provide me great fundamentals, it's been 3 weeks I regret for opting it.😥

After the "Cloud Computing" trend, the new trends these days seems to be ML, VR and AI. And while I am very excited about all these techs and the possibilities it can bring, I can't help feel that most of us are using the term "AI" a bit incorrectly.
What we are trying to do here, as far as I can see, is VI, not AI. The intelligence we see in the so called "AI"s available so far are simulated and fails to emulate real intelligence, let alone demonstrate actual intelligence and awareness. They are not fully aware. But I guess that is why there is the singularity constraint. It is no doubt that when a VI finally becomes are fully aware AI, that is indeed the point of singularity.

Anyway, leaving the future dystopian thoughts aside, a mixture of ML, "AI" and VR have made some very interesting concepts, especially in the gaming industry, which I would love to see bear fruit in the near future.

I’m trying to update a job posting so that it’s not complete BS and deters juniors from applying... but honestly this is so tough... no wonder these posting get so much bs in them...

Maybe devRant community can help be tackle this conundrum.

I am looking for a junior ml engineer. Basically somebody I can offload a bunch of easy menial tasks like “helping data scientists debug their docker containers”, “integrating with 3rd party REST APIs some of our models for governance”, “extend/debug our ci”, “write some preprocessing functions for raw data”. I’m not expecting the person to know any of the tech we are using, but they should at least be competent enough to google what “docker is” or how GitHub actions work. I’ll be reviewing their work anyhow. Also the person should be able to speak to data scientists on topics relating to accuracy metrics and mode inputs/outputs (not so much the deep-end of how the models work).

In my opinion i need either a “mathy person who loves to code” (like me) or a “techy person who’s interested in data science”.

What do you think is a reasonable request for credentials/experience?

Imagination time.

With all our tech achievements, ai, ml, chatgpt, etc... Do you thing a completely automated future is possible? Automated agriculture, industry, healthcare,... Do you think we will still have finances/currency of any kind? If so - why? And how would we earn them if labour is no longer required [apart from ai/ml engineers]?

Do you ever imagine humanity ever reaching this fully robots-based future?

Me doing ops analysis...

Day1: No way! How the fu
Day2: Nah, someone else will do this...
Day3: Fuck! Why dont we have a Legal Dept
Day4: Okay Im just gonna run an ml to find irregularities
Day5: These scans cannot be ocr-ed...
Day6: br-brute force
2 months later: so there's a problem regarding the Express Contractual Remedies of Contract A and Amendment C...

!dev

Personal rant, but as one shouldn't bottle up emotions, probably not so bad idea....

Started with diet and exercise in the vacation, as finally a certain thing starting with C calmed down...

Its maddening how fucked up the world is. Now as a lil private info (that might not be so unknown, shared multiple times here) - my body is a train wreck.

Lungs are fucked, muscle distrophy, some other things are fucked.

I'm the kind of thing every gym trainer dreads - the client that needs not only a lot of ass whooping, but also has a lot of problems that need to be taken care of.

Which is why I rather do exercise at home, cause... My experiences with humans in gyms are bad. Most trainers behave like fucking chimpanzees screaming commands while not listening what one tells them...

First challenge: Find a low impact cardio training.

What one mostly finds is a female chick (which is sad cause I like men more for obvious reasons), that should gain some weight, screaming at ya how great sport is while jumping around like a bunny on ecstasy.
Low impact isn't really low impact when you jump around, lil bunny... And it isn't low impact when you just let yourself fall to the floor and start doing push ups.

If an obese person like me did that, it would end in pain, frustration and an empty fridge TM.

So one has to painfully look and skip through 20 min vids of "Non low impact low impact YouTube / ... vids" to find one that is doable without wrecking the body even further... Yaaaay. That makes one totally not feel depressed :-)

The other thing that I always hate is dieting. Note that I don't have to change much - I'm basically on a diet since years, holding weight the whole time.

The jolly fun is that I can't take off with just an diet. If you never heard that such thing is possible, a lil advice: It is possible. Nothing hurts more than being told that eating less solves all problems magically - cause it doesn't.

What I usually need is added protein, as I suffer from muscle dystrophy in my left side. (hence the low impact vids).

If you go to a grocery store, you most likely find *tons* of protein stuff.

The fun thing is that roughly 80 % of that are - like all things in a supermarket - completely bullshit.

I know one could avoid using protein powder / ... - but that makes dieting a very very very hard task, as one has to not only do a lot of planning, but cooking and eating becomes a depression palooza... It just doesn't make fun when you have to scale components for every meal or force yourself to eat e.g. 250 g of low fat curd cheese to gain the necessary proteins.

Why is supermarket stuff so shitty....

Added sugar / saccharides . When one has been dieting for long for health reasons, one finds out pretty quick that most products (especially those labeled as healthy / fat reduced / "weight loss") are perfectly made to lead to a sugar crisis and binge eating.

I've found protein drinks containing up to 25 g of sugar per drink (330 ml).

