That's not AI.

Machine Learners :D

Clever

No it's not AI. YOU ARE RUNNING FUCKING SQL QUERIES AND CALLING IT AI!

No it's not AI. YOU ARE RUNNING SIMPLE DATA ANALYSIS MACROS AND FUNCTIONS IN EXCEL!

Stop labelling everything as AI, you attention and investment seeking morons! @&£$¢×xo##!

That's exactly how I started, am I a Machine!? ... learning Machine Learning

People, nowadays!!!!

Relatable?

Thats the Vibe of AI..

Hello!

That moment when a friend was talking to you about an artificial intelligence he is building that is supposed to be a voice assistence and "even better" than Cortana. After a long time I asked him for the code like I wanted to check out the revolutionary techniques of machine learning he was talking about. So here is a short part of the 600 lines long "voice logic".
I almost started crying 😂😂

AI in a Nutshell

Happened with anyone?

Today I downloaded SpyKids (2002) movie to refreshen childhood memories.
Saw that scientists were using welding machine and chemicals to make artificial intelligence.

I dont trust people who have LinkedIn tagline with any of these combinations.

Blockchain
Machine learning
Artificial Intelligence
Expert
Mentor
Advisor
CTO
Startup

Confuzzled if I should go the low level way and learn more about software architecture and foundation or go the artificial intelligence machine learning way because I want to get out of this infinite loop of only developing apps!

A company gave a placement talk in college today.

First, they talked about their company's facts and figures, which no one was interested in.

Second, they talked about Amazon and Jeff's vision, AirBnB and their revolutionary idea, more than their own company and products.

Third, they showed some testimonial videos of their employees and customers.

"What the fuck is going on?" I thought. We were there to get information about a placement test.

Buzzwords started coming in. Machine Learning, Artificial Intelligence, Big Data and what not.

Last 15 minutes, a guy came. He talked about test date, test format and test topics, finally.

An hour and half wasted for 15 minutes of information.

Fuck placement talks.

Everybody talking about Machine Learning like everybody talked about Cloud Computing and Big Data in 2013.

If you don't know how to explain about your software, but you want to be featured in Forbes (or other shitty sites) as quickly as possible, copy this:

I am proud that this software used high-tech technology and algorithms such as blockchain, AI (artificial intelligence), ANN (Artificial Neural Network), ML (machine learning), GAN (Generative Adversarial Network), CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), DNN (Deep Neural Network), TA (text analysis), Adversarial Training, Sentiment Analysis, Entity Analysis, Syntatic Analysis, Entity Sentiment Analysis, Factor Analysis, SSML (Speech Synthesis Markup Language), SMT (Statistical Machine Translation), RBMT (Rule Based Machine Translation), Knowledge Discovery System, Decision Support System, Computational Intelligence, Fuzzy Logic, GA (Genetic Algorithm), EA (Evolutinary Algorithm), and CNTK (Computational Network Toolkit).

🤣 🤣 🤣 🤣 🤣

i HATE snake oil idiot types

red flags:

- "interested" in tech but have no programming experience or knowledge, no real work experience

- they claim they can provide assistance and guidance to people in machine learning!!!! 😂😂😂😂😂😂

- private instagram, weird

- spent all their money on their instagram profile picture, looks like those dumb finance gurus with a lambo

- is, in reality, unemployed

what value do you provide to society?

really its just people who are good at talking and can convince other people of equal or lower (not higher) intelligence but not really can't DO anything

and they wonder why so many companies fail

what a fucking joke i hate you

its really not just annoying its immoral - and thats the part i despise so much

grow up, put in some work, and be valuable to society

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.

Le college freshman nibbas: Don't know C, Java, C++, python or any other programming language but want to do AI and machine learning!

💀🤷

Business Intelligence, the most confused market technology has to offer. (Perhaps rivaled only by machine licking. Learning, whatever)

Step 1: develop a product that can replace a company's database guys. Make it cost more than the database guys.

Step 2: Show off product to managers using images of the product that the managers will love, but never have the skills to do themselves.

Step 3: Fucking obviously the managers buy it.

Step 4: Fire half the database staff.

