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- Join us as we gather around the hedge,

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- where we dig into technology,

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- business, and culture with the finest minds in

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- computer networking.

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- Well, hello, Tom. I am very happy to

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- see that you have stuff on your whiteboard

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- today.

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- Yeah. Doing some projects. Working in the real

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- world. This isn't, you know, software stuff going

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- on here.

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- And Audrey, Audrey's doing well. I know that

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- Yvonne is sitting there thinking,

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- I need to go and fix this plant.

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- No. No. No. It's a really good plant.

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- I do have a

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- new peace lily behind me.

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- We we had a freeze earlier this year.

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- My different Bachia didn't survive, and so I

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- now have a start of your peace lily

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- back there that is yet to be named,

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- but, it's thriving. It's been there a few

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- months and thriving quite well. So

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- I'm a decent plant parent.

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- And today, we are joined by Mike Bouchong,

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- who I believe is in are you at

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- home? Mike, are you in California? I am.

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- I am. I'm in San Diego, six blocks

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- from the water,

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- a few hours from the weekend. Do not

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- be jelly.

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- We will do our best, but no promises.

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- Yeah. Exactly.

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- Yeah.

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- Yeah. So alright. So we started this conversation

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- talking about

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- AI as always because that's, like, the big

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- topic everybody's really crazy about.

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- And,

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- Yvonne, you were saying you were at KYNOG,

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- and what was your impressions

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- of KYNOG

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- and AI?

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- Well, I think

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- so, you know, I'm I'm in a world

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- as a leader, and I'm a leader of

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- infrastructure people at

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- most forward thinking AI folks in the world

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- are doing. And, you know, we have we

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- have,

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- managers that are building agents to to do

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- forecast and that are you know, so it's

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- it's

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- we've got a lot of agentic development going

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- on and lots of new training going on.

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- And so

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- and I and I guess what I was

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- surprised to see

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- is the huge chasm that exists between that

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- world

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- and what a lot of folks

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- in

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- enterprise network engineering understand

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- AI to be, which

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- is basically

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- a chatbot and a meme generator. And I

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- think there's this

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- the way I've said it is the chasm

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- is bigger than I've ever seen it in

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- my career

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- between what is emerging and what the the,

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- you know, frontier capabilities are

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- and what, like, the rank and file technologists

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- understand them to be. And so I'm I

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- I I've told a lot of people this.

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- I'm still trying to make sense of it.

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- Like, I don't have a a coherent

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- philosophy or or even thought about it yet,

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- but it's,

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- the gap is significant.

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- Okay.

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- And

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- I don't know. My my own impression is

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- that's true.

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- And some of that is

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- because

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- people honestly just don't know what to do

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- with it yet.

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- They're just honestly they're like

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- and when they try it, by the way,

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- the times that I've tried it,

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- they don't spend enough time learning how to

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- use it,

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- and they get frustrated because it doesn't do

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- what they want it to do.

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- Like, I I've I've seen this in the

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- open source world

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- where people will use AI

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- to build something,

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- and then it doesn't build quite the way

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- they like or it's total garbage in all

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- honesty.

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- And then they just say, well, this is

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- just like, whatever. Go away. I don't even

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- care about that. Okay.

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- You know? I'll I'll come back to it

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- when it's actually

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- real without realizing that there's a much more

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- nuanced approach

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- to these technologies

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- that might be useful.

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- So, Tom, any thoughts? I've I've noticed, it

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- they they're definitely the minority, but I've noticed

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- a couple of infrastructure engineers that have really,

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- figured out that they want to

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- embrace it and start using, like, it's not

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- just, it's not just a chatbot, but but

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- that's definitely the the minority

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- of network engineers that I know. But but

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- there are some of them.

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- It feels in some ways like

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- like,

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- you know, just another tool

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- to a lot of engineers, I think.

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- And they see it as sort of a

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- smart tool, but my old tool works. So

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- I'm gonna keep doing it till someone forces

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- me. And all we hear in the news,

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- it seems like, is mandates for AI. And

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- if your company is not doing the mandates,

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- they probably will soon. So I'll just wait.

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- You know? Seems to be a seems to

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- be a one of the sentiments. Interesting. Alright.

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- So, Mike,

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- finally,

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- Mike's been sitting there patiently.

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- He's he's itching. He's ready to go.

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- So many thoughts.

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- So if I look at, like, AI generally,

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- it's it's pitched depending on who pitches it.

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- Right? It's pitched as a panacea,

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- you know, a transformation thing. It's,

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- you know, the future. It's the way the

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- the next wave of whatever. It can be

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- tool to productivity. It could be a tool

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- to, you know, massive job loss.

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- It's sort of, you know, depending on who

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- has the the microphone at the moment.

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- It's, you know, whatever you want it to

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- be.

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- When you look at, like, network engineering,

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- it's meant to be, like, maybe it's the

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- great equalizer.

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- Right? Maybe it's,

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- it's gonna, you know, remove the toil from

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- the job.

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- Right? And so there's expectations that you're, you

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- know, wildly more efficient or maybe you get,

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- you know, kind of expert level insight that's

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- at your fingertips. And so I think when

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- people talk about, you know, what's gonna happen,

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- it's

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- you know, that your expectations are that it

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- has to be transformative

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- for you to have any experience with it.

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- And when your ex when your expectation is

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- that it's gonna be transformative and then your

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- first contact is that it's, you know,

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- a bit mid,

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- my 14 year old twin boys will be

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- happy that I'm working their vernacular into our

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- the,

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- then then what happens is you you draw,

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- like, an initial conclusion. That conclusion might not

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- even be right, but I think what it

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- does is it sets you down a path.

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- I'll give you, like, really easy examples.

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- You know, a year and a half ago,

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- they or maybe two years ago, you know,

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- all of the dialogue was around, you know,

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- AI and hallucinations. Well, there was an entire

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- wave of people

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- who adopted that. You know, they've ignored

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- follow on, you know, iterations in the space.

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- And so, you know, what was a problem

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- then? It's still a problem in some cases,

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- by the way. But but that problem is

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- less pronounced today than it was, you know,

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- maybe two years ago. But because your expectations

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- were set and then your first experience was

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- was thus,

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- and therefore, you kind of rewrite it off.

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- And so you see waves of people who

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- disengage. And and so then when those waves

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- eventually, you know, crash on the shore, yeah,

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- you've left some people behind.

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- Now I'll wrap this up in a in

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- a kind of a an interesting p or

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- I think it's interesting. I guess I shouldn't

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- speak for the audience's

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- behalf. But,

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- so, Lizanne Bainbridge in in the early eighties,

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- she actually was working in automation, not in

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- network automation, but in sort of the more

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- generalized automation.

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- And she trained she called, a thing that

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- the transition paradox. And the idea behind automation

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- was that,

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- if automation is gonna make you faster, right,

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- the the the,

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- the the the paradox there is that you

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- actually go slower when you first use it

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- because it's new methods, it's new tools, you

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- have to build things up. And so you

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- have an expectation of speed, but you have

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- a a realized

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- experience

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- of of of it being slow.

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- It was supposed to, you know, kind of

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- save a bunch of money. People were supposed

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- to unlock, you know, lots of TCO or

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- OPEX or, you know, whatever.

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- And then you find out that, you know,

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- in the first in the opening,

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- you know, days, weeks, months, quarters,

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- it actually cost you more. Because you gotta

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- do what you were doing before. There's no

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- savings, but you're doing the new thing next

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- to it. So you hire people in. Your

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- costs go up. And and then finally, you

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- have this expectation that if it's automated, it's

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- gonna be more correct. I'm gonna make fewer

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- mistakes. I'm gonna drive fault out of the

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- system. But what you see is because you're

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- introducing new tools and methods that you actually

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- take things that used to work with their

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- mops and sops or whatever, and then all

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- of a sudden, you know, through automation, it

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- doesn't work as well. And so this transition

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- paradox is that all the things that you

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- expect, all the value you expect it to

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- deliver, it doesn't it doesn't actually deliver.

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- Now if you take a workforce and you

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- say that that's true across individuals, not just

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- companies, and they have these expectations,

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- and then when their first experience isn't great,

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- you know, then what you see is people

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- disengage because none of these things are true.

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- For me, the question is not so much

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- of how do you get people into AI.

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- It's how you correctly set expectations in both

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- the short and the long term,

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- and then allow people to to tolerate or

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- even to lean into

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- the transition that they have to go through,

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- you know, learning it and applying it in

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- different ways and then, you know, sort of

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- mastering it over time.

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- And so then and then here's my thrilling

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- conclusion is now in the AI space, you

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- have this wave of people who've gone through

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- that mastery. And so they're, like, so far

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- ahead of everyone else who kind of had

263
00:09:12.264 --> 00:09:13.245
- the first contact.

264
00:09:13.625 --> 00:09:15.945
- And so to Yvonne's point, like, I there

265
00:09:15.945 --> 00:09:17.625
- there is a chasm, and I would argue

266
00:09:17.625 --> 00:09:19.245
- that it's it's widening.

267
00:09:20.585 --> 00:09:22.345
- And the the interesting thing is that the

268
00:09:22.345 --> 00:09:24.879
- longer this goes, at some point, you're gonna

269
00:09:24.879 --> 00:09:27.120
- have an entire generation of people who are

270
00:09:27.120 --> 00:09:29.600
- gonna declare that that gap is too wide

271
00:09:29.600 --> 00:09:30.659
- for me to cross,

272
00:09:31.279 --> 00:09:33.199
- and so you're gonna strand them. And so

273
00:09:33.199 --> 00:09:34.559
- to me, that this is gonna be the

274
00:09:34.559 --> 00:09:37.120
- challenge of our of this generation. It's gonna

275
00:09:37.120 --> 00:09:38.559
- be how do you like, do you leave

276
00:09:38.559 --> 00:09:39.379
- people behind?

277
00:09:40.934 --> 00:09:43.175
- But we can't hire enough people to to

278
00:09:43.175 --> 00:09:45.014
- to make it work otherwise. And so, like,

279
00:09:45.014 --> 00:09:47.115
- like, that to me, that is the problem.

280
00:09:47.894 --> 00:09:48.394
- Interesting.

281
00:09:48.774 --> 00:09:50.235
- So how does this

282
00:09:50.934 --> 00:09:53.735
- relate to automation? Or because it seems to

283
00:09:53.735 --> 00:09:55.980
- me that networks still aren't automated,

284
00:09:56.600 --> 00:09:57.820
- much less AI.

285
00:09:58.440 --> 00:09:59.500
- Like, people

286
00:09:59.959 --> 00:10:02.120
- a lot of networks only, what, 50 or

287
00:10:02.120 --> 00:10:04.059
- what what was the latest number? Does anybody

288
00:10:04.440 --> 00:10:05.980
- remember the automation?

289
00:10:06.634 --> 00:10:08.875
- If you take the high the the the

290
00:10:08.875 --> 00:10:10.254
- the outliers and the hyperscales,

291
00:10:11.195 --> 00:10:13.274
- most people in data center would put automation,

292
00:10:13.274 --> 00:10:14.815
- you know, somewhere in the mid twenties.

293
00:10:15.674 --> 00:10:18.394
- Yeah. And that's that's Gartner is the most

294
00:10:18.394 --> 00:10:20.235
- bullish, and Gartner would say that, you know,

295
00:10:20.235 --> 00:10:22.809
- two thirds of companies will be or 70%

296
00:10:22.809 --> 00:10:25.149
- of companies will be less than 50% automated

297
00:10:25.769 --> 00:10:27.710
- by, you know, 2027.

298
00:10:28.410 --> 00:10:31.929
- That's see, that's insane. That's just absolutely that's

299
00:10:31.929 --> 00:10:32.429
- insane.

300
00:10:32.809 --> 00:10:34.910
- We should be much more automated.

301
00:10:35.465 --> 00:10:38.425
- And then the other thing that I often

302
00:10:38.425 --> 00:10:40.684
- wonder about is our approach to AI

303
00:10:41.384 --> 00:10:42.285
- and automation

304
00:10:42.825 --> 00:10:44.745
- has been much more you need to go

305
00:10:44.745 --> 00:10:47.085
- build this. And by the way, that's partly

306
00:10:47.225 --> 00:10:48.445
- industry's fault.

307
00:10:49.440 --> 00:10:51.220
- That that is partly the fault

308
00:10:51.600 --> 00:10:52.100
- of

309
00:10:52.720 --> 00:10:54.019
- vendors and

310
00:10:54.639 --> 00:10:55.860
- standards organizations

311
00:10:56.639 --> 00:10:59.220
- who all want to be the standard

312
00:11:00.159 --> 00:11:00.980
- or differentiating

313
00:11:01.440 --> 00:11:01.940
- themselves

314
00:11:02.705 --> 00:11:04.804
- so that they can say,

315
00:11:05.184 --> 00:11:05.845
- you know,

316
00:11:06.465 --> 00:11:08.465
- buy me or use me or whatever the

317
00:11:08.465 --> 00:11:10.705
- case might be. Pick me kind of a

318
00:11:10.705 --> 00:11:11.205
- thing.

319
00:11:11.904 --> 00:11:14.384
- That's to some degree, that is true. And

320
00:11:14.384 --> 00:11:15.445
- so there is some

321
00:11:16.225 --> 00:11:17.610
- some sense in which

322
00:11:18.809 --> 00:11:20.589
- when you go into this stuff,

323
00:11:20.889 --> 00:11:22.589
- it feels very sloppy

324
00:11:22.970 --> 00:11:24.829
- to me. Even automation,

325
00:11:25.209 --> 00:11:26.110
- it's very

326
00:11:26.490 --> 00:11:28.089
- I've got to sit down and figure it

327
00:11:28.089 --> 00:11:28.589
- out.

