When your classification model outputs 0.5 ❗❗❗

> had an exam with a friend

> we both go to comp sci college

> had to write a fucked up algorithm in matlab

> he hates matlab

> he completes the task

> the variable that outputs the result is called holocaust

> he gets sent to dean

> expelled

I don't know why but I LOLed.
(Open it up to get the full image)

Interviewer: "Please demonstrate a simple program that outputs hello world in C."

*sweating profusely* me:

C C CCCCC C C CC
C C C C C C C
CC CC CCCC C C C C
C C C C C C C
C C CCCCC CCCC CCCC CC

C C C C CCC C CCC
C C C C C C C C C
C C C C C CCC C C C
C c c C C C C C C C C
Cc cC CC C C CCC CCC

In my college days i was designing a bootloader for avr microcontroller , i had the idea to flash code wirelessly to avr over bluetooth and also cross compile the compiler for android device so that you can code on android, every thing went well just one thing didn't, i saw that code of certain size is executing properly , greater than that size gives me wired outputs so i have to dump hex from the avr (that is flashed the by bootloader) and compaire it with the original hex of code it got messy as you can see, most fun part of this bug is that error can be anywhere cross compiler may be fucked up , the bootloader may be fucked up , or it may be my bluetooth module , after 14 hours of staring at the hex code i figured out the mess in bootloader instruction that was changing the page address for flashing .

when it worked it was 3am in night i literally burst into tears of joy next day bought myself a cake to celebrate

I actually love Mr. Robot because at least they are trying to show the actual tools plus the codes that can be used to hack, not some kind of random console outputs that doesn't even make sense in the most of the tv series/ movies

You know your code is broken when it outputs -0....

That struggle man! When you know you did it right, but it outputs completely different thing...

React-Redux's connect() function inspired me to create the coolest way to add numbers in JS:

<script>
function add(num) {
return function(otherNum) {
return num + otherNum
};
};

console.log( add(2)(3) ); // Outputs 5
</script>

I didn't know you could do that. Just found it out!

Ooh this is good.

At my first job, i was hired as a c++ developer. The task seemed easy enough, it was a research and the previous developer died, leaving behind a lot of documentation and some legacy fortran code. Now you might not know, but fortran can be really easily converted to c, and then refactored to c++.

Fine, time to read the docs. The research was on pollen levels, cant really tell more. Mostly advanced maths. I dug through 500+ pages of algebra just to realize, theres no way this would ever work. Okay dont panic, im a data analyst, i can handle this.

Lets take a look at the fortran code, maybe that makes more sense. Turns out it had nothing to do with the task. It looped through some external data i couldnt find anywhere and thats it. Yay.

So i exported everything we had to a csv file, wrote a java program to apply linefit with linear regression and filter out the bad records. After that i spent 2 days in a hot server room, hoping that the old intel xeon wouldnt break down from sending java outputs directly to haskell, but it held on its own.

Me: knows how to program a neural network

Also me: doesn't know how to use it

Again me: bad at math so doesn't know how to use the outputs of a neural network

Teacher told me to write "I must do my homework" 100 times.

I wrote a for-loop that outputs "I must do my homework" 100 times.

"Change your algorithm"

Answers like this are why Stack Overflow almost becomes worthless when asking questions. I asked for some clarification why my code, which reads some files and outputs another, was hitting System.OutOfMemory exceptions. And that was the response I got.

"Change your algorithm"

How? In what manner should I be seeking to change my algorithm? OBVIOUSLY I SHOULD CHANGE MY ALGORITHM YOU WASTE OF OXYGEN. That was a given by the exception my program threw!

I swear to god, SO has got to be one of the most unwelcoming, condescending sites on the internet.

got given the job of removing a menu link on a site my company hadn't built today.

biggest pile of dung ever! the site had folders for 5 different back end languages all full of random files not in use.

I dug around and found it was using a big framework that produces a massive single variable and outputs it as the page.

Eventually I realised this wasn't in use either but was still being loaded in the site! in fact the site even has a database and an admin login but the stupid original dev hard coded all the content in and runs includes to files in the admin folder directly from config!

such a confusing, pointless, shit site! Its like building a car and driving it like Fred from the Flintstones....

In the first lesson on the school the teacher mentioned the fibonaci formula, and because I already had a little experience in programming I wrote a program witch outputs a given amount of numbers after the Fibonacci formula and showed it to the teacher who didn't really showed any reaction. At the end of my time in the school while the exams preparation he told us that last year one part of the exam was to program for the Fibonacci formula. At this point I realized that my little experience in programming was already to much for the class and why I did not learn any thing in 2 years.
Ps: sry for my bad English.

My first post here, be merciful please.

So, I participate in game jams now and then. About two years ago, I was participating in one, and we where near the deadline. Our game was pretty much done, so we where posted a "alpha" version waiting for feedback.

Just half an hour before the deadline, we got a comment on our alpha alerting us of a rather important typo: The instruction screen said "Press X to shoot" while X did nothing and Z was the correct key. "Good thing we caught that in time, thankfully a easy fix" I thought.

This project was written in python, and built using py2exe. If you know py2exe, the least error-prone method outputs a folder containing the .exe, plus ginormous amounts of dll's, pyc files, and various other crap. We would put the entire folder together with graphics and other resources into a .zip and tell the judges to look for the .exe.

Anyway, on this occasion I committed to source control ran the build, it seemed to work on my quick test. I uploaded the zip, right before the deadline and sat back waiting for the results.

I had forgotten one final step.

I had not copied my updated files to the zip, which still contained the old version.

Anyway, I ended up losing a lot of points in "user friendliness" since the judges had trouble figuring out how to shoot. After I figured out why and how it happened, I had a embarrassing story to tell my teammates.

Why do people jump from c to python quickly. And all are about machine learning. Free days back my cousin asked me for books to learn python.
Trust me you have to learn c before python. People struggle going from python to c. But no ml, scripting,

And most importantly software engineering wtf?
Software engineering is how to run projects and it is compulsory to learn python and no mention of got it any other vcs, wtf?

What the hell is that type of college. Trust me I am no way saying python is weak, but for learning purpose the depth of language and concepts like pass by reference, memory leaks, pointers.

And learning algorithms, data structures, is more important than machine learning, trust me if you cannot model the data, get proper training data, testing data then you will get screewed up outputs. And then again every one who hype these kinds of stuff also think that ml with 100% accuracy is greater than 90% and overfit the data, test the model on training data. And mostly the will learn in college will be by hearting few formulas, that's it.

