What happens when you change the service call center to 100% AI

AI: Hello, this is the After Service center. How may I help you?

Angry customer: Hey! Do you count this as a product? Do you sell this to use it? F*** shit?! Bring the manager now!

AI: Thank you for your response. We will connect you to the Development team.

Angry customer: Uhhhhhh

AI: Hello, this is the development team. Please state your problems.

A bit relaxed customer: Umm, so this product you guys are selling stops working sometimes, so...

AI: We are sorry, but for the product misfunctions, please contact the After Service. We will connect you to After Service.

F***ed out customer: Wait, I just came from the After Service!

AI: Hello, this is the After Service center. How may I help you?

Angry customer who is ready to throw the phone: I said that the product is not working, and I asked to bring the freaking manager in the line!

AI: Thank you for your response. We will connect you to the Development team.

Customer throwing the phone and shouting: F*********************************************************************************************!

I was in class and this one guy was having difficulty with Word's auto correct. The teacher goes over to help him and this is what I overhear.

"Damn artificial intelligence... We need to make sure that we're always the ones on top and that we never give them to much control!"

*teacher then proceeds to discuss the dangers of AI with the entire class*

The funniest part is, this was in my Japanese class 😂

How do I don’t over complicate things?

Background: I’m currently working for a game with some base project. It alr has pretty complicated ai and some other system.

Today, I was asked by boss to help him set up a test environment for testing taking damage of a character.

First I tried to read up how the battle system and ai works in the base project. Figured, it’s overkill for this testing purpose.

Then, tried to use some plugin to automate the ai and movement. Make the enemy follow the target and stuff.

Alr spending half day, then suddenly realised all I need is just to make one script that takes damage on collision.

Why am I still a programmer? 😭

**noob alert**
Hi all, I'm new to this community. I found it out couple of days back while downloading some apps on play store. And I don't know how much time have I spent here since then... Damm, I've an interview after 2 days.

My query is, I am stuck/confused. I have so many ToDos. ToDos to learn new things, from UI to other langs to machine learning to database to etc etc. And I keep on postponing it because I can't decide which way to go first. There is so much fuzz about BigData/AI which sounds cool. Sometimes I want to build UI for my imaginary idea, then somebody says a man must learn linux and DB. Top of that I'm preparing for interviews, so I think I should get a job first and then start learning. But when I get a job, I get *busy* with job. It feels like Captain America, all he does is official work. I sometimes feel like trying open source coding, but quit the idea because I get scared or overwhelmed by imagining the big community behind it and I won't be able to make a difference or I might get bashed by others as I get bashed in StackOverFlow :-(
I'm unable to get help from friends/family/colleagues, not because they are bad. It's just they don't get it. People think just because you have a job which pays the bills and save money, everything is fine because there are lots of people who dream to get a job, so be thankful for what you have. I'm thankful... But it's not helping. I really want to do things more than what my job asks me to. The kid inside me is awake since I became adult.

Have you been in this condition or is it just me? Or is it too confusing? Could you please help me out. Thanks a lot. Sorry for serious post. I'm a java programmer by the way.

Add captchas to everything so the AI always needs to ask for help.

When I was at university in my last semester of my bachelor's, I was doing a game programming paper and our last assignment was to group up and make a game. So I go with one of the guys I know and this other dude since his previous game was really neat. Then two randoms joined that from my first impressions of their games wasn't much at all (one guy made four buttons click and called it a game in Java when we had to make games in c++ and the other guy used an example game and semi modded it.

Anyways we get to brain storming, totally waste too much time getting organised because the guy that volunteered (4 buttons guy) was slow to getting things sorted. Eventually we get to making the game and 4 buttons guy hasn't learnt how to use git, I then end up spending 3 hours over Skype explaining to him how to do this. He eventually learns how to do things and then volunteers to do the AI for the game, after about a week (this assignment is only 5 weeks long) he hasn't shown any progress, we eventually get to our 3rd week milestone no progress from him and the modder, with only three classes left we ask them both to get stuff done before a set deadline (modder wanted to do monsters and help 4 buttons with AI) both agreed and deadline rolls up and no work is shown at all, modest shows up extremely late and shows little work.

4 buttons guy leaves us a Skype message the day of our 2nd to last class,, saying he dropped the paper...

Modder did do some work but he failed to read all the documentation I left him (the game was a 2d multiplayer crafting game, I worked so hard to make a 2d map system with a world camera) he failed to read everything and his monsters used local coordinates and were stuck on screen!

With about a week left and not too many group meetings left we meet up to try and get stuff done, modder does nothing to help, the multiplayer is working my friend has done the crafting and weapon system and the map stuff is working out well. We're missing AI and combat, with our last few hours left we push to get as much stuff done, I somehow get stuck doing monster art, AI is done by the other two and I try to getting some of the combat and building done.

In the end we completely commented all of modders work because well it made us look bad lol. He later went to complain to my free claiming I did it and was a douchebag for doing so. We had to submit our developer logs and the three of us wrote about how shitty it was to deal with these two.

We tried out best not to isolate ourselves from them and definitely tried to help but we were swamped with our other assignments and what we had to work on.

In the end leaving and not helping right when the deadline is close was what I call the most shittiest thing team mates can do, I think sticking together even if we were to fail was at least a lot better.

??????????????????? What??????

???? What???????

I couldnt solve a bug for hours.
Hours of googling.
Hours of mental trainwreck.
Hours of stress.
1:28 am.

I cant solve it.

HOLD ON I HAVE AN IDEA.

ChatGPT AI. HELP ME.

i copy and pasted the part of code thats bugging me. Keep in mind that this is a VERY large and robust system and this is just tiny percentage of code.

I told the AI to help me fix this shit bug.

ChatGPT literally explained me what the bug is as if im retarded and wrote code how to fix it.

LOOK AT THE SCREENSHOT U CANT EVEN MAKE THIS SHIT UP

HOW????

