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

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

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

Here comes the biggest one,

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

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

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

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

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

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

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

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

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

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

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

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

AI art is art like being a DJ is art. Mostly you're just showcasing other peoples' stuff. But every now and then, someone transcends the medium and becomes an artist themselves.

Wen want to get away from boring, monotonous and meaningless jobs so we can focus more on music and art. Thats why we created AI to automate music and art so you have more time to feel like shit.

Artists complaining about the use of AI pictures is totally fine apparently, and politically correct.
Imagine if programmers complained about low-code/no-code tools. 💀

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').

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

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

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

gen z/curren5 gen :

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

next gen :

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

just some thoughts around porn lol

TIL indians live on the "satisfaction" plane hence saying yes to things they can't do to satisfy you, but also dissatisfy people as a form of attritional warfare, which is their specialty.
I was watching the trump v Kamala debate and was reminded of a bunch of tactics I've had used against me by an Indian lead dev, who I ignored the behaviour of and didn't think she was actually hostile to me until it was too late. but it made me feel so bad for him and I got an epiphany. it seems like the tactics are the same, so I got curious if there was an Indian art of war

Interestingly the AI said yes but directed me to the wrong book. I did find the right book eventually. it exists. the Chinese stole ideas from it to write their sun tzu art of war, but it's basically a Machiavellian manual before Machiavelli was alive. very cool

also turns out China is behind everything. I remember ages ago I got in a fight with a schizoid programmer friend of mine because he knew China was taking over everything and he wanted them to win, and I was rooting for team India because they were far less miserable than the Chinese. don't make a deal with the Chinese. guy was stupid. they treat people like irrelevant meat

China seems to be connected to everything that's going on right now.
- they're infiltrating Canadian politics, get international students to change Canadian election outcomes (200k/30m people who weren't citizens but got bussed to voting centers and just used proof of address to vote. they changed outcomes of 4 elected officials in one province, and local Chinese people are saying they get threats about their family back in China if they don't do what China tells them to -- but our elected government just keeps quiet on it and then goes to China for new orders during "climate conferences" and uselessly gives them a bunch of our fucking money)
- there was issues with the Chinese buying up real estate in Canada and just leaving them empty. it's probably still happening even though Canada eventually imposed a tax on leaving empty real estate around that you're not renting out. they're still buying up properties, and we have an increasing housing shortage as a result. one of my old apartments a white guy, who was suspicious and shifty, bought the unit and forced us to move out citing code violations (you can't kick someone out otherwise here because of very strong renter's protections). they never introduced who bought the place, but they did have 7 ALL CHINESE SPEAKING IN CHINESE people come in and measure everything at the apartment. so they're definitely still buying up real estate
- are behind the green agenda (our politicians seem to take orders from them under this guise)
- seem to strangely have had camps where they let migrants pass through the South Americas to get into united states, were very closed off and hostile to anyone snooping so it was up in the air what they were doing there. after people came to snoop the camps up and disappeared
- are who USA is competing with in the AI race, the whole AI narrative is literally a fight between the west and China

and there's a super smart systems guy who thinks they were behind the world economic forum and I'm increasingly starting to believe it

all electronics coming from China should be a concern. it isn't

there's tons of Chinese trying to enter open source software to install backdoors. they're nearly successful or successful often. same with that DDoS on DNS years ago

there's rumours they've been running Canada since the 80s, via infiltrating Canadian tech companies to steal their software and are the gatekeepers for a lot of underground stuff

I'm starting to believe even the COVID virus was on purpose. I didn't before. there was a number of labs that had that virus, a lab leak happened around Ukraine 6 months prior to the "Olympics outbreak" (seriously that was PERFECT timing for a lab leak if you wanted to do a bioweapon on purpose -- you would hit every country at once!), but there was also a lab in Canada that had it and some reporters were upset about it because the lab didn't seem to care about our national security and was letting suspicious Chinese nationals work at it, and for some reason there's been discovered a BUNCH of illegal makeshift Chinese labs in California with super vile stuff in them

and what the fuck was that Chinese spy balloon fiasco anyway. you can't shoot it down? I think that was a test to see how fast and readily the west would defend itself. or maybe they wanted to see the response procedures

and then on top of it many people think the opioid epidemic is all china. china makes the drugs. it would also fit perfectly, because in the 1800s or whatever the British empire had entirely decimated china for decades by getting them addicted to the opioid trade. eventually the British empire merged with USA and now USA is basically the head of the new British empire

I think we're at war with China and literally don't fucking know it

Warehouse devs are trying to make our own homegrown warehouse robot AI to easy up the route optimization math, without paying up big $$$ for some big tech's crap.
Those robots look like wild "dire roombas", BTW. Each is large and round like bike tire on its side.
And the state of the art on the driving AI for those robots is... actually pretty good. It can avoid moving obstacles like humans or forklifts on their route or even drive around liquid puddles (our warehouses aren't exactly pristine).
So then came the time for the warehouse devs to benchmark their AI.
They compared it to a ready-to-use solution and fared quite well. Until someone suit decided they should ask chatgpt (or some other text AI crap) to try its "hand".
I've spent the best part of the day laughing my ass off, the devs had to go on a hunt to search for the *runaway robots driven by chatgpt*. One of them found its way to a freaking porta-potty like 50m outside the warehouse. Others were trying to lift forklifts to take those out of the way. Ooh, the irony.
A few were gladiators disputing the same pallet to lift. They were literally trying to sabotage each other to steal the pallet.
But most were just driving around randomly like giant roaches.
Man, sometimes generative AI can really make us laugh.

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

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

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

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

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

What’s the best AI art generator?

Can't seem to understand Graphic Designers and or people who constantly cry about generative AI being "not art".

Why are they so angry?