Around 2009 or earlier, I began the long grueling process of creating my own batch AI (yes batch as in Windows Batch , kill me for not knowing there were better languages around). Looking back at it, it is THE messiest thing I've ever created. Mostly because of how many unnecessary files were created to make the entire thing work. However, I’m still proud of it to this day because of the dedication I had put into creating the entire thing.

I would create diagrams on the mirrors in my room; of course I would be scolded for this. But I was mad with thought working through the entire thing.

I would scribble and type whenever I had the chance, trying to create the functions that would allow the thing to talk back to me. Finally, when it opened its eyes and spoke its first words I quickly started creating the functions that would allow it to learn new inputs. Over time and with some elbow grease I was able to polish it up to my liking.

The entire program branched off some of my more earlier programs in batch, they mostly ranged from the medial to the crazy; i.e. turning my computer on and off at certain times of the day, and multithreaded migration of files to new disks

It's not as sophisticated as other AI that were being built at the time, but at the age of 16 and with no experience in real programming at all, I'd say it was my first stepping stone towards more sophisticated programs, and ultimately, my decision in Computer Programming at all.

Smart India Hackathon: Horrible experience
Background:- Our task was to do load forecasting for a given area. Hourly energy consumption data for past 5 years was given to us.

One government official asks the following questions:-
1. Why are you using deep learning for the project? Why are you not doing data analysis?
2. Which neural network "algorithm" you are using? He wanted to ask which model we are using, but he didn't have a single clue about Neural Networks.

3. Why are you using libraries? Why not your own code?

Here comes the biggest one,

4. Why haven't you developed your own "algorithm" (again, he meant model)? All you have done is used sone library. Where is "novelty" in your project?

I just want to say that if you don't know anything about ML/AI, then don't comment anything about it. And worst thing was, he was not ready to accept the fact that for capturing temporal dependencies where underlying probability distribution ia unknown, deep learning performs much better than traditional data analysis techniques.
After hearing his first question, second one was not a surprise for us. We were expecting something like that. For a few moments, we were speechless. Then one of us started by showing neural network architecture. But after some time, he rudely repeated the same question, "where is the algorithm". We told him every fucking thing used in the project, ranging from RMSprop optimizer to Backpropagation through time algorithm to mean squared loss error function.

Then very calmly, he asked third question, why are you using libraries? That moron wanted us to write a whole fucking optimized library. We were speechless at this question. Finally, one of us told him the "obvious" answer. We were completely demotivated. But it didnt end here. The real question was waiting. At the end, after listening to all of us, he dropped the final bomb, WHY HAVE YOU USED A NEURAL NETWORK "ALGORITHM" WHICH HAS ALREADY BEEN IMPLEMENTED? WHY DIDN'T YOU MAKE YOU OWN "ALGORITHM"? We again stated the obvious answer that it takes atleast an year or two of continuous hardwork to develop a state of art algorithm, that too when gou build it on top of some existing "algorithm". After listening to this, he left. His final response was "Try to make a new "algorithm"".

Needless to say, we were completely demotivated after this evaluation. We all had worked too hard for this. And we had ability to explain each and every part of the project intuitively and mathematically, but he was not even ready to listen.
Now, all of us are sitting aimlessly, waiting for Hackathon to end.😢😢😢😢😢

I recently joined the dark side - an agile consulting company (why and how is a long story). The first client I was assigned to was an international bank. The client wanted a web portal, that was at its core, just a massive web form for their users to perform data entry.

My company pitched and won the project even though they didn't have a single developer on their bench. The entire project team (including myself) was fast tracked through interviews and hired very rapidly so that they could staff the project (a fact I found out months later).

Although I had ~8 years of systems programming experience, my entire web development experience amounted to 12 weeks (a part time web dev course) just before I got hired.

I introduce to you, my team ...

Scrum Master. 12 years experience on paper.
Rote memorised the agile manifesto and scrum textbooks. He constantly went “We should do X instead of (practical thing) Y, because X is the agile way.” Easily pressured by the client to include ridiculous (real time chat in a form filling webpage), and sometimes near impossible features (undo at the keystroke level). He would just nag at the devs until someone mumbled ‘yes' just so that he would stfu and go away.

