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?

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

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

There are a couple of them to list! But to sum my main ones(biggest personal heroes):

John McCarthy, one of the founding fathers of Artificial Intelligence and accredited with coining such term(sometimes before 1960 if memory serves right), a mathematical prodigy, the man based the original model of the Lisp programming language in lambda calculus. Many modern concepts that we have in programming where implemented in one way or another from his systems back in the day, and as a data analyst and ML nut.....well I am a big fan.

Herb Sutter: C++ programmer extraordinaire. I appreciate him more for his lectures and published articles than anything else. Incredibly smart and down to earth and manages to make C++ less intimidating while still approaching it with respect.

Rich Hickey: The mastermind behind Clojure, the Lisp dialect for the JVM. Rich is really talented and his lectures behind his motivations and reasons behind everything he does with Clojure are fascinating to see.

Ryan Dahl: Awww shit y'all know how it is. The man changed web development both in the backend and the frontend for good. The concept of people writing their own servers to run their pages was not new, but the Node JS runtime environment made it more widely available to people by means of a simple to use language that was already popular with web developers. I would venture to say that Ryan's amazing contributions to JS made the language better, as it stands, the language continues to evolve and new features that make it overall better keep being added. He is currently building Deno, which would be a runtime environment for TypeScript, in Rust.

Anders Hejlsberg: This dude was everywhere man....the original author of Turbo Pascal and the lead of Delphi back in the day. These RAD tools paved the way for what would be a revolution in the computing world. The dude is also the lead architect and designer of the C# programming language as well as TypeScript.
This fucker is everywhere and I love it.

Yukihiro "Matz" Matsumoto: Matsumoto san is the creator of the Ruby programming language. Not only am I a die hard fan of Ruby, but of the core philosophies that the man keeps as the core of his language design: Make the developer happy, principle of least surprise. Also I follow: minswan which is a term made by the Ruby community that states Mats is nice so we are nice. <---- because being cool to others is better than being a passive aggressive cunt.

Steve Wozniak: I feel as if the man does not get enough recognition...the man designed the Apple || computer which (regardless of how much most of y'all bitch and whine) paved the way for modern micro computers. Dude is also accredited with designing one of the first programmable universal remotes(which momma said was shitty) but he did none the less.

Alan Kay: Developed Smalltalk and the original OOP way of doing things. Smalltalk as a concept is really fucking interesting. If you guys ever get the chance, play with Pharo, which is a modern Smalltalk. The thing is really interesting and the overall idea of Smalltalk can be grasped in very little time. It sucks because the software scales beautifully in terms of project building, the idea of hoisting a program as its own runtime environment and ide by preserving state through images is just mind blowing to me. Makes file based programs feel....well....quaint.

Those are some of the biggest dudes for me. I know that the list is large, but I wanted to give credit to the people that inspired me the most. Honorary mention goes to other language creators and engineers of course, but it would be way too large to list!

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.

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

!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.

Can anyway recommend a book (or other quality resource) on tensor programming that isn’t focused on all this ML crap?

I’d like to use GPUs for some simulation modelling, so interested in vector and matrix manipulation.

"Dear TitanLannister : You are in the final year. A lot of shit is happening around u. its now time to make a career and take tough decisions. What would you do?"

CHOICE 1: COMPETITIVE
>>>>background : "a lot of super companies like wallmart, fb, amazon, ms, google,.. etc simply takes a straight coding test for fresher placement. They ask tough bad ass level questions, but with right guidance, a hell ton of dedicated hours of coding, and making it to the top of various coding tests could make you a potential candidate"
>>>>+ve points :
- "You got the teachers and professionals with great experience to guide you"
- "a dream job come true.you can go there and join teams that interests you"
- "it was your first exposure to computer world. maybe you would like doing it again, after 4 years"
>>>> -ve points:
- "You have always been an average 70 percentile guy. The task requires 2000-3000 hours of coding an year. it will be hard and you always grow bored out of this pretty quickly"
- "Even If you did that , you stand a lesser chance because your maths is shitty.There are millions running in this race with brains faster than your IDE"
- "your college will riot with you because they expect 75% attendance"
- "You are virtually out of college placements, in which , even though shitty companies come and offer even shittier 4LPA packages($6000 per annum), would take a tough logical/aptitude based test for which you won't be able to prepare"

CHOICE 2: PROFESSIONAL WORK
>>>>background: "you always wanted to create something , and therefore you started taking android based courses. you have been doing android for over 2 years and today you know a lot of things in android. you might be good in other professional lines like web dev, data analytics, ml,ai, etc too if you give time to that"
>>>>+ve points :
- "you will love doing this, you always did"
- "With the support of a good team, you will always be able to complete tasks and build new things quickly"
- "Start ups might offer you the placement, they always need students with some good exposure"
>>>>-ve points :
- "Every established company which provides interesting dev work takes their first round as coding, and do not considers your extra curricular dev work. So you are placing your all hopes in 1 good start up with super offerings that would somehow be amazed by your average profile and offer you a position"
- "start ups are well, startups and may not offer a job security as strong as est. companies"
- "You are probably not as awesome dev as you think you are. for 2 years, you have only learned the concepts , and not launched more than 1 shitty app and a few open source work"

CHOICE 3: NON CODING
>>>>background: "companies coming in college placements have 1-2 rounds of aptitude,logical reasoning , analysis based questions and other non tech tests. There are also online tests available like elitmus,AMCAT, etc which, when cleared with good marks help receive placements from decent established companies like TCS, infosys, accenture,etc"
>>>>+ve points :
- "you will eventually get placed from college, or online tests"
- "there will be a job security, as most of these companies bonds the person for 2-3 years"
>>>> -ve points:
- "You really don't like this. These companies are low profile consultant/services based companies which would put you in any area: from testing to sales, and job offers are again $5000-6000 per annum at max"
- "Since it includes college, the other factors like your average cgpa and 1 backlog will play an opposing role"
- "Again, you are a 70 percentile avg guy. who knows you might not able to crack even these simple tests"

Ugh... I am fucking confused. Please be me, and help.The things that i wrote about myself are true, but the things that i assumed about super companies, start ups or low profile companies might not be correct, these points comes from my limited knowledge ,terrified and confused brain, after all.
:(

!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. :)