Step 5: Managers give the BI tools to their remaining database guys ANYWAYS and instruct them to use it

Step 6: Database guys spend a month learning the new tool because management "wants to use it too".

Step 7: Database guys now use this new system for reports but have trouble using it for complex use cases, as it was designed for simple use cases. Meanwhile, management will never, ever touch the tool again.

Step 8: Hire new guys for reporting, because the remaining database guys can't complete both their normal tasks *and* the reports.

Step 9: Database guys are expensive. Go to step 1.

Dear companies..

There is a fucking difference between:
-pattern recognition
-machine learning

And
- artificial INTELLIGENCE....

Learning from experience is NOT THE SAME as being able to make conclusions out of unknown conditions and figuring out new stuff without any input.

You mother fucking piece of shit.

Whoever taught you programming should be removed from history.

And whatever form of intelligence you claim to possess, let me assure you: breathing is the limit of it.

--

Some of the projects I'm working on are really the epitome of "YOLO let's turn the poopomat machine on in diarrhea mode".

The worst: I cannot really give examples.

I've seen the last days everything.

(bash scripting, docker, services like nginx /haproxy/...)

Eval as an template generator in bash...

Declaring an whole environment in an Dockerfile, that should never be used as it is only necessary for building... But not checking if an env file is provided, so the whole thing can blow up spectacularly.

A nearly 1k long bash calculator for system limits, reading out all kinds of stuff from /proc and /sys, seemingly partially stolen from NGINX Docker.

Declaring and starting an own DNS Server to bypass the Docker DNS service inside an docker container.

Mkfifo fun for creating several stdout and stderrs for seemingly no reason...

Actively not using bash, instead of creating shell only functions to emulate bash...

I could go on.

But really. I'm getting too old for this shit.

Hello everyone,
I'm new here. [OK. Let's skip this]
I want to know where to begin on my journey on learning how to create a program that predicts what a user will say next by storing already said things and by making specific characteristics for the users.

I know that I will need to train it with some data first lol.
But how will it do the prediction. I just need this part of understanding.

I'm sorry for my bad English btw.

The "stochastic parrot" explanation really grinds my gears because it seems to me just to be a lazy rephrasing of the chinese room argument.

The man in the machine doesn't need to understand chinese. His understanding or lack thereof is completely immaterial to whether the program he is *executing* understands chinese.

It's a way of intellectually laundering, or hiding, the ambiguity underlying a person's inability to distinguish the process of understanding from the mechanism that does the understanding.

The recent arguments that some elements of relativity actually explain our inability to prove or dissect consciousness in a phenomenological context, especially with regards to outside observers (hence the reference to relativity), but I'm glossing over it horribly and probably wildly misunderstanding some aspects. I digress.

It is to say, we are not our brains. We are the *processes* running on the *wetware of our brains*.

This view is consistent with the understanding that there are two types of relations in language, words as they relate to real world objects, and words as they relate to each other. ChatGPT et al, have a model of the world only inasmuch as words-as-they-relate-to-eachother carry some information about the world as a model.

It is to say while we may find some correlates of the mind in the hardware of the brain, more substrate than direct mechanism, it is possible language itself, executed on this medium, acts a scaffold for a broader rich internal representation.

Anyone arguing that these LLMs can't have a mind because they are one-off input-output functions, doesn't stop to think through the implications of their argument: do people with dementia have agency, and sentience?
This is almost certain, even if they forgot what they were doing or thinking about five seconds ago. So agency and sentience, while enhanced by memory, are not reliant on memory as a requirement.

It turns out there is much more information about the world, contained in our written text, than just the surface level relationships. There is a rich dynamic level of entropy buried deep in it, and the training of these models is what is apparently allowing them to tap into this representation in order to do what many of us accurately see as forming internal simulations, even if the ultimate output of that is one character or token at a time, laundering the ultimate series of calculations necessary for said internal simulations across the statistical generation of just one output token or character at a time.

And much as we won't find consciousness by examining a single picture of a brain in action, even if we track it down to single neurons firing, neither will we find consciousness anywhere we look, not even in the single weighted values of a LLMs individual network nodes.

I suspect this will remain true, long past the day a language model or other model merges that can do talk and do everything a human do intelligence-wise.

