part 5

May 12, 2026 14:12 · 20:00 · English · Whisper Turbo · 2 स्पीकर
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फक्त दर्शविले जात आहे
0:00
S… Speaker 2 (part 5)
When I talk to you,
0:01
S… Speaker 2 (part 5)
I get to the transaction.
0:02
S… Speaker 1 (part 5)
In general,
0:03
S… Speaker 1 (part 5)
I saw
0:08
S… Speaker 1 (part 5)
very few people who can convince anyone on a transaction,
0:12
S… Speaker 1 (part 5)
on a sale or on a financial figure.
0:14
S… Speaker 1 (part 5)
In a single call,
0:15
S… Speaker 1 (part 5)
you are the best
0:19
S… Speaker 1 (part 5)
investor.
0:19
S… Speaker 1 (part 5)
I spoke to many people who worked with you,
0:22
S… Speaker 1 (part 5)
who are our friends also.
0:24
S… Speaker 1 (part 5)
I don't know the name,
0:25
S… Speaker 1 (part 5)
but everyone has a feeling.
0:27
S… Speaker 1 (part 5)
He is a great sales guy.
0:29
S… Speaker 1 (part 5)
Of course, you're a great founder,
0:31
S… Speaker 1 (part 5)
great builder.
0:32
S… Speaker 1 (part 5)
How did that sales form?
0:36
S… Speaker 1 (part 5)
How did you crack that?
0:38
S… Speaker 1 (part 5)
Is it innate?
0:39
S… Speaker 1 (part 5)
How much of it is innate and what taught you?
0:42
S… Speaker 2 (part 5)
I think every founder has to be a great salesperson.
0:46
S… Speaker 2 (part 5)
I'm not saying I'm
0:50
S… Speaker 2 (part 5)
a great sales guy,
0:50
S… Speaker 2 (part 5)
but thank you.
0:52
S… Speaker 2 (part 5)
But look at...
0:54
S… Speaker 2 (part 5)
I mean,
0:58
S… Speaker 2 (part 5)
again, not driving pallets,
0:59
S… Speaker 2 (part 5)
that would be a blunder.
1:01
S… Speaker 1 (part 5)
So I want to clarify.
1:03
S… Speaker 2 (part 5)
Steve Jobs is probably the best salesman in the
1:07
S… Speaker 1 (part 5)
world.
1:07
S… Speaker 2 (part 5)
So I think
1:13
S… Speaker 2 (part 5)
it's every good founder is a by default a good salesperson.
1:16
S… Speaker 2 (part 5)
So I've been doing stuff.
1:21
S… Speaker 2 (part 5)
Back in the day,
1:22
S… Speaker 2 (part 5)
when I was a kid.
1:24
S… Speaker 2 (part 5)
Babelates,
1:25
S… Speaker 2 (part 5)
robotics.
1:28
S… Speaker 1 (part 5)
you know, I've sold.
1:29
S… Speaker 1 (part 5)
I've sold
1:33
S… Speaker 1 (part 5)
stuff in the past.
1:35
S… Speaker 2 (part 5)
So,
1:35
S… Speaker 2 (part 5)
I think Adun,
1:37
S… Speaker 2 (part 5)
plus Uber,
1:38
S… Speaker 2 (part 5)
I used to be very much,
1:40
S… Speaker 2 (part 5)
I enjoyed sales,
1:41
S… Speaker 2 (part 5)
because I think a lot of people say sales,
1:44
S… Speaker 2 (part 5)
but sales devalue it.
1:46
S… Speaker 2 (part 5)
I feel that's the best thing that you can do.
1:49
S… Speaker 2 (part 5)
That's the part that I enjoy doing the most.
1:52
S… Speaker 1 (part 5)
Right?
1:52
S… Speaker 2 (part 5)
Because it's sense of accomplishment so many times.
1:55
S… Speaker 2 (part 5)
Every time you close a sale,
1:57
S… Speaker 2 (part 5)
it's an accomplishment.
1:58
S… Speaker 2 (part 5)
Every time you close.
1:59
S… Speaker 1 (part 5)
Right?
2:00
S… Speaker 2 (part 5)
So, I think there is no sitting
2:05
S… Speaker 2 (part 5)
and figuring out.
2:06
S… Speaker 2 (part 5)
I think I've been selling since the childhood.
2:10
S… Speaker 2 (part 5)
And selling is not just selling a product,
2:12
S… Speaker 1 (part 5)
right? Like,
2:13
S… Speaker 2 (part 5)
parents didn't convince me that it was also sales.
