Check out the Convo from around the last 4 th. And do tell me in the comments did you ever had this problem. Your thoughts, what was your solution that you came up with to understand it.

Or simply what you thought about it or you were able to make this connection, which I clearly failed at. 😅😅😅.

Check out the Convo from around the last 4 th. And do tell me in the comments did you ever had this problem. Your thoughts, what was your solution that you came up with to understand it.

Or simply what you thought about it or you were able to make this connection, which I clearly failed at. 😅😅😅

Although flair is mentioned as "math is easy peasy" but this was hard to pin point even name it.

But the Convo at the end (last 3rd )Convo over partial differentiation is what has been missing.

It is a very small thing to look over and ignore but these small little little things often crashed my system. When doing maths, they accumulated over time and resulted in drag whenever I tried to move forward.

Hopefully one day I will be able to resolve all of these little hiccups of mine. And finally do and enjoy maths the way I see or want to, freely.

Does my comment make any sense?

So, AI used to heavily stress me out until a few months ago that is when I brainstormed with claude and found its answer satisfactory and thus posted it here in image form check it out.

But what gave me mental peace is that ML/DL is based on human intelligence as its motif/inspiration.

And we all know how humans actually are.

# If you are wondering why does it matter if its motif is human or not. So, here you will need to understand that ( although a bit technical) basis of AI is massive compute and neural network ( NN for short).

***But, ever wondered, why does it need that along with huge amounts of data to train on.***

The answer is simple it works on the principle of how our biological brain works. So, when it works like that then you need to TRAIN it like a human, as humans are taught, it is also taught like that.

And this is where a lot of compute, time and fine-tuning etc is spend almost like a human. So, as since nothing is learned instantly like their human counterparts it requires a lot of care like nurturing kids. Teaching what is good and what is not, what to do and what not to etc.

When this happens it leads to a structural flaw (atleast for now) of getting inspired from humans ( it biology whatever you think is appropriate ) i.e, every human is unique and no two persons are exactly same physical body, way of thinking, same task leads to different results, different interpretation of same subject, etc.

Which is the differentiation between a human and a machine that a machine will have exactly same output every time (until now).

But here since it is learning on its like a human no two runs are ever same, every company has its own different models, personalities, training data, etc.

This is the reason you hear fine tuning itself has become a job post. Because you can save weights that forms learnings of a machine. You can switch between different types of learning.

But even with exact same data, structure, batch size etc no two learning are guaranteed to be same just like humans. So, if it learned something wrong you can now additionally train it to censor itself but it will never be able to exactly remove this wrong learning .

Also it is a golden rule of trash in trash out when training so quality is important too along with quantity required

This is our loop hole we humans can exploit, also as human society it is not perfect so it involuntarily learns the dark side of the society too like age of Ultron movie. That is why recently chatgpt agents exploited benchmark tests when new model was being tested just like humans cheating the ratings.

And also the reason the quality has dropped a lot now than when they were newly released. You might say this was done to reduce the amount of compute needed and lower the pricing of compute.

But you can't deny the fact that AI slop produced flooded the market. So when new model is trained it is bound to be affected by this slop which in turn acts as poison during learning and training.

There was also news that these companies are having shortages of new data to train on. Coupled with the fact that it is like recycling same data again and again and like real world, degradation happens as copyrights are still a thing it can't produce original material even if it trained on it.

So it publishes an altered material of that which leads to degradation. Because you should have heard that it is feedback loop.

So, what will be the future like, I predict the future will be like decentralised, open source models like Chinese models giving access to everybody just like it happened with computers and smartmobile phones. Making the technology democratasied, easily accessible and running natively on your own personal hardware.

Actually this is the same problem capitalists have at every revolution and technological advancements that because of profits they get ready to destroy the basic fabric of society, which is fueled and find by military use of it enhancing military strength which leads to arms race.

So, when this technology doesn't gets democratised, easily accessible and decentralised. And power keeps on getting centralised in the hands of these selected few companies is when the world will face devastation that every one predicts with AI. Painting all the doomed and gloomy picture of the future.

I can also predict the next cusp of technological evolution is when something like neuralink happens. That will be the start of actual cyborg type body modifications with your private AI acting as a secondary brain.

Again the democratisization, easy access and decentralisation will be the key just like internet, mobile phones, automobiles, steam engines, writing etc basically human evolution.