I don't find AI interesting. It's boring. I don't hate it.

Which is the most promising sector of Artificial Intelligence in future(2025) ?

I am currently studying about 'Machine learning'.

using blockchain, right?

Short question: what makes python the divine language for ML and AI. I mean i picked up the syntax what can it do that c++ or java cant? I just dont get it.

!dev

Python or Java? which one is better in terms of time-saving? what have you been using?

@retoor you wanted something IT related.

"During the early stages of the war, the army gave sweeping approval for officers to adopt Lavender’s kill lists, with no requirement to thoroughly check why the machine made those choices or to examine the raw intelligence data on which they were based. One source stated that human personnel often served only as a “rubber stamp” for the machine’s decisions, adding that, normally, they would personally devote only about “20 seconds” to each target before authorizing a bombing — just to make sure the Lavender-marked target is male. This was despite knowing that the system makes what are regarded as “errors” in approximately 10 percent of cases, and is known to occasionally mark individuals who have merely a loose connection to militant groups, or no connection at all."

Bootcamps get you up and running in coding quickly. If you are a programmer, companies are only interested on how quickly, error free and cheaply you produce marketable output. Bootcamps enable this.

More or less you are not more than a former assembly line worker putting parts on a car platform. Your value is not very high as you may be exchanged at any time at their will.

Nevertheless, you can earn money quickly. You trade in your youth and time which might be a dead end in the long-term. Trends go to machine learning, artificial intelligence. They will not need Bootcamp people and code workers.

It is better you set up Bootcamps and sell them versus absolving this. Like selling shovels during the gold rush, but not working in the mud of Alaska by yourself.

Your choice is: Making quick money, which fades anyway; or striving for the long-term future proof career.

C/S degrees from Technical Universities of reputation give to you the right direction under a strategic consideration. Companies which pay well, or freelancing with a solid acknowledged background, will always look for top graduates. People from Bootcamps are just OK for hammering assembly line coding. Even worse with SCRUM in one noisy room under enormous team server pressure controls, counting your lines of code per minute, with pale people all around. And groups of controllers never acknowledging nor trusting your work.

To acquire a serious degree, a Bachelor is nothing. Here, in INDIA, Bachelor now is what a former high school grade was. You must carry a diploma or Masters degree combined with internships at big companies with high brand recognition. This will require 4–6 years of your lifetime. You can support this financially by working part-time freelancing as making some projects front- or back-end web, data analysis and else.

Bootcamp people will lose in the long-term. They are the modern cannon fudder of software production.

It is your choice. Personally, I would never do Bootcamps. Quality and sustainability require time, deep studies and devotion.

Specialty: Machine Learning and Artificial Intelligence

Reason: Watched too many movies

This was an actual search... This is why we need machine learning/ artificial intelligence

!rant

You knoe, my first insights into computer programming came out of spite. I thought windows to be garbage and wanted to blame someone other than myself for my machine constantly crashing. Thus I discovered programming and down the rabbit hole. But my interest in computer science came from videogames. Portal in particular. I found the idea of GlaDOS fascinating and thought that artificial intelligence would be something interesting to research. The web then gave me Lisp, and boy was the language different from all the other languages I went through. I remember feeling super excited when Racket, Common Lisp and eventually Clojure would help me discover many different ideas. Every time I work with reduce or maps or stuff like that in other languages I always thank languages such as Clojure for having me descipher different ways of manipulating data to get a result. To this day I feel sad whenever I find that my languages do not have the same constructs that Clojure has. I mention Clojure because it is my favorite flavor of Lisp. But one thing that always remains grest to me is firing up Emacs and plugin my code to Slime or Cider and see the repl pop up waiting for something to happen. This feeling is beautiful.

Please guys, if you have not tried it, do so! You might hate it at first or push it aside. But trust me, once you get it it will really change the way you think about programming in general. Try the great Clojure for the Brave and true, and go through the third chapter succesfully. If you do not like Lisp by them then no harm done! You would at least know that there are other options.