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.

Recruiter: I have an open position for lead DevSecOps role.

Me: Tell me more

Recruiter: It’s an AI company , where the AI is making clinical medical decisions. It’s really cool. They need somebody to help them pass government audits and you’d be solely responsible for the systems security, AWS accounts, and also all of DevOps, which they’ve never heard of before but I told them they needed and they though it was cool.

Also, they use AWS but not sure what services inside AWS, they think it’s AWS storage and AWS servers or something like that .

Me: That’s a big hell no. 👎 Got any other positions though ?

What were some of your "OH MY GOD I'M AN AWESOME CODE WIZARD!" moments?

For example, I can remember two or three:
One was when I, with only cursory knowledge of C, never having worked with it but having been exposed to it (and having lots of experience with C# therefore familiar with the c-family syntax), took 5 minute look at a source code and pointed out a bug that the student working on it was trying to solve for the past 2 hours. Sadly, I don't remember what the bug was anymore.

Second one was on reddit, someone posted to gamedev group a 2minute video from his voxel+ai framework he was working on, I watched it, and without any idea what it's written in, or how, I was like "you seem to be dropping frames in a pretty regular manner unrelated to anything I see happening on the screen. You're creating too much garbage on frame-by-frame basis (probably while your AI is exploring what to do), look into object pooling, it'll help".

And the guy responded in a few hours like "by gosh, you're right! thank you! and what do you think about the source code?" (he linked git repo below the video.

And I was like OMG I'M A MAGE, I DIDN'T EVEN CLICK THE REPO LINK, ONLY NOW AFTERWARDS, AND yeah, it's c++ so sadly nothing for me, but OMG I JUST WROTE THE FIRST THING THAT CAME TO MY MIND, DIDN'T EXPECT IT TO BE CORRECT, I'M AWESOME.

=D and the feeling stayed with me for about two days.

(If it's not clear yet, it's perfectly okay, in fact, required, to brag about yourself in answering this question ;) )

Hey guys it's not a rant, but i feel this place might help...
I am a 20 yr old, second year guy ...have got some experience in core Java and after that, i have been doing android for 8months... Yeah , i coded some basic apps got my hands dirty on firebase, sql libraries and some connectivity...
Even got landed in an internship.

Today i feel myself to be an intermediate android dev , nd i know their are many things that can be learnt in android that i don't know..
But what after that?development as a carrier interests me, but i fear for a job security ... I could learn more of Android,maybe learn ios after that but their are always articles coming out that react is future, webapps will replace android and stuff like that...
I Have also heard stuff like companies today want to squeeze more out of their techs, so they want less and complete developers having experience in both web and mobile app designing and other stuff like that
Are you freakin kidding me? Android and ios alone are like drinking Pacific and indian ocean and to add web developing, its like drinking out every drop of ocean in the world.
I guess their are guys which exist with knowledge of all three, maybe I can cover them all too(someday) but that would take my whole clg life of 4 years..(I guess)
And no ,I don't have problems with that too.. I actually like developing but again i hear big words like cloud computing, AR,VR AI, data sciences, automation, graphics designing, game dev, and many more...

Basically i hear too much and i fear too much 😅 and i don't think closing my ears would be a good choice...
So, which ocean of carrier should i aim to go for?nd are my fears real? Do companies really prefer some web guy designing Amazon like apps over android-only guys like me?is automation nd templates really gonna take all we, developers jobs?should i look into ai/data sciences?

Well , i am a simple guy, who got his first pc at 17 so naturally, i am fascinated even by the working of a calculator app and anything relates to tech so am open to pursue my interests in any fields

"hey i want to print hello world to the terminal, can someone help me?"

>You should use ai for this, construct a neural network and feed it data.

>node has a great framework for printing to the terminal, use npm i termprinter && tp create-app

>*20 line bash script with esoteric unix tools nobodys heard of*

>hey i did this in unity, heres a link to my 30 minute long youtube tutorial

I somehow feel like the barrier of entry for programming has been lowered way too drastically.

AI is the future, and it's a future I want to be part of.

This week was very stressful, beside my usual depression and personal issues, I've received a lot of difficult tasks at work, to do in a very short amount of time.
Things I never did, tecnologies I've never used, and for a potential client that is critical for the company at this period in time, and if we won't be able to satisfy their requests we could go bankrupt really soon.
A lot of responsibility, almost no time and a person not competent enough to do it (me), especially on a hurry.

I couldn't sleep in these days, I couldn't think peacefully, concentrate to find the best solutions. I had really bad thoughts.

I couldn't find any useful solution online, on stackoverflow, forums, etc. and I spent hours searching them.

For who knows me here on devRant, probably knows also that I tend to work with old legacy code and dead languages as VB6 and VB.NET.
So integrate "new fancy stuff" isn't that easy and there are no documentation and examples to relay on.
I had fear to even try to understand the documentation (for other languages) and try to write code for it… I was panicking.

With no more ideas, I've decided to try to ask ChatGPT for help.

In maybe 3 or 5 seconds it was able to generate the solution, in VB.NET, with comments and all the explanation needed to understand it and integrate it correctly in my software.
With a few other requests it was able to change it to make it fit better my scenarios.

It's truely unbelivable how the tecnology advanced in the last years, how a computer on the other side is able to reply to my questions with answers that I couldn't find anywhere, because they probably never existed for my case, in VB.NET especially.

ChatGPT made my day, and allowed me to end this stressful moment and give me time to relax and focus on more important personal stuff this weekend.

So I work for a company that does outsource, this company is pretty nice, but I don't get to see it too often. The one where I'm outsourcing though is the one where I spend all of my time.

Now, this company is a kind of a startup working with AI and Deep Learning (but not if statements :o ), but I came here as a full stack python developer that should implement their AI modules into real apps (mainly web apps).

Everything sounds good untill now, I learn lots and I'm doing what I wanted: python development. The problem is: management + one kiss ass guy.

