Google assistant.

Ahh, tensorflow.. Why so hard :'(

> Open private browsing on Firefox on my Debian laptop
> Find ML Google course and decided to start learning in advance (AI and ML are topics for next semester)
**Phone notifications: YouTube suggests Machine Learning recipes #1 from Google**
> Not even logged in on laptop
> Not even chrome
> Not even history enabled
> Not fucking even windows
😒😒😒
The lack of privacy is fucking infuriating!
....
> Added video to watched latter
I now hate myself for bitting

Helping a random junior out with an ML project on an online tutor site.

Her: So what is the syntax for implementing xyz function

Me: *opens Google* *opens pandas docs* *searches the function* *tell her the syntax*

She: Woah thanks a lot!

I collected my tutor fees feeling good about myself.

I am sick and tired of big companies trying to shove their technologies down developer's throat in the name of developer advocacy. Last week I attended one of the IBM workshops which was supposed to be about ML and AI techniques but ended being solely about IBM Cloud (Bluemix), click here, click there, purchase it. I am not against developer advocacy and them trying to advertise their product but they should always keep in mind that developers won't get interested if they aren't learning any transferable core skills.

I was checking a course on Udacity about building scalable java apps. It turned out to be about Google Cloud Platform, auto scaling and nothing much. How deceiving is that?

"What's your degree in?"

Electrical Engineering.

"So, you do coal stations and stuff?"

Nope. I look for powergrids to optimise with the help of Neural Networks.

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

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.

Google announced a little piece of wizardry called MusicML, which seems to be a pretty decent music generator based on text prompts or sample imputs

I can only think how much would this thing help indie game developers (if available), but then there are a lot more industry (beside music itself) that could save lots of money with this kind of stuff

I mean, yeah, the results are not so great or ground breaking, but so would be most of the human generated compositions as well; if the music is not the main focus, most of the results are just enough. Just think about an elevator with a custom generated track for day, or so many other places where sound it's just a side stimulus

What a time to be alive c:

I told interns in my startup to code a GAN only using Numpy. I received 4 resignation letters the next day

Tensorflow in the browser... I'm not sure how I feel about this

It's an irony in my case. Python is so simple and fast to implement that I end up doing all my projects ( web dev, ML, crawlers, etc.) But still I can't use Python for solving competitive programming. Python seems unknown if I don't have access to google. Way to go to learn Python. Though able to think Pythonic nowadays.. ;p

I forgot to re-enable ABP...
Good job google....
you know everything about me (us)
and you cannot even detect the correct language for ads?

Received a different error...made some progress 😁

Mind blown.
If google improves their tech at this rate, what's gonna happen? Is it for the good or bad? They are getting access to the world data. Random thoughts.

I saw this headline today: "Trending Technology - Google's new AI tool could help decode the mysterious algorithms that decide everything"

Basically, an AI tool to decode how other AI algorithms work...

Congratulations humanity... you done well.

"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.
:(

How do you know ML and AI has gone too far? You rely on the algorithm instead of the obvious.

Google will translate comments, etc. At times when you click on an English video to language around your location. This is so obvious, if I didn't understand English if would not have clicked on the video!!
#BringBackThePreMLdevs

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?

A friend who just got into ML recently.

"Dude, did you know how amazing ML is??"
"I'm training a computer to give out outputs, basic AI dude"
"Dude logistic regression is the shizz"
"You heard about backprop mate?"
"ANN is the next big thing. I'm currently working on one of the biggest AI project now"

So I casually ask him whether he completely his project or not. He proudly showed me a 9 lined code he copy pasted from Google (search for neural network in 9 lines) and said, "Dude I trained my laptop with some advanced AI techniques to give out the perfect XOR outputs"

He rounded off values like 0.99 to 1 and 0.02 to 0 to make it look perfect.

#facepalm

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 ;)

Hey Guys,
I want to build a voice assistance like Ok Google from scratch using ML.
Actually, I'm unable to figure out How can I achieve this 😅.
I want App like When I give command like Open DevRant then the App should work like Google App.
Ok all Good.
But I want to know If I write a code to open any App like Open APP_NAME
then It is coded by me not my app is learning this.
Sorry If I'm unable to Explain this to you.
I want to know Should I have to code all procedures for doing task like open any app, calling any number, etc myself or is there any way that my App can learn on its on 😔.
If somebody understand this please suggest me what is best for this.

I feel google's move to cater ML and AI resource to everyone for free is a complete sham. I believe it's a very shrewd move to promote TensorFlow and google cloud. What do you think !??

if google were human 🙌🤖