Folks. I know exactly what to do.
I have the perfect solution, and it is actually embedded in our purpose.
We are not users. We are makers.
We are master builders.
So why on earth would we use a pre-made model such as ChatGPT.
when we are perfectly capable of designing a much better
and a much more powerful model on our own?
Now, my solution is not very simple
to implement, but not only does it solve this job loss problem
we've discussed in a previous blog, but it also makes us indispensable.
As in, no one will ever be able to replace us with anything.
Now imagine a future where each of us makes our very own costume custom,
a model one that is tailored to our needs, not to the needs of some company
that is trying to satisfy millions of users
who have millions of different problems, where in most cases
those problems are absolutely irrelevant to us.
So yeah, it sounds very fancy and it sounds very impressive,
but there is a fundamental flaw.
Those type of models know a little bit about everything.
While our creation will be so much more powerful
because it will know everything about a little bit.
So we will decide on the type of data our model will be exposed to.
We will decide on the type of tasks it will be capable of performing.
We will decide on the algorithms.
We will optimize it. We will shape it.
We will nourish it to the point that no one,
not even in a million years, will be able to replicate it or compete with us.
No, the reason why they won't be able to do
so is because only you know what you need.
Only you know your abilities, your strengths, your weaknesses,
your interests, the daily tasks you are facing, which and that's
why only you are capable of enhancing yourself.
Now, a system that is designed
with such a large variety of unique components of proprietary
components is a system that can never be centralized.
Our models, they will carry our unique qualities,
and yes, they will also carry our biases.
And while I may have a specific bias, let's say I'm a very big fan of Python
and I will prioritize it any time somebody else
may have a completely different bias.
They're big fans of C++, so they'll even do some machine learning with C++.
And this is exactly how we balance
ourselves.
Our qualities are transferred to our models,
and since we are different, our models will be different, too.
And this, my friends, this is the revolution that everyone is talking about.
But it is not a revolution that we silently embrace.
No, it's a revolution that we actively control.
And this is checkmate.
So my task from now on is to provide you
with a template of such a such a model.
And then it's up to you to customize it.
You can then pick and choose the type of components that your model will have.
So, for example, if you're a graphic designer,
your model will have some computer vision components.
If you are a marketing expert, your model will probably have
some natural language processing components and so on and so on.
Now you already know me.
I'm not just going to provide you this template with as a piece of code
that you copy paste, look inside and Oh my God, what is this?
I have no means of understanding it. No.
I will explain everything.
Step by step and adjust the how, but also the why.
Why do we need a lost function?
Why do we need a learning rate?
Why does it need to be small?
We will tackle all of it and we will break it down in such a way
that you will never need ChatGPT ever again.
Your employer can have it. It's all fine.
They can use it as much as they want, but they will never be able to replicate
your unique proprietary model that only you possess.
If you think this will work, or if you want to help me grasp
this very, very complex system, then please start learning.
I write now, not tomorrow.
Today you can always pick up a very nice book
or you can read a bunch of articles, or I'm actually
including a bunch of links to free courses in the description.
Now, I'm not going to lie to you.
These are not the best courses.
I speak from experience, but if you combine them with my A.I.
simplified playlist, then I believe you'll be able to figure it out.
I hope.
But if not, it's okay.
We will go over everything in proper simplified tutorials,
but I would really appreciate some help and thank you so much
for watching this much more positive vlog.
The previous one was terrifying.
It was very depressing and morbid, but thank you for commenting
and thank you for for showing me your perspective. Now.
On the same note.
Thanks again for watching.
I will see you this time in a proper tutorial, not in a vlog
because I don't like this format of me talking to a camera.
I prefer talking to humans.
Maybe we'll do some live streams where you can actually have conversations with me.
I'd much rather that much rather that.
So yeah, I talk too much. Have a good day.
Bye. Bye.