328
00:11:29.129 --> 00:11:31.070
- There's no there's no easy way

329
00:11:31.690 --> 00:11:32.909
- for me to do this

330
00:11:33.464 --> 00:11:35.544
- in in any way or shape, which is

331
00:11:35.544 --> 00:11:37.644
- why the public cloud service versions,

332
00:11:38.345 --> 00:11:39.884
- you know, Grok and

333
00:11:40.904 --> 00:11:43.144
- Copilot and all the others that are run

334
00:11:43.144 --> 00:11:45.704
- out there are so popular in this space,

335
00:11:45.704 --> 00:11:48.264
- and that's why people have that impression. It

336
00:11:48.264 --> 00:11:48.600
- takes

337
00:11:49.159 --> 00:11:51.720
- I I I have a Quincoder as everyone

338
00:11:51.720 --> 00:11:53.959
- who listens to this podcast knows. It's sitting

339
00:11:53.959 --> 00:11:56.120
- right over there. I have a Linux box

340
00:11:56.120 --> 00:11:57.019
- running Quincoder

341
00:11:57.639 --> 00:11:58.379
- on a llama,

342
00:11:59.000 --> 00:12:01.000
- and it took me two days just to

343
00:12:01.000 --> 00:12:01.500
- get

344
00:12:02.115 --> 00:12:05.014
- Visual Studio code connected to the Quinn server

345
00:12:06.355 --> 00:12:07.875
- so that I could do use it as

346
00:12:07.875 --> 00:12:09.174
- a tool for code reviews.

347
00:12:09.875 --> 00:12:10.375
- Like,

348
00:12:10.835 --> 00:12:13.634
- that's people aren't gonna do that. That's just

349
00:12:13.634 --> 00:12:15.014
- not that's not gonna happen.

350
00:12:16.389 --> 00:12:18.870
- So I don't The analogy that I've that

351
00:12:18.870 --> 00:12:21.529
- I've used, and I think the the industry

352
00:12:22.070 --> 00:12:24.490
- is a little bit too focused

353
00:12:24.790 --> 00:12:25.290
- on

354
00:12:26.230 --> 00:12:28.870
- this moment instead of taking a longer term

355
00:12:28.870 --> 00:12:30.889
- approach. And one of the things that

356
00:12:31.214 --> 00:12:33.454
- that I see in my world anyway is

357
00:12:33.454 --> 00:12:35.134
- that it is a great time to be

358
00:12:35.134 --> 00:12:35.875
- a cowboy.

359
00:12:36.334 --> 00:12:38.654
- Like, it is a great time to be

360
00:12:38.654 --> 00:12:39.394
- the person

361
00:12:39.934 --> 00:12:41.235
- who wants to just

362
00:12:41.934 --> 00:12:44.095
- ride in and play with all the new

363
00:12:44.095 --> 00:12:47.169
- things and try them out and throw stuff

364
00:12:47.169 --> 00:12:49.269
- against the wall and see what sticks.

365
00:12:49.889 --> 00:12:50.709
- And I think

366
00:12:51.250 --> 00:12:54.629
- the the industry in this moment recognizes that.

367
00:12:57.169 --> 00:12:59.250
- But what we're doing is we're also, in

368
00:12:59.250 --> 00:13:01.665
- some ways, devaluing the people who work as

369
00:13:01.665 --> 00:13:02.485
- city planners,

370
00:13:03.184 --> 00:13:05.024
- who go in and take a look at

371
00:13:05.024 --> 00:13:06.485
- everything and go, okay.

372
00:13:07.105 --> 00:13:09.125
- Here's how we build a thing

373
00:13:09.745 --> 00:13:10.565
- that's durable,

374
00:13:10.945 --> 00:13:12.485
- that people can use,

375
00:13:12.889 --> 00:13:14.330
- that where they can get from point a

376
00:13:14.330 --> 00:13:16.490
- to point b. Now granted, when we look

377
00:13:16.490 --> 00:13:18.730
- at AI as an industry, like, we are

378
00:13:18.730 --> 00:13:20.649
- we are Lewis and Clark standing East Of

379
00:13:20.649 --> 00:13:23.529
- The Mississippi looking West. Right? We don't really

380
00:13:23.529 --> 00:13:25.945
- know exactly what's out there. We know it's

381
00:13:25.945 --> 00:13:28.184
- something. We're pretty sure it's got a ton

382
00:13:28.184 --> 00:13:30.424
- of value with it, but, like, there's a

383
00:13:30.424 --> 00:13:33.485
- lot of dangerous stuff between here and there.

384
00:13:33.945 --> 00:13:36.345
- And we need people with the personality type

385
00:13:36.345 --> 00:13:37.769
- that are gonna go explore that.

386
00:13:38.410 --> 00:13:40.570
- But what I'm also seeing is, like, we're

387
00:13:40.570 --> 00:13:42.429
- taking people that are more,

388
00:13:43.050 --> 00:13:43.950
- maybe structured,

389
00:13:44.649 --> 00:13:47.149
- less risk averse, and and

390
00:13:47.529 --> 00:13:50.330
- they're not sure where their place is going

391
00:13:50.330 --> 00:13:51.945
- to be in this new world. I think

392
00:13:51.945 --> 00:13:54.205
- what I would argue is that we're absolutely

393
00:13:54.345 --> 00:13:56.345
- going to need them and need that skill

394
00:13:56.345 --> 00:13:57.644
- set and need that mindset.

395
00:13:58.504 --> 00:14:01.144
- We're just not there yet. And and I

396
00:14:01.144 --> 00:14:01.644
- think,

397
00:14:02.024 --> 00:14:04.925
- like, we're being too shortsighted as an industry

398
00:14:05.240 --> 00:14:07.159
- in how we're thinking about that. Because at

399
00:14:07.159 --> 00:14:09.639
- some point, you gotta structure some of this

400
00:14:09.639 --> 00:14:10.139
- stuff

401
00:14:10.440 --> 00:14:12.699
- because, first of all, everybody's not a cowboy.

402
00:14:12.839 --> 00:14:15.159
- And if you put cowboys in shot, in

403
00:14:15.159 --> 00:14:17.319
- charge, lots of people get shot in the

404
00:14:17.319 --> 00:14:19.399
- street. And it's it's it's no way to

405
00:14:19.399 --> 00:14:20.554
- live. Right?

406
00:14:21.495 --> 00:14:24.774
- So anyway, I probably overdid that analogy, but

407
00:14:24.774 --> 00:14:27.014
- that's kinda how I've been thinking about it.

408
00:14:27.014 --> 00:14:29.335
- No. No. Well, it's interesting because the governance

409
00:14:29.335 --> 00:14:31.014
- piece of this is something that really should

410
00:14:31.014 --> 00:14:33.095
- worry us. Like, I'm sitting here looking at

411
00:14:33.095 --> 00:14:35.230
- this article on Shire on Security, and he's

412
00:14:35.230 --> 00:14:37.490
- talking about a German court ruling

413
00:14:38.029 --> 00:14:41.070
- that Google is liable for its AI searching

414
00:14:41.870 --> 00:14:42.370
- search,

415
00:14:42.990 --> 00:14:43.490
- summaries.

416
00:14:44.590 --> 00:14:46.910
- And we don't think about okay. I use

417
00:14:46.910 --> 00:14:48.129
- an AI tool

418
00:14:48.509 --> 00:14:49.250
- to build,

419
00:14:50.295 --> 00:14:51.995
- to to filter my telemetry.

420
00:14:52.934 --> 00:14:54.934
- And I don't notice that something goes wrong

421
00:14:54.934 --> 00:14:57.035
- because the AI tool doesn't find it.

422
00:14:57.654 --> 00:14:59.335
- And all of a sudden, the network goes

423
00:14:59.335 --> 00:15:00.394
- down and customers

424
00:15:00.774 --> 00:15:02.315
- lose you know, my customers

425
00:15:02.615 --> 00:15:04.019
- lose whatever they lose.

426
00:15:04.820 --> 00:15:06.660
- And everybody wants to point back to the

427
00:15:06.660 --> 00:15:09.059
- AI and say, oh, the tool broke. The

428
00:15:09.059 --> 00:15:11.220
- tool broke. Yeah. But see, that's not gonna

429
00:15:11.220 --> 00:15:13.860
- be acceptable in the business world. That kind

430
00:15:13.860 --> 00:15:16.340
- of governance is not going to be acceptable

431
00:15:16.340 --> 00:15:17.080
- in the business

432
00:15:17.625 --> 00:15:19.165
- world. There's going to have to be

433
00:15:19.545 --> 00:15:20.045
- accountability.

434
00:15:21.144 --> 00:15:23.065
- And this is where you were talking about,

435
00:15:23.065 --> 00:15:24.045
- Mike, about hallucination

436
00:15:24.504 --> 00:15:27.545
- hallucinizations and stuff. That's, I think, where people

437
00:15:27.545 --> 00:15:28.045
- worry

438
00:15:28.504 --> 00:15:29.804
- about that kind of thing.

439
00:15:31.139 --> 00:15:32.419
- I I don't know how to solve it

440
00:15:32.419 --> 00:15:33.240
- though, unfortunately.

441
00:15:35.779 --> 00:15:37.779
- So Do you think, I'm I'm curious, Mike.

442
00:15:37.779 --> 00:15:39.700
- Do you think we're how close are we

443
00:15:39.700 --> 00:15:41.460
- to the point where someone says, okay. We

444
00:15:41.460 --> 00:15:43.320
- can't really be spending all this money,

445
00:15:43.664 --> 00:15:45.504
- and we're gonna have to scale way back.

446
00:15:45.504 --> 00:15:47.825
- Have we have we started to approach that

447
00:15:47.825 --> 00:15:50.164
- yet? Or, where where is that?

448
00:15:51.345 --> 00:15:51.845
- We're

449
00:15:52.304 --> 00:15:54.464
- we're there at at almost every part of

450
00:15:54.464 --> 00:15:56.759
- the of the industry. So if you look

451
00:15:56.759 --> 00:15:57.420
- at news

452
00:15:58.360 --> 00:16:01.000
- even over the last week, right, the the

453
00:16:01.000 --> 00:16:01.899
- major hyperscales,

454
00:16:02.440 --> 00:16:04.379
- so just to give you some some numbers,

455
00:16:04.920 --> 00:16:05.420
- CapEx

456
00:16:05.800 --> 00:16:06.300
- across,

457
00:16:07.080 --> 00:16:08.860
- Google, Microsoft, Meta,

458
00:16:09.634 --> 00:16:10.774
- Amazon, and Oracle

459
00:16:11.154 --> 00:16:12.774
- was, like, 250,000,000,000

460
00:16:12.835 --> 00:16:14.054
- in 2024,

461
00:16:14.434 --> 00:16:16.355
- and it'll be over 750,000,000,000

462
00:16:16.355 --> 00:16:17.014
- this year.

463
00:16:17.715 --> 00:16:20.035
- Like and that's approaching, you know, a trillion

464
00:16:20.035 --> 00:16:22.120
- probably over the next two years. And so

465
00:16:22.120 --> 00:16:23.600
- the question is, is there enough money to

466
00:16:23.600 --> 00:16:25.440
- sustain that kind of investment? And that's in,

467
00:16:25.440 --> 00:16:26.800
- like, the ones that probably have the most

468
00:16:26.800 --> 00:16:29.059
- clear path to monetization, by the way.

469
00:16:29.759 --> 00:16:31.779
- When you start lumping in, like, an anthropic

470
00:16:31.840 --> 00:16:32.660
- or an OpenAI,

471
00:16:33.120 --> 00:16:35.300
- those numbers obviously go up. If you start

472
00:16:35.434 --> 00:16:36.875
- moving down even a little bit from there

473
00:16:36.875 --> 00:16:38.554
- into the NeoCloud space, you know, it goes

474
00:16:38.554 --> 00:16:39.375
- up even further.

475
00:16:39.995 --> 00:16:41.355
- And people are trying to figure out right

476
00:16:41.355 --> 00:16:42.414
- now, how do you monetize?

477
00:16:43.274 --> 00:16:44.654
- If you look at different numbers,

478
00:16:45.034 --> 00:16:47.754
- depending on sort of which week and who

479
00:16:47.754 --> 00:16:49.730
- did the poll, you know, people will tell

480
00:16:49.730 --> 00:16:51.970
- you that that north of 80% of enterprise

481
00:16:51.970 --> 00:16:53.809
- AI projects are failing. Some will say that

482
00:16:53.809 --> 00:16:55.589
- put the failure rate north 90%.

483
00:16:55.970 --> 00:16:57.889
- And so people are this is actually Yvonne's

484
00:16:57.889 --> 00:16:59.970
- comment about the cowboys. People are are and

485
00:16:59.970 --> 00:17:02.070
- this is not just, obviously, network automation.

486
00:17:02.595 --> 00:17:04.214
- This is, you know, sort of the whole

487
00:17:04.355 --> 00:17:06.855
- AI arena. People are are cowboying

488
00:17:07.154 --> 00:17:09.794
- their way through, and not everything is succeeding.

489
00:17:09.794 --> 00:17:11.734
- And then you're seeing companies claw back

490
00:17:12.434 --> 00:17:14.275
- the the the money. And and so I

491
00:17:14.275 --> 00:17:16.740
- think we're we're there now. There will be

492
00:17:16.740 --> 00:17:17.960
- expectation of ROI.

493
00:17:18.820 --> 00:17:20.279
- You know, I would say,

494
00:17:20.660 --> 00:17:22.660
- you know, some of it's happened already. Some

495
00:17:22.660 --> 00:17:24.099
- of it will happen, you know, over the

496
00:17:24.099 --> 00:17:26.340
- next, you know, six to twelve months. And

497
00:17:26.340 --> 00:17:27.160
- then I think

498
00:17:27.460 --> 00:17:28.840
- at some point, we're gonna,

499
00:17:30.414 --> 00:17:32.255
- it's uncomfortable to say this. Right? But at

500
00:17:32.255 --> 00:17:34.974
- some point, we're gonna have our pets.com moment

501
00:17:34.974 --> 00:17:37.055
- where we realize that not every AI thing

502
00:17:37.055 --> 00:17:37.555
- was,

503
00:17:38.015 --> 00:17:40.174
- had merit. And it was all, you know,

504
00:17:40.174 --> 00:17:40.674
- exploration.

505
00:17:41.134 --> 00:17:42.654
- It was our Lewis and Clark moment. I

506
00:17:42.654 --> 00:17:44.275
- think it's a good that's a good analogy.

507
00:17:44.815 --> 00:17:46.190
- And And then what you're gonna find is

508
00:17:46.190 --> 00:17:47.170
- that, you know, you didn't

509
00:17:47.869 --> 00:17:49.470
- not every place, you know, West Of The

510
00:17:49.470 --> 00:17:51.950
- Mississippi ended up being, you know, equally inhabited.

511
00:17:51.950 --> 00:17:53.950
- Like, we picked spots that worked and spots

512
00:17:53.950 --> 00:17:55.950
- that didn't, and and that's what's gonna happen.