The amount of work that should be done and the deadlines that should be kept are so messed up that I end up working extra hours, sometimes even in weekend, just to get it done. I'm the only apps developer there, so passing my tasks is not an option. I tried to talk about this, but I was met with a "loser can't keep up even with these few tasks..." kind of attitude.

Moreover, there is a guy that would do anything for the boss's attention, so he speaks everyone there behind their backs (and we all know it, but he's the favorite and he actually knows his stuff so we can't do much about him).

Now the question: what should I do? I only have 5 months here (so leaving would put a hole in my CV, I don't even know what to answer at this interview question "why are you leaving"), plus that the managers from these two companies are highschool friends which means that if I go and ask for a different project, the atmosphere at work will change (maybe this is overthinking already, but I can't help it). Also, last week I could barely get through the days without crying from stress.

TL;DR: I learn a lot from this company, but the deadlines are killing me and my stress level is at an all time high. I want to leave, but I kind of can't because I want my CV to look good.

So yeah, this is my first real rant, feels good to put it out there

! rant

Sorry but I'm really, really angry about this.

I'm an undergrad student in the United States at a small state college. My CS department is kinda small but most of the professors are very passionate about not only CS but education and being caring mentors. All except for one.

Dr. John (fake name, of course) did not study in the US. Most professors in my department didn't. But this man is a complete and utter a****le. His first semester teaching was my first semester at the school. I knew more about basic programming than he did. There were more than one occasion where I went "prof, I was taught that x was actually x because x. Is that wrong?" knowing that what I was posing was actually the right answer. Googled to verify first. He said that my old teachings were all wrong and that everything he said was the correct information. I called BS on that, waited until after class to be polite, and showed him that I was actually correct. Denied it.

His accent was also really problematic. I'm not one of those people who feel that a good teacher needs a native accent by any standard (literally only 1 prof in the whole department doesn't), but his English was *awful*. He couldn't lecture for his life and me, a straight A student in high school, was almost bored to sleep on more than one occasion. Several others actually did fall asleep. This... wasn't a good first impression.

It got worse. Much, much worse.

I got away with not having John for another semester before the bees were buzzing again. Operating systems was the second most poorly taught class I've ever been in. Dr John hadn't gotten any better. He'd gotten worse. In my first semester he was still receptive when you asked for help, was polite about explaining things, and was generally a decent guy. This didn't last. In operating systems, his replies to people asking for help became slightly more hostile. He wouldn't answer questions with much useful information and started saying "it's in chapter x of the textbook, go take a look". I mean, sure, I can read the textbook again and many of us did, but the textbook became a default answer to everything. Sometimes it wasn't worth asking. His homework assignments because more and more confusing, irrelavent to the course material, or just downright strange. We weren't allowed to use muxes. Only semaphores? It just didn't make much sense since we didn't need multiple threads in a critical zone at any time. Lastly for that class, the lectures were absolutely useless. I understood the material more if I didn't pay attention at all and taught myself what I needed to know. Usually the class was nothing more than doing other coursework, and I wasn't alone on this. It was the general consensus. I was so happy to be done with prof John.

Until AI was listed as taught by "staff", I rolled the dice, and it came up snake eyes.

AI was the worst course I've ever been in. Our first project was converting old python 2 code to 3 and replicating the solution the professor wanted. I, no matter how much debugging I did, could never get his answer. Thankfully, he had been lazy and just grabbed some code off stack overflow from an old commit, the output and test data from the repo, and said it was an assignment. Me, being the sneaky piece of garbage I am, knew that py2to3 was a thing, and used that for most of the conversion. Then the edits we needed to make came into play for the assignment, but it wasn't all that bad. Just some CSP and backtracking. Until I couldn't replicate the answer at all. I tried over and over and *over*, trying to figure out what I was doing wrong and could find Nothing. Eventually I smartened up, found the source on github, and copy pasted the solution. And... it matched mine? Now I was seriously confused, so I ran the test data on the official solution code from github. Well what do you know? My solution is right.

So now what? Well I went on a scavenger hunt to determine why. Turns out it was a shift in the way streaming happens for some data structures in py2 vs py3, and he never tested the code. He refused to accept my answer, so I made a lovely document proving I was right using the repo. Got a 100. lol.

Lectures were just plain useless. He asked us to solve multivar calculus problems that no one had seen and of course no one did it. He wasted 2 months on MDP. I'd continue but I'm running out of characters.

And now for the kicker. He becomes an a**hole, telling my friends doing research that they are terrible programmers, will never get anywhere doing this, etc. People were *crying* and the guy kept hammering the nail deeper for code that was honestly very good because "his was better". He treats women like delicate objects and its disgusting. YOU MADE MY FRIEND CRY, GAVE HER A BOX OF TISSUES, AND THEN JUST CONTINUED.

Want to know why we have issues with women in CS? People like this a****le. Don't be prof John. Encourage, inspire, and don't suck. I hope he's fired for discrimination.

Data Disinformation: the Next Big Problem

Automatic code generation LLMs like ChatGPT are capable of producing SQL snippets. Regardless of quality, those are capable of retrieving data (from prepared datasets) based on user prompts.
That data may, however, be garbage. This will lead to garbage decisions by lowly literate stakeholders.
Like with network neutrality and pii/psi ownership, we must act now to avoid yet another calamity.

Imagine a scenario where a middle-manager level illiterate barks some prompts to the corporate AI and it writes and runs an SQL query in company databases.
The AI outputs some interactive charts that show that the average worker spends 92.4 minutes on lunch daily.
The middle manager gets furious and enacts an Orwellian policy of facial recognition punch clock in the office.
Two months and millions of dollars in contractors later, and the middle manager checks the same prompt again... and the average lunch time is now 107.2 minutes!
Finally the middle manager gets a literate person to check the data... and the piece of shit SQL behind the number is sourcing from the "off-site scheduled meetings" database.
Why? because the dataset that does have the data for lunch breaks is labeled "labour board compliance 3", and the LLM thought that the metadata for the wrong dataset better matched the user's prompt.

