part 4

May 12, 2026 14:10 · 20:00 · English · Whisper Turbo · 2 Ke Keiki
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0:00
S… Speaker 2 (part 4)
What on AI is happening today?
0:02
S… Speaker 2 (part 4)
Do you know how many founders are?
0:05
S… Speaker 2 (part 4)
Do you know how many freelancers are doing?
0:09
S… Speaker 2 (part 4)
Do you know how many AI services are doing?
0:11
S… Speaker 1 (part 4)
Do you know how many people are doing?
0:13
S… Speaker 2 (part 4)
You know how many people are doing?
0:15
S… Speaker 1 (part 4)
There are 2 -3 % penetration.
0:18
S… Speaker 1 (part 4)
That's what I was about to say.
0:20
S… Speaker 2 (part 4)
Let's say 10 % penetration.
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S… Speaker 2 (part 4)
Only 10 % or 5 % penetration is
0:26
S… Speaker 1 (part 4)
on AI services.
0:27
S… Speaker 1 (part 4)
While
0:29
S… Speaker 2 (part 4)
There is a website designing.
0:30
S… Speaker 2 (part 4)
Is it just like website designing?
0:33
S… Speaker 2 (part 4)
Freelancing and website digital marketing.
0:35
S… Speaker 2 (part 4)
Imagine website designing
0:40
S… Speaker 1 (part 4)
in 2000.
0:42
S… Speaker 2 (part 4)
Or 1996.
0:43
S… Speaker 2 (part 4)
I don't know.
0:44
S… Speaker 2 (part 4)
When did .com come?
0:45
S… Speaker 1 (part 4)
I don't know.
0:46
S… Speaker 1 (part 4)
Right?
0:46
S… Speaker 2 (part 4)
That is the version of
0:51
S… Speaker 1 (part 4)
AI services.
0:52
S… Speaker 2 (part 4)
Then the 10x version is the opportunity right now.
0:55
S… Speaker 1 (part 4)
In this hour.
0:58
S… Speaker 2 (part 4)
It could be 10 billion or 7 billion or 5 billion.
1:00
S… Speaker 2 (part 4)
Whatever that number is.
1:02
S… Speaker 2 (part 4)
Let's say 5 ,000 crores.
1:04
S… Speaker 2 (part 4)
50 ,000 crores.
1:07
S… Speaker 2 (part 4)
20 ,000 crores.
1:08
S… Speaker 1 (part 4)
My bad.
1:09
S… Speaker 2 (part 4)
Sorry. 40 ,000 crores.
1:11
S… Speaker 2 (part 4)
20 ,000 crores.
1:13
S… Speaker 2 (part 4)
20 ,000 crores worth of revenue on freelancing or consulting
1:17
S… Speaker 2 (part 4)
is happening when most of the world is
1:22
S… Speaker 2 (part 4)
not AI aware.
1:25
S… Speaker 2 (part 4)
But these services are either aware of companies
1:29
S… Speaker 2 (part 4)
or large companies are seeking for services.
1:32
S… Speaker 1 (part 4)
Right?
1:33
S… Speaker 2 (part 4)
My uncle's
1:37
S… Speaker 2 (part 4)
shop and AI doesn't want to invite them to their website.
1:40
S… Speaker 2 (part 4)
When AI gets to this phase,
1:44
S… Speaker 2 (part 4)
imagine this will become like 10 times,
1:45
S… Speaker 2 (part 4)
20 times, 30 times larger.
1:47
S… Speaker 2 (part 4)
And that is the opportunity.
1:48
S… Speaker 2 (part 4)
But there is no supply.
1:51
S… Speaker 1 (part 4)
It's like that.
1:53
S… Speaker 2 (part 4)
So AI consulting is just insanely big.
1:56
S… Speaker 2 (part 4)
And AI consulting is insane.
1:58
S… Speaker 2 (part 4)
It's crazy.
2:00
S… Speaker 2 (part 4)
AI content.
2:02
S… Speaker 2 (part 4)
AI content is breakdown.
2:03
S… Speaker 2 (part 4)
Video ads.
2:05
S… Speaker 2 (part 4)
They're all AI generated.
2:07
S… Speaker 2 (part 4)
That in itself.
2:09
S… Speaker 2 (part 4)
I know a person.
2:09
S… Speaker 2 (part 4)
Priyanko and a mentor.
2:11
S… Speaker 2 (part 4)
But what revenue would be.
2:13
S… Speaker 2 (part 4)
Making AI videos for brands.
