00:00:00
The moment I had where I became
00:00:02
clawpilled, I was like, "Hey, I want to
00:00:04
build my network. I know these 20 people
00:00:06
in Japan. I had dinner with them during
00:00:07
my recent trip. I want to know who they
00:00:09
know. So, check out LinkedIn and other
00:00:11
things and who they're associated with
00:00:13
and make me like a mind map of it. And
00:00:14
then the next trip, I want to meet with
00:00:17
the next circle of those connections."
00:00:19
She's like, "Okay, I got the results."
00:00:20
And they said, "Where do you want me to
00:00:22
put them?" I was like, "Well, where can
00:00:23
you put them?" And it said, "I could put
00:00:24
it in a Google sheet. I could put it in
00:00:25
a notion table. I could put it here. I
00:00:26
could give you a PDF. I can give you a
00:00:27
CSV file. or I could write you a CRM.
00:00:30
And I was like, "Yeah, sure. Make me a
00:00:31
CRM system." And it made me a CRM
00:00:34
system. I think maybe one out of a
00:00:35
thousand people working with AI have had
00:00:37
that experience. Maybe it's one in
00:00:39
10,000 where your agent says, "I'll make
00:00:42
you bespoke software. The context is so
00:00:44
good because the memory is getting
00:00:46
better." Yeah.
00:00:47
>> When did that happen?
00:00:49
>> I think it it happened with Opus4. That
00:00:51
was the inflection point when models
00:00:54
started being amazingly good at
00:00:55
orchestration and reasoning and tool
00:00:57
calls. the model started becoming very
00:00:59
good at handling the context. So the
00:01:02
context window no longer became a
00:01:03
problem and that made it like suddenly
00:01:05
so good at doing very long orchestration
00:01:09
tasks.