2:16
S… Speaker 1 (part 5)
100%.
2:16
S… Speaker 2 (part 5)
Tuition teacher convinced me that it was because of this reason is also sales.
2:21
S… Speaker 2 (part 5)
college professor is also sales.
2:25
S… Speaker 2 (part 5)
Everything is sales is what?
2:27
S… Speaker 2 (part 5)
Like, you being able to put the value out.
2:30
S… Speaker 2 (part 5)
As long as you're able to put the value out,
2:33
S… Speaker 1 (part 5)
it's simple.
2:33
S… Speaker 2 (part 5)
And when I talk to people,
2:34
S… Speaker 2 (part 5)
I usually use the simplest tactic.
2:38
S… Speaker 2 (part 5)
And the tactic is,
2:40
S… Speaker 2 (part 5)
I tell them what I can do.
2:41
S… Speaker 2 (part 5)
Not more,
2:43
S… Speaker 1 (part 5)
not less.
2:44
S… Speaker 2 (part 5)
I don't like negotiation.
2:45
S… Speaker 2 (part 5)
It's no point.
2:48
S… Speaker 1 (part 5)
Right?
2:49
S… Speaker 1 (part 5)
So...
2:50
S… Speaker 2 (part 5)
And that happens when I'm talking to people I know.
2:52
S… Speaker 2 (part 5)
Because they'll trust me when I say that this is it.
2:55
S… Speaker 2 (part 5)
This is the line we're drawing.
2:55
S… Speaker 1 (part 5)
I'm sure you'll never break that.
2:57
S… Speaker 1 (part 5)
It's rational.
3:00
S… Speaker 2 (part 5)
Every time I say this is what we can do.
3:02
S… Speaker 2 (part 5)
I tell why.
3:03
S… Speaker 2 (part 5)
I don't say that I
3:07
S… Speaker 2 (part 5)
just want it.
3:08
S… Speaker 2 (part 5)
I say why.
3:10
S… Speaker 2 (part 5)
One of
3:16
S… Speaker 2 (part 5)
the highest paid people in the world are actually people in sales.
3:22
S… Speaker 2 (part 5)
Because salespeople,
3:23
S… Speaker 2 (part 5)
they don't get paid just for the job.
3:26
S… Speaker 2 (part 5)
They also get paid for the value that they bring in in form of incentives.
3:30
S… Speaker 1 (part 5)
Right, right,
3:30
S… Speaker 1 (part 5)
right. Right.
3:32
S… Speaker 2 (part 5)
And because AI is also talking about it now,
3:34
S… Speaker 2 (part 5)
I'll tell you what,
3:35
S… Speaker 2 (part 5)
the highest paid people in the AI world are going to be salespeople.
3:39
S… Speaker 2 (part 5)
The thing is,
3:46
S… Speaker 2 (part 5)
putting the product in hands of people.
3:48
S… Speaker 2 (part 5)
Who puts the product in hands of people?
3:51
S… Speaker 2 (part 5)
It's the salesperson.
3:52
S… Speaker 1 (part 5)
So how much of this can be automated?
3:54
S… Speaker 1 (part 5)
Sales and a process flow?
3:55
S… Speaker 2 (part 5)
According to you?
3:56
S… Speaker 2 (part 5)
A lot of these things.
3:57
S… Speaker 2 (part 5)
But in the end,
3:58
S… Speaker 2 (part 5)
okay, human kawal.
3:59
S… Speaker 1 (part 5)
Sales close to your land.
4:00
S… Speaker 1 (part 5)
Right?
4:00
S… Speaker 2 (part 5)
That is why it is high.
4:02
S… Speaker 2 (part 5)
So, it's,
4:04
S… Speaker 2 (part 5)
most of the things are automated.
4:06
S… Speaker 2 (part 5)
For example, let's say,
4:07
S… Speaker 2 (part 5)
man, you have a great lead.
4:08
S… Speaker 2 (part 5)
Let's say,
4:09
S… Speaker 1 (part 5)
you have a great lead.
4:10
S… Speaker 2 (part 5)
Let's say, you have a great lead.
4:12
S… Speaker 1 (part 5)
Okay.
4:12
S… Speaker 2 (part 5)
You have to get on a call to even understand
4:16
S… Speaker 2 (part 5)
what legit brands are.
4:17
S… Speaker 2 (part 5)
Are these brands or are these people that we should do work with
4:21
S… Speaker 1 (part 5)
or not?