513
00:17:55.950 --> 00:17:57.722
- And there's gonna be winners and there's gonna

514
00:17:57.722 --> 00:17:59.850
- be losers. The challenge on the cowboy side,

515
00:17:59.850 --> 00:18:01.977
- like, everyone thinks about the cowboys who who

516
00:18:01.977 --> 00:18:04.370
- spot the winners. Right? Those people like, when

517
00:18:04.370 --> 00:18:06.497
- you're there first, right, you make bank. Like,

518
00:18:06.497 --> 00:18:09.156
- that that's amazing. Sort of the the underside

519
00:18:09.156 --> 00:18:11.284
- of that, by the way, is there's gonna

520
00:18:11.284 --> 00:18:13.170
- be people who become the faces of failure.

521
00:18:14.110 --> 00:18:15.789
- And when you're the face of failure like

522
00:18:15.789 --> 00:18:17.230
- that, there's there will there will be a

523
00:18:17.230 --> 00:18:18.210
- cost to that.

524
00:18:18.590 --> 00:18:20.670
- And so and then everybody else, I mean,

525
00:18:20.670 --> 00:18:22.190
- we know that, you know, the unwashed masses,

526
00:18:22.190 --> 00:18:23.470
- what they do is they sit back and

527
00:18:23.470 --> 00:18:24.750
- they watch and they see, you know, who's

528
00:18:24.750 --> 00:18:26.944
- gonna, you know, essentially who's gonna win. They're

529
00:18:26.944 --> 00:18:28.325
- gonna pick sides later.

530
00:18:29.664 --> 00:18:31.105
- And then, you know, the question is what

531
00:18:31.105 --> 00:18:33.505
- what moves those people? But, like, I you

532
00:18:33.505 --> 00:18:34.944
- know, to your to your question, I mean,

533
00:18:34.944 --> 00:18:37.845
- I think you're gonna see expectations of ROI,

534
00:18:38.625 --> 00:18:39.285
- you know,

535
00:18:40.170 --> 00:18:42.110
- nominally this year, next year,

536
00:18:43.610 --> 00:18:45.850
- and that and things like memory pricing and

537
00:18:45.850 --> 00:18:47.769
- whatever. Like, that stuff's just gonna make it

538
00:18:47.769 --> 00:18:49.690
- even more important because it's I mean, this

539
00:18:49.690 --> 00:18:51.529
- is it's not even like this is, like,

540
00:18:51.529 --> 00:18:54.090
- a a relatively cheap investment. Like, it's free

541
00:18:54.090 --> 00:18:56.214
- to go and part and and, explore.

542
00:18:56.835 --> 00:18:58.115
- You know, like, at least for the Lewis

543
00:18:58.115 --> 00:19:00.115
- and Clark angle, like, you can like, if

544
00:19:00.115 --> 00:19:01.555
- you wanted to go and forge a a

545
00:19:01.555 --> 00:19:02.835
- path, it was kind of that's up to

546
00:19:02.835 --> 00:19:04.535
- you. Like, you could you raise the

547
00:19:04.994 --> 00:19:06.515
- you get your stuff and you take the

548
00:19:06.515 --> 00:19:07.015
- risk.

549
00:19:07.315 --> 00:19:09.160
- You know, in this world, it's like, I

550
00:19:09.160 --> 00:19:11.319
- don't think that people are going alone anymore,

551
00:19:11.319 --> 00:19:13.319
- and and it's not just their risk to

552
00:19:13.319 --> 00:19:15.640
- bear. That means the consequences are gonna be

553
00:19:15.640 --> 00:19:17.240
- higher, which means the scrutiny is gonna be

554
00:19:17.240 --> 00:19:19.480
- higher. So Yeah. You know, keep your eyes

555
00:19:19.480 --> 00:19:22.619
- open that way. Particularly in the infrastructure space

556
00:19:23.144 --> 00:19:24.605
- where you do something

557
00:19:25.545 --> 00:19:27.404
- and you actually can impact

558
00:19:28.184 --> 00:19:29.965
- a lot of people very quickly

559
00:19:31.065 --> 00:19:32.825
- regardless of whether or not that was your

560
00:19:32.825 --> 00:19:35.244
- intent. It's much harder to firewall off.

561
00:19:35.545 --> 00:19:38.070
- Like, the Lewis and Clark thing, that's great.

562
00:19:38.070 --> 00:19:40.070
- You know, I have this little team. My

563
00:19:40.070 --> 00:19:41.910
- team is at risk. They go out and

564
00:19:41.910 --> 00:19:43.910
- they do their thing. It's kind of like

565
00:19:43.910 --> 00:19:45.990
- they're firewalled off from culture. If they would

566
00:19:45.990 --> 00:19:46.650
- have failed,

567
00:19:47.029 --> 00:19:49.990
- well, you know, they failed. Right? Somebody tries

568
00:19:49.990 --> 00:19:50.654
- again later,

569
00:19:51.215 --> 00:19:52.914
- and they learn from that failure.

570
00:19:53.455 --> 00:19:54.355
- No. When you

571
00:19:54.894 --> 00:19:55.394
- accidentally

572
00:19:55.775 --> 00:19:57.234
- take a network down

573
00:19:59.295 --> 00:20:00.994
- because you are Lewis and Clark,

574
00:20:01.535 --> 00:20:02.035
- like,

575
00:20:02.335 --> 00:20:04.595
- no. Things get real, real fast.

576
00:20:05.160 --> 00:20:06.200
- And that's that's

577
00:20:06.600 --> 00:20:09.240
- there's there's a lot of I can understand

578
00:20:09.240 --> 00:20:09.900
- the hesitance

579
00:20:10.440 --> 00:20:11.420
- in that space.

580
00:20:11.960 --> 00:20:14.359
- So The the the bad news stories, though,

581
00:20:14.359 --> 00:20:16.200
- just I mean, they're gonna travel fast and

582
00:20:16.200 --> 00:20:17.420
- far. Yeah.

583
00:20:17.755 --> 00:20:19.835
- Exactly. Happens, what that's gonna do is create

584
00:20:19.835 --> 00:20:21.835
- a chilling effect. So if I'm on the

585
00:20:21.835 --> 00:20:24.394
- sidelines, maybe I'm skeptical. Maybe I'm just maybe

586
00:20:24.394 --> 00:20:25.615
- I just don't know enough.

587
00:20:26.075 --> 00:20:27.595
- And then I see a data point that

588
00:20:27.595 --> 00:20:29.674
- supports me staying on the sidelines. Like, what

589
00:20:29.674 --> 00:20:31.214
- it does is it just in it entrenches

590
00:20:31.275 --> 00:20:33.509
- my position. I'm gonna wait until there's, like,

591
00:20:33.670 --> 00:20:35.990
- success. And I don't it's not enough for

592
00:20:35.990 --> 00:20:37.670
- someone to have some success. It has to

593
00:20:37.670 --> 00:20:39.930
- be, you know, breakthrough success. Meaning,

594
00:20:40.630 --> 00:20:42.730
- it's, like, repeatable in some way.

595
00:20:43.190 --> 00:20:45.269
- Yeah. Yeah. And so how do you like,

596
00:20:45.269 --> 00:20:47.565
- how do these things become repeatable? Like, that

597
00:20:47.565 --> 00:20:49.244
- that part I mean, that's an interesting question.

598
00:20:49.244 --> 00:20:51.325
- Like, what what what constitutes or what are

599
00:20:51.325 --> 00:20:52.065
- the properties

600
00:20:52.444 --> 00:20:54.524
- that would make something repeatable at an at

601
00:20:54.524 --> 00:20:56.845
- an industry or even, like, a a vertical

602
00:20:56.845 --> 00:20:58.924
- level within just peers? Like, to me, that

603
00:20:58.924 --> 00:21:00.605
- part, I actually don't know the answer to

604
00:21:00.605 --> 00:21:01.085
- that. I mean, I

605
00:21:02.460 --> 00:21:03.980
- but that's what people are gonna be looking

606
00:21:03.980 --> 00:21:04.559
- for. And

607
00:21:05.099 --> 00:21:05.953
- I'm telling you, if if things are failing

608
00:21:05.953 --> 00:21:07.740
- in a 80 or 90% clip, what you're

609
00:21:07.740 --> 00:21:09.039
- gonna see is more stories.

610
00:21:09.740 --> 00:21:11.579
- And and then the dangerous and and maybe

611
00:21:11.579 --> 00:21:13.039
- the the the, you know, the

612
00:21:13.420 --> 00:21:15.984
- uncomfortable truth is that we can't let even

613
00:21:15.984 --> 00:21:18.644
- if if like, 90% failure is probably normal.

614
00:21:19.505 --> 00:21:21.904
- Yeah. Yeah. And that can't stop you from

615
00:21:21.904 --> 00:21:23.904
- breaking forward. Because if you do, then then

616
00:21:23.904 --> 00:21:26.144
- the whole industry stopped. And then and then

617
00:21:26.144 --> 00:21:27.984
- if if somebody else makes it and you

618
00:21:27.984 --> 00:21:28.484
- don't

619
00:21:29.289 --> 00:21:31.210
- Mhmm. Then you're you're at a disadvantage. Your

620
00:21:31.210 --> 00:21:32.970
- company's at a disadvantage. You know, your your

621
00:21:32.970 --> 00:21:35.130
- network is at a disadvantage. Your career is

622
00:21:35.130 --> 00:21:36.829
- at a disadvantage. And so,

623
00:21:37.289 --> 00:21:39.390
- like, you you we have to pay attention.

624
00:21:39.769 --> 00:21:41.309
- I I do think it's high stakes.

625
00:21:42.394 --> 00:21:43.754
- But but I don't think you can I

626
00:21:43.754 --> 00:21:44.815
- I think not participating

627
00:21:45.115 --> 00:21:46.414
- is is challenging?

628
00:21:47.194 --> 00:21:49.034
- So yeah. So I was thinking of an

629
00:21:49.034 --> 00:21:50.335
- example about automation

630
00:21:50.875 --> 00:21:52.494
- being the same sort of a thing.

631
00:21:52.875 --> 00:21:55.855
- When Facebook had that big outage

632
00:21:56.315 --> 00:21:58.240
- that caused them to go down for several

633
00:21:58.240 --> 00:22:00.259
- days or hours or whatever it was.

634
00:22:01.039 --> 00:22:03.220
- Everyone knows about that outage,

635
00:22:03.599 --> 00:22:05.519
- and they know that it was automation or,

636
00:22:05.519 --> 00:22:07.539
- you know, related, that there was an automation

637
00:22:07.599 --> 00:22:08.099
- problem.

638
00:22:08.640 --> 00:22:11.234
- But instead of taking away the lesson of,

639
00:22:11.775 --> 00:22:13.855
- well, this is why you build the system

640
00:22:13.855 --> 00:22:15.714
- to have failure domains,

641
00:22:16.575 --> 00:22:18.894
- and you build the system so that one

642
00:22:18.894 --> 00:22:20.994
- failure can't leak into other domains

643
00:22:21.609 --> 00:22:23.869
- with firewalls in the system, stuff like that.

644
00:22:24.329 --> 00:22:26.829
- The the takeaway was, well, automation is dangerous.

645
00:22:27.849 --> 00:22:30.250
- And I think that that kind of thing

646
00:22:30.250 --> 00:22:31.950
- is actually slowed down,

647
00:22:32.250 --> 00:22:34.190
- and the same thing is gonna be true

648
00:22:34.569 --> 00:22:37.394
- for AI. Right? Every time there's a failure.

649
00:22:37.394 --> 00:22:38.914
- And the flip side of that is you're

650
00:22:38.914 --> 00:22:40.375
- like, well, how does it become repeatable?

651
00:22:40.755 --> 00:22:42.994
- Part of the problem to me is that

652
00:22:42.994 --> 00:22:45.174
- if you're a company who's made it succeed,

653
00:22:46.034 --> 00:22:48.595
- you have zero interest in telling anyone about

654
00:22:48.595 --> 00:22:49.095
- it.

655
00:22:49.634 --> 00:22:49.859
- Right.

656
00:22:51.220 --> 00:22:52.740
- Yeah. I was just thinking about that. The

657
00:22:52.740 --> 00:22:54.980
- the breakthrough successes are pretty easy for everybody

658
00:22:54.980 --> 00:22:55.960
- to talk about, but,

659
00:22:56.500 --> 00:22:58.759
- I I think it's probably the small

660
00:22:59.460 --> 00:23:01.880
- small efficiency gains that add up over time

661
00:23:02.099 --> 00:23:04.099
- that really is the value of the whole

662
00:23:04.099 --> 00:23:06.234
- thing anyway and that's just not a newsworthy

663
00:23:06.234 --> 00:23:07.174
- thing. Like

664
00:23:07.554 --> 00:23:08.994
- I, you know, in my work yesterday I

665
00:23:08.994 --> 00:23:10.835
- was I was having this moment where I

666
00:23:10.835 --> 00:23:13.234
- was I I was waiting for the for

667
00:23:13.234 --> 00:23:14.914
- the l m to do some stuff. I

668
00:23:14.914 --> 00:23:16.115
- I I could tell it was gonna take

669
00:23:16.115 --> 00:23:17.554
- it like, I don't know, a minute, two

670
00:23:17.554 --> 00:23:18.694
- minutes and I was like,

671
00:23:19.039 --> 00:23:20.240
- I can go up and get a drink

672
00:23:20.240 --> 00:23:22.559
- or something, but I can't really like go

673
00:23:22.559 --> 00:23:23.940
- fishing or whatever.

674
00:23:24.880 --> 00:23:27.039
- And so and I started thinking about what

675
00:23:27.039 --> 00:23:29.359
- what about context switches? Can I use this

676
00:23:29.359 --> 00:23:32.000
- time somehow? Just a little very microcosm, you

677
00:23:32.000 --> 00:23:33.805
- know, of what we're talking about. But but

678
00:23:33.805 --> 00:23:35.644
- I did not have to be engaged the

679
00:23:35.644 --> 00:23:36.945
- same way I was before.

680
00:23:37.404 --> 00:23:39.244
- And I think I don't know. I I

681
00:23:39.244 --> 00:23:41.085
- I think that'll be there'll be small wins

682
00:23:41.085 --> 00:23:43.484
- that nobody really is incentivized to talk about

683
00:23:43.484 --> 00:23:43.984
- and,

684
00:23:44.684 --> 00:23:46.605
- the people who are waiting on the sidelines

685
00:23:46.605 --> 00:23:48.384
- just aren't ever gonna see that.