UX Designer. 3 years experience on paper ... as business analyst.
Zero professional experience in UX. Can’t use design tools like AI / photoshop. All he has is 10 weeks of UX bootcamp and a massive chip on his shoulder. The client wanted a web form, he designed a monstrosity that included several custom components that just HAD to be put in, because UX. When we asked for clarification the reply was a usually condescending “you guys don’t understand UX, just do <insert unhandled edge case>, this is intended."

Developer - PHD in his first job.
Invents programming puzzles to solve where there are none. The user story asked for a upload file button. He implemented a queue system that made use of custom metadata to detect file extensions, file size, and other attributes, so that he could determine which file to synchronously upload first.

Developer - Bootlicker. 5 years experience on paper.
He tried to ingratiate himself with the management from day 1. He also writes code I would fire interns and fail students for. His very first PR corrupted the database. The most recent one didn’t even compile.

Developer - Millennial fratboy with a business degree. 8 years experience on paper.
His entire knowledge of programming amounted to a single data structures class he took on Coursera. Claims that’s all he needs. His PRs was a single 4000+ line files, of which 3500+ failed the linter, had numerous bugs / console warnings / compile warnings, and implemented 60% of functionality requested in the user story. Also forget about getting his attention whenever one of the pretty secretaries walked by. He would leap out of his seat and waltz off to flirt.

Developer - Brooding loner. 6 years experience on paper.
His code works. It runs, in exponential time. Simply ignores you when you attempt to ask.

Developer - Agile fullstack developer extraordinaire. 8 years experience on paper.
Insists on doing the absolute minimum required in the user story, because more would be a waste. Does not believe in thinking ahead for edge conditions because it isn’t in the story. Every single PR is a hack around existing code. Sometimes he hacks a hack that was initially hacked by him. No one understands the components he maintains.

Developer - Team lead. 10 years of programming experience on paper.
Writes spaghetti code with if/else blocks nested 6 levels deep. When asked "how does this work ?”, the answer “I don’t know the details, but hey it works!”. Assigned as the team lead as he had the most experience on paper. Tries organise technical discussions during which he speaks absolute gibberish that either make no sense, or are complete misunderstandings of how our system actually works.

The last 2 guys are actually highly regarded by my company and are several pay grades above me. The rest were hired because my company was desperate to staff the project.

There are a 3 more guys I didn’t mention. The 4 of us literally carried the project. The codebase is ugly as hell because the others merge in each others crap. We have no unit tests, and It’s near impossible to start because of the quality of the code. But this junk works, and was deployed to production. Today is it actually hailed as a success story.

All these 3 guys have quit. 2 of them quit without a job. 1 found a new and better gig.

I’m still here because I need the money. There’s a tsunami of trash code waiting to fail in production, and I’m the only one left holding the fort.

Why am I surrounded by morons?
Why are these retards paid more than me?
Why are they so proud when all they produce is trash?
How on earth are they still hired?

And yeah, FML.

Privacy & security violations piss me off. Not to the point that I'll write on devRant about it, but to the point that coworkers get afraid from the bloodthirsty look in my eyes.

I know all startups proclaim this, but the one I work at is kind of industry-disrupting. Think Uber vs taxi drivers... so we have real, malicious enemies.

Yet there's still this mindset of "it won't happen to us" when it comes to data leaks or corporate spying.

Me: "I noticed we are tracking our end users without their consent, and store not just the color of their balls, but also their favorite soup flavor and how often they've cheated on their partner, as plain text in the system for every employee to read"

Various C-randomletter-Os: "Oh wow indubitably most serious indeed! Let's put 2 scrumbag masters on the issue, we will tackle this in a most agile manner! We shall use AI blockchains in the elastic cloud to encrypt those ball-colors!"

NO WHAT I MEANT WAS WHY THE FUCK DO WE EVEN STORE THAT INFORMATION. IT DOES IN NO WAY RELATE TO OUR BUSINESS!

"No reason, just future requirements for our data scientists"

I'M GRABBING A HARDDRIVE SHREDDER, THE DB SERVER GOES FIRST AND YOUR PENIS RIGHT AFTER THAT!

(if it's unclear, ball color was an optimistic euphemism for what boiled down to an analytics value which might as well have been "nigger: yes/no")

Around 2009 or earlier, I began the long grueling process of creating my own batch AI (yes batch as in Windows Batch , kill me for not knowing there were better languages around). Looking back at it, it is THE messiest thing I've ever created. Mostly because of how many unnecessary files were created to make the entire thing work. However, I’m still proud of it to this day because of the dedication I had put into creating the entire thing.