Learn a language (concepts in language) like then you will most languages are easy.

Cool cs programmer are born today😖

People love fast moving green text with a black background.

I have linux on my laptop and I have a script (litturally just 1 line) that outputs random hex data to the command line.

I ran it while WebStorm was starting up and I had people instantly telling me to shutdown all the pcs on the network xDD

my best use of Linux's ability to pipe together commands
git | cowsay | lolcats

I also have a custom bash script written that if the message is longer than 50 lines it writes cuts it off with a '...more' and outputs to a file where I can read the full details if needs be.

Doing an exercise in college. The lecturer provided random number generator code that continuously outputs the number 10. But that's none of my business

Designers!!
What do ya think

A dashboard for a website
The cpu temp progress bar has jquery/AJAX wich outputs the cpu temperature at every each 3 second of the server wich is on a raspberry pi at the moment.

Does it look good for these days?

PS: used php for the backend

ffmpeg...

I FUCKING LOVE YOU!!

I CAN JUST STACK THOSE FILTERS WITH NO RESTRICTIONS OVER AND OVER WITH DIFFERENT INPUTS AND OUTPUTS!!

Also: it fucking works with still images, AND IT’S FUCKING FAST!!

It’s around FOUR (4, DO YOU REALISE THE IMPROVEMENT) times faster to GAUSSIAN blur an image and then composite an image over it with ffmpeg, than to composite the image with imagemagick (no blurring)!!

People now a days dont understand the value of creativity , being a developer means your creativity is also your productivity its your means to keep your job ,pay rent , buy clothes and have something to eat, its just sad to see people demoralize developers for "charging so much" to a project that people think is easy to do. We developers provide outputs and our creativity to the world, i think we deserve more than just a salary, but also a thank you for adding something to the world.

Professors today in colleges don't know...
.
1. the proper denominations of outputs of basic shell commands like "ls -l", "cat", "cal" (pronounces linux as laynux)
.
2. how memory management works
.
3. how process scheduling actually takes place and not in the outdated bookish way.
.
4. how to compile a package from scratch and including digital signatures
.
5. cannot read a man page properly, yet come to take OS labs.
.
6. how to mount a different hardware
.
7. how to check kernel build rules, forget about compiling a custom kernel.
.
.
.
n. ....

Yet we are expecting the engineers who are churned out of colleges to be NEXT GEN ?!
It is not entirely because of syllabus, its also because of professors who had not updated their knowledge since they got a job. Therefore they cannot impart proper basics on students.
If you want things to change, train students directly in the industry with versions of these professors UPDATED.

The Linux sound system scene looks like it was deliberately designed to be useless.

ALSA sees all my inputs and outputs, but it can't be used to learn (or control) anything about software and where their sound goes. Plus it's near impossible to identify inputs and outputs.

PulseAudio does all sorts of things automatically, but it's hard to configure and has high latency.

JACK is very convenient to configure, has great command line tools (like you'd expect from Linux), is scriptable, but it doesn't see things.

Generally, all of these see the others as a single output and a single input, which none of them are.

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?

As I was browsing pornhub, I started reading articles about AI, dick still in hand, and went down the rabbit-hole (no pun intended) of self referential systems and proofs. This is something I do frequently (getting off track, not beating off, though I have been slacking recently).

Now I'm no expert but my neurotic DID personality which prompted this small reading binge DOES think it is an expert. And it got me thinking.

Godel’s second incompleteness theorem says that "no sufficiently strong proof system can prove its own consistency."

Then utilizing proof by contradiction, systems that are "sufficiently strong" should produce truth outputs that are monotonic. E.g. statements such as "this sentence is a lie."

Wouldn't monotonicity then be proof (soft or otherwise) that a proof system is 'sufficiently strong' in the sense that Godel's second theorem meant?

Edit: I WELCOME input, even if this post is utterly ignorant and vapid. I really don't know shit about formal systems or logic. Welcome any insight or feedback that could enlighten me.

I just hate it when a co-worker says "AS LONG AS IT WORKS. It doesn't matter how you code it as long as it outputs what the client/user wants. They don't check how you code it anyway" *facepalm*

We effin' follow standards so that it will be convenient for everybody!

Bad code is still bad code if you don't follow standards even if it works.

Hi , im new to programming and codings and my task is to make a output that outputs even number only ( not odd number) so i wrote this codes but its so complicated for me. Is there a better way to write it?

Thanks dears,,

Why would anybody use dynamically typed languages? I mean it is lot safer to use static languages, no? No weird bugs, no weird outputs...

How they manage to write such big applications in dynamical languages?

Frontend-Developer steps into my office and tells me that my code does not work and that he has checked everything.

>me confused, cause I did it every time so<

So I spent one hour to check and recompile my code again and again. I created more console outputs than my whole last week... And at the end... It was not my fault, I had to find out that the front- and backcolor of his label are the same so the text was not visible.

Dear frontend developer,

I love your designs and most of the time you make a really good job, but please check something like this before you confuse a backend developer for one hour and let him doubt about himself...

Thanks!

Sincerely,
Your backend dev

I have been debugging for like hours trying to figure out the cause an unknown bug spoiling my UI by making my elements overlap.
I'm working on a Unit Converter that takes kWh and then converts to mWh. (Logical Conversion: 1000 kWh = 1 mWh).
Just an easy shit i thought, using Javascript I just passed the dynamically generated kWh value to a function that takes maximum of 6 chars and multiply it by 0.001 to get the required result but this was where my problem started. All values came out as expected until my App hits a particular value (8575) and outputs a very long set of String (8.575000000000001), i couldn't figure the cause of this until i checked my console log and found the culprit value, and then i change the calculation logic from multiply by 0.001 to divide by 1000 and it came out as expected (8.575)

My question is that;
Is my math logically wrong or is this another Javascript Calculation setback?

Operation people (devs, designers, content writers) said clients are being unreasonable.

Clients said the outputs and results are not satisfactory.

Now I understood the phrase I have seen a lot here.

Can't someone just write some sort of Programm that gets project adjectives as input and outputs some nice project names. That would be super awesome. How do you create your project names?