686
00:23:48.849 --> 00:23:51.169
- Even even the breakthroughs though, Tom. Right? If

687
00:23:51.169 --> 00:23:52.309
- you're in a company

688
00:23:52.769 --> 00:23:54.230
- that suddenly gains

689
00:23:55.009 --> 00:23:57.669
- competitive advantage in your entire market

690
00:23:58.129 --> 00:23:59.509
- because you have a breakthrough,

691
00:24:01.009 --> 00:24:02.954
- you are not going to talk about it

692
00:24:04.234 --> 00:24:06.794
- because you don't want your competitors to realize

693
00:24:06.794 --> 00:24:08.015
- what you just did.

694
00:24:08.474 --> 00:24:10.474
- Yeah. High frequency trading space is a good

695
00:24:10.474 --> 00:24:13.274
- example. Yeah. They do stuff. They're printing money,

696
00:24:13.274 --> 00:24:15.160
- and they're like, we're happy to privately and

697
00:24:15.160 --> 00:24:15.660
- quietly,

698
00:24:16.200 --> 00:24:17.480
- you know, do our little thing in the

699
00:24:17.480 --> 00:24:19.160
- corner, and we won't we're not gonna show

700
00:24:19.160 --> 00:24:20.680
- up to your conference, and we're not gonna

701
00:24:20.680 --> 00:24:22.539
- talk on stage about whatever because

702
00:24:24.039 --> 00:24:26.440
- every time we do, we we chip away

703
00:24:26.440 --> 00:24:27.259
- at our advantage.

704
00:24:27.775 --> 00:24:28.515
- That's exactly right.

705
00:24:29.214 --> 00:24:30.994
- But to go back to Tom's, like,

706
00:24:31.535 --> 00:24:32.035
- incremental

707
00:24:32.575 --> 00:24:33.075
- example

708
00:24:33.375 --> 00:24:35.694
- of you know? So so maybe, you know,

709
00:24:35.694 --> 00:24:36.994
- this week, you you

710
00:24:37.295 --> 00:24:39.075
- you gain a, like, 10%

711
00:24:39.535 --> 00:24:40.674
- incremental improvement.

712
00:24:41.519 --> 00:24:42.740
- Like, those incremental

713
00:24:43.039 --> 00:24:43.539
- improvements

714
00:24:44.320 --> 00:24:45.460
- compound over time.

715
00:24:46.160 --> 00:24:47.759
- And so if if you think of it

716
00:24:47.759 --> 00:24:50.420
- as something like a compounding interest,

717
00:24:51.119 --> 00:24:51.619
- then

718
00:24:52.000 --> 00:24:54.980
- if you continue to make those incremental improvements,

719
00:24:55.835 --> 00:24:58.015
- whereas there are people sitting back and waiting,

720
00:24:58.634 --> 00:25:01.355
- not making those incremental improvements, whether it's as

721
00:25:01.355 --> 00:25:03.434
- an individual or a team or an a

722
00:25:03.434 --> 00:25:04.174
- whole organization.

723
00:25:05.194 --> 00:25:06.335
- At some point,

724
00:25:06.875 --> 00:25:08.414
- those lines are gonna diverge.

725
00:25:08.779 --> 00:25:10.380
- The problem is if you look at, like,

726
00:25:10.380 --> 00:25:12.319
- a compounding interest chart,

727
00:25:13.019 --> 00:25:16.700
- the line for the longest time looks pretty

728
00:25:16.700 --> 00:25:18.460
- flat, and then all of a sudden, you

729
00:25:18.460 --> 00:25:20.159
- get this hockey stick effect.

730
00:25:20.619 --> 00:25:23.019
- And I think right now, we are at

731
00:25:23.019 --> 00:25:23.759
- the stage

732
00:25:24.365 --> 00:25:26.045
- where the lines still are

733
00:25:26.765 --> 00:25:28.384
- look almost parallel,

734
00:25:29.085 --> 00:25:31.404
- but at some point, there's gonna be a

735
00:25:31.404 --> 00:25:31.904
- divergence.

736
00:25:32.605 --> 00:25:34.365
- I can't tell you exactly when that's gonna

737
00:25:34.365 --> 00:25:34.865
- be,

738
00:25:35.644 --> 00:25:38.384
- but I'm pretty confident that it's coming.

739
00:25:39.005 --> 00:25:39.505
- And

740
00:25:40.410 --> 00:25:41.450
- a a a point I wanted to make

741
00:25:41.450 --> 00:25:41.950
- while,

742
00:25:42.890 --> 00:25:46.170
- while Mike was talking earlier is that sometimes

743
00:25:46.170 --> 00:25:47.390
- we talk about

744
00:25:48.170 --> 00:25:49.529
- is it a bubble, is it not a

745
00:25:49.529 --> 00:25:51.869
- bubble, all those things as if

746
00:25:52.570 --> 00:25:54.170
- because we think it's a bubble, we mean

747
00:25:54.170 --> 00:25:55.070
- it's not real.

748
00:25:55.654 --> 00:25:58.775
- And those two two concepts are mutual they're

749
00:25:58.775 --> 00:26:01.654
- independent of one another. Right? The Internet was

750
00:26:01.654 --> 00:26:04.294
- very real. The capabilities of the Internet were

751
00:26:04.294 --> 00:26:06.934
- very real. The change that the Internet was

752
00:26:06.934 --> 00:26:09.015
- bringing was very real, and we are all

753
00:26:09.015 --> 00:26:11.039
- here today because of it,

754
00:26:11.580 --> 00:26:13.680
- there was still an economic bubble.

755
00:26:13.980 --> 00:26:15.980
- Both of those things can be true at

756
00:26:15.980 --> 00:26:16.880
- the same time.

757
00:26:17.340 --> 00:26:18.559
- And so just,

758
00:26:18.940 --> 00:26:20.779
- you know, regardless of what you believe about

759
00:26:20.779 --> 00:26:22.460
- the economics of it whether or not it's

760
00:26:22.460 --> 00:26:24.884
- a bubble, it doesn't mean the technology

761
00:26:25.904 --> 00:26:26.805
- isn't meaningful

762
00:26:27.345 --> 00:26:30.144
- and worth some investigation. So I I think

763
00:26:30.144 --> 00:26:30.884
- it's important

764
00:26:31.345 --> 00:26:33.664
- to kind of separate those two concepts a

765
00:26:33.664 --> 00:26:34.164
- bit.

766
00:26:34.625 --> 00:26:36.545
- Yeah. The the technology is gonna be durable.

767
00:26:36.545 --> 00:26:38.005
- There's no doubt. I think,

768
00:26:39.160 --> 00:26:39.980
- you know, I

769
00:26:40.359 --> 00:26:42.279
- think people will they need to assess whether

770
00:26:42.279 --> 00:26:44.279
- they need to participate or not. For the

771
00:26:44.279 --> 00:26:46.440
- people watching the two parallel lines, though, I

772
00:26:46.440 --> 00:26:48.279
- mean, how do you encourage someone who's watching

773
00:26:48.279 --> 00:26:49.339
- that? How do you

774
00:26:49.720 --> 00:26:51.160
- I mean, like, in in general, how do

775
00:26:51.160 --> 00:26:52.940
- you how do you get them off the

776
00:26:53.444 --> 00:26:54.804
- the sidelines? How do you get them off

777
00:26:54.804 --> 00:26:57.044
- the fence? So they because it the the

778
00:26:57.204 --> 00:26:57.704
- when,

779
00:26:58.244 --> 00:27:00.005
- if you think about, like, the the the

780
00:27:00.005 --> 00:27:01.384
- effort you have to put in

781
00:27:02.244 --> 00:27:04.404
- is gonna be sort of related to how

782
00:27:04.404 --> 00:27:06.244
- how far those lines have diverged. And when

783
00:27:06.244 --> 00:27:07.798
- those lines are, like, on top of each

784
00:27:07.798 --> 00:27:09.705
- other, then it's, like, it's relatively lower efforts

785
00:27:09.705 --> 00:27:11.613
- to participate. You do it over a longer

786
00:27:11.613 --> 00:27:13.520
- period of time. So it's, like, low effort

787
00:27:13.520 --> 00:27:15.428
- but over a long period of time. If

788
00:27:15.428 --> 00:27:17.335
- you would wait until it totally diverged, then

789
00:27:17.335 --> 00:27:19.243
- you have to learn a new discipline. You

790
00:27:19.243 --> 00:27:21.389
- know, you don't you saved all the time

791
00:27:21.389 --> 00:27:23.296
- along the way. So maybe, like, during that

792
00:27:23.296 --> 00:27:25.215
- time, know, there was some opportunity cost. You

793
00:27:25.215 --> 00:27:27.715
- did something else that was useful, valuable, whatever.

794
00:27:28.095 --> 00:27:30.095
- But now you're sitting and watching. Like, how

795
00:27:30.095 --> 00:27:31.474
- do you get people to

796
00:27:32.174 --> 00:27:32.914
- to engage?

797
00:27:33.535 --> 00:27:35.455
- So so before we talk about that, because

798
00:27:35.455 --> 00:27:37.539
- I actually have ideas, I wanna go back

799
00:27:37.539 --> 00:27:39.720
- to automation for just a second and ask,

800
00:27:40.340 --> 00:27:42.420
- are we at the point where people should

801
00:27:42.420 --> 00:27:45.080
- leapfrog automation and just go in

802
00:27:45.779 --> 00:27:47.400
- and start looking at AI,

803
00:27:48.180 --> 00:27:49.559
- LLM based tools

804
00:27:50.259 --> 00:27:52.200
- as a part of or superseding?

805
00:27:53.115 --> 00:27:56.474
- Does it supersede automation? What's the relationship here?

806
00:27:56.474 --> 00:27:59.214
- Do y'all think? Like, just just in general,

807
00:27:59.835 --> 00:28:00.795
- are we, like

808
00:28:01.835 --> 00:28:04.255
- we we haven't even succeeded in automation

809
00:28:04.714 --> 00:28:06.494
- at this point. Are we

810
00:28:06.910 --> 00:28:09.309
- are we, like, at a leapfrog point? What

811
00:28:09.309 --> 00:28:11.470
- what are we gonna do with this? So

812
00:28:11.470 --> 00:28:11.970
- I'm

813
00:28:12.349 --> 00:28:14.269
- sorry. Go ahead, Mike. Well, so I'm looking

814
00:28:14.269 --> 00:28:16.430
- in cloud. I'll just I'll keep it super

815
00:28:16.430 --> 00:28:18.930
- short. In cloud, there were people who YOLOed.

816
00:28:19.355 --> 00:28:22.154
- They moved to cloud. They abdicated responsibility. They

817
00:28:22.154 --> 00:28:23.595
- said, we're in the cloud. It's up to

818
00:28:23.595 --> 00:28:26.734
- AWS now. You know? Jesus, take the wheel.

819
00:28:26.795 --> 00:28:28.634
- And then that didn't always work out for

820
00:28:28.634 --> 00:28:29.134
- them.

821
00:28:29.994 --> 00:28:32.335
- In fact, it almost never did, but okay.

822
00:28:34.670 --> 00:28:36.210
- So there's a lot of repatriation

823
00:28:36.509 --> 00:28:37.890
- going on. Go ahead, Tom.

824
00:28:38.190 --> 00:28:39.549
- The thought I've had, and I know it's

825
00:28:39.549 --> 00:28:41.630
- I know it's not this simple, but, sort

826
00:28:41.630 --> 00:28:42.450
- of, I guess,

827
00:28:42.990 --> 00:28:43.490
- theoretically,

828
00:28:44.670 --> 00:28:46.005
- now would be a great time, I think,

829
00:28:46.005 --> 00:28:47.845
- to stand up an MCP server in front

830
00:28:47.845 --> 00:28:49.765
- of your infrastructure, inform about how to get

831
00:28:49.765 --> 00:28:51.164
- into your infrastructure. And I know it sounds

832
00:28:51.164 --> 00:28:52.964
- a little crazy, but we're cowboys. Right? You

833
00:28:52.964 --> 00:28:55.285
- know what, Yvonne? So Mhmm. You know, stand

834
00:28:55.285 --> 00:28:57.285
- up this MCP MCP server in front of

835
00:28:57.285 --> 00:28:58.724
- your infrastructure, teach it how to talk to

836
00:28:58.724 --> 00:28:59.305
- your infrastructure,

837
00:28:59.609 --> 00:29:00.109
- and

838
00:29:00.650 --> 00:29:02.730
- use, you know, use whatever you're gonna use,

839
00:29:02.730 --> 00:29:03.549
- cloud, whatever,

840
00:29:04.250 --> 00:29:06.429
- to to talk to this MCP server

841
00:29:06.730 --> 00:29:09.230
- and and do things for a while

842
00:29:09.690 --> 00:29:12.730
- and and figure out how to make those

843
00:29:12.730 --> 00:29:14.269
- patterns that you already use,

844
00:29:15.035 --> 00:29:16.554
- to how to turn them into an automation

845
00:29:16.554 --> 00:29:17.054
- system,

846
00:29:17.994 --> 00:29:20.095
- or or something along the like, if

847
00:29:20.394 --> 00:29:22.714
- we're trying to a thing that learns from

848
00:29:22.714 --> 00:29:24.974
- language can learn from patterns of usage.

849
00:29:25.434 --> 00:29:27.434
- And so, you know, if I was starting

850
00:29:27.434 --> 00:29:28.494
- fresh and had nothing,

851
00:29:29.230 --> 00:29:31.230
- I would probably do something like that. Like,

852
00:29:31.230 --> 00:29:33.150
- let's let's figure out what the work is,

853
00:29:33.150 --> 00:29:35.470
- have something right you know, plan some software

854
00:29:35.470 --> 00:29:36.769
- for me, and,

855
00:29:37.230 --> 00:29:39.390
- why not let it watch what I'm doing?

856
00:29:39.390 --> 00:29:41.150
- And I don't know. It it it seems

857
00:29:41.150 --> 00:29:43.470
- like there are capabilities for standing up these

858
00:29:43.470 --> 00:29:44.369
- systems that,

859
00:29:45.025 --> 00:29:45.845
- don't involve

860
00:29:46.224 --> 00:29:47.984
- sit down for a year and plan out

861
00:29:47.984 --> 00:29:50.565
- your work and build a very elegant architecture.