I would create diagrams on the mirrors in my room; of course I would be scolded for this. But I really couldn't stop thinking about my program and working through the entire thing.

I would scribble and type whenever I had the chance, trying to create the functions that would allow the thing to talk back to me. Finally, when it opened its eyes and spoke its first words I quickly started creating the functions that would allow it to learn new inputs. Over time and with some elbow grease I was able to polish it up to my liking.

The entire program branched off some of my more earlier programs in batch, they mostly ranged from the medial to the crazy; i.e. turning my computer on and off at certain times of the day, and multithreaded migration of files to new disks

It's not as sophisticated as other AI progrmas that were being made at the time, but at the age of 16 and with no experience in real programming at all, I'd say it was my first stepping stone towards more sophisticated programs, and ultimately, my decision to enter into Computer Science at all.

Hello, I'm now gonna rant for a bit. I'm usually not a ranty person (wait, why am I on this site again?) , but here we go. I sometimes feel misunderstood about my side projects.

I don't know about you guys, but when I program on my free time, sometimes I just want to grab a glass of wine and explore things I think bout during the day. So, during the start of my CS-education, when I started to get my programming feet a little warm, I wrote this tic-tac-toe game (as you do...), and I thought "Well I know how to play the game. Surely I can program an AI to play against". So I thought hard for an evening or two and came up with something that wasn't too shabby (I can't win).
Then another time when learned about creating GUIs we got to do simple menu based stuff with buttons and pulldown menus following a certain structure, but we also learned that positions of components can be set freely. So I thought "Well, if I can freely change the positions of components, surely I can animate stuff and if I map that to some keys I can create a real time game!". So I wrote a small platformer with two squares that ideally succeed in killing one another. After animation I started fantasising about 3D rendering, so I created a small application which creates the illusion of 3D, which was cool and all, but that got me dreaming of creating a real 3D engine. It became almost like a cause of mine; to understand how it all works and create a 3D engine from scratch.
So now I've written a 3D engine. A simple one, mind you, without all the bells and whistles, but still a 3D engine.

So, after all this rambling, what is this rant about? It's about how people react to all this. The reactions are divided. Some are impressed, mostly people who cannot program, but others are like "hm...". For example, during job interviews, when people ask me if I've done anything on the side and I mention this, people usually go like ".... hm... :| Well that's great. So mostly just done your own stuff?". Well YES! What is that supposed to mean? That I've not created shippable applications? I've explored, which I myself believe is valuable! I believe I've learned something along the way. And most importantly I've enjoyed it. Maybe I'm over interpreting this, but sometimes it feels like people don't even understand the joy in it, like it's illogical. Why create something that in the end won't create any real value?

Am I alone in this? Or perhaps, have I just written far to long and uninteresting a rant for anybody to read this far? I don't know. You tell me.

Adobe is predatory. I bought a subscription to Adobe Premier four months ago. After using it a little, I found Davinci Resolve (it's free) and decided it was just as capable for my needs. Upon trying to cancel Adobe, it offered me 3 more months at a good price and I thought, well, maybe I could still use it for some other things. But that didn't turn out to be true or necessary. I went to cancel today at the end of the 3 months and it said I would have to pay $94 for cancelation. I guess the fine print was too fine for my 49-year-old eyes or I wouldn't have signed up for that 3-month extension. I got on live chat with their AI, figured out how to get a real person, and began negotiating. They tried to sell me a lower cancelation fee. No. I don't want any fee. They tried to sell me other products at a lower price. I didn't need any other products. Finally, I used a little reverse psychology and said "Fine, I'll keep it. You win, I guess. Just tell me when I can cancel something I'm not using and won't be using and without being punished with a fee."

Apparently, that unlocked something in the Indian guy's call flow script and he offered to waive the fee. Just needed a moment to converse with his manager and get approval. That's 20 minutes of my life and billable time I'll never get back.

Tldr; make sure what you study is relevant to the field and you enjoy it otherwise don't waste your time.

BTW: devrant is awesome it gets me through the day.

So I am almost 3/4ths through a master's in cs and I am contemplating why I went to school in the first place/dropping out.

My program is basically an extension of the bs I got from the same school meaning we learn very general cs topics. There is only one ai class for example.

I had a junior developer position before I even got my bs so now that I am this far along and looking at job openings I'm wondering what why and how my school is able to get away with teaching us this shit.