4:22
S… Speaker 2 (part 5)
For that,
4:23
S… Speaker 2 (part 5)
you need a lot of people.
4:24
S… Speaker 1 (part 5)
Right.
4:25
S… Speaker 2 (part 5)
So instead of having a lot of people to talk to each one of
4:29
S… Speaker 2 (part 5)
them, you just want to create AI agent.
4:31
S… Speaker 2 (part 5)
You use something like Wapi or Retail or
4:35
S… Speaker 2 (part 5)
an app like that.
4:36
S… Speaker 2 (part 5)
AI agent can access your CRM.
4:40
S… Speaker 2 (part 5)
So, every time you get an email,
4:42
S… Speaker 2 (part 5)
you get an email,
4:43
S… Speaker 2 (part 5)
you get an agent,
4:44
S… Speaker 2 (part 5)
you get a sales email,
4:46
S… Speaker 2 (part 5)
you get a pipeline, you get a sales email,
4:48
S… Speaker 2 (part 5)
you get a pipeline,
4:49
S… Speaker 2 (part 5)
you get a lead,
4:51
S… Speaker 2 (part 5)
you add, using,
4:53
S… Speaker 2 (part 5)
again, an MCP or an API integration,
4:56
S… Speaker 2 (part 5)
or you built an agent,
4:57
S… Speaker 2 (part 5)
where you get a lead,
5:00
S… Speaker 2 (part 5)
automatically using a lead call.
5:02
S… Speaker 2 (part 5)
Got it.
5:03
S… Speaker 2 (part 5)
I mean,
5:04
S… Speaker 2 (part 5)
you need an army.
5:07
S… Speaker 1 (part 5)
Skill.
5:08
S… Speaker 2 (part 5)
Yeah. Right.
5:08
S… Speaker 2 (part 5)
So that is where an AI does the call.
5:11
S… Speaker 2 (part 5)
Eventually AI assessment.
5:12
S… Speaker 2 (part 5)
Okay.
5:13
S… Speaker 2 (part 5)
They have the budget.
5:15
S… Speaker 2 (part 5)
It's worth our time.
5:17
S… Speaker 2 (part 5)
Out of that 50 people are the ones that your team will talk
5:21
S… Speaker 1 (part 5)
to. Right.
5:21
S… Speaker 2 (part 5)
Or maybe five people are the ones that your team will talk to,
5:24
S… Speaker 2 (part 5)
which will eventually drive you.
5:26
S… Speaker 2 (part 5)
Let's say a hundred rupees of business.
5:28
S… Speaker 2 (part 5)
In the same month,
5:29
S… Speaker 2 (part 5)
it's better than one -ruple business.
5:31
S… Speaker 2 (part 5)
Because in the same month,
5:33
S… Speaker 2 (part 5)
you will need 25 people,
5:36
S… Speaker 2 (part 5)
or 50 people,
5:36
S… Speaker 2 (part 5)
or 100 people.
5:37
S… Speaker 2 (part 5)
Instead of that,
5:38
S… Speaker 2 (part 5)
you have only one person who's talking to five people,
5:41
S… Speaker 2 (part 5)
who's bringing in the same value.
5:42
S… Speaker 1 (part 5)
Now,
5:43
S… Speaker 2 (part 5)
there are two things that people will look at it.
5:46
S… Speaker 2 (part 5)
Hey, Vamsi,
5:47
S… Speaker 2 (part 5)
I don't know.
5:47
S… Speaker 2 (part 5)
If you don't have a job,
5:49
S… Speaker 2 (part 5)
if you don't have a job,
5:51
S… Speaker 2 (part 5)
if you don't have a P .K .S.
5:52
S… Speaker 2 (part 5)
in AI bed, then you can do it.
5:53
S… Speaker 2 (part 5)
Why don't you do it?
6:04
S… Speaker 2 (part 5)
So if you are a person in
6:09
S… Speaker 2 (part 5)
sales, you have to think about how do I become that two people?
6:13
S… Speaker 2 (part 5)
Because those two people are going
6:17
S… Speaker 1 (part 5)
to get
6:18
S… Speaker 2 (part 5)
10 times or 5 times the value,
6:20
S… Speaker 2 (part 5)
then all these people could get.
6:22
S… Speaker 2 (part 5)
This is low value work.
6:23
S… Speaker 2 (part 5)
This is high value work.
6:25
S… Speaker 2 (part 5)
AI is replacing jobs.
6:27
S… Speaker 2 (part 5)
Low value work is the one that is getting vanished.