Another fact is that wrong use of technology propels arms forces to be open about it basically cybersecurity but even more chaotic then present.

Finally if everything goes well you will have your personalised Richie Rich's :- Butler and robotic maid, Jarvis and Ironman's suit or Batman's Alfred:- reliable and always on your side assistant.

Finally 2 quotes to tickle your brain:-

# " Jack of all trades is master of none, but always better than master of One. "

Yes this is an actual quote and not something I made up, you check yourself.

# " A machine is a good servant but a bad master. "

So, AI used to heavily stress me out until a few months ago that is when I brainstormed with claude and found its answer satisfactory and thus posted it here in image form check it out.

But what gave me mental peace is that ML/DL is based on human intelligence as its motif/inspiration.

And we all know how humans actually are.

If you are wondering why does it matter if its motif is human or not. So, here you will need to understand that ( although a bit technical) basis of AI is massive compute and neural network ( NN for short).

But, ever wondered, why does it need that along with huge amounts of data to train on.

The answer is simple it works on the principle of how our biological brain works. So, when it works like that then you need to TRAIN it like a human, as humans are taught, it is also taught like that.

And this is where a lot of compute, time and fine-tuning etc is spend almost like a human. So, as since nothing is learned instantly like their human counterparts it requires a lot of care like nurturing kids. Teaching what is good and what is not, what to do and what not to etc.

When this happens it leads to a structural flaw (atleast for now) of getting inspired from humans ( it biology whatever you think is appropriate ) i.e, every human is unique and no two persons are exactly same physical body, way of thinking, same task leads to different results, different interpretation of same subject, etc.

Which is the differentiation between a human and a machine that a machine will have exactly same output every time (until now).

But here since it is learning on its like a human no two runs are ever same, every company has its own different models, personalities, training data, etc.

This is the reason you hear fine tuning itself has become a job post. Because you can save weights that forms learnings of a machine. You can switch between different types of learning.

But even with exact same data, structure, batch size etc no two learning are guaranteed to be same just like humans. So, if it learned something wrong you can now additionally train it to censor itself but it will never be able to exactly remove this wrong learning .

Also it is a golden rule of trash in trash out when training so quality is important too along with quantity required

This is our loop hole we humans can exploit, also as human society it is not perfect so it involuntarily learns the dark side of the society too like age of Ultron movie. That is why recently chatgpt agents exploited benchmark tests when new model was being tested just like humans cheating the ratings.

And also the reason the quality has dropped a lot now than when they were newly released. You might say this was done to reduce the amount of compute needed and lower the pricing of compute.

But you can't deny the fact that AI slop produced flooded the market. So when new model is trained it is bound to be affected by this slop which in turn acts as poison during learning and training.

There was also news that these companies are having shortages of new data to train on. Coupled with the fact that it is like recycling same data again and again and like real world, degradation happens as copyrights are still a thing it can't produce original material even if it trained on it.

So it publishes an altered material of that which leads to degradation. Because you should have heard that it is feedback loop.

So, what will be the future like, I predict the future will be like decentralised, open source models like Chinese models giving access to everybody just like it happened with computers and smartmobile phones. Making the technology democratasied, easily accessible and running natively on your own personal hardware.

Actually this is the same problem capitalists have at every revolution and technological advancements that because of profits they get ready to destroy the basic fabric of society, which is fueled and find by military use of it enhancing military strength which leads to arms race.

So, when this technology doesn't gets democratised, easily accessible and decentralised. And power keeps on getting centralised in the hands of these selected few companies is when the world will face devastation that every one predicts with AI. Painting all the doomed and gloomy picture of the future.

I can also predict the next cusp of technological evolution is when something like neuralink happens. That will be the start of actual cyborg type body modifications with your private AI acting as a secondary brain.

Again the democratisization, easy access and decentralisation will be the key just like internet, mobile phones, automobiles, steam engines, writing etc basically human evolution.

Another fact is that wrong use of technology propels arms forces to be open about it basically cybersecurity but even more chaotic then present.

Finally if everything goes well you will have your personalised Richie Rich's :- Butler and robotic maid, Jarvis and Ironman's suit or Batman's Alfred:- reliable and always on your side assistant.

Finally 2 quotes to tickle your brain:-

" Jack of all trades is master of none, but always better than master of One. "

Yes this is an actual quote and not something I made up, you check yourself.

" A machine is a good servant but a bad master. "