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Search - "just ml things"
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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.
/rant16 -
You know what really pisses me off about the dev community is the circle jerk that ensues when someone bashes something they have no experience in. Take yesterday's React bash on Reddit and DevRant. Thomas Fuchs compared React and JSX to the intermingling of HTML CSS and JS of 15 years ago. If you knew anything about React or spent 1 hour learning what it's about you would immediately know why that isn't true but no, a giant circle jerk ensued comparing it to PHP! I'm sorry but HOW can you compare a pure JS view library that is renderable by the browser, to a full fledged server side language?? Not to mention the React approach uses a completely different programming paradigm of functional programming.
When I first saw React and Redux I realized what this is all really about, a shift in the paradigms of programming. React + Redux is the first time that functional programming has entered mainstream. We've had functional programming available to us via Haskell and more recently Clojure for a while now but it was never very obvious how powerful functional programming could be outside of the niche that used it for more analytical type tools. Now we have things like hot reloading (https://youtube.com/watch/...) and state playback (https://youtube.com/watch/... skip to ~3min to watch the magic) thanks to immutable state.
Before you decide that React is just another flavor of the month library I encourage you to learn about the advantages that functional programming provides (https://medium.com/@cscalfani/...) and checkout Elm (http://elm-lang.org/) as well. The nice thing about React + Redux is that it gives us a way to start programming functionally, without having to learn ML style syntax like Elm and ClojureScript. Keep in mind, when Object Oriented Programming was becoming popular it was widely controversial as well and look at all it has done for us.4 -
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.5 -
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 it5 -
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.8 -
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!9 -
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.4 -
To date this is the most useful thing I’ve seen that appears to work whether it does or not I may never know
https://tinyurl.com/6zwn7hb3
What projects has everyone here seen that could be anything from proof of concepts or working applications and libraries that are actually USEFUL/FUNCTIONING not just CONCEPTUALLY useful in ML
Because none of the object classifiers I have seen look useful Half the time they miss things or get things wrong
However this project snakeAi I saw is a self training ml that plays snake until it can’t possibly do better and it works
The link above appears to work and be useful but I betcha it fails on backgrounds that aren’t so solid !
What else have you peoples seen ?
Again -
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.5 -
!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.1 -
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 average3 -
I had the idea that part of the problem of NN and ML research is we all use the same standard loss and nonlinear functions. In theory most NN architectures are universal aproximators. But theres a big gap between symbolic and numeric computation.
But some of our bigger leaps in improvement weren't just from new architectures, but entire new approaches to how data is transformed, and how we calculate loss, for example KL divergence.
And it occured to me all we really need is training/test/validation data and with the right approach we can let the system discover the architecture (been done before), but also the nonlinear and loss functions itself, and see what pops out the other side as a result.
If a network can instrument its own code as it were, maybe it'd find new and useful nonlinear functions and losses. Networks wouldn't just specificy a conv layer here, or a maxpool there, but derive implementations of these all on their own.
More importantly with a little pruning, we could even use successful examples for bootstrapping smaller more efficient algorithms, all within the graph itself, and use genetic algorithms to mix and match nodes at training time to discover what works or doesn't, or do training, testing, and validation in batches, to anneal a network in the correct direction.
By generating variations of successful nodes and graphs, and using substitution, we can use comparison to minimize error (for some measure of error over accuracy and precision), and select the best graph variations, without strictly having to do much point mutation within any given node, minimizing deleterious effects, sort of like how gene expression leads to unexpected but fitness-improving results for an entire organism, while point-mutations typically cause disease.
It might seem like this wouldn't work out the gate, just on the basis of intuition, but I think the benefit of working through node substitutions or entire subgraph substitution, is that we can check test/validation loss before training is even complete.
If we train a network to specify a known loss, we can even have that evaluate the networks themselves, and run variations on our network loss node to find better losses during training time, and at some point let nodes refer to these same loss calculation graphs, within themselves, switching between them dynamically..via variation and substitution.