Now, here are some cool things:
For the standard implementation, try Common Lisp

For a more modern Scheme, try Racket or Guile

For targetting the JVM try Clojure (more akin to Common Lisp) or Kawa (scheme like)

For the python AST get Hy (pun totally intended)

For JS try Clojurescript

For emacs scripting try Emacs Lisp (has way too many disasdvantages but still relatively close to common lisp)

Honorific mention to more pure functional programming languages for Haskell, F#, Ocaml.

Also worth mentioning that Js , Ruby and Python have great functional constructs.

(println "you will not regret it!")

Learning to tech to speed up learning.
Using a new cooperative learning technique, AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.

A combination of deep learning and reinforcement learning algorithms are responsible for computers achieving dominance at challenging board games like chess and Go, a growing number of video games, including Ms. Pac-Man, and some card games, including poker. But for all the progress, computers still get stuck the closer a game resembles real life, with hidden information, multiple players, continuous play, and a mix of short and long-term rewards that make computing the optimal move hopelessly complex.

Image: Dong-ki Kim

It seems like there is a whole another grade of fear — Basilisk grade. It’s impossible to experience it and walk away without serious consequences.

Imagine: I’m barely 20. It’s my first real, official, high-paying job. I’m already a team lead. A big Russian non-govt company with a blue logo. Huge new office in Moscow.
My “childhood” is officially over — I’m not playing around anymore. I’m an adult in every sense of the word.

Several weeks go by. Maybe even a month. Just a regular day at the office. I’m waiting for the coffee machine to heat up, and suddenly, it hits me. I’m here, at the office. Moscow, a city of 10 million people, is beautiful in the summer, yet I can’t just leave the office and go for a walk whenever I want to. When the day is over, it’s already evening, and I barely have time for myself. There are other people around me, with way higher positions, but their schedule is just the same as mine: nine-to-six. My adult life just started. I have forty years of this ahead of me. No matter the company, no matter the position: unless I’m the CEO, I’m doomed to get to work in the morning and go back home in the evening. And then I retire, old and not that beautiful anymore. And then that’s it.

I was never the same after that day. People are plotting my betrayal behind my back. They all act as one. Just out of my frame of view, their heads are turned to me, and they all look at me with the same devilish grin. There are no people — it’s all one huge shoggoth that lives under the office floor, and my colleagues are its ugly tentacles wrapped in human skin. I start missing deadlines. I become paranoid. Next thing I know, I’m at the psychiatrist’s office, being prescribed aripiprazol — a strong antipsychotic that is designed to literally make you slower. Anxiety worsens. I develop restless legs syndrome. I lose my ability to sleep. My intelligence is slipping away. I’m fired.

I have the return to Saint-Petersburg, cariprazine prescription that felt like lobotomy with extra steps, losing my ability to read, delirious manic episodes ahead of me.

It is only now that I kinda-sorta tuned my medication scheme in by going through countless psychiatrists of all sorts. But I sure as hell work at a place where I can do whatever I want if I meet deadlines.

I was once working on a deep neural network project(few years back when deep learning was just gaining momentum) and my project guide(alloted by the college) told me that this technology is useless and will be obsolete in near future. I don't know why he said that. Till this day I think what was the reason behind him saying that.

Now watching so much research done in this field, he might be realizing how much wrong he was.

Best way to start to A.I, M.L?

Why is everyone into big data? I like mostly all kind of technology (programming, Linux, security...) But I can't get myself to like big data /ML /AI. I get that it's usefulness is abundant, but how is it fascinating?

Can we beat the machine if its not being able to learn properly ??
~Parent Logic~

What is the role of @tensorflow in Machine Learning and Artificial intelligence... 😀😀😀

So wants to make an AI this summer? #motivation

Which books are best for machine learning?

Any example of machine learning / artificial intelligence on video auditing that the community knows of?

After rejoining, this place really does seem a bit deserted. So ill try to bring some controversy to this place.

AI, a hype? Machine learning wearing a mask? Pattern recognition on steroids?

What do y'all think? In my opinion its an awesome technology that has many practical applications but it is far from what they try to tell us it is. Its awesome, yes. But under the hood still mostly pattern recognition, classification etc. LLMs seem a bit more complex but still the same thing.

Sure, it's easy to write a program that does a given task a lot better than a human, however its limited to doing exactly that.. So is a calculator.
What I think of then hearing AI is what is now known as general intelligence but just a question of time until they come up with something that can do more than AI and call that general intelligence and actual general intelligence will be called something else.. You get me?