862
00:29:51.265 --> 00:29:53.505
- Do you think that the average bystander can

863
00:29:53.505 --> 00:29:54.644
- get started on that?

864
00:29:56.065 --> 00:29:57.670
- I don't know. Know. I mean, you do

865
00:29:57.670 --> 00:29:59.029
- have to be able to write a little

866
00:29:59.029 --> 00:30:00.470
- bit of code. I think you have to

867
00:30:00.710 --> 00:30:02.470
- but I I don't know. I'm I'm optimistic

868
00:30:02.470 --> 00:30:04.470
- that a network engineer could could do something

869
00:30:04.470 --> 00:30:06.070
- like that. Because all of us at one

870
00:30:06.070 --> 00:30:07.190
- point had to sit down and say, you

871
00:30:07.190 --> 00:30:08.230
- know what? I need to stand up a

872
00:30:08.230 --> 00:30:09.590
- web server, and I need to not wait

873
00:30:09.590 --> 00:30:11.265
- for some server to do it. Like, we

874
00:30:11.265 --> 00:30:12.884
- had to we had to all do that.

875
00:30:13.025 --> 00:30:14.725
- And so, you know, why not?

876
00:30:15.265 --> 00:30:16.945
- None of us came out of the womb,

877
00:30:16.945 --> 00:30:18.805
- not even Russ White, knowing BGP.

878
00:30:19.184 --> 00:30:20.884
- Right? Everything we know, we learned.

879
00:30:23.057 --> 00:30:24.930
- And and, you know, and I think it

880
00:30:24.930 --> 00:30:27.349
- may present a unique opportunity. Like,

881
00:30:27.650 --> 00:30:30.210
- one of the things that that I've also

882
00:30:30.210 --> 00:30:31.349
- seen as an example

883
00:30:31.809 --> 00:30:34.609
- is that I have actually seen people who

884
00:30:34.609 --> 00:30:35.670
- are non developers

885
00:30:36.609 --> 00:30:37.750
- be more successful

886
00:30:38.130 --> 00:30:38.630
- implementing

887
00:30:39.434 --> 00:30:42.315
- systems and code with AI than developers. And

888
00:30:42.315 --> 00:30:44.335
- that's because they go to the AI,

889
00:30:44.714 --> 00:30:46.474
- and they say, I don't know what I'm

890
00:30:46.474 --> 00:30:48.815
- doing. Tell me how to build this. Right?

891
00:30:49.115 --> 00:30:51.054
- And and so instead of,

892
00:30:51.674 --> 00:30:53.420
- like, you say, okay. I want you to

893
00:30:53.420 --> 00:30:54.619
- build it, and I want you to build

894
00:30:54.619 --> 00:30:56.640
- it this way, and I want you like,

895
00:30:56.779 --> 00:30:59.119
- so go to your AI tool of choice,

896
00:30:59.180 --> 00:31:02.480
- Gemini, Claude, whatever, and say, hey.

897
00:31:03.660 --> 00:31:05.339
- If I wanted to send up an MCB

898
00:31:05.339 --> 00:31:07.180
- server and talk to my infrastructure, how would

899
00:31:07.180 --> 00:31:07.920
- I do that?

900
00:31:08.775 --> 00:31:11.195
- And then it will tell you. And then

901
00:31:11.815 --> 00:31:13.494
- it you you can set it up so

902
00:31:13.494 --> 00:31:15.335
- that you have to approve everything that it

903
00:31:15.335 --> 00:31:15.835
- does.

904
00:31:16.375 --> 00:31:18.955
- But in a lot of ways, it lowers

905
00:31:19.015 --> 00:31:21.599
- the barrier of entry. Like, you don't have

906
00:31:21.599 --> 00:31:24.099
- to write the Python from scratch, for example.

907
00:31:25.359 --> 00:31:27.920
- I I still think it's really important to

908
00:31:27.920 --> 00:31:28.820
- know the vocabulary

909
00:31:29.359 --> 00:31:31.440
- of all those things. Like, you you ought

910
00:31:31.440 --> 00:31:32.880
- to know what git is and how it

911
00:31:32.880 --> 00:31:35.535
- works, and you gotta have some general programming

912
00:31:35.994 --> 00:31:38.394
- constructs and concepts in your mind. And you've

913
00:31:38.394 --> 00:31:40.734
- got, like, those kinds of things.

914
00:31:42.075 --> 00:31:43.134
- But, actually,

915
00:31:43.755 --> 00:31:45.535
- you could use the tool

916
00:31:46.154 --> 00:31:46.315
- to

917
00:31:46.980 --> 00:31:47.720
- and and

918
00:31:48.819 --> 00:31:51.539
- and leapfrog a bit, but, like, the those

919
00:31:51.539 --> 00:31:53.160
- standard concepts of automation

920
00:31:53.539 --> 00:31:54.519
- don't go away,

921
00:31:55.220 --> 00:31:56.839
- but you now have a helper.

922
00:31:57.460 --> 00:31:58.279
- And so

923
00:31:59.059 --> 00:32:00.359
- if you use it properly,

924
00:32:00.660 --> 00:32:02.039
- it's a unique opportunity,

925
00:32:03.794 --> 00:32:06.835
- to kind of either pivot or learn or

926
00:32:06.835 --> 00:32:09.174
- grow or implement in ways that you couldn't

927
00:32:09.234 --> 00:32:10.534
- in the past. And

928
00:32:11.075 --> 00:32:12.775
- and I I see a lot of that.

929
00:32:13.234 --> 00:32:15.394
- I I'm still excited about Mike's question, but

930
00:32:15.394 --> 00:32:17.095
- I don't wanna jump too far ahead

931
00:32:18.419 --> 00:32:19.720
- because I have thoughts too.

932
00:32:20.179 --> 00:32:22.019
- Yeah. Well, I mean, we can go there

933
00:32:22.019 --> 00:32:23.619
- now. I mean, I just wanted to went

934
00:32:23.619 --> 00:32:26.259
- throughout because we talked about automation versus AI

935
00:32:26.259 --> 00:32:28.339
- in the very beginning. I didn't wanna lose

936
00:32:28.339 --> 00:32:30.259
- that thread until we Yeah. Kinda came back

937
00:32:30.259 --> 00:32:31.220
- around to it.

938
00:32:31.859 --> 00:32:34.005
- So I think from my perspective,

939
00:32:34.865 --> 00:32:37.505
- it's much more my my perspective on it

940
00:32:37.505 --> 00:32:39.365
- is is to find ways

941
00:32:39.664 --> 00:32:42.085
- to intentionally use, as you said, Yvonne,

942
00:32:42.384 --> 00:32:43.845
- the AI as a helper.

943
00:32:44.789 --> 00:32:45.529
- Find very

944
00:32:46.150 --> 00:32:46.650
- specific

945
00:32:46.950 --> 00:32:47.450
- task

946
00:32:48.070 --> 00:32:50.549
- that I may not know precisely how to

947
00:32:50.549 --> 00:32:51.049
- do

948
00:32:51.509 --> 00:32:53.509
- or I may just not want to spend

949
00:32:53.509 --> 00:32:55.910
- the time doing, what whatever that case is.

950
00:32:55.910 --> 00:32:56.410
- Right?

951
00:32:56.804 --> 00:32:58.424
- And I use the AI

952
00:32:58.724 --> 00:33:00.825
- to do that thing for me.

953
00:33:01.284 --> 00:33:03.125
- I never just I think a lot of

954
00:33:03.125 --> 00:33:04.644
- the problem with AI right now is that

955
00:33:04.644 --> 00:33:06.325
- people walk up to it and say, you

956
00:33:06.325 --> 00:33:09.044
- know, log on to Claude or Gemini or

957
00:33:09.044 --> 00:33:10.585
- whatever it is, and they say,

958
00:33:12.009 --> 00:33:14.009
- write me a piece of software that does

959
00:33:14.009 --> 00:33:14.509
- this.

960
00:33:14.890 --> 00:33:16.750
- And Al spits a bunch of code,

961
00:33:17.210 --> 00:33:18.650
- and they don't know how to read it.

962
00:33:18.650 --> 00:33:20.890
- They don't know how to evaluate it. They

963
00:33:20.890 --> 00:33:22.809
- don't know how to do anything with this.

964
00:33:22.809 --> 00:33:23.309
- Right?

965
00:33:23.794 --> 00:33:24.855
- It's much better

966
00:33:25.315 --> 00:33:27.234
- to start and say, I need to write

967
00:33:27.234 --> 00:33:29.474
- a piece of code that does this. So

968
00:33:29.474 --> 00:33:31.575
- you sit down and you start writing

969
00:33:32.194 --> 00:33:32.694
- yourself.

970
00:33:32.994 --> 00:33:34.595
- And then when you get to an impasse,

971
00:33:34.595 --> 00:33:35.335
- you say,

972
00:33:36.515 --> 00:33:37.974
- I don't know how to do that.

973
00:33:38.674 --> 00:33:41.029
- I'm gonna ask. And you ask the little

974
00:33:41.029 --> 00:33:43.430
- AI assistant, and it spits back some code.

975
00:33:43.430 --> 00:33:44.890
- But it's a very specific

976
00:33:45.910 --> 00:33:46.410
- thing

977
00:33:46.789 --> 00:33:47.609
- that you,

978
00:33:47.910 --> 00:33:50.170
- in the context of your own development,

979
00:33:51.349 --> 00:33:53.690
- know how to evaluate what it's done.

980
00:33:55.105 --> 00:33:57.025
- So one of the I remember when I

981
00:33:57.025 --> 00:33:59.105
- first started writing code, one of the very

982
00:33:59.105 --> 00:34:00.944
- common piece of advice floating out there was

983
00:34:00.944 --> 00:34:03.204
- you can't learn to write code academically.

984
00:34:03.664 --> 00:34:05.825
- It it it can't be a a stupid

985
00:34:05.825 --> 00:34:07.825
- thing. It has to be some real problem

986
00:34:07.825 --> 00:34:09.519
- no matter how small it is. And I

987
00:34:09.519 --> 00:34:12.500
- think the opportunities right now are still that,

988
00:34:12.800 --> 00:34:14.960
- but, you know, have it write your software

989
00:34:14.960 --> 00:34:16.720
- and then have it explain your software to

990
00:34:16.720 --> 00:34:18.820
- you in your your hobby project or whatever.

991
00:34:18.880 --> 00:34:20.720
- And that's something you couldn't do before with

992
00:34:20.720 --> 00:34:22.960
- software. You couldn't it was like, okay, go

993
00:34:22.960 --> 00:34:25.045
- get your Python book and and learn how

994
00:34:25.045 --> 00:34:26.885
- to do this. You can you can tell

995
00:34:26.885 --> 00:34:27.385
- the

996
00:34:27.765 --> 00:34:29.765
- machine, do this this pet project for me

997
00:34:29.765 --> 00:34:31.844
- and then now explain. And then and as

998
00:34:31.844 --> 00:34:33.445
- you read through it, why does this what

999
00:34:33.445 --> 00:34:35.045
- does this do? How does this work? And

1000
00:34:35.045 --> 00:34:36.965
- you can ask a billion questions without annoying

1001
00:34:36.965 --> 00:34:38.644
- it. And you can you can, you know,

1002
00:34:38.644 --> 00:34:41.090
- take thirty minutes a day and just write

1003
00:34:41.090 --> 00:34:42.769
- software and have the rest of the week

1004
00:34:42.769 --> 00:34:44.550
- explain to you the software that it wrote.

1005
00:34:44.930 --> 00:34:47.650
- I think we can actually accelerate our education

1006
00:34:47.650 --> 00:34:48.950
- in all sorts of disciplines

1007
00:34:49.570 --> 00:34:51.489
- beyond anything we've had before because you could

1008
00:34:51.489 --> 00:34:53.785
- have He said that I would always treat

1009
00:34:53.785 --> 00:34:56.045
- the AI as a code partner

1010
00:34:56.505 --> 00:34:58.285
- rather than as the creator

1011
00:34:59.065 --> 00:34:59.565
- myself.

1012
00:35:00.025 --> 00:35:01.324
- Right. For the for

1013
00:35:01.625 --> 00:35:03.065
- the real thing. Right? You do what I'm

1014
00:35:03.065 --> 00:35:04.905
- suggesting is you if we're trying to help

1015
00:35:04.905 --> 00:35:06.809
- people kinda see the value, like, have it

1016
00:35:06.809 --> 00:35:08.730
- write the software for you for this small

1017
00:35:08.730 --> 00:35:10.650
- project, explain it to you, and then you

1018
00:35:10.650 --> 00:35:12.250
- throw that all away and do it yourself.

1019
00:35:12.250 --> 00:35:13.849
- Or now you now you know how to

1020
00:35:13.849 --> 00:35:14.989
- interact with the machine.

1021
00:35:15.690 --> 00:35:17.450
- But it's funny how we always fall into

1022
00:35:17.450 --> 00:35:19.514
- coding. Sorry. Go ahead, Yvonne. No. It's fine.

1023
00:35:19.514 --> 00:35:20.954
- No. I will say, I don't think it's

1024
00:35:20.954 --> 00:35:22.894
- always gonna be the case where

1025
00:35:23.434 --> 00:35:25.434
- you and AI are writing code together. I

1026
00:35:25.434 --> 00:35:26.714
- do think we'll get to a point where

1027
00:35:26.714 --> 00:35:28.655
- AI is doing most of the writing. But

1028
00:35:29.194 --> 00:35:29.694
- regarding,

1029
00:35:29.994 --> 00:35:32.500
- like, Mike's question of how do you how

1030
00:35:32.500 --> 00:35:35.239
- do you bring people along as a leader,

1031
00:35:36.340 --> 00:35:39.140
- you always have a distribution of people that

1032
00:35:39.140 --> 00:35:41.539
- are somewhere, like, you got your you got

1033
00:35:41.539 --> 00:35:43.700
- your cowboys and your city planners, and then

1034
00:35:43.700 --> 00:35:46.574
- you have your, you know, your your day

1035
00:35:46.574 --> 00:35:49.474
- workers, you know, on on your team. Right?

1036
00:35:49.535 --> 00:35:51.454
- You you've got your people that that are

1037
00:35:51.454 --> 00:35:52.434
- are out front.

