Matthew Brockman
speaker
798 appearances
7 recordings
1 series
first heard Apr 2022
last heard 24 Sep
Matthew Brockman’s voice in public audio — every appearance, attributed to the second.
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Appearances
Orbit - An Hg software leadership podcast · Quick and dirty prototypes with Andrew Ng · 18 Mar 2025
podcast
Obviously a lot of talk in the last year or so around, I guess, pace of development and also cost of models and cost of sort of application, right?
Cost of products, I guess.
Even a month ago we had the news from China, Deep Seek, you know, the sort of the sense of just it's so much cheaper now to access the the capability.
Do you think that continues?
Do you see a reason why that slows?
How do you think about the sort of the next one, two, three years, which feels like, you know, a decade in in normal technology language?
Like how did
How do you see that evolving?
One of the pieces of feedback I guess we've had coming back from some of our investie companies is the models are still evolving at such pace.
How do I how do I build application or how do I build application that I know is going to ultimately work for my customer or serve a customer need as opposed to, you know, trying to work with something which is more static?
And I think they're hear hearing that from their own customers.
Like, you know, if I build an application that you guys have supplied to me, how do I how do I work with the latest model or the latest technology?
Do you have a perspective on how people should approach that if you're running a a SaaS company or a classic sort of application software company?
We've had this debate over many years, which has always been ever we look at an application software company, yeah, there's always this, you know, could Microsoft kill you or could you know, could one of the big, you know, the big providers, you know, either in in enterprise application software or in, you know, in the in the cloud infrastructure, you know, supplant you.
But ultimately
the nuances of application in a particular industry are so deep, right, that it's actually quite hard if you're s serving a a very horizontal set of use cases.
If it feels like the technology will, you know, continue in that way with even with
know with the capability of the intelligence these models have.
I'd love to pick up on that theme.
So
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