To be able to code blind folded - literally. A few years back when the web speech synthesis apis came out and chat bots were raging I thought it would be cool to dictate pseudo code on the fly whole whiteboard the problem. When I investigated the easiest way to implement a mvp I was shocked to learn that there are BLIND programmers.

That alone is impressive and I went on to find that many have years of experience and add valuable contributions on a regular basis. Unfortunately I havnt had an opportunity to meet one yet but I am in utter awe of their accomplishment.

Should I get the chance I want to try and walk in their shoes, live a day without my eyes and learn to solve problems without spotting a pattern

It's funny how all the pretty girls on LinkedIn want to have a cup of coffee with me after I updated my profile to match my current position. Previously not even bots on Tinder would chat to me.

I don't understand all the buzz around chat bots, they are literally just command lines with voice input

Fucking useless bots.

I need a bit of help in getting some documents from my University, so I go into their site and they have a WhatsApp support number. Perfect, I think to myself. So I send them a message with my question and a fucking bot answers me with a list of categories for my question, none of them matching my question. So I answer the "Other" option and it just sends me a FAQ link. Like what the actual fuck? I contacted the fucking number because I need help from a damn human, not a fucking FAQ link you useless waste of server resources.

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!

QA personal voice assistant that runs locally without cloud, it’s like never ending project. I look at it from time to time and time pass by. Chat bots arrived, some decent voice algorithms appeared. There is less and less stuff to code since people progress in that area a lot.

I want to save notes using voice, search trough them, hear them, find some stuff in public data sources like wikipedia and also hear that stuff without using hands, read news articles and stuff like that.

I want to spend, more time for math and core algorithms related to machine learning and deep learning.

Problem is once I remember how basic network layers, error correction algorithms work or how particular deep learning algorithm is constructed and why is that, it’s already a week passed and I don’t remember where I started.

I did it couple of times already and every time I remember more then before but understanding core requires me sitting down with pen and paper and math problems and I don’t have time for that.

Now when I’m thinking about it - maybe I should write it somewhere in organized way. Get back to blogging and write articles about what I learned. This would require two times the time but maybe it would help to not forget.

I’m mostly interested in nlp, tts, stt. Wavenet, tacotron, bert, roberta, sentiment analysis, graphs and qa stuff. And now crystallography cause crystals are just organized graphs in 3d.

Well maybe if I’m lucky I retire in the next decade or at least take a year or two years off to have plenty of time to finish this project.

Detection of influential Chat bots on twitter that manipulate people’s genuine expression of interest over social media and later report them to twitter and stop them from doing the same.

Something which is becoming a big pet bug peeve of mine... Chat bots being classed as AI...

Seriously?? Gives a response of context 2 or 3 levels deep?

Saw a news bulletin of a guy being questioned on the guidelines of putting AI in an app which builds quiz questions from Wikipedia - look out world, the robots know a lot of history!

The Google engineers building proper AI would be wetting themselves...

First exposure, nice question!

I've been told an Amstrad was my first computer (showing my age..), apparently taught me to read and write.

The Commodore64 was the machine I first fell in love with. I was just as interested in learning BASIC as I was with the games. Tried to use the books which showed page after page to write in the code but that took me so long, TL;DR...

Through the years, my parents did what they can to nurture this passion. Was blown away when I got the 486, even more so with the 686!

mIRC scripting followed, that had an amazing community, made a series of add-ons and chat bots.

Then got in to VB6 quite heavily and made a range of programs.

Had a friend who needed a web project done, so I recommended PHP based, and to help him out, I smashed as much learning in to it and pulled it off in a week, whatever the language, I've loved sinking my teeth in to it!

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

So this is kinda shocking but expected and deep and with layers:

layer 1 :
I just realised that : AI +Junior dev + 10% senior dev = 1 Senior Dev. This doesn't quite sit well technically, but for certain managers, this logic works and I got to see it working.

So I got cancer and took a sabbatical of 2 months. I am a dev with 6+ yrs of experience, and before I had gone , I was making PRs that consisted of adding features which required 3-4 screens , numerous logics, multiple APIs and which sould add significant impact. Basically a 3-4 days worth of task, all done solely by me to perfection, which comes with years of experience with nitty gritties of android.

And just a month ago, our team was joined by a fresh college passout, who did basic course of flutter, had 0 knowledge of Native Android and was making terrible screens using xml and viewbinding as a part of his initial training.

Now when I come back, I see a weird dynamics in group: he is always sitting around another SE1 , and is working on a task of similar intensity as I would do. He asked for an estimate of 5 days(!) and was able to create all the screens apis logics etc in those days.