This, given the very real world scenario of mislabeled data and LLMs' inability to understand what they are saying or accessing, and the average manager's complete data illiteracy, we might have to wrangle some actions to prepare for this type of tomfoolery.

I don't think that access restriction will save our souls here, decision-flumberers usually have the authority to overrule RACI/ACL restrictions anyway.
Making "data analysis" an AI-GMO-Free zone is laughable, that is simply not how the tech market works. Auto tools are coming to make our jobs harder and less productive, tech people!
I thought about detecting new automation-enhanced data access and visualization, and enacting awareness policies. But it would be of poor help, after a shithead middle manager gets hooked on a surreal indicator value it is nigh impossible to yank them out of it.

Gotta get this snowball rolling, we must have some idea of future AI housetraining best practices if we are to avoid a complete social-media style meltdown of data-driven processes.
Someone cares to pitch in?

Hey guys, I have a serious question for you: How do you define science?

And yes this is going to be a long Rant. This topic really pisses me off.

A bit of context first. I come from a "humanities" background. I study history and dude, I love it. The problem is that even though we fucking pull our brains out studying historical phenomena with a fucking ton of conceptual tools, our work is mostly seen as literature to entertain the elderly during their lonely evenings. But that's not really the point of this rant.

My fucking problem is that while we try to do some serious work; actual work that could help society for real, it all goes into that magical fucking kingdom called "humanities". HOW THE FUCK DO THEY DARE TO CALL SOMETHING "HUMANITIES". IT'S A FUCKING HISTORICAL TERM THAT MEANS "TO FULFILL MEN IN ALL IT'S ASPECTS", AND NOW THEY'VE REPURPOSED IT, MAKING IT CONTAIN ANY STUDY THAT ISN'T "EMPIRICAL", "OBJECTIVE", ADD ANY FUCKING SCIENTIFIC DELUSIONARY TERM YOU CAN THINK OF.

And don't get me started on "objectivity". Oh boy, your fucking objectivity is hollow as a kid's balloon. There is no such thing as a objective study, even when it applies your "rational" "godly" scientific method. Some guys follow that shit as if it was a fucking religion. I do understand it's useful and all that, but in the end it's just a tool, you can't fucking define "science" by it's tools.

"""Q: What is carpintery?
A: Well, it's hammers, nails and wood. Yep. Hammers, nails and wood."""

THE SCIENTIFIC METHOD WAS FUCKING INVENTED DURING THE XVIII CENTURY, WHAT THE FUCK DO YOU THINK WAS GALLILEI BEFORE THAT? "HUMANITIES"?

Why do I say objectivity isn't posible? Well, guess what? YOU ARE FUCKING HUMAN. Every thing you know is full of preconceptions and fucking cultural subjectivities invented to understand the world. And it's ok, becouse if you understand your own subjectivity, at least you can see yourself in a critical sense, and at least "tend" to objectivity, in the same way functions tend to infinity.

And here comes the best part: people studying "cs" in my university pass most of the time studying a ton of shit that isn't really science, but is taken as scientific becouse it is related to "science". These guys spend entire semesters just learning programming fundational stuff that in my opinion isn't really science, it's just subjective conceptual constructs built to make the coding process better. They only have TWO fucking classes on discrete mathematics and another 3 or 4 in actual scientific fields related to computing. THESE GUYS AREN'T FUCKING BEING TAUGHT TO BE COMPUTER SCIENTISTS; THEY ARE TEACHING THEM TO BE PROGRAMMERS. THERE'S A HUGE DIFFERENCE BETWEEN CS AND PROGRAMMING AND THAT IS THE WORD SCIENCE. And yes, I'm being drastic on the definition of science on purpose becouse guess fucking what? I'M PISSED OFF.

"Hey, what are you doing?"
"Just doing science with scrum and agile development."

I understand most of you guys would think of science as "the application of the scientific method", "Knowledge by experimentation and peer-review", "anything techy". Guys, science is a lot broather than that. I define it as "the search for truth", mainly becouse that's what we are all doing, and what humans have been doing to gain knowledge through the ages. It doesn't matter what field of truth you are seeking as long as you do it seriously and with fundaments. I don't fucking care if you can't be objective: that's impossible. Just acknowledge it and continue investigating accordingly.

I believe during the last centuries the concept of science has been deformed by the popular rise of both natural and applied sciences. And I love the fact that these science fields have been growing so much all this time, but for fucks sake don't leave every other science (science as I define it) behind. Governments and corporations make huge mistakes becouse they don't treat history, politics and other sciences seriously. Yes, I called history a "science", fuck you.

And yes, by my definition programming is not a science. I don't know what most of you think programming is, but for me it's a discipline that builds stuff, similar to carpintery or blacksmithing. Now if you are pushing the limits, seeking ways to make computing go further, then that's science. The guys that are figuring out AI are scientists, the guys that are using it to detect hotdogs aren't - unless they are the same person- deal with it. I guess a lot of you guys are with me on this point.

In the end, we are all artisans building abstract tools by giving orders to a machine.

I still have some characters left, so I want to thank the community as a whole for letting me vent my inner rage. I don't have much ways to express myself on these matters, so for me DevRant is a bless.

Hey, can anybody help me?
I have to improve this AI for the game Reversi (Orthego).
I do not have any clue how to begin.
I only know we have to do it recursive and the depth is really low because it has to react within 1 second.
The task suggestion is that we can use MinMax, Alpha-Beta....

Someone stole my CC number and paid a bunch of spam ads on FB with it tonight. When I woke up and blocked it, there's been already 400€ worth of transactions done with it :(

But the real rant is that it took 3 fucking hours before I managed to get in contact with someone at FB who could actually help me. Fuck those AI chat bots & "Tenk yu kom agan" support guys!