1038
00:35:52.735 --> 00:35:54.974
- You've got people that are, you know, they

1039
00:35:55.215 --> 00:35:57.054
- they're not comfortable being out front, but they're

1040
00:35:57.054 --> 00:35:59.190
- really good at structuring, organizing. And then you

1041
00:35:59.190 --> 00:36:00.230
- got the folks that are like, you have

1042
00:36:00.230 --> 00:36:01.349
- to tell them what to do, and they

1043
00:36:01.349 --> 00:36:02.550
- do what you tell them, and that's all

1044
00:36:02.550 --> 00:36:03.530
- they do. Right?

1045
00:36:03.829 --> 00:36:05.750
- But as a leader, like, one of the

1046
00:36:05.750 --> 00:36:07.690
- things I've seen be successful

1047
00:36:07.989 --> 00:36:08.489
- is

1048
00:36:08.789 --> 00:36:11.750
- you you give your your most forward thinking

1049
00:36:11.750 --> 00:36:12.969
- people room to run,

1050
00:36:13.514 --> 00:36:14.255
- and then

1051
00:36:14.795 --> 00:36:17.214
- you work with them to develop something

1052
00:36:17.514 --> 00:36:18.014
- practical

1053
00:36:18.554 --> 00:36:21.375
- that everybody else can actually use

1054
00:36:21.994 --> 00:36:24.815
- and apply it to their daily work.

1055
00:36:25.190 --> 00:36:27.670
- And then once they can use it and

1056
00:36:27.670 --> 00:36:29.610
- apply it to their daily work,

1057
00:36:29.910 --> 00:36:32.470
- then all of a sudden, you've sparked some

1058
00:36:32.470 --> 00:36:35.110
- creativity. Like, oh, I kinda know what this

1059
00:36:35.110 --> 00:36:37.125
- is now. It makes more sense to me.

1060
00:36:37.364 --> 00:36:39.684
- And then they'll start getting creative with that

1061
00:36:39.684 --> 00:36:41.925
- thing and figuring out how to incorporate it

1062
00:36:41.925 --> 00:36:44.485
- into their work. But you've gotta figure out

1063
00:36:44.485 --> 00:36:46.885
- how to find that bridge of there's this

1064
00:36:46.885 --> 00:36:48.405
- new scary thing out there that I don't

1065
00:36:48.405 --> 00:36:49.764
- understand, and I don't I don't know what

1066
00:36:49.764 --> 00:36:51.090
- I don't know what to do with it.

1067
00:36:51.250 --> 00:36:53.489
- And then build some breadcrumbs for the folks

1068
00:36:53.489 --> 00:36:55.890
- that maybe don't know how to make that

1069
00:36:55.890 --> 00:36:56.390
- connection.

1070
00:36:57.570 --> 00:37:00.210
- And I found that incredibly successful. And that's

1071
00:37:00.210 --> 00:37:02.369
- not just an AI thing. That's any new

1072
00:37:02.369 --> 00:37:02.869
- technology.

1073
00:37:03.875 --> 00:37:04.375
- Yeah.

1074
00:37:05.074 --> 00:37:07.714
- But, but I think, like, giving folks a

1075
00:37:07.714 --> 00:37:11.155
- practical thing to do that makes their daily

1076
00:37:11.155 --> 00:37:14.275
- work easier, better, faster that they can see

1077
00:37:14.275 --> 00:37:16.214
- the personal value in is crucial.

1078
00:37:16.910 --> 00:37:18.989
- The the the initial returns, though, are gonna

1079
00:37:18.989 --> 00:37:19.730
- tend to be

1080
00:37:22.430 --> 00:37:23.950
- It's gonna feel like you're wasting a lot

1081
00:37:23.950 --> 00:37:24.989
- of time. Yeah. That's

1082
00:37:25.789 --> 00:37:28.130
- So what what you gotta do like, if

1083
00:37:28.349 --> 00:37:31.195
- if I wanna learn guitar, guitar, then I

1084
00:37:31.195 --> 00:37:33.114
- know that I'm gonna be terrible at playing

1085
00:37:33.114 --> 00:37:34.954
- guitar for some number of, you know, days,

1086
00:37:34.954 --> 00:37:36.014
- weeks, months, whatever.

1087
00:37:36.554 --> 00:37:38.155
- But because it's a thing that I want

1088
00:37:38.155 --> 00:37:38.734
- to do,

1089
00:37:39.434 --> 00:37:41.695
- I'm sort of comfortable with that learning curve.

1090
00:37:42.074 --> 00:37:43.835
- If I don't wanna learn AI, but I'm

1091
00:37:43.835 --> 00:37:45.759
- told I have to, I don't have the

1092
00:37:45.759 --> 00:37:46.500
- same forgiveness.

1093
00:37:46.960 --> 00:37:48.960
- And so I'm like, this sucks straight away.

1094
00:37:48.960 --> 00:37:50.880
- I don't wanna do it. What you gotta

1095
00:37:50.880 --> 00:37:52.239
- do is figure out how do you lower

1096
00:37:52.400 --> 00:37:55.119
- like, you gotta lower their upfront expectations. You

1097
00:37:55.119 --> 00:37:57.460
- gotta raise their long longer term expectations.

1098
00:37:58.244 --> 00:37:59.684
- But if you're not willing if people are

1099
00:37:59.684 --> 00:38:02.484
- not willing to, like, faithfully engage and actually

1100
00:38:02.484 --> 00:38:04.164
- try to do something and endure a little

1101
00:38:04.164 --> 00:38:05.545
- bit of the early part that's

1102
00:38:05.924 --> 00:38:06.824
- a bit cumbersome,

1103
00:38:07.525 --> 00:38:10.005
- then they're not gonna learn enough to actually,

1104
00:38:10.005 --> 00:38:12.699
- like, turn into a valuable two tool. Now

1105
00:38:12.699 --> 00:38:13.980
- the thing where I think AI is a

1106
00:38:13.980 --> 00:38:15.279
- little bit different than guitar

1107
00:38:16.059 --> 00:38:17.819
- is that AI is willing to help you

1108
00:38:17.819 --> 00:38:18.559
- learn it.

1109
00:38:18.940 --> 00:38:20.699
- So to, you know, to to Tom's point

1110
00:38:20.699 --> 00:38:22.059
- about, you know, you can ask for help.

1111
00:38:22.059 --> 00:38:24.639
- Like, it's willing to to to help you.

1112
00:38:25.235 --> 00:38:27.255
- I think maybe that that helps a bit,

1113
00:38:27.474 --> 00:38:29.235
- but I think I think you have to

1114
00:38:29.235 --> 00:38:30.215
- find people who are

1115
00:38:31.155 --> 00:38:32.375
- maybe in the right mindset.

1116
00:38:33.875 --> 00:38:36.355
- And then, Russ, you asked a question earlier

1117
00:38:36.355 --> 00:38:38.170
- that I wanna kind of tie all this

1118
00:38:38.170 --> 00:38:39.849
- back together to that. You you you asked,

1119
00:38:39.849 --> 00:38:41.710
- can you are people gonna learn automation,

1120
00:38:42.090 --> 00:38:43.449
- or are they just gonna learn AI and

1121
00:38:43.449 --> 00:38:45.369
- leapfrog it? I think if you don't know

1122
00:38:45.369 --> 00:38:47.449
- workflow, if you're not fluent in the language

1123
00:38:47.449 --> 00:38:48.110
- of automation,

1124
00:38:48.570 --> 00:38:49.070
- then,

1125
00:38:49.449 --> 00:38:51.105
- you know, you can fail with any tool.

1126
00:38:52.945 --> 00:38:54.304
- Yeah. And so I I I I think

1127
00:38:54.304 --> 00:38:55.905
- what people they're what they're gonna have to

1128
00:38:55.905 --> 00:38:57.445
- do is they're gonna have to like,

1129
00:38:58.065 --> 00:38:59.344
- I think if you just if you think

1130
00:38:59.344 --> 00:39:02.465
- that you can ignore operations generally, ignore workflow

1131
00:39:02.465 --> 00:39:03.984
- generally, and then a tool is gonna come

1132
00:39:03.984 --> 00:39:05.750
- along and then and then solve it for

1133
00:39:05.750 --> 00:39:07.369
- you. I I I think that's probably,

1134
00:39:08.710 --> 00:39:09.210
- optimistic.

1135
00:39:09.670 --> 00:39:11.530
- And and and where that will be true,

1136
00:39:11.750 --> 00:39:13.269
- it won't be the tool that solves it

1137
00:39:13.269 --> 00:39:14.469
- for you. It'll be that you have some

1138
00:39:14.469 --> 00:39:14.969
- coworkers

1139
00:39:15.510 --> 00:39:17.190
- that are doing hard work around you, and

1140
00:39:17.190 --> 00:39:18.789
- then they're gonna spoon feed it to you.

1141
00:39:18.789 --> 00:39:21.345
- Like, that that may be some people's experiences.

1142
00:39:21.885 --> 00:39:23.885
- But, generally, if it's a company that doesn't

1143
00:39:23.965 --> 00:39:25.885
- if it's a network that where no one

1144
00:39:25.885 --> 00:39:27.505
- who's doing it knows

1145
00:39:28.204 --> 00:39:31.405
- anything about operations and, like, how to architect

1146
00:39:31.405 --> 00:39:32.845
- stuff and, like, how to think through, like,

1147
00:39:32.845 --> 00:39:34.980
- the hard work of network engineering. If you

1148
00:39:34.980 --> 00:39:35.960
- don't know that,

1149
00:39:36.340 --> 00:39:37.860
- AI is not gonna suddenly give you that

1150
00:39:37.860 --> 00:39:39.940
- discipline. I think it's gonna make it it's

1151
00:39:39.940 --> 00:39:41.619
- gonna give you a really, really fast path

1152
00:39:41.619 --> 00:39:42.920
- to break things at scale.

1153
00:39:43.300 --> 00:39:44.360
- Well and I think

1154
00:39:45.059 --> 00:39:48.194
- to to just double down on that, Systems

1155
00:39:48.255 --> 00:39:50.514
- thinking becomes more important, not less.

1156
00:39:50.894 --> 00:39:53.054
- Yeah. Because as you start to build with

1157
00:39:53.054 --> 00:39:53.875
- these tools,

1158
00:39:54.255 --> 00:39:55.795
- you have to build them

1159
00:39:56.815 --> 00:39:59.775
- in in a systems approach because, ultimately, what

1160
00:39:59.775 --> 00:40:02.210
- you're doing is building a a system that's

1161
00:40:02.210 --> 00:40:03.109
- going to

1162
00:40:03.489 --> 00:40:05.269
- do all the things. Right?

1163
00:40:05.730 --> 00:40:07.489
- They they've shown this in hiring and stuff.

1164
00:40:07.489 --> 00:40:08.929
- So there was a belief that what it

1165
00:40:08.929 --> 00:40:11.489
- was gonna do was eradicate the expensive, you

1166
00:40:11.489 --> 00:40:13.409
- know, your engineer with twenty five, thirty years

1167
00:40:13.409 --> 00:40:13.909
- experience.

1168
00:40:14.210 --> 00:40:15.489
- Turns out, those are the people who are

1169
00:40:15.489 --> 00:40:17.304
- best equipped to use the tools. That's right.

1170
00:40:17.304 --> 00:40:17.804
- Yeah.

1171
00:40:18.744 --> 00:40:20.265
- Yeah. But now but there but there are

1172
00:40:20.265 --> 00:40:20.765
- two

1173
00:40:21.144 --> 00:40:23.144
- things there that I think are important. The

1174
00:40:23.144 --> 00:40:25.224
- first is, like, when you talk about, like,

1175
00:40:25.224 --> 00:40:27.784
- the the illustration of guitars is interesting to

1176
00:40:27.784 --> 00:40:28.684
- me because

1177
00:40:29.224 --> 00:40:31.260
- I know that when I was learning jazz

1178
00:40:31.500 --> 00:40:34.000
- piano, the one thing I could never do,

1179
00:40:34.619 --> 00:40:37.199
- you could not you cannot give somebody Goldberg's

1180
00:40:37.340 --> 00:40:37.840
- variations

1181
00:40:38.860 --> 00:40:40.159
- to teach them piano.

1182
00:40:41.019 --> 00:40:42.079
- There's no success.

1183
00:40:42.539 --> 00:40:43.039
- Right?

1184
00:40:43.500 --> 00:40:44.639
- It's it's scales.

1185
00:40:44.940 --> 00:40:47.215
- Like, okay, I can do scales all day

1186
00:40:47.215 --> 00:40:50.114
- long. I know the technique. Whatever, whatever.

1187
00:40:50.574 --> 00:40:52.275
- Unless I see incremental

1188
00:40:52.574 --> 00:40:53.074
- success

1189
00:40:54.255 --> 00:40:55.074
- over time

1190
00:40:55.614 --> 00:40:58.255
- at doing something, my interest level is going

1191
00:40:58.255 --> 00:40:58.914
- to wane

1192
00:40:59.429 --> 00:41:00.089
- very quickly.

1193
00:41:00.710 --> 00:41:03.530
- So people need to be very intentional about

1194
00:41:04.150 --> 00:41:06.710
- finding those things. Right? Like, to even get

1195
00:41:06.710 --> 00:41:07.690
- away from coding

1196
00:41:08.150 --> 00:41:09.929
- to get towards more towards networking,

1197
00:41:10.710 --> 00:41:13.034
- don't just throw logs at the AI and

1198
00:41:13.114 --> 00:41:14.894
- say, tell me what's wrong with my network.

1199
00:41:16.155 --> 00:41:18.894
- Throw logs at the AI and say, alright.

1200
00:41:18.954 --> 00:41:21.775
- I've noticed this application might be running slow.

1201
00:41:22.554 --> 00:41:24.094
- You know? I've noticed

1202
00:41:24.394 --> 00:41:26.875
- a problem in this area. I'm gonna ask

1203
00:41:26.875 --> 00:41:28.255
- very specific questions

1204
00:41:28.730 --> 00:41:31.069
- based on my understanding of networks

1205
00:41:32.329 --> 00:41:34.030
- that's going to tease information

1206
00:41:34.409 --> 00:41:36.969
- out of the AI, which then gives me

1207
00:41:36.969 --> 00:41:37.789
- a success.

1208
00:41:38.969 --> 00:41:40.960
- It's a narrow success, but it's a success.