2:17
S… Speaker 2 (part 4)
I would call Colgate.
2:20
S… Speaker 2 (part 4)
AI services,
2:21
S… Speaker 1 (part 4)
AI services,
2:22
S… Speaker 1 (part 4)
video,
2:23
S… Speaker 2 (part 4)
video category.
2:24
S… Speaker 2 (part 4)
Ingo category.
2:25
S… Speaker 2 (part 4)
Let's say content cloning.
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S… Speaker 2 (part 4)
You know all my content is AI generated.
2:29
S… Speaker 2 (part 4)
Let's say tomorrow there's
2:33
S… Speaker 2 (part 4)
a founder who doesn't have the time.
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S… Speaker 2 (part 4)
He wants to create content.
2:36
S… Speaker 2 (part 4)
But he cannot shoot.
2:39
S… Speaker 2 (part 4)
If he gets to know,
2:40
S… Speaker 2 (part 4)
if he gets to an AI clone,
2:41
S… Speaker 2 (part 4)
if he gets to shoot an AI clone,
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S… Speaker 2 (part 4)
if he gets to shoot an AI clone,
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S… Speaker 2 (part 4)
then he gets to create an AI clone and voice note.
2:47
S… Speaker 2 (part 4)
And if he gets to talk to an AI clone,
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S… Speaker 2 (part 4)
he gets to create an AI clone.
2:53
S… Speaker 2 (part 4)
AI content for founders
2:57
S… Speaker 2 (part 4)
personal brand is one category.
3:00
S… Speaker 2 (part 4)
I know people who are making crores just doing this.
3:04
S… Speaker 2 (part 4)
5 ,000,
3:05
S… Speaker 2 (part 4)
6 ,000 dollars per month per client.
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S… Speaker 2 (part 4)
In India,
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S… Speaker 2 (part 4)
I have friends of mine who are founders
3:12
S… Speaker 2 (part 4)
who are paying 5 lakhs a month for this.
3:15
S… Speaker 2 (part 4)
In India,
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S… Speaker 2 (part 4)
international clients don't have to talk about it.
3:18
S… Speaker 2 (part 4)
Content is a service.
3:22
S… Speaker 2 (part 4)
Take it.
3:24
S… Speaker 2 (part 4)
I don't want anyone else.
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S… Speaker 2 (part 4)
AI.
3:26
S… Speaker 2 (part 4)
Content is created.
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S… Speaker 2 (part 4)
You can name creator.
3:32
S… Speaker 2 (part 4)
One of the creators,
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S… Speaker 2 (part 4)
one of the webhows,
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S… Speaker 2 (part 4)
one of the webhows.
3:37
S… Speaker 2 (part 4)
Opportunities all out there.
3:41
S… Speaker 1 (part 4)
Right.
3:41
S… Speaker 1 (part 4)
You have to look at it.
3:43
S… Speaker 1 (part 4)
You have to take execution.
3:44
S… Speaker 1 (part 4)
You have to win.
3:44
S… Speaker 2 (part 4)
If I just expand faster.
3:46
S… Speaker 2 (part 4)
Prompting.
3:46
S… Speaker 2 (part 4)
You can sell prompt engineering as a service.
3:49
S… Speaker 2 (part 4)
A lot of people want you to write prompts.
3:51
S… Speaker 1 (part 4)
Okay.
3:52
S… Speaker 2 (part 4)
You can wipe code products.
3:55
S… Speaker 2 (part 4)
I know people who are making millions of dollars.
3:57
S… Speaker 2 (part 4)
One's wipe code MVP is $10 ,000,
3:59
S… Speaker 1 (part 4)
$20 ,000.
4:00
S… Speaker 2 (part 4)
They're not coding.
4:02
S… Speaker 2 (part 4)
If a founder has a minimum viable product and
4:06
S… Speaker 2 (part 4)
he doesn't know how to wipe code or they don't have the time to wipe code.
4:09
S… Speaker 2 (part 4)
So they're paying someone else to build that product.
4:11
S… Speaker 2 (part 4)
Using lovable,
4:13
S… Speaker 2 (part 4)
using emergent,
4:13
S… Speaker 2 (part 4)
using these tools.
4:14
S… Speaker 2 (part 4)
That is wipe coding as a service.
4:16
S… Speaker 2 (part 4)
I know,
4:17
S… Speaker 2 (part 4)
I have a friend,
4:18
S… Speaker 1 (part 4)
Harshita.