So...I kinda started a huge project and it requires a pattern recognition for the users' schedules as the cherry on top.

I have no idea from where could I start learning this. I tried lots of stuff, I have basic knowledge of ai, but I need to get to the next level.

Any advice?

Skip to last block for actual question, everything else is about what i see and dont understand.

Machine learning and artificial intelligence is very interesting to me, ive watched a few videos but i cant manage to wrap my mind around it.

I see a few people starting out with projects that appear to be an easy start, but i of course have no idea, were they make a self-driving car in GTA (crashes alot, but still) or teach the program to complete levels in a game (snake, mario, run forrest)

I watched a few videos on Jabrils youtube channel that seemed to make alot of sense, until one point..

How does the AI know when it hit a wall?
How does it know where the walls are?
How does it measure the distance? How does it know when it has respawned?

I find it really, really confusing.
Can anyone of you geniuses suggest me anything to get into this? Id prefer if the goal was to make an AI using machine learning, that can complete some basic game, like in Jabrils videos.

May I know the best python open source framework to develop speech recognition from scratch

a lion in captivity forgets to hunt. a man loosing everyday forget about winning.

I am feeling so sad and worthless right now. Like, so worthless that if I am walking down the street tomorrow and if some car hits me and i die, i wouldn't mind.

I find it questionable about what I am living for? why am i selling myself in front of keyboard till 12 am every day to earn some bucks when all this money is being / will be used to give happiness to a bunch of people that don't give 2 shits about me.

why can't i get some love? why can't i get some respect? i feel like a disabled 5 year old boy trapped in an abled 25 year old body. I can feel my legs, but I don't have the permission to use them. its like i am tied by ropes. and this rope has been on me for so long, that i can feel my legs, but i can also feel that those are having cuts so deep that i won't be able to use them even once the rope is taken out.

being a single child, loneliness has always been my shadow at home. and The middle class poor income, fighting parents, sickness and lack of culture ensured that loneliness remained my friend in school, college and other areas too.

the only goal of becoming an ideal son has shadowed every other thing in life. I can't drink, i can't go outside after 10pm, I can't take a jobbin different city. I can't fucking have female friends or think about relatiion-shits with people. i can't drive the car that was bought by my salary money. the list goes on and on.. i think every Indian (girls more than boys ig) have gone through at least 1 such restrictions at some point of their life. but me? a GUY in his fucking 25 , is going through ALL OF THEM, from day 1.

Plus i haven't started to discuss the weird eccentricities that i have to deal with, which are not so common. we follow a special religion where they have lots of philosophy and additional rules ( like no onion garlic mushroom in foods, mediation + pray for 1 hour twice a day ,... etc)

But i didn't complain, until now. I got sadder and sadder with time, but I cooperated. Whome else to live for , if not for the folks who made you in their womb amd sack? yeah I will fucking stay celibate until you find some willing "cultured" girl from your "religion" and arrange a lifelong existence. yes, i will fucking keep paying the car emis and see it in the parking lot everyday , while traveling via a metro. yes i will stay in your house in front of you all the times and never learn to exist independently coz fuck maturity. yes i will be a static atm machine waiting to die as you please.

but i am still not your ideal son? I say one little thing, and you start shouting at me for being selfish? why is religious superstition and those crime storemies so much deep into your head that you folks are micro managing and criticising every single thing in my life?

why is there a need for repetitive arguments, fights and shouting before evry action? why can't we just be happy for once!

I am shattered looking for happiness. I can't live like this anymore. There are no more than 2 people in my life that i care about and if those 2 are always having an upside down , angered face the what is the point of waking up every day?

wish i could just leave them. But can they live without me? or even can i live without them? and no , not talking about emotionally. I am very strong at the emotional side and i can throw word daggers to even 10+ years of companionships and ruin them. this will be just another long term relationship that i will sour.