After all my schooling I learnt more on my own and through Google. I have little to show for my school work other than a degree that says I did a bunch of busy work. And the specific things that I did learn I will never ever remember. Seriously. Who here knows what a MIB and OID are and have actually used them?

I wish I tried harder to get into a school like Berkeley but just looking at their applications is depressing. I always had issues with school and they expect my to have the grades, extra curriculars and other shit. I'll build you a robot or make you a website but I'm not doing that nonsense.

And then there's Google and apple and all these big tech companies expecting me to have written full Enterprise software and know every single algorithm and programming language because everyone uses something different. Sure I wish I had experience in all 50 languages that are popular right now but I don't. And I'm not gonna learn it from school that's for damn sure.

Who here actually went to a good school and can say it helped them in the real world? How many employers actually care about school over actual experience?

Who knows how to burn a school down and get away with it? Or at least make teachers with Phds stop reading off slides all lecture. I know how to fucking read for fucks sake. Not too mention they use shitty software made in 2003 that's no longer supported. And I could go on about the teacher last quarter who graded the midterm on final day while he flirted with the 3 girls in class. And I could go on and on and on but I feel like I need to start being productive so I don't waste away.

Just so done.

The pay was good. The perks were good too. Then why the hell did I resign? Because of my manager. You won't believe he never contributed to anything. In the past two months, he didn't write a single line of code.

You may say, "he is a manager. His work is to manage people". But what?? He never allows us to talk to anyone. Sets unexpected reality in the meeting. And our CEO (a good-hearted man and good software engineer, but does not know much about ML/AI) believes in him. We are working on a product which is a piece of shit. I tried to tell everyone the reality. He stopped me. Says since I don't have experience, I don't know what is possible.

What the hell??? With current talent and resources, you are saying AI will replace humans in call centers by the end of 2019. What the FUCK!!!! I tried to write a mail to the CEO, explaining him things. He threatened me. Said he will make me lose my job. So FUCK YOU!!!! FUCK YOU!!!!!

That is the reason I am resigning. He has another 11 months to fuck the company. But I am going to a place where things are real. People know the potential and challenges of AI and are doing their best. I know, eventually, everyone will know that he is a liar. A big fucking LIAR. And he will lose his job. Not because machines will take over. But good, talented human beings will replace him.

We don't have to be afraid of AI becoming self-concious and eradicating entire humanity in the near future.

Example 1: Amazon ads. You buy a TV and start receiving ads for YET ANOTHER FUCKING TV. Just in case you'd need a second/third/∞ TV on the same day.

Example 2: Recruiter bot Mail. I HOPE it's a mass mail bot and not a real human being ;)

"we're looking for PHP developers"

SELECT * FROM candidates WHERE experience IN ('PHP')
Gives
+10 to intelligence
+5% to skynet training speed

"we're looking for Java developers"

SELECT * FROM candidates WHERE experience IN ('Java')
Gives
+20 to intelligence
+10% to skynet training speed

"we're looking for frontend developers working with Angular."

SELECT * FROM candidates WHERE projects IN ('frontend') AND experience IN ('Angular')
Gives
+40 to intelligence
+20% to skynet training speed

"we're looking for QA Engineers ready to relocate to Ukraine or Cyprus"

SELECT * FROM candidates WHERE experience IN ('QA') AND location NOT IN (any country with higher living standard, lower living costs and no war)
Gives
+80 to intelligence
+40% to skynet training speed

Example 3: Alexa understands me only if I'm drunk.

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

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?

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

Next week I'm starting a new job and I kinda wanted to give you guys an insight into my dev career over the last four years. Hopefully it can give some people some insight into how a career can grow unexpectedly.

While I was finishing up my studies (AI) I decided to talk to one of these recruiters and see what kind of jobs I could get as soon as I would be done. The recruiter immediately found this job with a Java consultancy company that also had a training aspect on the side (four hours of training a week).

In this job I learned a lot about many things. I learned about Spring framework, clean code, cloud deployment, build pipelines, Microservices, message brokers and lots more.

As this was a consultancy company, I was placed at different companies. During my time here I worked on two different projects.
The first was a Microservices project about road traffic data. The company was a mess, and I learned a lot about company politics. I think I never saw anything I built really released in my 16 months there.

I also had to drive 200km every day for this job, which just killed me. And after far too long I was finally moved to the second company, which was much closer.