4:19
S… Speaker 2 (part 4)
He again does a multi -million dollar agency.
4:22
S… Speaker 2 (part 4)
You know what he sells?
4:23
S… Speaker 2 (part 4)
AI agents.
4:24
S… Speaker 2 (part 4)
He sells it.
4:26
S… Speaker 1 (part 4)
He sells it.
4:26
S… Speaker 2 (part 4)
If you have a problem,
4:28
S… Speaker 2 (part 4)
you don't have any problem.
4:29
S… Speaker 2 (part 4)
Sponsorship is here or here.
4:30
S… Speaker 2 (part 4)
If you pay for 1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000
4:35
S… Speaker 2 (part 4)
,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000
4:39
S… Speaker 2 (part 4)
,000 ,000 ,000
4:43
S… Speaker 2 (part 4)
,000
4:49
S… Speaker 1 (part 4)
,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000,
4:49
S… Speaker 2 (part 4)
Find a problem that you are passionate about.
4:51
S… Speaker 1 (part 4)
Figure out,
4:54
S… Speaker 2 (part 4)
AI doesn't need to solve AI agent,
4:57
S… Speaker 2 (part 4)
wipe coding product.
5:00
S… Speaker 2 (part 4)
If you want to do a new workflow,
5:00
S… Speaker 2 (part 4)
you go through this ADAPT framework,
5:03
S… Speaker 2 (part 4)
you figure out,
5:04
S… Speaker 2 (part 4)
you solve that problem and deploy that solution in your company.
5:08
S… Speaker 2 (part 4)
If you have 3 -4 months,
5:10
S… Speaker 2 (part 4)
you can fine -tune it,
5:11
S… Speaker 2 (part 4)
you can do it, you can do it,
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S… Speaker 2 (part 4)
you can do it.
5:13
S… Speaker 2 (part 4)
Solve that bloody problem in your company.
5:16
S… Speaker 2 (part 4)
The moment you solve that problem,
5:18
S… Speaker 2 (part 4)
let's say,
5:18
S… Speaker 2 (part 4)
Vamshi,
5:19
S… Speaker 2 (part 4)
you are 90 % of that person,
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S… Speaker 2 (part 4)
and you can do it in fintech company,
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S… Speaker 2 (part 4)
let's say you can grow.
5:26
S… Speaker 2 (part 4)
Fintech companies will solve that problem using AI.
5:30
S… Speaker 2 (part 4)
Any fintech companies in India?
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S… Speaker 2 (part 4)
Any fintech companies in the world?
5:35
S… Speaker 2 (part 4)
Can't you
5:40
S… Speaker 2 (part 4)
make that into a product and sell that?
5:41
S… Speaker 2 (part 4)
People say,
5:45
S… Speaker 2 (part 4)
and it is true,
5:47
S… Speaker 2 (part 4)
that AI is going to be destructive.
5:48
S… Speaker 2 (part 4)
It also is the most constructive thing that we have seen
5:52
S… Speaker 2 (part 4)
in our generations.
5:57
S… Speaker 2 (part 4)
Manu opportunity choosth nawa le sinhma choosth nawa.
6:01
S… Speaker 2 (part 4)
Other difference.
6:03
S… Speaker 2 (part 4)
Because I think this is generational.
6:04
S… Speaker 2 (part 4)
I truly,
6:05
S… Speaker 2 (part 4)
truly, truly believe it's generational.
6:07
S… Speaker 1 (part 4)
See,
6:08
S… Speaker 1 (part 4)
intelligence is a problem.
6:09
S… Speaker 1 (part 4)
It's solved.
6:11
S… Speaker 1 (part 4)
The industry,
6:13
S… Speaker 1 (part 4)
billions of dollars of industry,
6:15
S… Speaker 1 (part 4)
thousands of crores burn out.
6:18
S… Speaker 1 (part 4)
So,
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S… Speaker 1 (part 4)
what's the future,
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S… Speaker 1 (part 4)
Russell? Inflection.
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S… Speaker 2 (part 4)
Everything goes to an inflection point.
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S… Speaker 2 (part 4)
Like,
6:30
S… Speaker 2 (part 4)
we have a lot of money.
6:32
S… Speaker 2 (part 4)
How old are jobs?
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S… Speaker 2 (part 4)
Humans started to work in jobs for how many years?
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S… Speaker 1 (part 4)
A couple of hundred years.
6:39
S… Speaker 2 (part 4)
Probably a hundred years.