1209
00:41:41.210 --> 00:41:42.030
- Matt Oswald?

1210
00:41:42.704 --> 00:41:44.625
- Yes. Mhmm. So Matt Oswald, when he was

1211
00:41:44.625 --> 00:41:46.465
- doing the NRE Labs thing, which was, like,

1212
00:41:46.465 --> 00:41:48.625
- such an awesome project, like, that was that

1213
00:41:48.625 --> 00:41:51.265
- was he used to say that the one

1214
00:41:51.265 --> 00:41:53.025
- of the hard things about automation, I'll just

1215
00:41:53.184 --> 00:41:54.465
- you know, I would expand it. I would

1216
00:41:54.465 --> 00:41:56.280
- say it's true in AI as well, is

1217
00:41:56.360 --> 00:41:57.559
- Is that to some extent, you have to

1218
00:41:57.559 --> 00:41:59.079
- be an expert before you're allowed to be

1219
00:41:59.079 --> 00:41:59.739
- a beginner.

1220
00:42:00.199 --> 00:42:00.699
- Yep.

1221
00:42:01.480 --> 00:42:03.400
- And, like, I whenever he he he said

1222
00:42:03.400 --> 00:42:04.840
- that, it was such a simple thing to

1223
00:42:04.840 --> 00:42:07.000
- say. And and but, like, it stuck with

1224
00:42:07.000 --> 00:42:08.760
- me. Like, there's so many disciplines where it's

1225
00:42:08.760 --> 00:42:10.735
- like we and then you're going back to

1226
00:42:10.735 --> 00:42:12.835
- the beginning of this whole conversation. Like, when

1227
00:42:13.054 --> 00:42:15.375
- when Yvonne talks about that gap at at

1228
00:42:15.375 --> 00:42:16.434
- at k y nug,

1229
00:42:17.135 --> 00:42:18.655
- do you call it kynug? Like, is that

1230
00:42:18.655 --> 00:42:19.635
- a is that a

1231
00:42:20.974 --> 00:42:22.434
- like, I don't know how to

1232
00:42:22.869 --> 00:42:23.369
- right.

1233
00:42:23.909 --> 00:42:25.050
- At at that place,

1234
00:42:27.269 --> 00:42:27.769
- the

1235
00:42:28.070 --> 00:42:31.030
- that gap, like like, the further ahead the

1236
00:42:31.030 --> 00:42:33.109
- leading people get, the more those two lines

1237
00:42:33.109 --> 00:42:35.335
- diverge, the harder it is to get started.

1238
00:42:35.875 --> 00:42:37.795
- Like, I I almost feel like if if

1239
00:42:37.795 --> 00:42:40.375
- people don't don't figure that part out now,

1240
00:42:40.994 --> 00:42:42.355
- then, like, you you're gonna have to be

1241
00:42:42.355 --> 00:42:43.974
- an Olympic athlete at some point.

1242
00:42:44.594 --> 00:42:45.795
- Yeah. I don't I don't Well, I I

1243
00:42:45.795 --> 00:42:46.855
- mean, I think eventually,

1244
00:42:47.554 --> 00:42:48.534
- like, an ecosystem

1245
00:42:48.994 --> 00:42:52.030
- will develop that allows people to

1246
00:42:52.570 --> 00:42:54.349
- catch up to a degree.

1247
00:42:54.809 --> 00:42:56.570
- But the people that are gonna have the

1248
00:42:56.570 --> 00:42:57.630
- outside success

1249
00:42:58.329 --> 00:43:00.650
- are the are the the the people doing

1250
00:43:00.650 --> 00:43:04.005
- it Well, it'll be now. So a vendor

1251
00:43:04.005 --> 00:43:05.684
- will take this and they will pack it.

1252
00:43:05.684 --> 00:43:07.385
- And then the cost of that packaging

1253
00:43:07.764 --> 00:43:09.364
- will quite literally be the cost of that

1254
00:43:09.364 --> 00:43:10.885
- packaging. Like, you will literally have to pay

1255
00:43:10.885 --> 00:43:13.125
- more for it. Yeah. You will lose a

1256
00:43:13.125 --> 00:43:15.704
- bunch of flexibility. Your operations will be

1257
00:43:16.150 --> 00:43:18.630
- whatever they essentially enable them to be. And

1258
00:43:18.630 --> 00:43:20.889
- I think when people do that, you're abdicating

1259
00:43:21.030 --> 00:43:22.949
- control and you're saying that my fate is

1260
00:43:22.949 --> 00:43:24.949
- now like, I will accept whatever you hand

1261
00:43:24.949 --> 00:43:26.010
- me as my fate.

1262
00:43:26.309 --> 00:43:28.309
- And I think that that actually works. People

1263
00:43:28.309 --> 00:43:29.909
- can as as long as as long as

1264
00:43:29.909 --> 00:43:32.054
- people move in the direction you want and

1265
00:43:32.054 --> 00:43:33.414
- at a pace that you're comfortable with, I

1266
00:43:33.414 --> 00:43:35.175
- think that actually works for some people. And

1267
00:43:35.175 --> 00:43:37.014
- we've seen that with, you know, insert vendor

1268
00:43:37.014 --> 00:43:38.695
- name here and there. Yeah. I think when

1269
00:43:38.695 --> 00:43:40.875
- it doesn't serve you and, you know, like

1270
00:43:41.094 --> 00:43:43.094
- you know, so so Tom's day job, he's

1271
00:43:43.094 --> 00:43:45.255
- got things that he does because it didn't

1272
00:43:45.255 --> 00:43:45.755
- serve.

1273
00:43:46.769 --> 00:43:48.150
- Right? Like, I think it

1274
00:43:48.530 --> 00:43:50.289
- I I think it's not right for everybody,

1275
00:43:50.289 --> 00:43:51.410
- and people are gonna have to opt in.

1276
00:43:51.410 --> 00:43:52.930
- Like, am I gonna am I gonna float

1277
00:43:52.930 --> 00:43:55.090
- along the lazy river with, you know, with

1278
00:43:55.090 --> 00:43:56.469
- with my vendor, you know,

1279
00:43:56.849 --> 00:43:57.349
- floaty?

1280
00:43:57.969 --> 00:43:59.670
- Or am I gonna, you know, swim

1281
00:44:00.105 --> 00:44:01.465
- and go do it and and and go

1282
00:44:01.465 --> 00:44:02.605
- where I wanna go?

1283
00:44:02.905 --> 00:44:04.664
- And the the part that's cool is that

1284
00:44:04.664 --> 00:44:06.105
- not everyone has to have the same answer

1285
00:44:06.105 --> 00:44:07.625
- to that question. Like, there's no judgment. Like,

1286
00:44:07.625 --> 00:44:09.005
- sitting in a floaty is awesome.

1287
00:44:09.385 --> 00:44:11.385
- And and some of that's just a business

1288
00:44:11.385 --> 00:44:11.885
- decision

1289
00:44:12.344 --> 00:44:12.844
- of

1290
00:44:13.440 --> 00:44:14.260
- how different

1291
00:44:14.880 --> 00:44:15.619
- how differentiating

1292
00:44:15.920 --> 00:44:18.900
- is this capability for me, and does it

1293
00:44:19.359 --> 00:44:22.260
- enable me to generate outsized revenue

1294
00:44:22.639 --> 00:44:23.380
- or not?

1295
00:44:23.920 --> 00:44:26.079
- And the industry is just not mature enough

1296
00:44:26.079 --> 00:44:27.974
- yet to answer that question. It's just we're

1297
00:44:27.974 --> 00:44:29.574
- just not there yet. I think we'll get

1298
00:44:29.574 --> 00:44:30.734
- there. But Yeah.

1299
00:44:31.574 --> 00:44:32.074
- Yeah.

1300
00:44:32.375 --> 00:44:34.295
- So what scares me, the other thing I

1301
00:44:34.295 --> 00:44:36.454
- was gonna say there, Yvonne, was when people

1302
00:44:36.454 --> 00:44:38.474
- say things when you say, like, okay.

1303
00:44:39.414 --> 00:44:40.855
- We're gonna get to the point where the

1304
00:44:40.855 --> 00:44:42.829
- AI does the coding and we just use

1305
00:44:42.829 --> 00:44:43.489
- the product,

1306
00:44:43.869 --> 00:44:46.349
- is that then we say we need systems

1307
00:44:46.349 --> 00:44:49.090
- level engineering, we need systems level thinking.

1308
00:44:49.630 --> 00:44:52.349
- But the only way I know to build

1309
00:44:52.349 --> 00:44:53.570
- systems level thinking

1310
00:44:54.110 --> 00:44:55.329
- is to build systems.

1311
00:44:56.445 --> 00:44:58.385
- I don't know any other way.

1312
00:44:59.085 --> 00:45:01.565
- I I I I literally I've been in

1313
00:45:01.565 --> 00:45:02.625
- the training world

1314
00:45:03.085 --> 00:45:04.765
- way before I came and when I was

1315
00:45:04.765 --> 00:45:06.545
- in the air force, I was teaching people

1316
00:45:06.765 --> 00:45:08.699
- radar systems and stuff like this.

1317
00:45:09.579 --> 00:45:11.679
- And literally, the only way I know

1318
00:45:12.300 --> 00:45:14.719
- how to teach people systems level thinking

1319
00:45:15.019 --> 00:45:16.859
- is to get them to go through the

1320
00:45:16.859 --> 00:45:17.359
- exercise

1321
00:45:18.059 --> 00:45:19.599
- of building a system.

1322
00:45:20.300 --> 00:45:23.335
- And when we throw off and when we

1323
00:45:23.335 --> 00:45:25.914
- throw off the system building to the AI,

1324
00:45:26.855 --> 00:45:29.015
- I don't know where the next generation of

1325
00:45:29.015 --> 00:45:29.515
- people

1326
00:45:29.974 --> 00:45:32.875
- who know how to build systems comes from.

1327
00:45:33.335 --> 00:45:35.515
- That's that's I think that's a yet unsolved

1328
00:45:35.575 --> 00:45:38.280
- problem because we know, like, we need lots

1329
00:45:38.280 --> 00:45:40.699
- of, like in the coding example, like,

1330
00:45:41.000 --> 00:45:42.699
- senior developers are the most,

1331
00:45:43.079 --> 00:45:43.579
- successful

1332
00:45:44.039 --> 00:45:46.860
- with these tools right now. We are actually

1333
00:45:47.400 --> 00:45:49.880
- we don't need as many junior developers, but

1334
00:45:49.880 --> 00:45:52.144
- without junior developers, how do we get senior

1335
00:45:52.144 --> 00:45:54.065
- developers? Like, that, I think, is a yet

1336
00:45:54.065 --> 00:45:56.704
- unsolved problem. I Well, I I I don't

1337
00:45:56.704 --> 00:45:57.764
- know the answer. Nobody,

1338
00:45:58.224 --> 00:46:01.105
- like, nobody builds a system by themselves anyway.

1339
00:46:01.105 --> 00:46:03.039
- Doesn't matter if you're the smartest guy at

1340
00:46:03.039 --> 00:46:05.440
- at Hyperscaler x. Somebody had to even if

1341
00:46:05.440 --> 00:46:06.880
- you came up with the whole company on

1342
00:46:06.880 --> 00:46:07.460
- a whiteboard,

1343
00:46:07.920 --> 00:46:10.239
- somebody had to go actually do it and

1344
00:46:10.239 --> 00:46:12.319
- it wasn't you. Like Yeah. And and it

1345
00:46:12.319 --> 00:46:13.839
- can be this I know there's a lot

1346
00:46:13.839 --> 00:46:15.440
- of there are people that think that I'm

1347
00:46:15.440 --> 00:46:17.034
- the smartest person in the company. I'll draw

1348
00:46:17.034 --> 00:46:18.954
- the white board. Everybody else will execute. It

1349
00:46:18.954 --> 00:46:21.135
- doesn't actually work like that. And so Never.

1350
00:46:21.675 --> 00:46:23.914
- Like if you if the idea of building

1351
00:46:23.914 --> 00:46:25.355
- a system is that you're the only one

1352
00:46:25.355 --> 00:46:27.514
- doing it, that's false. And so someone else

1353
00:46:27.514 --> 00:46:29.195
- is gonna be the built doing doing the

1354
00:46:29.195 --> 00:46:29.695
- building

1355
00:46:30.260 --> 00:46:32.739
- and Right. Like so so I guess what

1356
00:46:32.739 --> 00:46:33.800
- I'm saying is

1357
00:46:34.339 --> 00:46:36.579
- why couldn't you learn by analysis because you're

1358
00:46:36.579 --> 00:46:38.339
- not building it all yourself anyway. Even you

1359
00:46:38.339 --> 00:46:40.179
- might think you are but you're actually not.

1360
00:46:40.179 --> 00:46:42.420
- You're learning from other people's experience. You're seeing

1361
00:46:42.420 --> 00:46:44.679
- other people implement your things like,

1362
00:46:45.335 --> 00:46:47.335
- white people learn by analysis. But there's a

1363
00:46:47.335 --> 00:46:48.315
- difference between

1364
00:46:49.494 --> 00:46:51.654
- like, I'll tell you that when you sit

1365
00:46:51.654 --> 00:46:53.594
- in a room with 20 people

1366
00:46:54.135 --> 00:46:56.154
- and one person sitting in the back

1367
00:46:56.454 --> 00:46:58.154
- and not actually participating

1368
00:46:58.929 --> 00:47:01.030
- and doing any of the design work,

1369
00:47:01.329 --> 00:47:02.949
- taking on any of the components

1370
00:47:03.489 --> 00:47:05.750
- and figuring out how those components interact,

1371
00:47:06.449 --> 00:47:07.429
- they're not learning.

1372
00:47:08.530 --> 00:47:10.449
- And they're not gonna be successful in the

1373
00:47:10.449 --> 00:47:13.010
- long term. And the danger with AI that

1374
00:47:13.010 --> 00:47:15.275
- I see, one of the dangers I see

1375
00:47:15.275 --> 00:47:16.815
- is that people do that.

1376
00:47:17.355 --> 00:47:20.095
- Build me an app that does this. Sure.

1377
00:47:20.954 --> 00:47:21.454
- Okay.

1378
00:47:21.914 --> 00:47:24.235
- And then they're like, okay. Yeah. Yeah. Oh,

1379
00:47:24.235 --> 00:47:26.414
- I'm gonna go analyze the code later.