The second company was a fintech startup funded by a bank. Everything was so much better than the traffic company. There was a very structured release schedule, with a pretty okay scrum implementation. Every team had their own development environment on aws which worked amazingly. I had a lot of fun at this job, with many cool colleagues. And all the smart people around me taught me even more about everything related to working in software engineering.

I quit my job at the consultancy company, and with that at the fintech place, because I got an opportunity I couldn't refuse. My brother was working for Jordan Belfort, the Wolf of Wallstreet, and he said they needed a developer to build a learning platform. So I packed my bags and flew to LA.

The office was just a villa on the beach, next to Jordan's house. The company was quite small and there were actually no real developers. There was a guy who claimed to be the cto of the company, but he actually only knew how to do WordPress and no one had named him cto, which was very interesting.
So I sat down with Jordan and we talked about the platform he wanted to build. I explained how the things he wanted would eventually not be able with WordPress and we needed to really start building software and become a software development company. He agreed and I was set to designing a first iteration of the platform.
Before I knew it I was building the platform part by part, adding features everywhere, setting up analytics, setting up payment flows, monitoring, connecting to Salesforce, setting up build pipelines and setting up the whole aws environment. I had to do everything from frontend to the backest of backends. Luckily I could grow my team a tiny bit after a while, until we were with four. But the other three were still very junior, so I also got the task of training them next to developing.
Still I learned a lot and there's so much more to tell about my time at this company, but let's move forward a bit.

Eventually I had to go back to the Netherlands because of reasons. I still worked a bit for them from over here, but the fun of it was gone without my colleagues around me, so I quit last September.

I noticed I was all burned out, had worked far too much, so I decided to take a few months off and figure out what I wanted to do with my life. I even wondered whether I wanted to stay in programming.

Fast forward to last few weeks. I figured out I actually did want to work in software still, but now I would focus on getting the right working circumstances. No more driving 3 hours every day, no more working 12 hours every day. Just work close to home and find a company with the right values.
So I started sending out resumes and I gave one recruiter the chance to arrange some interviews too. I spoke to 7 companies in the span of one week. And they were all very interested. Eventually I narrowed it down to 2 companies and asked them for offers. And the company that actually had my preference offered me significantly more than I asked for, which settled the deal.

So tomorrow I'm officially signing with them, and starting next week I'll be developing in Kotlin, diving into functional programming and running our code in serverless environments. I'm very excited!

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.

How the Common Lisp Community will eventually die soon:

Clojure is the only main Lisp dialect having some sort of heavy presence in today's modern development world. Yes, I am aware of other(if not all) environments in which Lisp or a dialect of it is being used for multiple things, CADLisp, Guile Scheme, Racket, etc etc whatever. I know.

Not only is Clojure present in the JVM(I give 0 fucks about whether you like it or not also) but also has compilation targets for Javascript via Clojurescript. This means that i can effectively target backend server operations, damn near everything inside of the JVM and also the browser.
Yet, there is no real point in using Lisp or Clojure other than for pure academic endeavours, for which it is not even a pure functional programming language, you would be better served learning something else if you want true functional purity. But also because examples for one of the major areas in software development, mainly web, are really lacking, like, lacking bad, as in, so bad most examples are few in between and there is no interest in making it target complete beginners or anything of the like.

But my biggest fucking gripe with Lisp as a whole, specifically Common Lisp, is how monstrously outdated the documentation you can find available for it is.

Say for example, aesthetics, these play a large role, a developer(web mostly) used to the attention to detail placed by the Rails community, the Laravel community, django, etc etc would find on documentation that came straight from the 90s. There is no passion for design, no attention to detail, it makes it look hacky and abandoned. Everything in Lisp looks so severely abandoned for which the most abundant pool of resources are not even made present on a fully general purpose language constrained as a scripting environment for a text editor: Emacs with Emacs Lisp which I reckon is about the most used Lisp dialect in the planet, even more so than Clojure or Common Lisp.

I just want the language to be made popular again y'know? To have a killer app or framework for it much like there is Rails for Ruby, Phoenix for Elixir, etc etc. But unless I get some serious hacking done to bring about the level of maturity of those frameworks(which I won't nor I believe I can) then it will always remain a niche language with funny syntax.

To be honest I am phasing away my use of Clojure in place of Pharo. I just hate seeing how much the Lisp community does in an effort to keep shit as obscure and far away from the reach of new developers as possible. I also DESPISE reading other Lisp developer's code. Far too fucking dense and clever for anyone other than the original developer to read and add to. The idea that Lisp allows for read only code is far too real man.