6:41
S… Speaker 2 (part 4)
How long have we been around?
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S… Speaker 2 (part 4)
Ask your grandfather what his grandfather used to do.
6:46
S… Speaker 2 (part 4)
He was not doing a job for sure because it didn't exist.
6:50
S… Speaker 1 (part 4)
Right?
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S… Speaker 2 (part 4)
We humans are incredible with adapting.
6:54
S… Speaker 2 (part 4)
And we also have a short term memory.
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S… Speaker 2 (part 4)
Computer jobs,
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S… Speaker 2 (part 4)
computer jobs, computer jobs.
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S… Speaker 2 (part 4)
How old are jobs which are around computers?
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S… Speaker 2 (part 4)
20 years,
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S… Speaker 2 (part 4)
25 years.
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S… Speaker 2 (part 4)
That's it.
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S… Speaker 2 (part 4)
20,
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S… Speaker 2 (part 4)
25 years.
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S… Speaker 1 (part 4)
And now that's the story.
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S… Speaker 1 (part 4)
We have a pain point.
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S… Speaker 2 (part 4)
25 years is old.
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S… Speaker 2 (part 4)
People survived,
7:15
S… Speaker 2 (part 4)
right? We will adapt.
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S… Speaker 2 (part 4)
But the problem with all of this equation is,
7:20
S… Speaker 1 (part 4)
see,
7:21
S… Speaker 2 (part 4)
there's going to be,
7:22
S… Speaker 2 (part 4)
long term,
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S… Speaker 2 (part 4)
there's going to be utopia.
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S… Speaker 2 (part 4)
Utopia is,
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S… Speaker 2 (part 4)
it's going to be all happy.
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S… Speaker 2 (part 4)
Because there will be universal basic income.
7:30
S… Speaker 1 (part 4)
Or,
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S… Speaker 2 (part 4)
there's going to be...
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S… Speaker 2 (part 4)
There's going to be either UBI,
7:35
S… Speaker 2 (part 4)
which is universal basic income.
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S… Speaker 2 (part 4)
I'll explain you what that is.
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S… Speaker 2 (part 4)
Or Elon Musk says it's going to be universal high income.
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S… Speaker 2 (part 4)
Not basic,
7:43
S… Speaker 2 (part 4)
high. Which I really,
7:47
S… Speaker 2 (part 4)
really hope Elon Musk is right.
7:48
S… Speaker 1 (part 4)
Okay.
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S… Speaker 2 (part 4)
But universal high income.
7:51
S… Speaker 2 (part 4)
What is that?
7:53
S… Speaker 2 (part 4)
It's very simple.
7:53
S… Speaker 2 (part 4)
Actually, quite interesting.
7:55
S… Speaker 2 (part 4)
I don't know how many of the people are geeking out.
7:56
S… Speaker 2 (part 4)
Sam Altman dropped a report.
7:58
S… Speaker 2 (part 4)
It's a report for the intelligence world that we're
8:02
S… Speaker 1 (part 4)
going to live in.
8:03
S… Speaker 2 (part 4)
It's a fancy word.
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S… Speaker 2 (part 4)
Intelligence report.
8:10
S… Speaker 2 (part 4)
What Sam Altman is predicting is AI is becoming so smart.
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S… Speaker 2 (part 4)
And in the next few months,
8:16
S… Speaker 2 (part 4)
if not years,
8:16
S… Speaker 2 (part 4)
in a few months.
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S… Speaker 2 (part 4)
Advanced models of AIs are going to drop,
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S… Speaker 2 (part 4)
which are going to be so powerful that it's going to divestate jobs.
8:24
S… Speaker 1 (part 4)
Okay.
8:25
S… Speaker 2 (part 4)
The AIs are so powerful that it will hack into every system
8:29
S… Speaker 1 (part 4)
out there.
8:30
S… Speaker 2 (part 4)
It will be absolute mess.
8:33
S… Speaker 2 (part 4)
There will be a shakeup of economy that will happen because of the
8:37
S… Speaker 2 (part 4)
new AI models that are going to come in.
8:39
S… Speaker 1 (part 4)
Okay.
8:40
S… Speaker 2 (part 4)
Is what Sam Altman is saying.
8:43
S… Speaker 2 (part 4)
Next day,
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S… Speaker 2 (part 4)
Claude dropped Claude Mythos,
8:46
S… Speaker 2 (part 4)
which we will talk about a little later.
