Jim Zemlin
speaker
190 appearances
1 recordings
1 series
first heard Dec 2025
last heard 27 Dec
Jim Zemlin’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.
Appearances
sort of wants to be built upon.
Having that technology at a neutral place like the Agentic AI Foundation, where the whole industry is making decisions about how to invest.
And and when I mean in when I say investment, I don't mean like becoming a member of the foundation because you don't need to become a member to participate on the technical side.
It's decisions about, hey, I'm gonna, you know, assign ten of my company's engineers to co develop this.
with your organization, the contributing organization.
And that's a a way that we can all essentially co-develop together and that will provide better support, more development velocity, higher code quality because more people are participating in it.
And that's a massive incentive if you want your technology to actually be used and adopted in industry and get more
more feedback and kind of a a positive feedback loop of great project but gets great products in the market.
That market feedback then, you know, allows companies to make money off of them.
They then
pay engineers to improve the project, better products, more profits, better project, and you know, that's the incentive, uh, which is a pretty high one.
No, I I think that the way we look at uh in this space, and you know, I'll I'll put aside the projects in semiconductor tech and operating system and stuff, but in AI, we think of it sort of like how the market has evolved.
You know, it started with tools like PyTorch and, you know, that the transformer tech that is used to create LLMs.
The the Linux Foundation kind of took a pass on a like frontier model world because
In the open source space, having connection to an internet the internet and some intelligence and a computer, that's sort of entry.
In the world of Frontier LLMs, it's a computer connection to the internet, some intelligence, two billion dollars worth of GPUs and a ton of data.
harder for consortiums to do that kind of work.
So pass.
Uh then you look at how you know reasoning models have come out, need to be, you know, so in in inference world, things need to be scalable.
Okay.
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