Hello,

traditional Alignment models these days

may lack the additional grounding to Real Life Outcome

(not quite sure, but it departs from this premise, as a (if) base)

We take Survey data(s) on Occupation, how each occupation (150+)

Will use the AI tooling , and plan to use, and or oppose

and then we procure an Extra survey from third party

1

We gather the data

(as above, from state and third party)

2

WE tag those data

onto either a existing Alignment Model / Trigger Model categories

3

We interview the people

record and ask to publish or put onto the work result

4

We expand & oppose using their use case

see if there's a case where either

they agree / disagree with an existing models'

alignment limits & not even reaching those

(already met the difficulty of monetizing

if even provided with ai fully)

5

we compare the results

with an existing ai alignment emulation model /

risk trigger model

(for example, if suppose a graphic designer,

decides to flood the market using

time-gated pseudonyms and

So what we then have

is a pool of

Occupation + Use of AI + opposition of "alignment" or

encroaching use from outside of their scope

(suppose they are "worried about this and that")

then:

make or attach to or compare

to an emulation

[] before [] tag

[] after [] compare

and then those forms the

% data of Indonesia, or per state, and what the people do in that state

then those people are "emulated"

as to how things might play out, if they win (interest is bolstered/kept)

or if normally

then some interesting outcomes / outlooks on the aggregate

if suppose any current policy (to be plugged from outside)

is the one that remains, what kind of change

would have happened in that landscape,

after the time period of

"emulated, occupational emulation, after introduction of plenty of AI"

then we compare this result with

a neighboring AI Risk / emulation models,

and tell them if we managed to obtain

new categories, better accuracy, or just provide support grounding

and the "validation" that their prediction,

vs

how each occupation

views their life, whether knowingly or not, after

their occupation gets seeded with AI use