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S… Speaker 2 (part 4)
Which is an AI model,
8:52
S… Speaker 2 (part 4)
which is so bloody powerful,
8:54
S… Speaker 2 (part 4)
that it is able to hack into almost anything.
8:57
S… Speaker 2 (part 4)
So when the model released,
9:00
S… Speaker 2 (part 4)
only 40 companies have access.
9:08
S… Speaker 2 (part 4)
to secure the services on the internet.
9:09
S… Speaker 2 (part 4)
After this model,
9:11
S… Speaker 2 (part 4)
using this model,
9:14
S… Speaker 2 (part 4)
anybody can hack anything.
9:15
S… Speaker 2 (part 4)
So that is what Sam Ortman
9:19
S… Speaker 2 (part 4)
said one day before,
9:20
S… Speaker 2 (part 4)
and the next day,
9:21
S… Speaker 2 (part 4)
Antropic dropped this model.
9:23
S… Speaker 2 (part 4)
But anyways,
9:24
S… Speaker 2 (part 4)
but the solution is that 13 -page document.
9:27
S… Speaker 1 (part 4)
Okay.
9:27
S… Speaker 1 (part 4)
That report.
9:28
S… Speaker 2 (part 4)
Which is quite interesting.
9:30
S… Speaker 2 (part 4)
So what I'm saying is,
9:32
S… Speaker 2 (part 4)
when we do AI,
9:33
S… Speaker 2 (part 4)
we don't do it anymore.
9:37
S… Speaker 2 (part 4)
The first thing,
9:40
S… Speaker 2 (part 4)
that he basically said is dividends.
9:43
S… Speaker 2 (part 4)
What does that mean?
9:46
S… Speaker 2 (part 4)
Every human gets dividend.
9:47
S… Speaker 2 (part 4)
He talks about US citizens,
9:49
S… Speaker 2 (part 4)
but I'll put it on a global perspective.
9:51
S… Speaker 2 (part 4)
So if most of the work is done by AI,
9:55
S… Speaker 2 (part 4)
then you don't need,
9:57
S… Speaker 2 (part 4)
we don't have a lot of companies.
10:00
S… Speaker 2 (part 4)
The government
10:14
S… Speaker 2 (part 4)
taxes those companies,
10:16
S… Speaker 2 (part 4)
uses that money and gives everybody,
10:19
S… Speaker 2 (part 4)
every citizen money to survive.
10:22
S… Speaker 2 (part 4)
Which is basically universal basic income.
10:26
S… Speaker 2 (part 4)
In that universal basic income,
10:28
S… Speaker 2 (part 4)
there is a question about double allows.
10:30
S… Speaker 2 (part 4)
The question is about taxation.
10:31
S… Speaker 2 (part 4)
Taxing the AI companies.
10:34
S… Speaker 1 (part 4)
So that is
10:42
S… Speaker 2 (part 4)
how everybody gets money.
10:45
S… Speaker 2 (part 4)
And actually,
10:46
S… Speaker 2 (part 4)
in Alaska...
10:49
S… Speaker 2 (part 4)
I think they have the petrochemical or some
10:53
S… Speaker 2 (part 4)
set up there where they already do this.
10:55
S… Speaker 2 (part 4)
Every Alaskan gets money from the government.
10:59
S… Speaker 2 (part 4)
So,
10:59
S… Speaker 2 (part 4)
if you have a handouts in COVID,
11:02
S… Speaker 2 (part 4)
imagine that at 100x.
11:05
S… Speaker 2 (part 4)
That is handouts.
11:07
S… Speaker 2 (part 4)
That is universal basic income.
11:08
S… Speaker 2 (part 4)
Elon Musk says,
11:10
S… Speaker 2 (part 4)
there will be nothing left for a human to do.
11:14
S… Speaker 2 (part 4)
And there will be so much abundance that there will be insane devaluation
11:19
S… Speaker 1 (part 4)
of everything.
11:20
S… Speaker 2 (part 4)
As a result,
11:21
S… Speaker 2 (part 4)
money will hold no value.
11:23
S… Speaker 2 (part 4)
That is universal high
11:27
S… Speaker 2 (part 4)
income. So everybody has access to everything.
11:33
S… Speaker 2 (part 4)
We don't know.
11:34
S… Speaker 2 (part 4)
We don't know.
11:34
S… Speaker 2 (part 4)
Have you watched Good Life?
11:35
S… Speaker 1 (part 4)
No.
11:36
S… Speaker 2 (part 4)
It's a show on Netflix.