A software had been developed over a decade ago. With critical design problems, it grew slower and buggier over time.
As a simple change in any area could create new bugs in other parts, gradually the developers team decided not to change the software any more, instead for fixing bugs or adding features, every time a new software should be developed which monitors the main software, and tries to change its output from outside! For example, look into the outputs and inputs, and whenever there's this number in the output considering this sequence of inputs, change the output to this instead.
As all the patchwork is done from outside, auxiliary software are very huge. They have to have parts to save and monitor inputs and outputs and algorithms to communicate with the main software and its clients.
As this architecture becomes more and more complex, company negotiates with users to convince them to change their habits a bit. Like instead of receiving an email with latest notifications, download a csv every day from a url which gives them their notifications! Because it is then easier for developers to build.
As the project grows, company hires more and more developers to work on this gigantic project. Suddenly, some day, there comes a young talented developer who realizes if the company develops the software from scratch, it could become 100 times smaller as there will be no patchwork, no monitoring of the outputs and inputs and no reverse engineering to figure out why the system behaves like this to change its behavior and finally, no arrangement with users to download weird csv files as there will be a fresh new code base using latest design patterns and a modern UI.
Managers but, are unaware of technical jargon and have no time to listen to a curious kid! They look into the list of payrolls and say, replacing something we spent millions of man hours to build, is IMPOSSIBLE! Get back to your work or find another job!
Most people decide to remain silence and therefore the madness continues with no resistance. That's why when you buy a ticket from a public transport system you see long delays and various unexpected behavior. That's why when you are waiting to receive an SMS from your bank you might end up requesting a letter by post instead!
Yet there are some rebel developers who stand and fight! They finally get expelled from the famous powerful system down to the streets. They are free to open their startups and develop their dream system. They do. But government (as the only client most of the time), would look into the budget spending and says: How can we replace an annually billion dollar project without a toy built by a bunch of kids? And the madness continues.... Boeings crash, space programs stagnate and banks take forever to process risks and react. This is our world.

Hey guys, my gf and I want to do something with the Arduino we got. We are getting a CS degree, so programming is not a problem, but we have quite basic knowledge of electronics.

What could be a cool simple (but not too introductory) project we could do?

The arduino came with a bunch of sensors (ultrasonic distance sensor, humidity, ...) some input (joystick, RFID reader/writer, buttons) and some outputs (LCD display, 8x8 LED matrix, bunch of color and RGB leds).

Holy shit! I have not programmed a Teensy micro in a while. So I was looking at what they offer and saw they now have a 600Mhz version that is the same size/pinout as their 72MHz version. I am just amazed by how much micros have changed. I love the embedded wifi chips that are out there too. I guess I am going to be playing with the Teensy the next few weeks. I love playing around with embedded audio processing. Lately I have been playing with bluetooth wireless audio. So this will fit nicely. The chip has 2 AD and assorted digital audio inputs/outputs.

I dunno, I was excited and this seems like a nice new years present.

FFS, I wasted my time reinstalling nodejs just to update my npm and tried npm i -g npm.

Outputs a success status but when I check via npm -v it's still the same old version.

Or maybe I'm just too dumb that I don't know how to do it right.

Linux networking: A tragedy in three acts

ACT 1:
Wherein the system administrator writes their /etc/network/interfaces file as is the custom.

ACT 2:
Wherein the kafkaesque outputs of basic networking commands threaten basic sanity. Behold:

```
# ifup ens3:1
RTNETLINK answers: File exists
Failed to bring up ens3:1.
# ifdown ens3:1
ifdown: interface ens3:1 not configured
```

ACT 3:
Wherein all sanity is lost:

(╯°□°）╯︵ ┻━┻)

Fun fact. I work for a 20-year old company that does software which mostly does print outputs. 95% of our clients actually use it specifically and exclusively to print their invoice runs. There are over 25 printers in this office, 5 of which are within chair-rolling distance of my desk.

I don't know how to use or fix any of them. I must be a *really bad* developer. >.<

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').

Does anyone else get annoyed when your outside of a editor and you press the apostrophe/quote or parenthesis key only to outputs a single character and not a pair?

Drives me insane

Taking an online test to practise programming. They give me code that takes two 3x3 matrices as inputs and outputs a third. I have to multiply them together and ouput results.

Within minutes I've worked my head around it, got four lines of code to do it all. Output fails.

Twenty minutes later, nearly failing the time limit I find out that they couldn't output the array proplerly in C++

Are3[I, j];

;( What a hair puller.

This error, which took me a long time to find, demonstrates the importance of useful variable names.

Using the Wolfram Language:

pp = {};
For[i = 0, i <= Max[p], i++, If[Count[p, i] != 0, pp = Join[pp, {{i, Count[pp, i]}}], -1]];
pp

Outputs:

{{1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}, {13, 0}, {14, 0}, {15, 0}, {16, 0}, {17, 0}, {18, 0}, {19, 0}, {20, 0}, {21, 0}, {22, 0}, {23, 0}, {24, 0}, {25, 0}, {26, 0}, {27, 0}, {28, 0}, {29, 0}, {30, 0}, {31, 0}, {32, 0}, {33, 0}, {34, 0}, {35, 0}, {36, 0}, {37, 0}, {38, 0}, {39, 0}, {40, 0}, {41, 0}, {42, 0}, {43, 0}, {44, 0}, {45, 0}, {46, 0}, {47, 0}, {48, 0}, {49, 0}, {50, 0}, {51, 0}, {52, 0}, {53, 0}, {54, 0}, {55, 0}, {56, 0}, {57, 0}, {58, 0}, {59, 0}, {60, 0}, {61, 0}, {62, 0}, {63, 0}, {64, 0}, {65, 0}, {66, 0}, {67, 0}, {68, 0}, {69, 0}, {70, 0}, {71, 0}, {72, 0}, {73, 0}, {74, 0}, {75, 0}, {76, 0}, {77, 0}, {78, 0}, {79, 0}, {80, 0}, {81, 0}, {82, 0}, {83, 0}, {84, 0}, {85, 0}, {86, 0}, {87, 0}, {88, 0}, {89, 0}, {90, 0}, {91, 0}, {92, 0}, {93, 0}, {94, 0}, {95, 0}, {96, 0}, {97, 0}, {98, 0}, {99, 0}, {100, 0}, {101, 0}, {103, 0}, {104, 0}, {105, 0}, {106, 0}, {107, 0}, {108, 0}, {111, 0}, {112, 0}, {116, 0}, {118, 0}, {122, 0}, {125, 0}, {136, 0}, {137, 0}}

As opposed to the expected output, which should have no 0s as the second values in any of the tuples.