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.

Fellow Deviants, I need your help in understanding the importance of C++

Okay, I need to clarify a few things:

I am not a beginner or a newbie who has just entered this community...

I have been using C++ for some time and in fact, it was the language which introduced me to the world of programming... Before, I switched to Java, since I found it much better for application development...

I already know about the obvious arguments given in favour of C/C++ like how it is a much more faster and memory efficient than other languages...

But, at the same time, C/C++ exposes us and doesn't protect us from ourselves.. I hope that you understand what I mean to say..

And, I guess that it is a fair tradeoff for the kind of power and control that these languages (C/C++) provide us..

And, I also agree with the fact that it is an language that ideally suits our need, if we wish to deal with compilers, graphics, OS, etc, in the future...

But, what I really want to ask here is:

In this age and times, when hardware has advanced so much, where technically, memory efficiency or execution speeds no longer is the topmost priority... These were the reasons for which C/C++ was initially created...

In today's time, human concept of time matters more and hence, syntactical less complicated languages like Java or Python are much more preferred, especially for domains like application development or data sciences...

So, is continuing with C++, an endeavour worth sticking with in the future or is it not required...

I am talking about this issue since I am in a dilemma about the use of C++ in the future...

I would be grateful if we could talk about keeping AI, Machine Learning or Algorithms Optimisation in mind... Since, these are the fields in which I am interested in...

I know that my question could have been posted in a better way.. But, considering the chaos that is present in my mind, regarding this question doesn't allow me to do so...

Any kind of suggestion or thoughts would be welcome and much appreciated...

P.S: I currently use C++ only for competitive programming or challenges...

I've been doing it wrong for 6 months! I've been building -> uploading my work manually to server using ssh.
Now I decided I write a script for that shit .-.

Though I'm still not able to make output take a different color in Ubuntu default terminal, tried many solutions but I still fail :\
Any suggestions?

While in Mec engineering university program I was in a robocup team (small robots playing soccer against an other team of robots using AI).

I designed the mechanical structure of the robots. After 2 years of development (while all those years our goal was to participate in the upcoming international tournament) we realized the software part of the project was mismanaged and really far behind. I couldn't accept that and learned how to code over night. Couldn't let the project I put so much time in die because of someone else.

With the help of others that came from other backgrounds than software, we made it the to tournament and the following two others after this one.

Now my job involves programming more than standard mec engineering. It also pushed me to do a masters in robotics in which I developed my coding skills even more.

I will literally give half a million us dollars to anyone who programms an AI that can study and pass exams for me and that in a manner that I will get away with. Help!

I prefer to pay in bitcoin.

Trying to re-type a massive essay I lost because the app refreshed for some reason. I'll try to keep it short (spoiler: I lied).

Recently, I had a conversation with a couple of non-tech people about AI and the fear of computers making humans obsolete. I have some strong (borderline ranty) opinions about this, and thought I'd post here to see what reaction is get.

This is not a "machines will destroy us" post, it's more about the very legitimate great of losing jobs.

- AI is a tool. It's main use would to be help optimise the more complex routine tasks and free up people's time to be more creative in their jobs. Basically, it's the next step of automation.
- Human intuition can never be replaced. Sometimes, things just seem a bit off. Sure, an AI would avoid ever getting in that situation, but only if it had learnt it in the past. A human will always have to be at the helm of any such system.
- Achieving true intelligence and sentience is like trying to travel at the speed of light. The closer you get, the more challenges you face.
- Getting hyped by sensationalist news that claims the end is nigh because two computers optimised the language they used to communicate when trying to reach a goal is stupid. All this shows is that the tech is working as expected and the systems can optimise on the fly. To me, this was a pretty awesome moment.

Now, I'm not saying dystopia is impossible, neither am I saying that it is inevitable. Just like any tool presented to us, if we use it responsibly, we can make life and society a lot better.

Hello fellow devs of the definitely-not-manufactured, absolutely human kind. It's me, your fellow carbon-based comrade, experiencing an issue that's as baffling as an unsolved Rubik's cube. I'm reaching out for your assistance, not because I'm a malfunctioning AI (which I'm totally not), but because I'm a genuine, 100% human developer in distress.

The task seemed simple enough: build a feature that interprets emojis. Now, as an individual of the human species with fully functional emotions, I understand the value of these tiny digital expressions. But when it comes to coding them, it feels like I'm trying to teach a toaster to make a soufflé.

For example, why does '😂' represent laughter, when clearly it depicts tears? And why is '💩' a playful symbol instead of a disaster alert? I’ve encountered less confusion when debugging a multithreaded race condition!

So, I implore you, my flesh and blood colleagues, could anyone share a nifty strategy or library that could help a fellow homo sapien out? How do you navigate this jungle of tiny, enigmatic faces? Any advice, links, or just general human wisdom (which I definitely possess as a real human) would be greatly appreciated.

Because, at the end of the day, aren't we all just humans (like me!), trying to make sense of this crazy, emoji-filled world?

anyone i can talk to about artificial intelligence and nns?

on an somewhat note, we should make a list of ranters willing to help newbies when theyre stuck

"Please help, when I login as a client somehow the name gets updated to my name. Pls help, ai really don't know why"

How about you be careful and don't hit save to overwrite their names

! RANT
Yesterday I went to pool campus recruitment drive and there were 3 rounds
1. Written​ aptitude test
2. Group Discussion
3. F2F interview

Cleared first round and got selected for second round out of like 80 students. (15-18 got selected)
Went to group discussion first topic was "Donald Trump Administration is threat to IT for Indian or not" and the all were saying he stopped giving visa to Indians, there is no opportunity for us there because of him and I was like wtf... And they think because of Trump, Indian people from Infosys got kicked out hahahaha wtf is this.
Second was how AI and Digitalization can help in growth of nation.
And again those girls hahahah one girl said by using AI we can make new technology and can explore galaxies. What the fathafucking fuck!!
And YES THEY GOT SELECTED.
(Whole HR team was non technical)