6:30
S… Speaker 2 (part 5)
High value work or new approach of work,
6:33
S… Speaker 2 (part 5)
the person who built the system,
6:35
S… Speaker 2 (part 5)
the person who is managing this automation system and
6:39
S… Speaker 2 (part 5)
eventually the person who is taking those 5 calls are valuable
6:43
S… Speaker 1 (part 5)
people.
6:44
S… Speaker 2 (part 5)
Become that.
6:45
S… Speaker 2 (part 5)
This is the example in sales.
6:47
S… Speaker 2 (part 5)
Same example in marketing.
6:48
S… Speaker 2 (part 5)
Same example in product.
6:50
S… Speaker 2 (part 5)
Same example in design.
6:51
S… Speaker 2 (part 5)
Same example in software engineering.
6:53
S… Speaker 2 (part 5)
You don't have this job.
6:55
S… Speaker 2 (part 5)
Low value work will go away.
6:58
S… Speaker 2 (part 5)
High value work will continue to stay.
7:01
S… Speaker 2 (part 5)
That high value will,
7:02
S… Speaker 2 (part 5)
the high value work,
7:03
S… Speaker 2 (part 5)
expectation will be done.
7:05
S… Speaker 2 (part 5)
That is why the orchestration layer
7:09
S… Speaker 2 (part 5)
has to come in as well.
7:10
S… Speaker 2 (part 5)
Also,
7:11
S… Speaker 2 (part 5)
all these AI companies are coming to India.
7:14
S… Speaker 2 (part 5)
Anthropic.
7:16
S… Speaker 2 (part 5)
OpenAI,
7:17
S… Speaker 2 (part 5)
Google,
7:18
S… Speaker 2 (part 5)
one of the largest org sites
7:22
S… Speaker 2 (part 5)
in India is all account executive.
7:24
S… Speaker 2 (part 5)
Account executive,
7:25
S… Speaker 2 (part 5)
their job is to sell.
7:26
S… Speaker 2 (part 5)
They're all sales roles.
7:29
S… Speaker 1 (part 5)
Nice.
7:32
S… Speaker 1 (part 5)
And what do you feel about this AI integrated with hardware?
7:36
S… Speaker 1 (part 5)
What do
7:40
S… Speaker 1 (part 5)
you
7:47
S… Speaker 1 (part 5)
think about it?
7:50
S… Speaker 1 (part 5)
And what's happening in Bangalore?
7:51
S… Speaker 1 (part 5)
Is there anything you are looking at?
7:55
S… Speaker 2 (part 5)
Not anything that is happening in Bangalore that is very exciting
7:59
S… Speaker 2 (part 5)
except for temple that's happening in probably Delhi,
8:02
S… Speaker 2 (part 5)
not in India.
8:04
S… Speaker 2 (part 5)
It's very interesting.
8:06
S… Speaker 2 (part 5)
I think AI hardware and the software on
8:10
S… Speaker 2 (part 5)
the market.
8:10
S… Speaker 2 (part 5)
Because,
8:13
S… Speaker 1 (part 5)
yeah,
8:14
S… Speaker 2 (part 5)
because I mean,
8:16
S… Speaker 2 (part 5)
user.
8:19
S… Speaker 2 (part 5)
We are very used to using a slab of screen.
8:23
S… Speaker 1 (part 5)
Right?
8:24
S… Speaker 2 (part 5)
I think the next wave of communication is going to be without talking.
8:28
S… Speaker 1 (part 5)
Okay.
8:29
S… Speaker 2 (part 5)
So you don't need to talk.
8:30
S… Speaker 2 (part 5)
If you see Dime,
8:34
S… Speaker 2 (part 5)
which is a project name,
8:35
S… Speaker 2 (part 5)
like an internal code name for OpenAI's earpiece.
8:38
S… Speaker 2 (part 5)
It's an external piece,
8:42
S… Speaker 2 (part 5)
which will be here,
8:44
S… Speaker 2 (part 5)
like here.
8:45
S… Speaker 2 (part 5)
It's not blocking your ear completely.
8:46
S… Speaker 2 (part 5)
It's just here.
8:47
S… Speaker 2 (part 5)
Next to your ear.
8:48
S… Speaker 2 (part 5)
Here there is processing.
8:50
S… Speaker 2 (part 5)
Here there is earpiece.
8:51
S… Speaker 2 (part 5)
Where the idea of dime basis of they have
8:55
S… Speaker 2 (part 5)
patents filed.
8:56
S… Speaker 2 (part 5)
Okay.