I spent a large amount of time examining the code to generate p before realizing that the bug was in this line.

META-LUCK: A Pseudo-Ontology Of An Authentic Future

* * *

I think in the not-to-distant future we will abandon the idea of authenticity (messaging, corporate responsibility, ethos) in favor of other factors, such as cost. We won't abandon it and replace it with fakeness, so much as realize
that we don't, as a society favor it at all, not in the absolute sense, nor in the relative sense like in relation to things like cost.

We will either abandon authenticity entirely, or alternatively, transition to a world where authenticity is the highest valued quality, being adjacent to truth.

Heres why. Authenticity, like all social qualities, can be 1. mimicked, 2. simulated,
or 3. emulated.

In the first case, a corporation, product, leader, organization, or other, apes authenticity simply by its knowable, external features. It mimics the sounds, like a jungle bird copying a jack hammer to scare away predators or attract mates.
There is no understanding, let alone model, external or internal. The successful mimic
is little more than a lifeless, unthinking puppet.

In the second case, the attempted authentic simulates authenticity: That is, an external
model is formed, or pattern, that is predictable, and archetypal. It may have an internal
model even, a set of policies and processes for deciding the external-facing behavior.
But these policies and internal processes and models are all strictly outward facing. It is purely pathological in its goal, desiring only at minimum to achieve *externally attribute* authenticity (public opinion) rather than those internal changes that generate the true perception of the public--a perception not of surface behaviors and shrewd calculating policies and processes, but as a quality of authenticity for its own sake. This is in some sense the difference between the mundane and the atavistic, that the benefit, while not definable strictly, is assumed as a 'matter of course', culturally, within the organization or individual or company. It is to say, a *quality* of the thing, that *generates* outputs of a certain character and nature, rather than a *goal* that is attained 'after-the-fact' by behaviors generated for *other* than being authentic.

Here we reach the limitation of definitions.

Finally, we arrive at the case of number three, the emulation. We have in part already described it, but lets try and summarize a bit.

The Authentic is an *originator* of behavior and outward appearances, being an internal quality of a person or organization. It originates behavior, rather than being the goal of behavior and outward appearances.

Its benefit is assumed, though not always nameable or definable, even though this sounds naive, superseding other factors like cost and profit. As such the authentic does not emerge in a cost-focused environment, not readily, not often, and not cheaply either.

It is in some sense an experimental state of being, of goal-seeking only after-the-fact of "being true to ones origins" is established above and beyond those goals--setting and achieving only those goals which ultimately align with the origin and intent of the authentic.

I like to say programming is the art of "creative logic". Much like architecture has an aesthetic to consider or cooking has well-defined procedures with greatly varying inputs and outputs, there has to be room for creativity, be it at the planning stage or during wild improvisation sessions.

Without that creative aspect, software development sounds dreary to me.

Where science meets art is where the magic happens.

If only the artists shared this view and actually took an interest in the technical side...

I will need a laptop for uni and I thought you guys could give me some tips on good brands/models. I want it to have at least 16GB of RAM, preferably a newer generation of i7 and dedicated NVidia graphics. The bigger the screen is the better. I don't care too much about the battery but I would like to have a few USB type A ports and some HDMI/DP outputs. The maximum price (shipping included) should be around 1000 - 1200€

Data wrangling is messy

I'm doing the vegetation maps for the game today, maybe rivers if it all goes smoothly.
I could probably do it by hand, but theres something like 60-70 ecoregions to chart,
each with their own species, both fauna and flora. And each has an elevation range its
found at in real life, so I want to use the heightmap to dictate that. Who has time for that? It's a lot of manual work.

And the night prior I'm thinking "oh this will be easy."

yeah, no.

(Also why does Devrant have to mangle my line breaks? -_-)

Laid out the requirements, how I could go about it, and the more I look the more involved
it gets.

So what I think I'll do is automate it. I already automated some of the map extraction, so
I don't see why I shouldn't just go the distance.
Also it means, later on, when I have access to better, higher resolution geographic data, updating it will be a smoother process. And even though I'm only interested in flora at the moment, theres no reason I can't reuse the same system to extract fauna information.
Of course in-game design there are some things you'll want to fudge. When the players are exploring outside the rockies in a mountainous area, maybe I still want to spawn the occasional mountain lion as a mid-tier enemy, even though our survivor might be outside the cats natural habitat. This could even be the prelude to a task you have to do, go take care of a dangerous
creature outside its normal hunting range. And who knows why it is there? Wild fire? Hunted by something *more* dangerous? Poaching? Maybe a nuke plant exploded and drove all the wildlife from an adjoining region?
who knows.

Having the extraction mostly automated goes a long way to updating those lists down the road.

But for now, flora.

For deciding plants and other features of the terrain what I can do is:

* rewrite pixeltile to take file names as input,
* along with a series of colors as a key (which are put into a SET to check each pixel against)
* input each region, one at a time, as the key, and the heightmap as the source image
* output only the region in the heightmap that corresponds to the ecoregion in the key.
* write a function to extract the palette from the outputted heightmap. (is this really needed?)
* arrange colors on the bottom or side of the image by hand, along with (in text) the elevation in feet for reference.

For automating this entire process I can go one step further:
* Do this entire process with the key colors I already snagged by hand, outputting region IDs as the file names.
* setup selenium
* selenium opens a link related to each elevation-map of a specific biome, and saves the text links
(so I dont have to hand-open them)
* I'll save the species and text by hand (assuming elevation data isn't listed)
* once I have a list of species and other details, to save them to csv, or json, or another format
* I save the list of species as csv or json or another format.
* then selenium opens this list, opens wikipedia for each, one at a time, and searches the text for elevation
* selenium saves out the species name (or an "unknown") for the species, and elevation, to a text file, along with the biome ID, and maybe the elevation code (from the heightmap) as a number or a color (probably a number, simplifies changing the heightmap later on)

Having done all this, I can start to assign species types, specific world tiles. The outputs for each region act as reference.