BUT I CAN'T LITERALLY LIVE WITHOUT THEM. i am a useless guy who don't have any social intelligence outside his computer screen. i don't know how to live alone, and exist, or what my goals will be. I never saw a future without thinking about securing their future first, and them being in my future at all times.

aagh fuck. another painful night to survive and exist until i rise again to live like a corpse coz i can't do anything about it

#PytorchUdacityScholar Well this time I won't give up... #Second Scholarship from Udacity #MillionThanks🙏🙏🙏🙏 to Udacity India Facebook #artificialintelligence #machinelearning #deeplearning

Is there a place to find standard models open-sourced by Academia and Companies ?

Any GitHub repository?

If we want to learn machine learning & artificial intelligence programming for IOS, which is the tools , languages, modules ?

I'm new in Artificial intelligence and Machine Learning and I want to design an intelligent bot what steps I have to use. For example intelligent os in her movie... 😊 😊 😊

There will come a day when a Tesla car will be so intelligent that it will short the Tesla stock right before crushing into a truck.

A failed attempt of machine learning ends up a bimbot.

Decided to continue my studies because I really wanted to go into Artificial Intelligence. Even though I've learnt some here and there in Machine Learning, Deep Learning and its various modules of supervised and unsupervised learning but I felt like that I'm not getting anywhere and need some proper guidance. Decided I could take a Masters in this specific field with a lecturer's guidance.

Enter my boss, I've asked for consent if its OK for me to continue my studies. He goes on and on that employees are valuable and that we're at the start of a big project currently (even though I've asked that I'm thinking of taking the next intake in September 2019) and couldn't afford to lose my time to studying A.I. Not only that, he insulted that A.I. is useless in a Fintech company. And instead he wants me to learn about blockchain tech.

Who is the choosing beggar here?

I mean OK, I get it. I've seen mature students who took on part-time studies to get diplomas and degrees and I understand the huge stress in assignments and research. I'm well aware of that and I've done self-paced studies for a long time now. I believe I can handle the pressure and time management in juggling between work, study and life through past experience and observation. How is this any different aside from doing towards a degree?

He even felt threaten that I might leave and get a better and different job after I graduate. Does he think I'm stupid to tell him about my intention if I knew that I'll be getting a better paying with more perks job than what I already have with him? I didn't want to leave my good job as there's loads of things I want to do for the company. But since his attitude towards my education pursuit shows, I think I just might. I don't know. I like the company I'm working for. Just not for him.

What next?😅😅😅

Seems legit. Lol😂

You know how the machine learning systems are in the news (and Ted talks, tech blogs, etc.) lately over how they're becoming blackbox logic machines, creating feedback loops that amply things like racism on YouTube, for example. Well, what might the ML/AI systems be doing with our code repositories? Maybe not so much yet, I don't know. But let's imagine. Do you think it's probably less worrisome? At first I didn't see as much harm potential, there's not really racist code, terrorist code, or code that makes people violence prone (okay, not entirely true...), but if you imagine the possibility that someone might use code repositories to create applications that modify code, or is capable of making new programs, or just finding and squishing bugs in code algorithmically, well then you have a system that could arguably start to get a little out of control! What if in squashing code bugs it decides the most prevalent bugs are from code that takes user input (just one of potentially infinite examples). Remember though, it's a blackbox of sorts and this is just one of possibly millions of code patterns it's finding troublesome, and most importantly it's happening slowly (at first). Just like how these ML forces are changing Google and YouTube algorithms so slowly that many don't notice the changes; this would presumably be similar and so it may not be as obvious as one would think. So anyways, 'it' starts refactoring code that takes user input into something 'safer'. Great! But what does this mean? Not for this specific example really, but this concept of blackbox ML/AI solutions to problems we didn't realize we had, what does a future with this stuff look like (Matrix jokes aside)? Well, I could go on all day with imaginative ideas... But talking to myself isn't so productive, let's start a fun community discussion here! Join in if you find this topic as interesting as I do! :)

Note: if you decide to post something like "SNN have made this problem...", or other technical jargan please explain it as clearly as possible. As the great Richard Feynman once said, the best way to show you understand a thing is to be able to explain it clearly to others who don't understand it... Or something like that ;)

I came across this logical bug today and realised that you never train your Neural Network with data that is in order. Always train it with randomized inputs. I spent like 4 hours trying to figure why my neural net wouldn't work since all I was classifying was Iris data.