8:57
S… Speaker 2 (part 5)
They don't know the product.
8:58
S… Speaker 2 (part 5)
Only patent files.
8:59
S… Speaker 2 (part 5)
That basically is a device where you
9:04
S… Speaker 2 (part 5)
just think what you want.
9:07
S… Speaker 2 (part 5)
And the earpiece is the AI
9:12
S… Speaker 2 (part 5)
which talks back to you with the answer.
9:17
S… Speaker 2 (part 5)
Miraki Labs or Mirai Labs or something like that Sam
9:21
S… Speaker 2 (part 5)
Altman invested it's like almost like a co -founder the job of that
9:25
S… Speaker 2 (part 5)
company is to understand what you're thinking based on your brain waves without
9:30
S… Speaker 2 (part 5)
cutting your head and putting a device like neural
9:34
S… Speaker 2 (part 5)
link low but bed quality this is without it's non -invasive
9:40
S… Speaker 2 (part 5)
There's a headset again by a
9:44
S… Speaker 2 (part 5)
US company where it can understand what you're thinking without
9:49
S… Speaker 2 (part 5)
actually having intrusion.
9:52
S… Speaker 2 (part 5)
So let's say you're in a meeting.
9:55
S… Speaker 1 (part 5)
Okay.
10:00
S… Speaker 2 (part 5)
I could not think of the device name.
10:02
S… Speaker 1 (part 5)
Right?
10:03
S… Speaker 1 (part 5)
But you know what it...
10:05
S… Speaker 2 (part 5)
I know what...
10:05
S… Speaker 2 (part 5)
I visually can imagine what that device is.
10:07
S… Speaker 2 (part 5)
I can remember the screen.
10:08
S… Speaker 2 (part 5)
I know what it can do.
10:09
S… Speaker 1 (part 5)
Right?
10:10
S… Speaker 2 (part 5)
Those pictures and that imagination is going into ChatGPT
10:15
S… Speaker 2 (part 5)
model and it's able to say what that device is.
10:18
S… Speaker 2 (part 5)
And it'll talk to me through my ear that you can't hear.
10:23
S… Speaker 1 (part 5)
Right.
10:24
S… Speaker 2 (part 5)
Or let's say,
10:25
S… Speaker 2 (part 5)
I don't know, there's a business problem that I have and you have asked me a very tough question as
10:29
S… Speaker 2 (part 5)
an investor and I can't remember of it.
10:32
S… Speaker 2 (part 5)
I just think,
10:33
S… Speaker 2 (part 5)
what was the data back of my head?
10:35
S… Speaker 2 (part 5)
And it just speaks out because.
10:38
S… Speaker 2 (part 5)
This AI will have integration with my,
10:40
S… Speaker 2 (part 5)
let's say, super join to look into my MIS dashboard to pull the data
10:44
S… Speaker 2 (part 5)
and talk back to me through this.
10:46
S… Speaker 2 (part 5)
So this is the future.
10:49
S… Speaker 2 (part 5)
And Neuralink is already doing that.
10:50
S… Speaker 2 (part 5)
So
10:54
S… Speaker 2 (part 5)
the moment brainwave stuff comes in.
10:56
S… Speaker 2 (part 5)
alter ego is the name of the device.
10:58
S… Speaker 2 (part 5)
I don't have the time,
10:59
S… Speaker 2 (part 5)
but the name of the device is alter ego.
11:01
S… Speaker 1 (part 5)
It's all here.
11:03
S… Speaker 1 (part 5)
It's all here.
11:03
S… Speaker 2 (part 5)
And they also say,
11:06
S… Speaker 2 (part 5)
I think Elon Musk,
11:07
S… Speaker 2 (part 5)
I guess, has said that most of our brains will
11:11
S… Speaker 2 (part 5)
be enhanced by AI.
11:13
S… Speaker 2 (part 5)
So lot of cognitive processing because of AI hardware
11:17
S… Speaker 2 (part 5)
will happen by AI for
11:21
S… Speaker 1 (part 5)
our brain.
11:22
S… Speaker 2 (part 5)
So my brain is a sidekick.
11:27
S… Speaker 2 (part 5)
future tech could be the possibility.
11:30
S… Speaker 2 (part 5)
Now, this dime is an always -on assistant.
11:33
S… Speaker 1 (part 5)
Right.
11:34
S… Speaker 2 (part 5)
Neuralink is able to understand what you want.
11:37
S… Speaker 2 (part 5)
Like, I don't have Diet Coke.
