I think it's crucial if you see the original researchers
or the original work has been done for creating the
first albums all happened in Western Europe.
Yeah. And in essence, that's all based on,
often based on the big data sets called Common Core,
which is English. And so these models,
these language models have been based on the English language
and don't really incorporate any other cultural messaging.
And these kind of subtleties are things that we as
humans understand really well,
this technology if we do not incorporate.
This sort of cultural knowledge.
Which is not just dependent on language,
but just really look here,
Southeast Asia, how many different cultures do we have here?
Malaysia itself has has both an Indian culture,
it has a Malay culture,
it has Chinese culture. All these different cultures,
even within the country, need to be served in the
right way to make sure that digital systems represent them
as well.
Cultural awareness is one thing,
but can it become universally culturally aware by 2024?
Because we're talking about thousands,
not 10s of thousands of different cultures and subcultures across
the world.
Is that possible and what do you think is that
is the turning point that really is going to help
AI get to that level near universal?
Risings. So my prediction of course was that this is
2024 is the starting year of this.
I mean training ideas, these models take time.
I'm not saying that this completely comes to fruition,
but we already see the first models arriving.
Next step in that is can these models collaborate?
Can the Western model collaborate,
for example, with the Southeast Asia model?
To actually make sure that the right answers are given
under the right Co conditions depending on who is asking
the question or what context there is.
So I honestly believe we're investing significantly in this as
well.
You have to remember that AWS is not a consumer
oriented business.
AWS is a business to business.
Porosity is important that businesses here in the region for
example,
have the right tools that are culturally rare in this
region.
Just that they can, they can build their applications on
top of that and serve their their customers.