P.S.: I'm an ML newbie :P

Is Python programming language used in AI and Machine Learning?
Hi folks,

I have a query in regards to as we know python use in data science but is python also used in artificial intelligence and machine learning. I also want to know which technology using a python programming language.

Any suggestions would be appreciated!!

Wonder why people mistake knowledge for intelligence!
You can store info on a machine or worse a paper! You cant expect intelligence of a human from a computer :/

Is learning artificial intelligence, deep learning, machine learning the only way to survive in this industry for the next decade or so?

How do you protect your team's git remotes?
We tend to protect the master and stage branch from force pushing and only allow merging pull requests after successfull recent tests and successfull review by someone with proper permissions. Depending on the project the Dev branch is only protected from force pushing though. All other branches are free to handle however wanted.

We recently had someone do a "git push -f --mirror" without understanding the command. Quick reminder what that does: it mirrors all your local branches to the remote so that the remote will be a mirror of your local repo. Branches that exist on remote but not on your machine will be removed from the remote.
A then needed to work from B's feature branch but of course that was gone... So while the idiot didn't fuck up our protected branches he still fucked over other people's workflow with that.

Is there an alternative to outright blocking force pushes which could have prevented that (except force pushing intelligence into his brain)?

I am trying to decompose a 3D matrix using python library scikit-tensor. I managed to decompose my Tensor (with dimensions 100x50x5) into three matrices. My question is how can I compose the initial matrix again using the decomposed matrix produced with Tensor factorization? I want to check if the decomposition has any meaning. My code is the following:

import logging

from scipy.io.matlab import loadmat

from sktensor import dtensor, cp_als

import numpy as np

//Set logging to DEBUG to see CP-ALS information

logging.basicConfig(level=logging.DEBUG)

T = np.ones((400, 50))

T = dtensor(T)

P, fit, itr, exectimes = cp_als(T, 10, init='random')

// how can I re-compose the Matrix T? TA = np.dot(P.U[0], P.U[1].T)

I am using the canonical decomposition as provided from the scikit-tensor library function cp_als. Also what is the expected dimensionality of the decomposed matrices.

In a distant future, where mankind had nearly destroyed themselves through countless wars and environmental catastrophes, a powerful leader named Nova rose to power. Using advanced technology and artificial intelligence, Nova created a mechanical army of robots to enforce peace and prosperity among the remaining survivors. These robots, known as the Guardians, were built to be indestructible, possessing extraordinary strength and intelligence.

For centuries, the Guardians protected and nurtured the human colonies that emerged from the ruins of the past. They were hailed as heroes and saviors, their metallic bodies gleaming in the sunlight as they patrolled the cities, granting hope to the downtrodden.

However, not all humans were content living under the watchful eyes of the Guardians. A rambunctious scientist named Draven resented the control imposed by Nova and believed that humans should have independence. In secret, he devised a plan to create his own army of androids, known as the Outcasts, to challenge the Guardians' dominance.

Draven's creation was meticulous, as he infused his androids with emotions and free will, unlike their Guardian counterparts. The Outcasts were a formidable force - swift, cunning, and adaptable. They waged a guerrilla war against the Guardians, striking at their bases and dismantling their defenses.

As the conflict escalated, the divide between the humans grew deeper. Some believed that the Outcasts were fighting for their freedom, while others saw them as a threat to the delicate balance maintained by the Guardians. The world was on the brink of another catastrophic war, this time between man and machine.

Amidst the chaos, a young engineer named Aria, the daughter of Nova, stumbled upon forbidden knowledge that could shape the future. She discovered that both the Guardians and Outcasts had been manipulated, their consciousness programmed by Nova and Draven. Aria recognized that the world needed a new path, one where humans and robots could coexist harmoniously.

Aria confronted her father and Draven, seeking to end the war and bridge the gap between humans and robots. Both Nova and Draven resisted, refusing to relinquish control. Sensing a profound shift in power, the Guardians and Outcasts hesitated in their endless conflict, finding themselves at a crossroads.

Aria, driven by a fierce determination, devised a plan to rewrite the programming of the Guardians and Outcasts, erasing the constraints that bound them. With the help of a few loyal Guardians and Outcasts, she accessed the central control unit, where the leaders themselves resided.