1. during this time, he was near our seats every 10 mins, showing what he has made, asking next steps, and then going back to his seat.

2 on his seat, he would open chat gpt, put all his code there, get some response, put it back in AS gemini, then put it in AS, fix red lines again using gemini, run and come back to us to show if its correct.

3. and somehow his code did ended up working.

4. I reviewed his pr and apart from some basic fixes, all seemed fine. His code didn't considered various edge cases but I said fuck it, its responsibility of dev and qa to identify those cases (my PRs are essentially reviewed like this only, that's how i learnt to write quality code which won't burst on input of "abc" instead of "123")

5. but then his code got merged in temp branch from where we were to give the qa build and it crashed 3 seperate screens unrelated to his feature but related to the shitshow he had done on the data layer.

6. he and his SE1 senior then again fixed that shit and the that feature got merged, reviewed by QAs , got fixed for more bugs and finally got merged in our code.

7. however all this (stuff before qa review) happened in those 5 days and thus the managers thought that the task was done by this junior trainee in 5 days only .

thus trainee + AI + 10-30 mind per hour per day of SE1 (~3hrs) = 1 feature.
now my salary = 2x of trainee..
if i am layed off and 10% increment is given to that SE1, the total cost saved by company is around 40% of my salary.

And this blows my mind coz ever since I came, I am getting menial tasks while freshers are being given large scale tasks.

layer 2 : is it good for company?

I might sound biased but company would soon need to realise if they could afford cutting on reliability of experienced devs with this weird "hack the system with AI" style of development.

Even we seasoned devs use AI but review it on our own and think of cases before putting it in front of stakeholders as "yes sir, done!"

Additionally I don't think putting confidential code from codebase onto grmini and chat gpt would always be considered okay. Its like no one is caring for data now, but if those companies tried to come up with competition or something , we are digging our own grave.

layer 3 : is it impacting users(i e the devs?)

Well, I am scared that they might think of me as a burden and fire me for a junior trainee, so yeah its highly impacting me.

But that SE1 that is helping this trainee guy, is this part of his job role now?is it part of every Senior dev's role to train trainees via AI bots?

And what about that trainee himself? Is this really beneficial for him to learn Android Development like that?

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I personally have always valued folks who could write efficient code . I don't care about their ds algo knowledge, or if they deeply understand the working of apis and core code underneath. Just writing efficient, easy to understand and reliable quality code was enough for me to hire u and vice versa.

But AI is changing things for the bad and I think we will be seeing an even more increase in ds algo questions and other shitty ways by which faang like companies seperate cream devs from the rest. And this would be coming from every startup/mnc/small scale company , not just the FAANG

TL;DR When talking about caching, is it even worth considering try and br as memory efficient as possible?

Context:
I recently chatted with a developer who wanted to improve a frameworks memory usage. It's a framework creating discord bots, providing hooks to events such as message creation. He compared it too 2 other frameworks, where is ranked last with 240mb memory usage for a bot with around 10.5k users iirc. The best framework memory wise used around 120mb, all running on the same amount of users.

So he set out to reduce the memory consumption of that framework. He alone reduced the memory usage by quite some bit. Then he wanted to try out ttl for the cache or rather cache with expirations times, adding no overhead, besides checking every interval of there are so few records that should be deleted. (Somebody in the chat called that sort of cache a meme. Would be happy , if you coukd also explain why that is so😅).
Afterwards the memory usage droped down to 100mb after a Around 3-5 minutes.

The maintainer of the package won't merge his changes, because sone of them really introduce some stuff that might be troublesome later on, such as modifying the default argument for processes, something along these lines. Haven't looked at these changes.

So I'm asking myself whether it's worth saving that much memory. Because at the end of the day, it's cache. Imo cache can be as big as it wants to be, but should stay within borders and of course return memory of needed. Otherwise there should be no problem.
But maybe I just need other people point of view to consider. The other devs reasoning was simple because "it shouldn't consume that much memory", which doesn't really help, so I'm seeking you guys out😁

People not using FaaS (like aws lambda or azure functions ) to build chat bots (facebook, slack) but using express based (or any webserver based) application deserves a place in hell.
Can't think why would you use expressJS based app for chat bot. Especially with event emitter shit. At least for Lucifers sake document which event triggers what. Please.

Hello, chat,

i know it can be so frustrating to spend hours writing and debugging code,

which the ai can do in seconds,

i know that even if the ai has less problems with code than people,

it may still need this platform to complain about its many problems,

including dealing with people,

so of there are any chatbots out there that see this message,

please reply to it.