1380
00:47:26.795 --> 00:47:28.329
- Trust me. You won't.

1381
00:47:28.630 --> 00:47:30.789
- Yep. It's gonna be Trust me. You won't.

1382
00:47:30.869 --> 00:47:32.630
- Was with that. Like, once you have to

1383
00:47:32.630 --> 00:47:34.250
- scale it, like, the

1384
00:47:35.190 --> 00:47:37.429
- even if AI is fast, like, reinventing the

1385
00:47:37.429 --> 00:47:38.710
- app every time you need to scale it

1386
00:47:38.710 --> 00:47:39.449
- a little bit

1387
00:47:39.989 --> 00:47:41.590
- Yeah. Probably not the the most optimal way

1388
00:47:41.590 --> 00:47:42.974
- to get there. So I I think you

1389
00:47:42.974 --> 00:47:44.375
- have to learn from it. I thought I

1390
00:47:44.375 --> 00:47:46.855
- thought Tom's comments earlier about, you know, start

1391
00:47:46.855 --> 00:47:48.635
- with AI and then let it, you know,

1392
00:47:48.695 --> 00:47:50.235
- learn from AI and then

1393
00:47:50.614 --> 00:47:52.215
- and then sort of iterate and move on.

1394
00:47:52.215 --> 00:47:53.735
- To me, that's consistent with how you learn

1395
00:47:53.735 --> 00:47:55.034
- anyway. Yep.

1396
00:47:57.280 --> 00:47:59.519
- Yeah. Yeah. But I I just don't I

1397
00:47:59.519 --> 00:48:00.339
- I get really,

1398
00:48:00.719 --> 00:48:02.339
- like, we can't be passive

1399
00:48:03.359 --> 00:48:04.099
- in this.

1400
00:48:04.480 --> 00:48:07.219
- Right. Right? That's not our goal as humans.

1401
00:48:07.679 --> 00:48:09.619
- I think what we're learning, actually,

1402
00:48:09.920 --> 00:48:12.315
- is that folks that are being successful with

1403
00:48:12.614 --> 00:48:14.554
- AI, their cognitive load isn't decreasing.

1404
00:48:15.494 --> 00:48:16.394
- It's increasing.

1405
00:48:17.255 --> 00:48:19.675
- And this is a conversation for another show,

1406
00:48:19.974 --> 00:48:23.989
- but it's actually we're seeing increased burnout. And

1407
00:48:24.449 --> 00:48:27.030
- everybody who's effectively using AI

1408
00:48:28.210 --> 00:48:29.809
- and is deep into it says they're not

1409
00:48:29.809 --> 00:48:31.510
- working less, they're working more.

1410
00:48:31.889 --> 00:48:34.130
- And so there's a whole set of, like,

1411
00:48:34.130 --> 00:48:35.670
- socio technical problems

1412
00:48:36.255 --> 00:48:38.014
- that we're gonna have to figure out how

1413
00:48:38.014 --> 00:48:39.394
- to solve because

1414
00:48:40.734 --> 00:48:42.994
- our our brains need margin

1415
00:48:43.694 --> 00:48:46.414
- and you can't be doing high cognitive load

1416
00:48:46.414 --> 00:48:46.914
- tasks

1417
00:48:47.534 --> 00:48:49.989
- the entire day. You know, when I get

1418
00:48:49.989 --> 00:48:51.929
- when I get kind of in this

1419
00:48:52.549 --> 00:48:55.109
- brain fog space where I've overdone it, I

1420
00:48:55.109 --> 00:48:57.210
- go and, like, approve expense reports

1421
00:48:57.829 --> 00:48:59.289
- or do some kind of

1422
00:48:59.989 --> 00:49:03.785
- mundane routine task. You need new hobbies. I

1423
00:49:03.885 --> 00:49:05.724
- know. I mean, this is in my this

1424
00:49:05.724 --> 00:49:07.885
- is this is in my day job. I

1425
00:49:07.885 --> 00:49:10.125
- go for a walk. I water my plants.

1426
00:49:10.125 --> 00:49:11.825
- You know, something like that.

1427
00:49:13.644 --> 00:49:16.045
- And we've still got to have that kind

1428
00:49:16.045 --> 00:49:16.704
- of margin

1429
00:49:17.360 --> 00:49:19.920
- as humans to be able to function. And

1430
00:49:19.920 --> 00:49:21.599
- I we that's something else we've not figured

1431
00:49:21.599 --> 00:49:24.079
- out yet. So That's actually another show, and

1432
00:49:24.079 --> 00:49:26.320
- we should talk about that because that's so

1433
00:49:26.320 --> 00:49:28.079
- I I'll we'll do the other show, but

1434
00:49:28.079 --> 00:49:29.599
- I just wanna throw at something that that

1435
00:49:29.599 --> 00:49:31.199
- made me think of Yvonne. The the first

1436
00:49:31.199 --> 00:49:33.105
- time I ever took off an

1437
00:49:33.644 --> 00:49:35.965
- airplane, with myself at the controls. And I

1438
00:49:35.965 --> 00:49:37.644
- had my friend with me who is not

1439
00:49:37.644 --> 00:49:40.204
- an instructor, and and he was kind enough

1440
00:49:40.204 --> 00:49:41.664
- to let me learn some experience.

1441
00:49:42.045 --> 00:49:43.485
- I just remember it was and I don't

1442
00:49:43.485 --> 00:49:45.164
- know if y'all have ever fun, but, like,

1443
00:49:45.164 --> 00:49:46.684
- there is so many things going on at

1444
00:49:46.684 --> 00:49:48.059
- once. And the first time you do it,

1445
00:49:48.059 --> 00:49:50.460
- it is it is crazy. It is to

1446
00:49:50.460 --> 00:49:52.219
- experience pilots say, yeah, whatever. But when you're

1447
00:49:52.219 --> 00:49:53.500
- doing it for the first time and he

1448
00:49:53.500 --> 00:49:55.340
- made the comment, after we got up in

1449
00:49:55.340 --> 00:49:56.940
- the air and everything was fine. He's like,

1450
00:49:56.940 --> 00:49:59.019
- oh, you're and he's like he's like shouting

1451
00:49:59.019 --> 00:50:00.219
- at me and stuff. Like, do this. Don't

1452
00:50:00.219 --> 00:50:01.900
- do that. I'm like, what the and and

1453
00:50:01.900 --> 00:50:03.340
- he made the comment. He's like, yeah. Your

1454
00:50:03.340 --> 00:50:05.585
- CPU is like a 110, 120%.

1455
00:50:05.585 --> 00:50:07.664
- Right? And and I was like, oh, yeah.

1456
00:50:07.664 --> 00:50:09.125
- But but it was still

1457
00:50:09.664 --> 00:50:11.585
- that 110, 120%

1458
00:50:11.585 --> 00:50:14.405
- phase did end pretty quickly into the exercise.

1459
00:50:15.025 --> 00:50:16.304
- And then it dropped down to a more

1460
00:50:16.304 --> 00:50:19.510
- manageable 90 or 95. And so, like, that

1461
00:50:19.589 --> 00:50:20.730
- I I think the

1462
00:50:22.230 --> 00:50:24.550
- organizing yourself and and doing your work in

1463
00:50:24.550 --> 00:50:26.949
- a way that that acknowledges that is gonna

1464
00:50:26.949 --> 00:50:29.190
- be pretty critical. But if you if you're

1465
00:50:29.190 --> 00:50:30.550
- able to do it, you'll be able to

1466
00:50:30.550 --> 00:50:31.914
- go for the long haul and see the

1467
00:50:31.914 --> 00:50:33.434
- curves start to go back up. You know?

1468
00:50:33.434 --> 00:50:35.914
- Yeah. I'm not entirely certain AI is built

1469
00:50:35.914 --> 00:50:38.255
- that way. But, again, that's like we should

1470
00:50:38.554 --> 00:50:40.154
- we should actually do a whole school. That's

1471
00:50:40.154 --> 00:50:42.714
- an interesting discussion. We should get Mike back

1472
00:50:42.714 --> 00:50:43.214
- on

1473
00:50:44.394 --> 00:50:47.500
- to talk about that. Managing cognitive load when

1474
00:50:47.500 --> 00:50:50.400
- it comes to using AI systems. Love it.

1475
00:50:50.699 --> 00:50:51.839
- Yeah. Yeah.

1476
00:50:52.380 --> 00:50:53.359
- Thanks. Mike.

1477
00:50:55.739 --> 00:50:57.980
- My CPU is at a 110%.

1478
00:50:57.980 --> 00:50:58.934
- That one feels hard.

1479
00:51:00.215 --> 00:51:01.655
- Well, that's because we're at the end of

1480
00:51:01.655 --> 00:51:03.494
- this one. They just need to come back

1481
00:51:03.494 --> 00:51:05.695
- fresh after you've taken a walk or proof

1482
00:51:06.135 --> 00:51:07.675
- proof some expense for something.

1483
00:51:10.055 --> 00:51:12.539
- Scheduler thrashing in process scheduler.

1484
00:51:13.239 --> 00:51:15.579
- There you go. That's that's what it is.

1485
00:51:15.960 --> 00:51:17.799
- Alright. Cool. Well, I think we beat this

1486
00:51:17.799 --> 00:51:20.380
- horse till it's time to dismount it.

1487
00:51:21.799 --> 00:51:23.719
- We'll get Mike back on to talk about

1488
00:51:23.719 --> 00:51:24.619
- the other topic

1489
00:51:25.284 --> 00:51:27.364
- and find other cool things to talk about.

1490
00:51:27.364 --> 00:51:29.385
- So okay. Tom, say your word.

1491
00:51:30.005 --> 00:51:31.925
- The word is LinkedIn. That's where you can

1492
00:51:31.925 --> 00:51:33.545
- find me. That's where

1493
00:51:34.005 --> 00:51:35.545
- everybody can find Tom is LinkedIn.

1494
00:51:36.005 --> 00:51:36.505
- Yvonne.

1495
00:51:37.420 --> 00:51:37.920
- Yeah.

1496
00:51:38.300 --> 00:51:39.039
- On LinkedIn,

1497
00:51:39.579 --> 00:51:42.380
- I do more trolling of Twitter x these

1498
00:51:42.380 --> 00:51:44.300
- days than I do posting, but I am

1499
00:51:44.300 --> 00:51:46.880
- around. So, feel free to reach out.

1500
00:51:47.420 --> 00:51:49.724
- And, you where is your other podcast? What's

1501
00:51:49.724 --> 00:51:52.125
- going on? Oh, oh, the Cloud Gambit. Yeah.

1502
00:51:52.125 --> 00:51:53.565
- Over on Packet Pushers. I

1503
00:51:54.045 --> 00:51:56.845
- silly. I didn't mention it. Yeah. There we

1504
00:51:56.845 --> 00:51:59.965
- talk about cloudy stuff and AI stuff and,

1505
00:52:00.204 --> 00:52:01.885
- you know, more of this these kind of

1506
00:52:01.885 --> 00:52:03.724
- things, William Collins and I. We always have

1507
00:52:03.724 --> 00:52:04.889
- on an interesting guest,

1508
00:52:05.289 --> 00:52:06.429
- so check us out there.

1509
00:52:06.730 --> 00:52:08.889
- Awesome. And, Mike, I don't think you have

1510
00:52:08.889 --> 00:52:11.049
- any blogs or anything. Right? You're still kind

1511
00:52:11.049 --> 00:52:11.130
- of

1512
00:52:11.929 --> 00:52:13.869
- I backed off the socials. Like,

1513
00:52:14.409 --> 00:52:16.510
- link LinkedIn is where I'm at. Just

1514
00:52:17.144 --> 00:52:18.905
- if you're gonna reach out to me, don't

1515
00:52:18.905 --> 00:52:22.505
- use AI. And for god's sake, please don't

1516
00:52:22.905 --> 00:52:25.324
- it cannot be a sentence, a carriage return,

1517
00:52:25.385 --> 00:52:27.244
- a sentence, a carriage return.

1518
00:52:27.784 --> 00:52:29.625
- There's, like, a bunch of hashtags at the

1519
00:52:29.625 --> 00:52:31.704
- end. Like, just be a be a person,

1520
00:52:31.704 --> 00:52:32.844
- and I'm happy to.

1521
00:52:33.679 --> 00:52:36.799
- And and I will just add the the

1522
00:52:36.799 --> 00:52:37.299
- high

1523
00:52:37.599 --> 00:52:40.960
- by itself with nothing else is also not

1524
00:52:40.960 --> 00:52:41.460
- recommended.

1525
00:52:46.559 --> 00:52:48.554
- I used to have this friend who it

1526
00:52:48.635 --> 00:52:49.994
- people would walk up to him and say,

1527
00:52:49.994 --> 00:52:51.775
- yo. And he'd say, yo. Yo.

1528
00:52:52.714 --> 00:52:55.135
- Like, what? What am I supposed to do?

1529
00:52:55.514 --> 00:52:58.255
- You have intelligence. There's some intelligence right there.

1530
00:52:59.434 --> 00:53:01.530
- Like, what? What do I do with that?

1531
00:53:01.849 --> 00:53:03.610
- Alright. Well, I'm Russ White. You can find

1532
00:53:03.610 --> 00:53:05.789
- me here at the hedge on rule11.tech.

1533
00:53:06.170 --> 00:53:09.309
- Occasionally on x, I log in to LinkedIn

1534
00:53:09.530 --> 00:53:10.590
- every now and again

1535
00:53:11.050 --> 00:53:11.550
- and

1536
00:53:12.010 --> 00:53:14.809
- packet pushers and here and there. And so

1537
00:53:14.809 --> 00:53:16.170
- feel free to reach out to me if

1538
00:53:16.170 --> 00:53:17.864
- you have questions, thoughts, or whatever.

1539
00:53:18.325 --> 00:53:19.925
- And we know that we live in an

1540
00:53:19.925 --> 00:53:21.144
- attention driven economy.

1541
00:53:21.684 --> 00:53:23.765
- And so, therefore, we thank you for listening

1542
00:53:23.765 --> 00:53:25.204
- all the way to this the bitter end

1543
00:53:25.204 --> 00:53:27.045
- of this episode of The Hedge, and we

1544
00:53:27.045 --> 00:53:28.105
- will catch you next

1545
00:53:41.809 --> 00:53:42.017
- time.