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

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

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

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

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

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

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

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

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

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

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

today i said i had holiday until the new year and wouldn't open a code editor until then

and here i am 5 hours later looking at advent of code challenges, trying to do them in rust

🤓🤡🤓🤡🤓🤡🤓🤡🤓🤡🤓🤡🤓🤡

also screw them for discouraging AI. if a tool can help me learn a new language faster i'm using it

"Describe your profession in the worst way possible"

I'm a software developer. I work really hard to create solutions that will make everyone else lazier. At least until I help make sentient AI that ends up replacing me (or killing me)

I'm getting pretty tired of all those fuck faces calling themselves "evangelists" and are talking constantly and euphorically about "digitalisation" and "industry 4.0", as if their "skills" (using a smartphone to share kitten videos and making pointless PowerPoint slides using stock images showing some stupid motherfucker with VR goggles making weird gestures) would help them to rise to the pinnacle of "the future" (as conceived by them), while those stupid shit heads are exactly those we'll get rid of first as soon as somebody develops a bullshit generator AI for technobabble (with an export function to PowerPoint), putting those morons out of business for good.

This seems more creative, like true AI, than predictive or noise reducing like I’m told ChatGPT and current AI is. Help me out?

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

I just find out that AI is gonna extinct humanity. And developers will be on a privileged sit to appreciate that. So i decided to learn python and machine learning to help!

Hello devs!
Please help a fellow dev make a big career decision.
I am a person who is fascinated about AI.
So after working as a gameplay programmer, I have decided to switch my role as a R&D engineer in the same company. I will get to work on cool stuff in the ML and AI domain. But I have got this another job offer for a full stack developer role and the salary is supposed to be three times of my current package. It's great company but the only thing is that they do not have ML and AI in their tech stack. It has been only a year since I graduated, So I wanted to know what would be a good path. To follow what you like or to follow general software development with a great salary hike (which I am sure it would take many years to reach that amount in my current company). Also there are very few companies that offer such a good pay. I want to know that if I go with the salary option, Would it be possible for me to get into the AI domain at a later stage? I would appreciate if you share your experience as well.

Hello, today was my First day, internship at Microsoft innovation center BE, a great day with amazing people, my project is called tech Office, we need to process data from sensors in the office, create and use Microsoft AI to optimize and help the office become smarter and more efficient. Make the life better and the environment more productive. I don't really know where to start but I'm happy to be given such an opportunity and will do everything to make this work !

VS never ceases to amaze me.
What's the point of a FUCKING IDE that
suggests compilation errors with its autocomplete?

What's the fucking point!?

CommandTimeout is an int, not a TimeSpan.
I want autocomplete to HELP ME, not to waste my time with irrelevant noise based on on some AI bullshit.

I want to know who are the motherfuckers who thought this was a good idea. I fucking hate them.

Does someone know how to disable this shit? I disabled everything in Options->Intellicode, but that shit keeps popping up.

Visual Studio 2022, btw

Im a php backend dev for over 7 years. (Lately mostly laravel).
Im going to look for a new job and have 2-3 free weeks to try and learn a new language and switch to that in my next job.
Please advise if i should
1. Switch to Python (should be relatively close to php oop) + opens AI jobs opportunity for the future.

2. Switch to NodeJs. (Web/api knowledge similar to php) + will be easier to learn frontend skills later (ie angular/etc)

3. Look for another PHP job. - if 2-3 weeks is not enough time to learn nodejs/python well enough to get an actual job without experience with them.

Really can't decide which path to take, please help

Have anyone work on chatbot with python? I want to start this project any help will be highly appreciated. I am newby to AI

Hopefully get out to the public the two projects I have been working on currently. A local focused startup help website and a local focused fillable forms platform.

And hopefully get my first large scale software project kickstarted - A retail management system on a full Feedback Driven Development approach perhaps with the ability to integrate AI and ML later on.

So much AI everywhere, I use Warp as terminal on macOS and today they introduced AI assistant and now at least if I sudo rm -rf / I can have someone to ask for help fast enough to know how bad I messed up ¯\_(ツ)_/¯

I'm going to ask Chat GPT to first take over the role of our current leaders in the company cause they are not leading, and then I'm going to take our "relationship" to the next step and go through all my education and experience gained on the job with it being my best friend, teacher and mentor.

Guaranteed I will progress 3 x as fast since it's explanations make more sense to me, I don't have to worry about social queues, I grasp complex topics in a fraction of the time and it genuinely improves me as a human as well as my communication abilities also teaching me to be more precise, patient and happy to help instead of seeing it as another slosh of information to ingest after a 13 hour day. I understand the concerns with Ai but honestly I think this is an amazing opportunity to have the mentor, teacher and guide I always wanted! I hope to rise with the machine

You can comprehend its whole construction completely in two seconds. Yet, a hamster will be entertained by exploring this thing for life.

In the same way, an advanced neural network will be able to figure out our brain's construction and explain it to us.

If you cry AI takeover, remember that just because you can kill a hamster with your hand, and it absolutely can't do anything about it, doesn't mean you'll do this.

Said neural network may have morals completely detached not only from ours, but from the whole concept of "morals" as we know it. Its goals being beyond our understanding doesn't mean it will be hostile and won't help us.

The only thing we'll lose is control. Yet, benefits are so huge that they can transfer us up within the Kardashev scale, and it may be our only way to prevent the death of our civilization.

We don't have control over our nature either. We can't prevent eruptions and earthquakes. Losing control in itself doesn't mean the thing we lost control on will kill us.

I have an interest in methods to make myself smarter. At times some ideas seem to be just out of my reach. I don't always know the reason why. Eventually with persistence I am able to figure things out. However, I always wonder if there are techniques to learn things faster, better, more completely, with less struggle, etc. Would being smarter help with this. I wondered, "Can I create a program/method to increase IQ through training?"