The only problem with the existing biome map (you can see it below, its ugly) is that it has a lot of "inbetween" colors. Theres a few things I can do here. I can treat those as a "mixing" between regions, dictating the chance of one biome's plants or the other's spawning. This seems a little complicated and dependent on a scraped together standard rather than actual data. So I'm thinking instead what I'll do is I'll implement biome transitions in code, which makes more sense, and decouples it from relying on the underlaying data. also prevents species and terrain from generating in say, towns on the borders of region, where certain plants or terrain features would be unnatural. Part of what makes an ecoregion unique is that geography has lead to relative isolation and evolutionary development of each region (usually thanks to mountains, rivers, and large impassible expanses like deserts).

Maybe I'll stuff it all into a giant bson file or maybe sqlite. Don't know yet.

As an entry level programmer I may not know what I'm doing, and I may be supposed to be looking for a job, but that won't stop me from procrastinating.

Data wrangling is fun.

Hii devrant I'm new to programmings. I programmed my first program but it wrongly outputs this sentence. What is the error?

So, incase anyone was thinking of trying it, windows 11 is a bit of a mess. Not as bad as 8 tho.

I use multiple audio outputs, switching between them is now a couple of extra menus deep, my wallpaper stopped working, if you've got virtualbox and wsl2 you have to uninstall or disable one of them (currently). The task bar is now fixed on the bottom, not movable. I got annoyed by that and reverted.

I finally got the lstm to a training and validation loss of < 0.05 for predicting the digits of a semiprime's factors.

I used selu activation with lecun normal initialization on a dense decoder, and compiled the model with Adam as the optimizer using mean squared error.

Selu is self-normalizing, meaning it tends to mean 0 and preserves a standard deviation of one, so it eliminates the exploding/vanishing gradient problem. And I can get away with this specifically because selu *only* works on dense layers.

I chose Adam, even though this isn't a spare problem, because Adam excels on noisy problems and non-stationary objectives (definitely this), and because adam typically doesn't require a lot of hyperparameter tuning its ideal here, especially considering because I don't know what the hyperparameters should be to begin with.

I did work out some general guidelines on training quantity vs validation, etc.
The initial set wasn't huge or anything, roughly 110k pairs for training.

It converged pretty quick all things considered, and to the low loss like I mentioned, but even then the system always outputs the same result, regardless of the input, so obviously I'm doing something incorrectly.

The effectiveness of this approach for training and validation makes me question if I haven't got something wildly wrong. Still exploring though and figuring out how to get my answers back out. I'm hoping I just fucked up the output, and not the input as well.

The human engineers are now about 1 or 2 steps away from creating strong AI. We now have decent drawing AI, decent voice actor AI and a confident bullshit AI. All components are already there. Actual human reasoning is in essence confident bullshitter getting cross-checked a few times. Throw a few confident bullshitter AIs together, make them check each other's outputs, and you have basically human reasoning.

It is terrifying because of the coming implications for our society 🤡 At the same time, I am proud of the engineers who worked hard on the technical advancements for the AI and made amazing progress. I know how it feels to work tirelessly on a complicated technical task 💻🌙

TIL python list variable asignment points to the original instance

I know this isn't reddit but today I noticed that in python when you asign a list variable to another variable in python, any change to the new variable affects the original one. To copy one you could asign a slice or use methods returning the list:

l = [1,2,3,4]
l2 = l
l2.append(5)
print(l)
#Outputs [1,2,3,4,5]

l3 = list(l2) # also works with l2[:]
l3.append(6)
print("l2 = ", l2, "\nl3 = ", l3)
#Outputs l2 = [1,2,3,4,5]
# l3 = [1,2,3,4,5,6]

I wonder how the fuck I haven't encountered any bug when using lists while doing this. I guess I'm lucky I haven't used lists that way (which is strange, I know). I guess I still have a long way to go.

Hey everyone :-) - Hope you're all doing well & Staying safe, i just have a question for you all, i have a project i am working on which is a command line tool to track my storage on my PC & laptop, right now it outputs my remaining space, used space and storage capacity :-), it also shows these numbers on bar chart & pie chart - i'm proud of it! :D , its written in Python also - would love to know what other things would you guys add to it? any ideas? id really appreciate it :-) cheers! <3

Can there be a happy rant?

This is going to be a bit of a rambling semi coherent story here:

So this customer who just doesn't know what their data schema is or how they use it (they're a conglomeration of companies so maybe you get how that works out in a database). For every record there's like a ton of reference number type things mapped all over the DB to fit each companies needs needs.

To each company the data means something different, they use the data differently, and despite their claims otherwise, I think there are some logical conflicts in there regarding things like "This widget is owned by company A, division B, user C.". I'm also pretty sure different companies actually don't agree on who owns what... but when I show them they just sort of dance around what they've said in the past...

So I write a report (just an SQL query that outputs ... somewhere ... I mean what isn't that?) that tells them about all the things that happened given X, Y, Z.

Then every damn morning they'd get all up in arms about how some things are 'missing' but sometimes they don't know what or why because they've no clue what the underlying data actually is / their own people don't enter the data in a consistent way. (garbage in garbage out man...)

So I've struggled with this for a few weeks and been really frustrated. Every morning when I'm trying to do something else ... emails about how something isn't working / missing.

In the meantime I'm also frustrated by inquiries about "hey this is just a simple report right?" (to be clear folks asking that aren't being jerks, and they're not wrong ... it really should be simple)

Anyway my boss being the good guy he is offers to take it over, so I can do some things. Also sometimes it helps just to have someone else own something / not just look it over.

So a few days into this.... yup, emails coming in about things 'missing' or 'wrong' every day.

Like it sucks, but it's nice to see it suck for someone else too as validation.

Made a perfectly working algorithm as part of a test in school. Two days later I open the file and it outputs nonsense.

Dumb question time!
I'm writing a bash script that outputs some progress info to stdout (stuff like "Doing this... ok", "Doing that... ok") before outputing a list of names (to stdout too).

I'd like to be able to pipe this list of names to a second script for processing, by doing a simple :
~$ script1 | script2

Unfortunately, as you may have guessed, the progress info is piped as well, and is not displayed on the screen.
Is it considered a bad practice to redirect that progress info to stderr so it is not sent into the pipe ?

Is there any "design pattern" for this kind of usecase, where you want to be able to choose what to display and what to pipe to a program that accepts input from stdin ?

WTF!! Function that returns multiple outputs!! Why not make a datetime object and return the whole fucking object!!