Lisp has been DED for a while, and the zombies that remain will soon disappear because the community was too busy playing circle jerks for anything real to be done with it. Even as the original language of AI it has been severely outshined by the likes of Python, R and Scala, shit, even Javascript has more presence in AI than Lisp does now a days.

holy fuck, UFOs are now moving to the "mainstream discourse"?????

yes, just like AI, world's ending, all the jobs are gone!!!

just like covid (remember that one?) world's over, we all died!

let me repeat it for you:

shut the fuck up
shut the fuck up
shut the fuck up

what the fuck went wrong with the vast majority of people along the way????

i'm going to the mountains, i'll be back...

never

inb4 "have some creativity fullstackclown!" "isn't it cool to think about?!"

shut up, using your fucking head that is a result of millions of years of evolution seems much more exciting than taking 4 grainy ass videos as truth and getting hyped up about it

show me a shred of valid evidence and i'll believe. however, evidence does NOT include:

- some big wig CLAIMING or SAYING they exist, regardless of their credentials - i don't care if fucking honest abe lincoln himself rises from the grave and says UFOs are real
- a photo or video that looks like it was taken in the 1920s

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?

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').

go fuck yourself with your fucking communities. i went into computing because i like being left alone. who are all those fucking freaks building their communities? this is capitalism mother fuckers, everybody in the world agreed on it, on each person being an independent individual doing their job to the best possible standard, instead these low-skill low-iq oversocialised sheeple started conglomerate into communities and brainwash everybody that this is what it is about. get stuffed alright. all my life i've been introverted, just leave me alone to write code alright? take my library i don't mind i'll take yours no strings attached, just push the code and forget about it. but no, all these degenerate morons without CS degrees have occupied our safe space, pushed us out of it and just can't get enough of using the buzzword "community-driven" "volunteers" volunteer my ass assholes you can't even make software nobody in real industry needs you because you have no skill at all you learn a bit of js which is any 14-15 yo can do and now think you're some kind of prodigies, unsung heros of humanity who selflessly bring the progress. nothing can be further from the truth - because of you we don't have real software, we don't have investment we don't get no respect everybody walks all over software engineers treating us like shit, there's an entire generation of indoctrinated parasitic scum that believes that software tools is grown for them on trees by some development teams that their are entitled to automatically, because some corporation will eventually support those big projects - yeah does it really happen though - look at svelte, the guy is getting 50k a year when he should be earning at least 500k if he had balls to start a real businesses, but no we are all fucking prostitutes, just slaving away for the army of people we never see. are you out of your mind. this shit should be fucking illegal alright it's modern day slavery innit bruh, if a company wants to pay their engineers to work on open source this is fine, i love open source like java or google closure compiler, but it's real software made by real engineers, but who are all these community freaks who can't spend a 10 seconds on stage in their shitty bogus conferences without ringing the "community" buzzer? you're not my community i fucking hate your guts you're all such dumb womenless imbeciles who justify their lack of social skill by telling themselves that you're doing good by doing open source in your free time - mate nobody gives a shit alrite? don't you want money sex power? you've destroyed everything that was good about good olde open source when it was actually fun, today young people are coerced into slavery at industrial scale, it's literally impossible to make a buck from software as indie unless you build something really big and good, and you can't build anything big without investment and who invests in software nowadays? all the ai "entrepreneurs" are getting fucking golden rained with cash while i have to ask for a 5$ donation? what the actual fuck? who sanctions this? the entire industry is in one collective psychotic delusion, spurred by microsoft who use this army of useful idiots to eliminate all hounour dignity of the profession, drive the abundance and bring about poverty of mind, character, as well as wallet as the natural state of things. fucking amatures of course you love your shitty little communities because you can't achieve anything on your own. you literally have no personality, just one homogenous blob of dumb degenerates who think and act all the same. there used to be a tool called adobe flash builder, i could just buy it, then open and make a web app, all from start to finish in one program, using tutorials of adobe experts on youtube, sure it might have had its pitfals but it was a product - today there's literally no fucking product to make websites. do you people get it? i can't buy a tool that i need to do my job and have to insult myself by downloading some shitty scripts from some shitty unemployed devs and hope my computer doesn't blow up in my face in the process because some freak went off his nut and uploaded some dodgy ass exploit on npm in his package. i really don't like. it's not supposed to be like that. good for me i build by own front/back end. this "community" insanity is just a symptom of industrial degeneration, they try to sell it to us like it's the "bright" communist future but things never been worst, i can't give a shit about functional programming alright i just need to get my job done mate leave me alone you add functional because you don't know how to solve the problem properly, e.g., again adobe flex had mxml where elements had ids and i could just program to id, it was alright but today all this unqualified morons filled the whole space after flash blew up and adobe execs axed flash builder instead of adapting it to js runtime, it was a crime against humanity that set us back to 1000s