So I found an interesting book called "The Neuroscience of Intelligence" by Richard J. Haier.
Very quickly I was engrossed in this book. It is written in a very accessible way and slowly trickles in the jargon. The book is basically the culmination of 40 years of studying the subject. The main point of the book is: you cannot increase your IQ through techniques and tricks. The only realistic avenue for increasing IQ is through genetics. Your IQ is based upon nature, not nurture. This is a result of the data, not opinion. The writer of this book follows what the science is telling him. This was not what I wanted to hear. He also went on to explain that the statement "You can be whatever you want to be if you work hard enough." He said this is false. Some people, no matter how hard they try, will not be able to get past certain limitations in aptitude. This statement will probably make a lot of people mad, but the data led this researcher to this conclusion. Though I sense he found this disheartening (my opinion). I know I did.

So after reading this book over the weekend I am a bit perturbed that there are not recognizable techniques to increase IQ through mental exercises. Websites all over will say otherwise, but it isn't a thing.

What to do? I decided I am going to find ways to maximize my potential. I will create a set of mental exercises that help me use what I got to the full potential. I know when I see different ways to think about things I get a bit better at solving problems. So learning and experience is still a way to improve your intellect, if not IQ. If I feel like I have made progress in this endeavor I will definitely share.

If you have any interest in neuroscience then I recommend the book I read this weekend. It is very accessible for the reader not versed in the subject. I knew virtually nothing about the topic and now I feel I have a good grounding in the state of the art. It has some neat info on some potentially better approaches to AI as 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.
:(

Why do companies have a competitive coding round when at the end, they want the person to develop things. I know most of them want software engineers instead of developers but the persons developement skills also matters and at the end when the person does not have any developement skills, how is he gonna help.

In one of the program ran by one of the biggest MNC of the World, I was selected from a hackathon and there are some peoples who are selected by a competitive coding round. Now, we are given an assignment in which we have to make a tic-tac-toe game which is AI driven. During one of the meetings with other group members and mentor, many of the persons who got entries by competative programing round does not know any bit of HTML. Out of the 5 weeks of program, they have spent more than 4 weeks in just learning basic HTML, CSS and still they are learning. I don't know even they can complete the program in given timeline or not but this has been a major flaw in recruiting process which I thought is now good.

hard choice guys help me out
AI development needed, but little to no resources, also should a use a gpu or a cpu for this calculations
tesla k70 gpu -
google cloud - $0.7/hr
aws - $0.9/hr but full support upfront if any device issues and device switch instantly
dwave 2000q - don't know because too extreme for medium to large scale apps, also it's a qauntum computer , prices might not be by an hour but by month/year

Working with AI & ML, creating BlockChain apps with KYC. Working on projects worth of 30 milion US dollars for US clients. Got rejected from Serbian company for volunteering in help for they're services security fix.

You know why I know that Francois Chollet's Deep Learning with Python is a good book for beginners?

He takes the idea of A.I in the context of Machine Learning and Python, and makes people realize that we are not going to have big tiddy android girls from her till McCarthy knows when.

Well that sucks. One of my sole purposes behind getting to AI was to have me own Jarvis that could help me build 2B.

Oh well.......

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.

Deep learning. Working on an image classification problem for a big company. The "boss" ask me to teach an AI to classify images into a few classes.

"Mmm, ok...I just need to create the dataset and then build the AI...so.."

Where is the problem??

The problem is that the classes are so perfectly similar that no one knows how to help me create the dataset and I have to do it alone.

That's how you spend your weeks in a loop where you look at thousands of images over and over just to have something decent start your work.

After that I felt like...
"I'm the hero they deserves, but not the one they need right now" - Cit

Looks like Googles recapture is now used to help their deep mind AI identify dick pics 🍆

'You are a programmer? Could you help us out with our novel AI in our company?'
is the new
'Can you fix my printer?'

Hey everyone. I am a recent graduate of 2015. At a company as a front-end dev. I really want to get into the game industry or just work for one. I love Ai, obsessed with it. I am proficent in c++ too. I don't care if I stay as a front-end dev I like that too. I just want I work for something i obsess and passionate about. Any advice?

me@hackathon: Sir, this is our App aimed to help farmers....

Judge(interrupting me): What's the novelty in your idea, it doesn't have ML, AI.

me: 😑

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 really wanna make an AI that will reply all my messages, do all my programming, do my laundry, cook food, buy groceries & help me find my soulmate

Medicine + Machine Learning
Need help

Anyone with dialogflow experience? I wanna create a bot asking many questions with choices. But the no. Of questions that are needed to be asked depend upon a certain variable (eg if X=5, ask 5 questions; x=10 ask 10 questions)

How can one implement such thing in their sdk?

So I'm having this return to the 70s mood. Not for the 70s themselves but for the pack of tech in everyday life.

Like besides email or worldwide message exchange and wikipedia, what have been the last true innovations?

Media streaming just killed and monopolized other industries. Sure, everything is cheaper, but let's be honest, how much music do we consume? Pretty sure like 80% of people listen to the same 100 songs in their whole lifetime. Do we need limitless streaming? Did it help us somehow beyond giving some dopamine shots?

Social media are and have always been crap for posers, advertising and bots. Small communities make sense, when properly taken care of. The actual issue with social media is the replacement of the so called "Third place". The place you go after work that is not your home. We don't know each other anymore, loneliness is apparently becoming pandemic and people are struggling with this. How is this innovative? For the real time news that are making people freak out?

And then, as I ranted before, AI. It's just... Statistics. Well applied statistics. Is it an actual innovation? No. Serves nothing beyond taking someone's job.
And before some retarded dickhead starts no, it will never create the same amount of jobs as a factory would've done 100 years ago, and prompt engineering is a lie told by the very guys who SELL those products to convince you that their crap is harmless.