FUCKING FUCK FUCK FUCK

So yesterday following Java class i went to my next class everything went well (or so i thought) and in my next class my phone blows up with notifications (changes in grades notify my phone) i look down and my Java grade goes from an A to a D in seconds and i was just so confused, after he finished grading it goes up to a C but i was still confused. So the next day I go into class and talk to him about my grade and he says, “you never fix your projects so why would i grade any of them, i’ll just give you f’s” to which i responded, “i am confused what i’m doing wrong (it was a few simple projects where i had to make shapes with stars for example a triangle) my outputs are correct” and he responded with “Oh well i can’t help you” so now i have a C and i did everything right but of course because it wasn’t his way it was wrong.

he just makes me so mad, when a student asks for help who decides to respond with i can’t help, he can but he just won’t.

Fuck him.

I’m trying to update a job posting so that it’s not complete BS and deters juniors from applying... but honestly this is so tough... no wonder these posting get so much bs in them...

Maybe devRant community can help be tackle this conundrum.

I am looking for a junior ml engineer. Basically somebody I can offload a bunch of easy menial tasks like “helping data scientists debug their docker containers”, “integrating with 3rd party REST APIs some of our models for governance”, “extend/debug our ci”, “write some preprocessing functions for raw data”. I’m not expecting the person to know any of the tech we are using, but they should at least be competent enough to google what “docker is” or how GitHub actions work. I’ll be reviewing their work anyhow. Also the person should be able to speak to data scientists on topics relating to accuracy metrics and mode inputs/outputs (not so much the deep-end of how the models work).

In my opinion i need either a “mathy person who loves to code” (like me) or a “techy person who’s interested in data science”.

What do you think is a reasonable request for credentials/experience?

A beginner in learning java. I was beating around the bushes on internet from past a decade . As per my understanding upto now. Let us suppose a bottle of water. Here the bottle may be considered as CLASS and water in it be objects(atoms), obejcts may be of same kind and other may differ in some properties. Other way of understanding would be human being is CLASS and MALE Female be objects of Class Human Being. Here again in this Scenario objects may differ in properties such as gender, age, body parts. Zoo might be a class and animals(object), elephants(objects), tigers(objects) and others too, Above human contents too can be added for properties such as in in Zoo class male, female, body parts, age, eating habits, crawlers, four legged, two legged, flying, water animals, mammals, herbivores, Carnivores.. Whatever.. This is upto my understanding. If any corrections always welcome. Will be happy if my answer modified, comment below.

And for basic level.

Learn from input, output devices

Then memory wise cache(quick access), RAM(runtime access temporary memory), Hard disk (permanent memory) all will be in CPU machine. Suppose to express above memory clearly as per my knowledge now am writing this answer with mobile net on. If a suddenly switch off my phone during this time and switch on.Cache runs for instant access of navigation,network etc.RAM-temporary My quora answer will be lost as it was storing in RAM before switch off . But my quora app, my gallery and others will be on permanent internal storage(in PC hard disks generally) won't be affected. This all happens in CPU right. Okay now one question, who manages all these commands, input, outputs. That's Software may be Windows, Mac ios, Android for mobiles. These are all the managers for computer componential setup for different OS's.

Java is high level language, where as computers understand only binary or low level language or binary code such as 0’s and 1’s. It understand only 00101,1110000101,0010,1100(let these be ABCD in binary). For numbers code in 0 and 1’s, small case will be in 0 and 1s and other symbols too. These will be coverted in byte code by JVM java virtual machine. The program we write will be given to JVM it acts as interpreter. But not in C'.

Let us C…

Do comment. Thank you

Have been working all day long on a dataset.. Worked like charm in the end.. Went for dinner, now it's outputs have changed all together and I haven't touch the code, I think Skynet is here.

Our software outputs some xml and a client has another company loading this xml into some data warehouse and doing reporting on it. The other company are saying we are outputting duplicate records in the data.

I look and see something like this:
<foo name="test">
<bar value="2" />
<bar value="3" />
</foo>

They say there are two foo records with the name test..
We ask them to send the xml file they are looking at. They send an xlsx (Excel!) file which looks like this:

name value
test 2
test 3

We try asking them how they get xlsx from the xml but they just come back to our client asking to find what we changed because it was working before. Well we didn't change anything. This foo has two bar inside it which is valid data and valid xml. If you cant read xml just say so and we can output another format!

short: The admin with enough xp is ill, there is no one with xp with varnish is and after 1 restart varnish outputs only 503.
long: there original admin is ill but he gave me an project to migrate an typo3 installation to a new server. Thats ok.
Plan: I move 150 GB of data with rsync to the new server, let specialists do something and switch ips between the new and old and clear varnish with a restart.
Reality: +2 hours to migrate the data, because of false infos from the admin, 7 hours preparing the switch, 5 minutes switch, 3 hours to find out the F*****G varnish is the single point of failure. I and the t3 guys agree to see the next day what went wrong.

ALL HAPPENED TODAY!

Plan for tomorrow: speak with the boss to account the extra hours to that day so i dont get over 10 hours and debug that fucking varnish and delete some servers from another project from the backupsystem and monitoring.

I've been programming for quite a while. I know Java and C#, but I decided to pick up another language, C++, so enrolled in a class at my college. My professor is GOD AWFUL. 4 weeks in and WE DIDNT EVEN TOUCH THE #$@&% KEYBOARD. You'd think that we would at least learn inputs or outputs, right? Instead we've been busting ass learning how to format our homework. What a waste of time.

On that note, if there are any good C++ classes on Udemy, and if you've had a good experience I would love your advice since theres many choices to choose from. I'm gonna learn this one way or another, and it seems the latter looks more useful than that person I'm obligated to call "professor".

This is how my macbook keybboard writes the letter "b" it’s not happening all the time though, sometimes it outputs b and and other times bb, wtf I only pressed it once. And it's happening randomly, fuck this shit, I cant even take it to apple customer service and leave it there for a week or more. I guess I'm living with it and don't bbother fixing it. fuck b errr

If you don't count meals/toilet breaks/shower then my record would be 15 hours straight (08:00-ish to midnight 24hr clock) for a crap-tier black-white Nonogram/Picross generator that outputs near unsolvable grids because I know sh[BLEEP] on the games' generation algorithm. Yey /s. Petition to open /r/shittyprograms in parallel to /r/shittyrobots to celebrate how shitty my piece of a generator is.