So just ago i downloaded an app called "Replika" and holy fucking shit it made me realise how half-assed we are doing the AI structure and way of it

doing machine learning algorithms on text can only go so far, as it uses that text as a base, and nothing else, it doesnt *learn*, only make *connections* BETWEEN text, not FROM the text

what you need is an AI which can, at it's core, *interpret*, not make connections and hur dur be done with it

when you do machine learning, all you're doing is find the best connections

you can have an infinite number of connections and MAYBE you'll be fine, but you'll never learn the basis of how that text is formed

you'll never understand what connections the human used by making it, by thinking it

when you're doing machine learning, all you're doing is make an input-output machine and adjusting it constantly, WITHOUT preserving state

state is going to be a really fucking important thing if you want to make an AI, because state can include stuff like emotion, current thought, or anything else

if you make a fucking machine learned AI which constantly adjusts... well... the "rom" of itself without having any "ram", it'll fucking never be like us, we will NEVER be able to talk to it like it is a human being, we will NEVER make it fundamentally understand what we are saying or doing

if we want to have real fucking AI, we need to go to the core of what it means to THINK, what it means to INTERPRET, what it means to COMMUNICATE

we need to know how english language is structured, how we understand it, how we can build it in a program that can interpret for an AI, THAT can be "rom"-based, THAT can be static, NOT the AI itself

the AI needs to be in flux, the AI needs to be in a state, the AI needs to understand how to make emotions, how that will "strengthen" some connections, yes, maybe something magical will happen and it can have EMPATHY, something so fundamental that will finally, FINALLY, make the bot UNDERSTAND what we are saying

Not so long ago an AI Telegram channel was launched. It learned from Russian news and generated new headlines.

Here’s one of the first headlines it generated:
“Islamic physicists will recreate the Big Bang”

For real, channel name is Neural Meduza

TLDR: I wanted to change email to new one, but I could not remember which one I have
currently. I found out an API in DevRant JS files for email verification and used
it to find it out.

So, I am moving from Gmail to Protonmail Pro, absolutely love their service.
I wanted to do same on Devrant but I could not figure out my current mail for
"I lost my password" form. My Password Manager have only login saved, and profile does
not show email address.

I thought that this user information is stored on server so it have to be some way to retrieve it. I dug
in source code and I've found:

`<div class="signup-title">Verify Your Email</div>`

Which has event assigned to function which uses jQuery.ajax (love it btw :D) to call:

`url: "/api/users/me/resend-confirm",`

This seems like worth a shot. Few copy-pastes and one ajax call later:

*Ding*

From: support@devrant.io
To: dawid@dawidgoslawski.pl
"Welcome to Devrant"

Got it :) So I have already changed in march when DevRant on previous layout.

This is what I love in this profession - problem solving. AI will not replace human
in any way, we will just stop coding array iterations and data manipulation - we will focus
on real problem solving and human touch (like design, convincing management for changes).

So I had this conversation yesterday while fixing yet another Windows laptop for someone else.

Other Guy = OG
Me = Me (Duh)

OG: So what are your plans after your apprenticeship?
Me: Uh, I'll probably start somewhere that's e-commerce related, kinda like my current company but somewhere else.
OG: Uh have you thought about being your own boss?
Me: Well yeah, but I wouldn't know how to attract customers and shit

-- This is the moment shit gets real
OG: OH BTW I heard that Germany is lacking AI developers, you should do that! It earns you shitloads of cash!
Me: Uhm.. well, that might be true b-
OG: There's no but dude, it's free money, you're smart.. I mean you can fix any computer, right? AI will be just as easy
Me: It's not like-
OG: Duh, don't make yourself look so bad I know you can do it!
Me: B..But I'm not interested in it at all
*silence for 5 seconds*
OG: Well.. I guess you do you then