11:37
S… Speaker 1 (part 4)
It's quite interesting.
11:38
S… Speaker 2 (part 4)
You should watch it.
11:39
S… Speaker 1 (part 4)
What will happen to the human race?
11:41
S… Speaker 1 (part 4)
What will happen to the next?
11:42
S… Speaker 2 (part 4)
What will happen to the human race?
11:45
S… Speaker 2 (part 4)
I don't know. In the next 5 -10
11:49
S… Speaker 1 (part 4)
years, we will see it.
11:50
S… Speaker 2 (part 4)
The humans will evolve.
11:52
S… Speaker 2 (part 4)
Because I think that report didn't tell us.
11:54
S… Speaker 2 (part 4)
We also said it.
11:55
S… Speaker 2 (part 4)
Robot accent.
11:56
S… Speaker 2 (part 4)
Robot accent.
11:58
S… Speaker 2 (part 4)
What is the humans job check?
11:59
S… Speaker 2 (part 4)
Robot accent.
12:00
S… Speaker 2 (part 4)
Robot accent.
12:06
S… Speaker 2 (part 4)
So, if you deploy a human,
12:08
S… Speaker 2 (part 4)
you pay a tax on salary.
12:11
S… Speaker 2 (part 4)
In the same way,
12:12
S… Speaker 2 (part 4)
if you deploy a robot,
12:13
S… Speaker 2 (part 4)
you pay a tax on salary.
12:15
S… Speaker 2 (part 4)
That is called robot tax.
12:16
S… Speaker 2 (part 4)
If you get AI or robot to work,
12:18
S… Speaker 2 (part 4)
you pay tax for that.
12:20
S… Speaker 2 (part 4)
That is robot tax.
12:22
S… Speaker 1 (part 4)
So,
12:25
S… Speaker 2 (part 4)
it's quite interesting.
12:26
S… Speaker 2 (part 4)
That's a 13 page report.
12:27
S… Speaker 2 (part 4)
Then they say on a short term.
12:32
S… Speaker 2 (part 4)
People will not have enough work. So we should make it a 30 hour work week.
12:37
S… Speaker 2 (part 4)
And pay the same salary.
12:38
S… Speaker 2 (part 4)
Not reduce it.
12:39
S… Speaker 2 (part 4)
I think this is more on a shorter term.
12:42
S… Speaker 2 (part 4)
So this report is a reflection.
12:43
S… Speaker 2 (part 4)
Universal basic income.
12:45
S… Speaker 2 (part 4)
Harmony.
12:45
S… Speaker 2 (part 4)
Guardrails.
12:46
S… Speaker 2 (part 4)
If AI loses the trail.
12:49
S… Speaker 2 (part 4)
If it ends up doing something.
12:50
S… Speaker 2 (part 4)
We need a backup plan.
12:52
S… Speaker 2 (part 4)
A backup plan isn't done.
12:53
S… Speaker 2 (part 4)
A backup plan isn't done.
12:55
S… Speaker 2 (part 4)
A backup plan isn't done. A backup plan isn't done.
12:56
S… Speaker 2 (part 4)
A backup plan isn't done.
12:57
S… Speaker 2 (part 4)
Basically the report isn't done.
12:59
S… Speaker 2 (part 4)
It's not done.
12:59
S… Speaker 1 (part 4)
It's been done.
13:00
S… Speaker 2 (part 4)
It's been done.
13:09
S… Speaker 2 (part 4)
I feel like it is like a,
13:11
S… Speaker 2 (part 4)
but it's interesting.
13:14
S… Speaker 2 (part 4)
Like the thing that is crazy is everything that we're speaking
13:18
S… Speaker 2 (part 4)
six months, nine months,
13:19
S… Speaker 2 (part 4)
12 months back is happening,
13:20
S… Speaker 2 (part 4)
bro. It's happening before even I predicted it or anyone
13:25
S… Speaker 1 (part 4)
else did.
13:25
S… Speaker 1 (part 4)
No,
13:26
S… Speaker 1 (part 4)
this is most scary.
13:28
S… Speaker 1 (part 4)
So, this is about Sam Altman.
13:31
S… Speaker 2 (part 4)
I know we are getting that.
13:32
S… Speaker 1 (part 4)
The New Yorker report or the article says that,
13:36
S… Speaker 1 (part 4)
Sam Altman may control our future.
13:40
S… Speaker 1 (part 4)
Can he be trusted?