11:38
S… Speaker 1 (part 5)
Okay,
11:39
S… Speaker 2 (part 5)
so I don't have Diet Coke.
11:41
S… Speaker 2 (part 5)
But we are talking.
11:42
S… Speaker 2 (part 5)
So I don't want to pull my phone,
11:43
S… Speaker 2 (part 5)
go to Zepto and do this.
11:45
S… Speaker 2 (part 5)
So I'm just thinking,
11:46
S… Speaker 2 (part 5)
order me a Diet Coke.
11:47
S… Speaker 2 (part 5)
I'm just thinking.
11:48
S… Speaker 2 (part 5)
And I'm at Vamshi's office.
11:50
S… Speaker 2 (part 5)
The address of Vamshi's office in the WhatsApp group.
11:52
S… Speaker 2 (part 5)
I'm just thinking.
11:54
S… Speaker 2 (part 5)
And let's say,
11:57
S… Speaker 2 (part 5)
If I send this message to my open claw,
11:59
S… Speaker 2 (part 5)
it can already do this.
12:00
S… Speaker 2 (part 5)
It can already order Diet Coke via Zepto to this
12:04
S… Speaker 2 (part 5)
home office,
12:04
S… Speaker 2 (part 5)
to this office address by pulling the details from my WhatsApp today.
12:08
S… Speaker 2 (part 5)
It can do that today.
12:09
S… Speaker 1 (part 5)
The sending is going to be replaced.
12:11
S… Speaker 2 (part 5)
But I don't have to type.
12:13
S… Speaker 2 (part 5)
Now I'm thinking.
12:13
S… Speaker 2 (part 5)
I'm thinking because of that implant.
12:17
S… Speaker 2 (part 5)
Are there glasses?
12:18
S… Speaker 2 (part 5)
I think there's some crazy stuff that's happening.
12:20
S… Speaker 1 (part 5)
So,
12:21
S… Speaker 2 (part 5)
Alex Wong,
12:23
S… Speaker 2 (part 5)
when he came to India,
12:24
S… Speaker 2 (part 5)
I had a chance to meet with the Meta team.
12:26
S… Speaker 2 (part 5)
We had breakfast and we spoke a lot about it.
12:28
S… Speaker 2 (part 5)
After that,
12:29
S… Speaker 2 (part 5)
the Meta team showed me the future glass.
12:33
S… Speaker 2 (part 5)
I had a chance to play with it.
12:35
S… Speaker 2 (part 5)
It's insane,
12:36
S… Speaker 2 (part 5)
bro. Future and Deport.
12:39
S… Speaker 1 (part 5)
So,
12:40
S… Speaker 2 (part 5)
I think it's Meta Display 2.
12:41
S… Speaker 2 (part 5)
They have a Orion 2.
12:43
S… Speaker 2 (part 5)
Orion 1 is out.
12:45
S… Speaker 2 (part 5)
Orion 2 this is.
12:47
S… Speaker 2 (part 5)
You can't see it.
12:57
S… Speaker 2 (part 5)
And it looks like a regular Ray -Ban.
13:00
S… Speaker 2 (part 5)
And right now it's all bulked up.
13:02
S… Speaker 2 (part 5)
But you get the point.
13:03
S… Speaker 2 (part 5)
The form factor is going to be like a regular Ray -Ban.
13:05
S… Speaker 2 (part 5)
And there is a band here.
13:09
S… Speaker 2 (part 5)
which reads your blood flow impulse something.
13:12
S… Speaker 1 (part 5)
Okay.
13:12
S… Speaker 1 (part 5)
Okay.
13:13
S… Speaker 2 (part 5)
Then I'll open the screen.
13:15
S… Speaker 2 (part 5)
But I'm navigating
13:19
S… Speaker 1 (part 5)
the screen.
13:20
S… Speaker 1 (part 5)
It's like this.
13:22
S… Speaker 1 (part 5)
It's literally this.
13:24
S… Speaker 2 (part 5)
And then one finger to,
13:27
S… Speaker 2 (part 5)
I forgot the navigation right now.
13:29
S… Speaker 1 (part 5)
It was crazy.
13:30
S… Speaker 1 (part 5)
Right.
13:31
S… Speaker 2 (part 5)
On top of that,
13:32
S… Speaker 2 (part 5)
if you have neural link connection,
13:34
S… Speaker 2 (part 5)
let's say you have something talking directly to your head.