So, I have updated tslint and now I have close to a hundred warnings related to order of imports. 😔

I tried several tools for imports sorting, but none outputs it in a way tslint expects it to be. 😒

God damn it, I have to sort it all manually. 😩

Why does it feel like they don't teach anything useful in university every time I interact with an intern. Barebones understanding of how HTT works, but not quite enough to work on a rest API on their own and an absolute lack of inspecting inputs/outputs. Especially nice today when the intern mixes browser requests and app requests to make it seem like he properly configured the test endpoint correctly and leaving me to guess wtf is going on in the logs

Got a weird bug today...

A new feature I just implemented works but outputs nothing.
So I start printing its inputs early in the code, fine no problem here. Then I print out the supposed results a little bit later, fine too. But now the full program work perfectly.
I find out that if I remove one of those two prints then suddenly my function start outputing empty arrays! WTF?

I think I find a quantum bug, you can observe the bug or the internal values but not both!

If anyone has a moment.

curious if i'm fucking something up.

model:

self.linear_relu_stack = nn.Sequential(
nn.Linear(11, 13),
nn.ReLU(),
# nn.Linear(20, 20),
# nn.ReLU(),
nn.Linear(13,13),
nn.ReLU(),
nn.Linear(13,8),
nn.Sigmoid()
)

Inputs:

def __init__(self, targetx, targety, velocityx, velocityy, reloadtime, theta, phi, exitvelocity, maxtrackx, maxtracky,splashradius) -> None:

# map to 1 and 2
self.Target: XY = XY(targetx, targety)
# map to 3 and 4
self.TargetVel: XY = XY(velocityx, velocityy)
# TODO: this may never be necessary as targeting and firing is the primary objective
# map to 5, probably not yet needed may never be.
self.ReloadTime:float = reloadtime
# map to 6 and 7
self.TurretOrientation: Orientation = Orientation(theta, phi)
# map tp 8
self.MuzzleVelocity:float = exitvelocity
# map to 9 and 10, see i don't remember the outcome of this
# but i feel it should work. after countless bits of training data added.
# i can see how this would fuck up if exact values were off or there was a precision error
# maybe firing should be controlled by something else ?
self.MaxTrackSpeed: Orientation = Orientation(maxtrackx, maxtracky)

# these are for sigmoid output, any positive value of x will produce between 0.5 and 1.0 as return value
# from the sigmoid function.
self.OutMin = 0.5
self.OutMax = 1.0

# this is the number of meters radius that damage still occurs when a projectile lands.
# to be used for calculating where a hit will occur.
self.SplashRadius:float = splashradius

Outputs:
def __init__(self, firenow, clockwise,cclockwise,up,down,oor, hspeed, vspeed) -> None:
self.FireNow = float(firenow)
self.RotateClockWise = float(clockwise)
self.RotateCClockWise = float(cclockwise)
self.MoveUp = float(up)
self.Down = float(down)
self.OutOfRange = float(oor)
self.vspeed = float(vspeed)
self.hspeed = float(hspeed)

I tried to make some SP using the syntax and formatting that visual studio outputs when making a SSRS report. I thought it was nice.

It formats the code in a standard way and transforms stuff like "join" to "INNER JOIN" and "left join" to "LEFT OUTER JOIN ".

When the team reviewed the code they were like WTF?! This syntax is horrible, it can't be understood. You did this?

*Me with my red face*...

I just said. You know what? I am going to go back to the old school syntax if you prefer. I just thought it was better.

Yeah... You really should go back to old school syntax.

---

Keep in mind that the old school syntax is annoying to me... No formatting at all and basic instructions are not in larger upper case.

Anyway, I thought it was nice tbh. I still think it is. And it is definitely better to me in some way.

What bothers me most is that they want to improve their coding. They say they want to be more standard and it seems every time you want to make a change it's not a good idea because "everything is already written that way". And when you don't make a change, "you should have change it"... Well sorry I was just copying the old style.

Anyways , it's not that important. I do get their point. Sometimes.

is sometimes the training data and low learning rate just meant to pull the outputs in a direction without ever reaching them ?

like a cost function, economic, which in reality you ideally want to equal 0 for all quantities, but that you'll never ever get to ?

I'm trying to figure out uses for deep learning beyond perceptual.

How do you say no to any opportunity? I mean , as an engineering student, i have learned that anything can be made or any paper can be cleared if we set up our mind towards it( or if there is a deadline/good bucks/both attached to it)

But as a person who has given most of his free time to android dev, i know that i will give better outputs as an android dev than reading some web manuals for 2 days and work as a backend dev.
I am very confused. i have seen people who are very successful yet not passionate about any language , framework or tool. whatever comes in their way and carries a ton of $$$, they shut up, read the docs and make a great product. And then there are people who will only prefer to work in a specific environment and with a limited set of tools and technologies.

Can anyone with industry experience guide me that where should I incline if i am playing for the long run?

So i was trying to learn php from a udemy course. The guy there mixes a hell lot of php with html, like all the pages are .php with html content and mini <?php ... ?> Scripts in between everywhere: titles, swl queries running and displaying outputs as html with echo php variables, etc..

Now am not much versed with client server data model, but isn't there supposed to be clear distinction between the server side and the client side? He puts a form there using echo "html string" , rrcieves the form input in the string's action , runs an sql query and generates another set of html strings. All in one file.

Is it how major php websites work? On the other hand My web dev friend om who works a lot with js usually runs 2 seperate aws instances for frontend and backend and makes them communicate via apis

So... I got a simple task of choosing the best fitting NIDS/MIDS, as well as deploying it, configuring to fit a specific use case and monitor its outputs for one client at work today...

I'm a little... Anxious. At a first glance, setting up like... Snort... Doesn't seem all that difficult, but I have no idea where this takes me and if what I come up with will ultimately be useful or not... Until now I did simple service configuration changes like apache, nginx, php... And a bit of database management with things like mariadb, mysql, postgresql, mongo or elastic... I feel so... Out of my usual waters.

Do you guys thing a person without a title in network security (or... Any title for that matter) can even manage this?...

Could neural nets be used to solve a complex problem with a lot of predefined specific weights and biases related to real activities that could be numerically represented ?

Like if the various layers represented things who’s outcome would be cascading and a direct outcome of factors inputted to them resulting in limited number of outputs ? Like say maybe wind flow at locations resulting in a wind current at an expected time in another location and where a system would have to change to in order to result in the final expected i output ? Maybe a bad example as that could be affected by a lot of things .