I could even invision probabilistic lists of jump addresses, or mappings of value ranges to jump addresses, or having await() style opcodes on some nodes that upon being encountered, queue-up ticks from upstream nodes whose calculations the await()ed node relies on, to do things like emergent convolution.
I've written all the classes and started on the interpreter itself, just a few things that need fleshed out now.
Heres my shitty little partial sketch of the opcodes and ideas.
https://pastebin.com/5yDTaApS
I think I'll teach it to do convolution, color recognition, maybe try mnist, or teach it step by step how to do sequence masking and prediction, dunno yet.6 -
I have last few months left out of graduation and i don't know what should i learn. There's so much things (web dev , ai/ml, blockchain, android , cloud, ,hybrid apps, gaming, ar/vr, data analysis, security,etc) and as a cs student, i feel i should be knowing them all.
In last 6 years ,
Techs that i liked or got success in :
java, Android,python, data analysis, hybrid apps(flutter)
Techs that i didn't liked or failed in : ai/ml, cloud computing , webdev(css/js) ,hybrid apps(react/angular/ionic/...)
Techs that i didn't tried : security, cryptography, blockchain, open cv , ar/vr, gaming
I am not bound by my likeness or success.
My failures was mainly because i didn't liked those techs and continued further in them. And my success comprises of just launching a few apps, passing in some certification or grabbing an internship opp because of those skills.
But if you think a particular skill is necessary to have as a cs professional then let me know. I just want to earn a lot of money and get out of this mess asap1 -
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...5 -
!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. :)1 -
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 day12 -
see now this is the f-ing shit that pisses me off.
There is this project named dain.
One time I made a project that dropped frames using opencv or ffmpeg i can't remember, creating a test output file and ran them through dain to benchmark it for myself.
alot of things just like this actually I tended to do to get a better sense. Its the reason I abandoned the NN since I think I have a feel for how to design them for certain tasks and remember that with my 'successes' i was still really far off from where i'd like to be.
additionally there are other kinds of ml that interest me more that I am not seeing too much on... point is
I worked all this crap out
got wavenet working to check on it YEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARS ago and because the dirty fucks out west kept stealing my stuff, i end up back at square one waiting for some douchebag to steal my stuff again who isn't even going to do anything but pretend he's straight or pretend everything has some faggot meaning. its very annoying. why do these people live this way again ?3 -
You know how the machine learning systems are in the news (and Ted talks, tech blogs, etc.) lately over how they're becoming blackbox logic machines, creating feedback loops that amply things like racism on YouTube, for example. Well, what might the ML/AI systems be doing with our code repositories? Maybe not so much yet, I don't know. But let's imagine. Do you think it's probably less worrisome? At first I didn't see as much harm potential, there's not really racist code, terrorist code, or code that makes people violence prone (okay, not entirely true...), but if you imagine the possibility that someone might use code repositories to create applications that modify code, or is capable of making new programs, or just finding and squishing bugs in code algorithmically, well then you have a system that could arguably start to get a little out of control! What if in squashing code bugs it decides the most prevalent bugs are from code that takes user input (just one of potentially infinite examples). Remember though, it's a blackbox of sorts and this is just one of possibly millions of code patterns it's finding troublesome, and most importantly it's happening slowly (at first). Just like how these ML forces are changing Google and YouTube algorithms so slowly that many don't notice the changes; this would presumably be similar and so it may not be as obvious as one would think. So anyways, 'it' starts refactoring code that takes user input into something 'safer'. Great! But what does this mean? Not for this specific example really, but this concept of blackbox ML/AI solutions to problems we didn't realize we had, what does a future with this stuff look like (Matrix jokes aside)? Well, I could go on all day with imaginative ideas... But talking to myself isn't so productive, let's start a fun community discussion here! Join in if you find this topic as interesting as I do! :)
Note: if you decide to post something like "SNN have made this problem...", or other technical jargan please explain it as clearly as possible. As the great Richard Feynman once said, the best way to show you understand a thing is to be able to explain it clearly to others who don't understand it... Or something like that ;)3