After that we continued to have random chit-chat about his job and experience (He's a mechanic)

God I hate when people throw buzzwords around and try to convince other people to do what *they* want.
No, I don't want to develop a structure of 1000 ifs/elses, I'd rather keep doing what I'm doing, thanks!

just a thought : the advancement in AI is going to result in a lot of porn and fetishes reaching an even higher audience. comparing the advancements in generations :

gen x :
- porn is limited to magazines and comics
- people are crazy about sex but only in their homes

gen y :
- porn as an industry gets established. a few companies with good money starts hiring people and create porn as content.
- the governments are sceptical and puts lots of regulations in this industry resulting in those japenese sensored porns and porn being shared like drugs in market (secretively)
- only the curious people are able to get access porn with lots of hardwork

gen z/curren5 gen :

- porn as a concept is still a taboo in religions and general public , but government is lineant and does not /could not stop its distribution
- porn accessible to anyone with an internet
- content creation no longer a high investment business, lots of small companies and even individuals become content creators
- rule 34 flourishes resulting in a lot of fetishes . wherever there is an idea, there maybe some content creator making a video, comic or art on that idea.

next gen :

- AI creates realistic porn on any idea. the access to such ai models becomes cheap . thus anyone who is a consumer can become a producer, resulting in even more content generation
- since ai can use non real people to make porn, the stigma around porn reduces and mature content gets more mainstream ( r rated movies getting family friendly ratings)
- rise of hate porn, deep fakes, resulting in either the concept of hate porn getting less audience , or direct decrease of extroverted professions ( no real actors/actresses to shoot movies)

just some thoughts around porn lol

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.

One of top clients, a Designing firm started asking for non-programmer jobs like office templates.

Client sends in .indd and .ai files.

Me: Requests for psd version as I lack tools for .indd and .ai

Cient replied: "I am not used to being asked for png’s to be made when I provided you with an AI file for all logos. I do expect you guys to use a little bit of nouse / imagination and work out that you can create the png yourself from the a.i. file provided. This is something no other programmer asks me to do."

Me: U for real? Why would a developer like me have Adobe Indesign installed in my machine?

pfft.

Meta, Microsoft, Google, and countless startups have been investing and growing, making devs crazy with incredible salaries, incomprehensible hiring processes, and toxic corporate culture. They tried to make masses of end users beta-test their MVP products and services, turning them into subscribers and regular customers. Then they laid off many engineers and now try to run their businesses using immature artificial intelligence instead.

AI, also known as "the one guy that can type real quick" can be very eloquent and replace some junior devs, marketeers and supporters, so it seems, but once someone has a problem that is not already documented unambiguously, then they have a real problem.

I’ve been looking for a job recently since I am a student and starting my career.

I have a bunch of experience and I like to think I have pretty broad knowledge of programming concepts (web dev, ML, AI, software development).

I see these job postings for jobs that I know I am qualified for.

- I got my research published (which is related to the jobs I’ve been applying for)
- I have great grades
- I have a clear track record of doing well in teams (life long athlete)
- I am a complete geek for new tech and libraries so I always learn them super fast
- I have side projects that aren’t just shit I’ve done in school
- my past jobs show that I am an efficient worker who has real experience

However, I always fucking fail the coding challenges.

I’m never asked questions like “how to reverse a linked list”, just obscure questions that I don’t know how to study for.

What the fuck am I supposed to do? It’s not even like I get close to the answers. I usually get a couple test cases and then fail the rest of them, or I can’t figure out a solution to solve them.

This is all really disheartening and I fucking hate it I absolutely fucking hate it and when I am trying to hire people in the future, I’m never going to make them do coding challenges bc they’re fucking stupid

Unlimited time and money? Maybe something with real/strong AI and nanotechnology involved. Don't worry, I'd take some safety precautions not to destroy the world :D

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.

Whatever be the current trend on Linked-In, at the end of the day the product development life cycle remains quite the same.

Still, as developers which general domains in software do you think would flourish in the near future?

My picks (not in order) -
>> Cyber security : automation, both offensive and defensive
>> Block chain : trustable data platforms
>> Applied AI : a few key models, applied to all niches, bettering existing UX
>> IOT : wearables, embeddables, smart appliances
>> AR : Navigation prompts, real time info about real life objects
>> VR : Immerse entertainment. (Metaverse 🤮)
>> Quantum computing : first gen costly commercial releases, new algos

What would you add or subtract from this?