But basically the gradual massaging of values that would relate to causal effects where a specific output was designed being intermediaries between the desired input and output ?

Being too careful and always trying to reduce memory and processoe usage might be a bad thing after all. Lengthening development time and inducing more stress on the developer just to reduce resource usage is not very sensible when dealing with small to medium size programs that doesn't deal with big data/file types.

What made me notice this habit in programmers was when I was smashing my head on the keyboard contemplating what method I should use to store the history of outputs for a fucking text based program that has minimal gui elements..
Having ocd as a programmer is a nightmare. But thank god it's not as bad as it was a year ago. I couldn't even read something without repeating the same page over and over again because my stupid brain decided that I was not reading it right. WHAT THE FUCK IS READING IT RIGHT ? Thank god for my psychiatrist and pills. I can atleast work on my projects without wanting to kill myself now ! 😂

A friend who just got into ML recently.

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

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

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

#facepalm

You know what a neat starter game driving ai would be for the comp vision part ?

One that reads the screen on a game where points show up when you kill or damage something and outputs the results to console

A sorts hello world

I'm beginning to feel like any kind of specific approximation via neural networks is a myth. That if you can't reduce output to simple categorical values that can be broadly interpreted between two points, that it doesn't work.

I have some questions and they don't seem to be getting answered about the design of the net. How many layers should I use ? How many neurons per layer ? How does this relate to the number of desired quantitive scalar outputs I'm looking to create, even if they are normalized, they can vary GREATLY and will if I'm approximating the out of several mathematical expressions. Based on this and the expected error ranges of these numbers and how many possible major digits could be produced within the domain of the variable inputs being introduced, how many neurons per layer ? What does having more layers do ? In pytorch there don't seem to be a lot of layer types per say, but there are a crap ton of activation functions, and should I just be using these at the tail end or should they actually be inserted between layers so the input of the next layer passes through another series of actiavtion functions ? what does this do to the range of output ?

do I need to be a mathematician to do this ?

remembered successes removed quantifiable scalars entirely from output, meaning that I could interpret successful results from ranges of decimal points.

but i've had no success with actual multi variable regression as of yet, even when those input variables are only 2 and on limited value ranges eg [0,100] and [0, 2pi]

and then there are training epochs to avoid overfitting, and reasonable expectation of batches till quality results will start to form.

Ok so.. thoughts on MySQL,
SELECT max(column_name) from table_name;
Outputs the max value in the column by kinda traversing the whole column huh... Recursive🤔

While
SELECT concat(column_name) from table_name; outputs simple endl separated srrings. . .. no recursion. PHP backend sucks
😣

If a lie detector outputs true was the input a lie or the truth?

So my TV tuner outputs the videos as 1-20GB TS files... To my secondary 1TB HDD...

But that's my main storage drive too. And well I'm recording every week and maybe transcribing some to keep.

Also seems for Plex, need to transcribe to mp4 beforehand.

So now I'm worried about drive failure, seems most DVR drives last around 2-4yrs... depending on use...

Wondering if I need an external USB "throwaway drive" or another internal, not sure whether there's an empty slot, need to check

Which language should I learn first? I have been trying to learn js and sorta have some basic stuff down like how to store and reference variables and how to display outputs, but aside from that I don’t really know much else. I was wondering if I should continue with js or switch to python or c#, my classmates have been talking about python being the future so idk.

The worst part about writing JS is not having a reliable development environment. I have literally had three different outputs for THE SAME FUCKING CODE! <sarcasm> It's almost like they are not even complete or something </sarcasm> FML

New to the the electronics stuff and I'm building a word clock. Recommendations for a microcontroller that has at least 22 outputs (22 words to light up). Something from Arduino? Also need to plug in for power and use an RTC.

What if we could write the problem statement and the AI would write the code for us, or give the program taking the outputs as input 🙄🙄🙄🙄

Upgrading my tech skills.. Once again I feel my personal my personal dev environment and told are much more up-to-date than what I use at work.... Though the book Kim reading is on TDD and was written 3 years ago.

Maybe I should read another on in cloud services and ML... but don't have any motivation for these topics.

I need TDD for work because now we're emphasizing unit test coverage...

I usually only use manual functional tests to verify the final outputs as either the testing framework is broken (JS) or I don't have time to relearn the frameworks for the particular language...

Anyway got off topic... So questions after:

1. Do you ever feel your technologically always more ahead than what you do at work and essentially you bring skills to the job but you don't learn much out of it?

2. How do you test? I actually got into a bit of a argument/discussion with my colleagues about how to implement unit tests. Apparently there are 2 ways to test? Black box vs WhiteBox. She said she tests only Public methods using mock inputs, dependencies. She read online and seems there is an opinion that should only test public functions and if you can't then your app is designed incorrectly, not separated enough.

For me I test the private functions individually (WhiteBox/Java reflection) because the public one is like generateReport and as a whole is like a Pachinko machine, too many unique paths that would need a test case for.

So thoughts? Yes sorry for turning it into a remake I guess...

Sort "insert file name here" | uniq -c outputs the same file in a bash script but in a command it works. Any ideas?

I've got a basic understanding of c ++ and recently been asked something that's left me stumped. Am I able to take audio data (A sign wave as an example), output some of that data to a buffer that then directly outputs it to an audio device or speaker, without saving the data to an audio file and playing that? Been looking around Google (,Still am) and I'm not finding anything exactly the same that's answering my question or one that gives me an idea on how to do this. Any help or advice would be appreciated, even if it's only pointing me in the right direction

Ok. As a tech reference tool
I'm hooked on chatgpt

You just have to double-check what it in outputs

Fuck you in people for shelving it over and over it's awesome

Ok this is my first try in machine learning, this is DQN for Pong!

I want to add my own flavor by adding pressure touch to paddle movements, such that the harder I press in a direction it moves faster to a max speed.

Does it makes sense if I apply the floating point outputs of sigmoid directly to speed control? Or should I make multiple outputs to represent different "steps" of pressure/speed?

I just compiled a code.
no any compile error at first compile !

I tested all inputs and outputs, everything is correct !

Am I sleeping ?

I thought about logging strange outputs to show my colleagues how hard Im trying.

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.

Wrapping applications is PITA. It would be cool and all, but the app outputs debug(ish) messages into stderr, which just makes me write more spaghetti :'(