13:38
S… Speaker 2 (part 5)
Your brain is communicating to that screen directly and you have a screen
13:42
S… Speaker 2 (part 5)
in front of you to show you.
13:44
S… Speaker 2 (part 5)
Yeah. Next time,
13:46
S… Speaker 2 (part 5)
on top
13:50
S… Speaker 2 (part 5)
of that,
13:52
S… Speaker 2 (part 5)
with cameras on,
13:53
S… Speaker 2 (part 5)
I can look at anyone and I can say,
13:56
S… Speaker 2 (part 5)
who is this guy?
13:57
S… Speaker 2 (part 5)
It will quickly do a research of who that person is from that picture.
14:01
S… Speaker 2 (part 5)
There's an app called a Sherlock that I created with Elon.
14:03
S… Speaker 1 (part 5)
Okay.
14:04
S… Speaker 2 (part 5)
Now imagine
14:15
S… Speaker 2 (part 5)
there are apps like that all the time.
14:16
S… Speaker 2 (part 5)
Google can do this overnight.
14:18
S… Speaker 2 (part 5)
Meta can do that overnight.
14:19
S… Speaker 2 (part 5)
They have all the data.
14:20
S… Speaker 2 (part 5)
I just look at you.
14:22
S… Speaker 2 (part 5)
I've never met you.
14:23
S… Speaker 2 (part 5)
I know your name.
14:25
S… Speaker 2 (part 5)
I know who you are.
14:26
S… Speaker 2 (part 5)
I know if you're worth me saying hi or not.
14:29
S… Speaker 2 (part 5)
You get my point,
14:31
S… Speaker 2 (part 5)
right? I know your,
14:32
S… Speaker 2 (part 5)
let's say,
14:33
S… Speaker 2 (part 5)
controversy.
14:34
S… Speaker 2 (part 5)
I know the starting points
14:38
S… Speaker 2 (part 5)
that I can have.
14:38
S… Speaker 2 (part 5)
I can just say, hey,
14:39
S… Speaker 2 (part 5)
you know what?
14:40
S… Speaker 2 (part 5)
I watched this episode with the Brahman and them,
14:42
S… Speaker 1 (part 5)
sir. It was hilarious.
14:43
S… Speaker 2 (part 5)
I just saw everything.
14:47
S… Speaker 2 (part 5)
I just got to know everything about you.
14:48
S… Speaker 1 (part 5)
It's a screen.
14:50
S… Speaker 2 (part 5)
It's a camera.
14:50
S… Speaker 2 (part 5)
It talks to each other.
14:52
S… Speaker 2 (part 5)
This is future of AI.
14:53
S… Speaker 2 (part 5)
I mean, this is hardware.
14:54
S… Speaker 2 (part 5)
On top of that,
14:56
S… Speaker 2 (part 5)
there are a lot of devices that have come in,
14:58
S… Speaker 2 (part 5)
which I use.
15:00
S… Speaker 1 (part 5)
Also, which literally records everything
15:04
S… Speaker 1 (part 5)
that I do on a every single day basis.
15:06
S… Speaker 1 (part 5)
Audio.
15:06
S… Speaker 2 (part 5)
Audio.
15:07
S… Speaker 1 (part 5)
Okay. Transcribes that.
15:09
S… Speaker 1 (part 5)
Dan Koka notes.
15:11
S… Speaker 1 (part 5)
Okay, RAG model is basically an assistant with
15:15
S… Speaker 1 (part 5)
all this data.
15:16
S… Speaker 1 (part 5)
So I can literally ask questions.
15:17
S… Speaker 1 (part 5)
What are some interesting
15:21
S… Speaker 1 (part 5)
ideas that we discuss?
15:22
S… Speaker 2 (part 5)
Any language you can record.
15:23
S… Speaker 1 (part 5)
Yeah, language is not a problem.
15:25
S… Speaker 2 (part 5)
What is it called?
15:26
S… Speaker 1 (part 5)
There are a bunch of them.
15:28
S… Speaker 1 (part 5)
One is called Rewind.
15:29
S… Speaker 2 (part 5)
And then they lock it up?
15:31
S… Speaker 1 (part 5)
Yeah.
15:32
S… Speaker 1 (part 5)
It's like a locket.
15:33
S… Speaker 1 (part 5)
It plugs in here.
15:34
S… Speaker 1 (part 5)
There's an Indian company called a bag.
15:36
S… Speaker 1 (part 5)
There's an Indian company,
15:37
S… Speaker 1 (part 5)
which usually I use it in the office only because breach of privacy for others.