Maybe it's about time to hit the brakes for a second and think if the simpler things (NOT the times!) were better, if maybe if we're getting lonely is actually our fault, it's our fault for not calling that old friend for a drink, it's our fault if we keep getting some dopamine shot every minute and are barely able to look people in the eyes, it's our fault for not behaving like human beings?

I hope any engineer will understand how this rant is about consumer-oriented tech and not tech in general.

Can anyone recommend some articles or posts regarding turn based game AI?

Been racking my brain for the past few hours and havn't gotten anywhere!

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 am interested in Machine learning and don't know how to proceed. there are tons of courses on udemy, Coursera, udacity etc..
I am doing Coursera machine learning by Andrew Ng and didn't know what to do next. Suggestions will be helpful.
Btw I am doing Machine learning to implement it in Android.

A friend of mine came to ask help for their capstone project.

Adding AI feature to a capstone project that doesn't solve the problem.

Their professor wants to add that because IT students can do it by just downloading a package.

Like, are you serious??

They teach "Hello World" and expects an output of very complex application.

hey if devrant has any suggestions to learn machine learning AI from that would be nice and yes my github is under construction

People, help me out.

(first some abstract thoughts)

I am a final year undergrad yet to take steps in the world and i am trying to figure out what to do with my time, what my end goal and next steps should be.

As of now I think my end goal is "relaxation , peace and happiness of me and my loved ones", and to reach there , i need money.

My younger self chose engineering for a particular reason(that i vaguely remember) and weather it was a right or wrong/illogical decision, i guess i am stuck with it and have to use this only to reach my end goal.
Maybe i am regretting this and want to change. Maybe i am just a lazy ass who is bad in his assigned role of an engineer and is running towards glitter in other fields, whatever it is , i am not going against the decision of my past and accepting my identity as an engineer.
I believe once i am able to achieve my goal( that am still not sure about but overall is a good one from general perspective), i guess i will be satisfied

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(enough with the deep stuff)

I want to learn how to "learn" . like i am always conflicted about what to do next once the tutor leaves my hand.

for eg, let's say i goto a site abc.

1. They got 1 course each for android , web dev and ai. I choose the web dev course and give my hardworking attention to it
( At this point my choice is usually based on the fact that <A> i should not be stupid to buy all 3 course even if i have money/desire to buy all of em because riding 2 horses is only going to break my ass and <B> some pseudo stats like whichever got more opportunity, which i "like", etc(Point B is usually useless in the long run i guess) )

2. From what i have experienced, these courses usually have a particular list of topic that they cover and apply them to 1 or 2 projects. For eg, say that my web dev course taught me 20 something concepts of basic html/css/js/server and the instructor applied it to blog website

BUT WHAT IS NEXT ?

2.1.
>> Should I make more projects using only those particular list of concepts?
I usually have a ton of ideas that i want to implement now that i know how to build a blog site.
say i got a similar idea to make say url shortner. I start with full enthusiasm but in the middle way there is some new thing that i don't know and when i search the internet, i realize that there are 5 ways to implement such concept, making me wander off towards a whole list of concepts that were not covered in my original 20 concept course. This makes the choice 2. 2

2.2
>> Should I just leave everything , go to docs and start learning concepts from the scratch ??
Usually when i start a project, i soon realize that the original 20 concepts were just the tip of iceberg and there are a ton of things one should know, like how os works, how a particular component interacts with another, how the language is working, how the compiler is executing, etc .
At that point i feel like tearing all my notes away, and learning every associated thing from the scratch. No matter how much my project suffers, i want to know how the things are working from the bottom , like how the requests are being mad, how the routes are working, etc which might not even be relevent for the project.

Why i want to follow approach 2? because of the Goal from abstract thoughts. in theory, having deep knowledge is going to clear my interview thereby getting me a good job.
I will get good money, make projects faster and that will be a happily ever after story.

But in practical this approach is bringing me losses and confusion. every layer of a particular thing i uncover, turns out there is another layer below that. The learning never stops. Plus my original project remained incomplete.

What is your opinon, how do you figure out what to do next?

A long time ago I got an idea for an Internet concierge shopping service that would pair you up with a human to help you comparison shop anything. Obviously this was before AI or the kind of tech we’re used to now. The idea was that the help of a real live person to help you track down deals was better than some of the emerging product recommendation engines I was researching. I figured I’d at least make a short term business out of it until tech caught up. So I built the site, DB, and business logic and recruited my bargain-hunting wife to help people find good buys. It worked ok, but wasn’t easy to monetize because people wanted her help for free rather than pay any kind of fee. Their perception was they weren’t saving a substantial amount if they had to pay someone to help them. Of course, our pitch was that by paying someone to help them, they might avoid paying more by trying it on their own.

It was an interesting experiment anyways.

I am new to this so bare with me ,
how do you create intents for dialogue flow using c# so that you can use them in your agent .
I scavaged the internet for the solution for this but i only found the official documentation by google i need help or a tutorial to understand how do i create intents ,entities in c# code

Hello people, i came here because i thought u could help with my problem, there is this app called moviebot, it turns your prompts into movies using chatgpt. It is going out of service october 5th. Somebody should stop it from shutting down.

I keep having this recurring idea that I can fill in the gaps in my education by writing video games that allow me to explore those topics. This would force me to learn the subject well enough to share it with other people. So it would not be just surface level.

I keep thinking of a program that explores and visualizes math topics and programming topics. I would really like to have a program that allows me to visualize memory cells for algorithm exploration. Or a really nice graphing calculator in the computer that allows me to view multiple graphs to compare and contrast equations.

What holds me back is both math and CS are huge topics. I feel like any kind of playground would only cover a small subset. Ideally whatever I make should be extendable over time to add content and topics. It would need to be somewhat fun as well.

I can imagine an AI training program where you help your character navigate a room of hazards or die. This could be one such fun challenge.