13:41
S… Speaker 1 (part 4)
So,
13:42
S… Speaker 1 (part 4)
in this article,
13:44
S… Speaker 1 (part 4)
they met around 100 people.
13:46
S… Speaker 1 (part 4)
I mean,
13:46
S… Speaker 1 (part 4)
I'm sure you must be knowing it.
13:48
S… Speaker 1 (part 4)
Who know Sam Altman very well.
13:50
S… Speaker 1 (part 4)
And,
13:50
S… Speaker 1 (part 4)
of course, Sam also martyred it.
13:52
S… Speaker 1 (part 4)
After talking about it,
13:53
S… Speaker 1 (part 4)
it's almost like evidence.
13:57
S… Speaker 1 (part 4)
In an investigative article,
14:00
S… Speaker 1 (part 4)
Sam Eltman is a liar,
14:02
S… Speaker 1 (part 4)
a sociopath.
14:03
S… Speaker 1 (part 4)
What do
14:09
S… Speaker 1 (part 4)
you
14:13
S… Speaker 1 (part 4)
feel?
14:14
S… Speaker 1 (part 4)
I
14:20
S… Speaker 2 (part 4)
think disruptive things are built
14:24
S… Speaker 2 (part 4)
by disruptive people.
14:27
S… Speaker 1 (part 4)
Okay.
14:27
S… Speaker 2 (part 4)
You can't be a straight -headed person to
14:32
S… Speaker 2 (part 4)
build something or to run something that will
14:36
S… Speaker 2 (part 4)
change the world or else it would not have.
14:38
S… Speaker 1 (part 4)
So,
14:41
S… Speaker 2 (part 4)
while I'm not comparing Sam Altman
14:45
S… Speaker 1 (part 4)
to...
14:46
S… Speaker 2 (part 4)
I'm a huge Steve Jobs fan.
14:48
S… Speaker 1 (part 4)
Okay.
14:48
S… Speaker 2 (part 4)
So, I'm not comparing Sam Altman to Steve Jobs.
14:51
S… Speaker 2 (part 4)
I don't think it's fair on both the fronts.
14:53
S… Speaker 2 (part 4)
Not just on Steve Jobs' front,
14:56
S… Speaker 2 (part 4)
also on Sam Altman.
14:57
S… Speaker 2 (part 4)
So, I'm Sam Altman's front.
15:00
S… Speaker 1 (part 4)
How was Steve Jobs?
15:01
S… Speaker 1 (part 4)
Have you ever read his biography?
15:02
S… Speaker 1 (part 4)
How was Bill Gates?
15:05
S… Speaker 1 (part 4)
Have you seen this
15:09
S… Speaker 1 (part 4)
movie Jusava?
15:09
S… Speaker 1 (part 4)
Guru Jusava?
15:13
S… Speaker 1 (part 4)
Was he
15:18
S… Speaker 1 (part 4)
straight? Was he a straight -headed person?
15:21
S… Speaker 1 (part 4)
Nobody is.
15:24
S… Speaker 1 (part 4)
See, everybody is weird in their own way.
15:26
S… Speaker 1 (part 4)
So I don't know.
15:27
S… Speaker 1 (part 4)
So I'm
15:32
S… Speaker 1 (part 4)
nobody to say this,
15:34
S… Speaker 1 (part 4)
but I think for you to build something so destructive,
15:38
S… Speaker 1 (part 4)
you have to be twisted,
15:39
S… Speaker 1 (part 4)
man.
15:39
S… Speaker 1 (part 4)
You have to be mad.
15:41
S… Speaker 1 (part 4)
So I think it is blowing things out of
15:45
S… Speaker 1 (part 4)
proportions.
15:45
S… Speaker 1 (part 4)
Like think about Elon Musk.
15:48
S… Speaker 1 (part 4)
The same guy,
15:49
S… Speaker 1 (part 4)
he is the
16:00
S… Speaker 1 (part 4)
same guy who is the reason why even Indian roads
16:04
S… Speaker 1 (part 4)
have electric cars.
16:05
S… Speaker 1 (part 4)
Tesla is the one that
16:09
S… Speaker 1 (part 4)
builds the business.
16:11
S… Speaker 1 (part 4)
He's the guy for the first time when he said,
16:14
S… Speaker 1 (part 4)
I will land the rocket
16:18
S… Speaker 1 (part 4)
back.
16:18
S… Speaker 1 (part 4)
NASA laughed.
16:20
S… Speaker 1 (part 4)
The world laughed.