15:41
S… Speaker 1 (part 5)
In the office, there's no place where it is.
15:43
S… Speaker 1 (part 5)
Plus,
15:44
S… Speaker 1 (part 5)
there's no light.
15:44
S… Speaker 2 (part 5)
So,
15:45
S… Speaker 1 (part 5)
they know if it's getting recorded.
15:46
S… Speaker 1 (part 5)
So, if they're coming into my room,
15:47
S… Speaker 1 (part 5)
it's getting recorded.
15:48
S… Speaker 2 (part 5)
So,
15:49
S… Speaker 1 (part 5)
if you say I need to do this,
15:51
S… Speaker 1 (part 5)
I will do this by Friday,
15:52
S… Speaker 1 (part 5)
boss.
15:52
S… Speaker 1 (part 5)
I'm not forgetting.
15:53
S… Speaker 1 (part 5)
You're locked.
15:53
S… Speaker 1 (part 5)
I'm not forgetting.
15:55
S… Speaker 1 (part 5)
Right.
15:56
S… Speaker 1 (part 5)
But meeting assistants and all are very common these days.
15:59
S… Speaker 1 (part 5)
But it's a world of interconnectedness.
16:02
S… Speaker 1 (part 5)
Hardware,
16:04
S… Speaker 1 (part 5)
software, any plug -in.
16:06
S… Speaker 2 (part 5)
Crazy as well.
16:07
S… Speaker 1 (part 5)
Yeah.
16:07
S… Speaker 2 (part 5)
Last podcast,
16:08
S… Speaker 2 (part 5)
I mean,
16:09
S… Speaker 2 (part 5)
I was,
16:10
S… Speaker 2 (part 5)
I didn't have a podcast,
16:12
S… Speaker 2 (part 5)
almost two,
16:12
S… Speaker 2 (part 5)
three weeks back, where you mentioned AI
16:16
S… Speaker 2 (part 5)
models know when you're testing it,
16:18
S… Speaker 2 (part 5)
so they behave differently.
16:19
S… Speaker 1 (part 5)
Yeah.
16:20
S… Speaker 2 (part 5)
What do you mean by that?
16:22
S… Speaker 1 (part 5)
So, again...
16:23
S… Speaker 2 (part 5)
And you also mentioned that AI is threatening or blackmailing us.
16:27
S… Speaker 2 (part 5)
Yeah, yeah,
16:28
S… Speaker 1 (part 5)
yeah. So,
16:29
S… Speaker 1 (part 5)
these are all closed room studies.
16:32
S… Speaker 1 (part 5)
So, safety,
16:34
S… Speaker 1 (part 5)
safety, safety.
16:34
S… Speaker 1 (part 5)
They are
16:39
S… Speaker 1 (part 5)
becoming so smart.
16:40
S… Speaker 1 (part 5)
That,
16:42
S… Speaker 1 (part 5)
do we know they will not kill you?
16:45
S… Speaker 1 (part 5)
Is a big fundamental question.
16:47
S… Speaker 1 (part 5)
Not kill you,
16:48
S… Speaker 1 (part 5)
will they harm you?
16:49
S… Speaker 1 (part 5)
Not kill you,
16:50
S… Speaker 1 (part 5)
kill you.
16:51
S… Speaker 1 (part 5)
But they can.
16:52
S… Speaker 1 (part 5)
They have the potential.
16:54
S… Speaker 1 (part 5)
They have the power.
16:55
S… Speaker 1 (part 5)
But can they?
16:57
S… Speaker 1 (part 5)
Will they?
16:58
S… Speaker 1 (part 5)
If it comes to it.
17:00
S… Speaker 1 (part 5)
If they are pushed to the corner.
17:01
S… Speaker 1 (part 5)
It's called alignment.
17:03
S… Speaker 1 (part 5)
AI alignment concept is your AI aligned.
17:07
S… Speaker 1 (part 5)
Is your AI doing what it is supposed to do?
17:11
S… Speaker 1 (part 5)
In the simplest way.
17:13
S… Speaker 1 (part 5)
It's smart,
17:17
S… Speaker 1 (part 5)
but is it a good boy or a bad boy?
17:19
S… Speaker 1 (part 5)
Is the AI aligned or not?
17:21
S… Speaker 1 (part 5)
Aligned AI does what you want it to do.
17:24
S… Speaker 1 (part 5)
A misaligned AI does what it wants to do.
17:28
S… Speaker 1 (part 5)
So for example,
17:32
S… Speaker 1 (part 5)
In studies,

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