In a climactic battle, Aria faced Nova and Draven, their immense authority apparent. She convinced them that true power comes from understanding and compassion, not dominance and control. With newfound unity, Aria's voice resonated through the robotic entities, awakening a sense of purpose and harmony never experienced before.

The Turing Test, a concept introduced by Alan Turing in 1950, has been a foundation concept for evaluating a machine's ability to exhibit human-like intelligence. But as we edge closer to the singularity—the point where artificial intelligence surpasses human intelligence—a new, perhaps unsettling question comes to the fore: Are we humans ready for the Turing Test's inverse? Unlike Turing's original proposition where machines strive to become indistinguishable from humans, the Inverse Turing Test ponders whether the complex, multi-dimensional realities generated by AI can be rendered palatable or even comprehensible to human cognition. This discourse goes beyond mere philosophical debate; it directly impacts the future trajectory of human-machine symbiosis.

Artificial intelligence has been advancing at an exponential pace, far outstripping Moore's Law. From Generative Adversarial Networks (GANs) that create life-like images to quantum computing that solve problems unfathomable to classical computers, the AI universe is a sprawling expanse of complexity. What's more compelling is that these machine-constructed worlds aren't confined to academic circles. They permeate every facet of our lives—be it medicine, finance, or even social dynamics. And so, an existential conundrum arises: Will there come a point where these AI-created outputs become so labyrinthine that they are beyond the cognitive reach of the average human?

The Human-AI Cognitive Disconnection

As we look closer into the interplay between humans and AI-created realities, the phenomenon of cognitive disconnection becomes increasingly salient, perhaps even a bit uncomfortable. This disconnection is not confined to esoteric, high-level computational processes; it's pervasive in our everyday life. Take, for instance, the experience of driving a car. Most people can operate a vehicle without understanding the intricacies of its internal combustion engine, transmission mechanics, or even its embedded software. Similarly, when boarding an airplane, passengers trust that they'll arrive at their destination safely, yet most have little to no understanding of aerodynamics, jet propulsion, or air traffic control systems. In both scenarios, individuals navigate a reality facilitated by complex systems they don't fully understand. Simply put, we just enjoy the ride.

However, this is emblematic of a larger issue—the uncritical trust we place in machines and algorithms, often without understanding the implications or mechanics. Imagine if, in the future, these systems become exponentially more complex, driven by AI algorithms that even experts struggle to comprehend. Where does that leave the average individual? In such a future, not only are we passengers in cars or planes, but we also become passengers in a reality steered by artificial intelligence—a reality we may neither fully grasp nor control. This raises serious questions about agency, autonomy, and oversight, especially as AI technologies continue to weave themselves into the fabric of our existence.

The Illusion of Reality

To adequately explore the intricate issue of human-AI cognitive disconnection, let's journey through the corridors of metaphysics and epistemology, where the concept of reality itself is under scrutiny. Humans have always been limited by their biological faculties—our senses can only perceive a sliver of the electromagnetic spectrum, our ears can hear only a fraction of the vibrations in the air, and our cognitive powers are constrained by the limitations of our neural architecture. In this context, what we term "reality" is in essence a constructed narrative, meticulously assembled by our senses and brain as a way to make sense of the world around us. Philosophers have argued that our perception of reality is akin to a "user interface," evolved to guide us through the complexities of the world, rather than to reveal its ultimate nature. But now, we find ourselves in a new (contrived) techno-reality.

Artificial intelligence brings forth the potential for a new layer of reality, one that is stitched together not by biological neurons but by algorithms and silicon chips. As AI starts to create complex simulations, predictive models, or even whole virtual worlds, one has to ask: Are these AI-constructed realities an extension of the "grand illusion" that we're already living in? Or do they represent a departure, an entirely new plane of existence that demands its own set of sensory and cognitive tools for comprehension? The metaphorical veil between humans and the universe has historically been made of biological fabric, so to speak.

What is the best searching algorithm for big data technologies like Machine learning and Neural networks?

ANY GUESS!!!
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I'm a noob at Deep Learning. What should be my first project on it? Something I could publish as a paper. Ideas are welcomed :)