A coke has 27 g of sugar per 250 ml...

:) Now isn't that jolly...

I've found my stuff of joy not so long ago (not advertising here, but depending on flavor it has only up to 3 g (!)) of sugar per drink)...

It just annoys me and pisses me off how much money is made - in my opinion deliberately - on the suffering of other people...

Most laws by the way end up being blocked by lobbyists - most nutrient scores etc are just "wrong" or better to unspecific... Making exploitation pretty easy.

It's funny how everyone has an opinion on obese people, everybody is pointing fingers and explaining how stupidly easy it is to take off... And at the same time no one gives a damn about shit like that.

That's all folks. Feeling better now.

By the way, I'm doing fine. I lost 7 kg already, though the train wreck of body was pretty pissed the last two weeks as everything hurts.

Another reason why motivational speeches are dumb in videos: Pain isn't fun. :)

Okay so there are a lot of things that are left by us students as "this would be taught to us on job, why bother now?" So i have many questions regarding this:

- is it a safe mentality? I mean University is teaching me, say a,b,c and the job is supposed to be like writing full letters, than am i stupid to stick to just a,b,c and not learning how to write letters beforehand?

- what is even "taught" on job? This is especially directed towards people in Big firms. I mean i can always blame that small ugly startup who treated me badly and not gave me any resources, but why do i feel its going to be same at every other company?

I guess no one is gonna teach me for 6 months on how to write classes with java, or make a ml engineer out of me when i don't know jack shit about ml.... That's the task for college, right?

I feel that when these companies say they "teach", you they mean how to follow instructions regarding agile meetings, how to survive office politics and how to learn quickly and produce an output quickly. I don't think that if i don't know how MVI works, then they are gonna teach me that, would they?i guess not unless they already have someone knowledgeable in that topic

- what about the things that are not taught in our colleges and we wanna make a career in it? Like say Android. From what i have experienced , choosing a career in a subject that's not taught you in grad school immediately takes away some kind of shield from you, as you are expected to know everything beforehand. So again, the same questions bfrom above

i did learned something from job life tho, and that too twice. Once it was when i first encountered an app sample for mvvm and once when i found out a very specific case of how video player is being used in a manner that handled a lot of bugs.

Why i didn't knew those approaches when i was not in job? Well, the first was a theoretical model whose practical implementation was difficult to find online that time and the second was a thing that i myself gave a lot of hours, yet failed to understand. However when i was in the company , i was partnered with a senior dev who himself had once spent 30 days with the source code to find a similar solution.

So again , both of above things could have been done by me had i spent more time trying to learn those "professional tools" and/or dwelve deeper into the tech. And i did felt pretty guilty not knowing about those...

Have you ever considered switching to IT support/help desk?
I mean, sometimes I try to analyze my own situation from a 3rd person perspective and I realize I could have a pretty much stressless job with still enough money to live a normal life.
I have a BSc and MSc(soon to have) in CS, with focus on AI/ML. I've always been a geek with a problem solving attitude, that's why I got into computers in the first place. And now I'm pondering if I should just try an IT Support position, it's the kind of things I used to do as a teenager when a classmate had a network/computer problem, it doesn't even feel like a job to me. I could call it a day, get home at 5/6pm, and spend time on my personal projects (software, infosec) with a fresh mind, going to bed (and sleep) knowing that the next day would be a nice one. No clients wanting a new feature that you gotta implement and push on a production server friday afternoon because your ceo(who is also a pseudo proj manager) just said:"Yes, we can", while you watch the technical debt rising like amazon's stocks.
Maybe this is just the burnout talking, I don't know. Maybe I should just try being a software engineer outside of Uni in the first place, and only then start pondering.
Maybe a sysadmin position...
Have a nice day

I wanted to get started with ML. So what are the basics that I need to cover? (I have no idea where to get started.)

Ahhhhh.... Now i want to really know how developers make softwares, ROMs, chatbots using ML and all these type of stuff.
- When i go through the guide for making ROM for a smartphone or a chatbot the writer asks the reader to take the code from github, everybody just give github link and move on. None tells how the developer wrote that bunch of code. I really want to learn core concepts behind all this. I know how to code but i can't apply it in real life applications. For me there is no bridge which connects coding to end products. I don't know what to do next?

I let my ML friend (great bloke, all the following shit giving is with love) use my chatgpt plus account so he could try gpt4, bc he thought “chatgpt” is “overhyped”. meanwhile I'm getting it to pump out 50 line pSQL trigger functions like it's a Tuesday. no flex its literally like ordering pancakes.

ana he logs in proceeds to get frustrated with it and says it's shit. somehow he managed to select gpt 3.5 instead of 4.

it took me showing him THIS USELESS example that basically has almost nothing to do with gpt 3.5->4 jump (plus get access to a sandbox, cool) for him to realize that wow maybe just maybe this ain't a major version bump

Give me a job pls im starving. Im a ML Engineer, no ones want to hire me. I will be eternally grateful :/