16:20
S… Speaker 1 (part 4)
He made it happen.
16:21
S… Speaker 1 (part 4)
Now everybody wants it.
16:23
S… Speaker 1 (part 4)
A straight -headed person doesn't think like this.
16:27
S… Speaker 1 (part 4)
Now Sam Altman says,
16:29
S… Speaker 1 (part 4)
boss, we don't have enough energy.
16:30
S… Speaker 1 (part 4)
When Sam Altman said,
16:31
S… Speaker 1 (part 4)
I need to raise a trillion dollars.
16:33
S… Speaker 1 (part 4)
Everybody laughed.
16:35
S… Speaker 1 (part 4)
Trillion dollars,
16:37
S… Speaker 1 (part 4)
sir.
16:39
S… Speaker 1 (part 4)
It's bigger than a country.
16:40
S… Speaker 1 (part 4)
How will you raise a trillion dollars?
16:41
S… Speaker 1 (part 4)
Guess how much he has raised after he said that?
16:44
S… Speaker 1 (part 4)
More than 150 billion dollars already.
16:47
S… Speaker 1 (part 4)
150 billion dollars together.
16:50
S… Speaker 1 (part 4)
I think more than 200 billion dollars if I'm not wrong.
16:52
S… Speaker 1 (part 4)
No one in the history for any
16:56
S… Speaker 1 (part 4)
company had raised 200 billion dollars of funding.
17:00
S… Speaker 1 (part 4)
He said 1 trillion dollars.
17:03
S… Speaker 1 (part 4)
People laughed.
17:03
S… Speaker 1 (part 4)
I'm telling you he'll get to a trillion dollars.
17:08
S… Speaker 1 (part 4)
Now, there's a bigger question.
17:09
S… Speaker 1 (part 4)
The bigger question is,
17:10
S… Speaker 1 (part 4)
See,
17:14
S… Speaker 1 (part 4)
I believe in larger
17:20
S… Speaker 1 (part 4)
goodness.
17:21
S… Speaker 2 (part 4)
Right?
17:22
S… Speaker 1 (part 4)
He could be twisted in ways so that he
17:26
S… Speaker 1 (part 4)
wins.
17:27
S… Speaker 1 (part 4)
But eventually,
17:28
S… Speaker 1 (part 4)
he also would have to live with us.
17:31
S… Speaker 1 (part 4)
For that,
17:33
S… Speaker 1 (part 4)
humanity has to win.
17:34
S… Speaker 1 (part 4)
He's
17:39
S… Speaker 1 (part 4)
not in a job.
17:40
S… Speaker 1 (part 4)
See, what fight Sam Altman or Dario Amade or Elon Musk
17:44
S… Speaker 1 (part 4)
or Sundar Pichai at this point of time,
17:46
S… Speaker 1 (part 4)
they're not competing anymore.
17:49
S… Speaker 1 (part 4)
Like competing with everybody else.
17:51
S… Speaker 1 (part 4)
They are basically competing to be the king.
17:53
S… Speaker 1 (part 4)
They're competing to be the ruler
17:57
S… Speaker 1 (part 4)
of the world.
17:58
S… Speaker 1 (part 4)
And this,
18:00
S… Speaker 1 (part 4)
the world that they're going to live in is not...
18:04
S… Speaker 1 (part 4)
a world where they're going to whip people.
18:07
S… Speaker 1 (part 4)
It's going to be still a democratic world.
18:09
S… Speaker 1 (part 4)
So you have to be a democratic leader.
18:11
S… Speaker 1 (part 4)
So you have to do right things in front of people for the people
18:15
S… Speaker 1 (part 4)
to stand there.
18:18
S… Speaker 1 (part 4)
For that,
18:19
S… Speaker 1 (part 4)
if they want to push their teams,
18:21
S… Speaker 1 (part 4)
if they're rude,
18:22
S… Speaker 1 (part 4)
if they're arrogant,
18:23
S… Speaker 1 (part 4)
okay,
18:24
S… Speaker 1 (part 4)
big deal.
18:27
S… Speaker 1 (part 4)
It all happens.
18:30
S… Speaker 1 (part 4)
It's fine.
18:31
S… Speaker 1 (part 4)
This is all clickbait according to me.
18:36
S… Speaker 1 (part 4)
See, you have to understand this,
18:38
S… Speaker 1 (part 4)
right? By the way,
18:39
S… Speaker 1 (part 4)
I'm not like a fan fan.

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