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Is Your Data Serving Someone Else's Roadmap with Luc Betbeder-Maitbet
Show Resources:
Follow Jono Staff on LinkedIn
Follow Naran McClung on LinkedIn
Cloud Reset’s YouTube Channel
Contact us at [email protected] with any questions, suggestions, or corrections.
And don't forget to rate/review!
Episode Summary:As generative AI systems mature, the conversation is shifting—from what they can do, to what (and who) they’re trained on.
In this episode, Luc Betbeder-Matibet, President of the Australasian eResearch Organisations (AeRO), joins Jono and Naran to unpack the broader implications of AI infrastructure, data quality, and sovereign value.
Forget the hyperscale data centres and shiny AI demos for a moment—this is a conversation about control. Control over data. Control over what models learn. Control over where value flows.
Inside this episode:
-
Why “sovereign” needs to mean more than just data residency
-
What it would take for Australia to own the full economic value chain of AI
-
Why we may not know when AGI is achieved—and why that matters
-
Who’s paying (and who should be paid) when public data trains private models
-
Whether the future of trust in AI comes down to who controls the training loop
Luc doesn’t speak in hypotheticals—he’s been inside the systems, built national infrastructure, and counted the GPUs. This episode won’t tell you how to prompt better—it asks whether your data, your infrastructure, and your business are serving someone else’s roadmap.
View all episodes
By Macquarie Cloud ServicesShow Resources:
Follow Jono Staff on LinkedIn
Follow Naran McClung on LinkedIn
Cloud Reset’s YouTube Channel
Contact us at [email protected] with any questions, suggestions, or corrections.
And don't forget to rate/review!
Episode Summary:As generative AI systems mature, the conversation is shifting—from what they can do, to what (and who) they’re trained on.
In this episode, Luc Betbeder-Matibet, President of the Australasian eResearch Organisations (AeRO), joins Jono and Naran to unpack the broader implications of AI infrastructure, data quality, and sovereign value.
Forget the hyperscale data centres and shiny AI demos for a moment—this is a conversation about control. Control over data. Control over what models learn. Control over where value flows.
Inside this episode:
-
Why “sovereign” needs to mean more than just data residency
-
What it would take for Australia to own the full economic value chain of AI
-
Why we may not know when AGI is achieved—and why that matters
-
Who’s paying (and who should be paid) when public data trains private models
-
Whether the future of trust in AI comes down to who controls the training loop
Luc doesn’t speak in hypotheticals—he’s been inside the systems, built national infrastructure, and counted the GPUs. This episode won’t tell you how to prompt better—it asks whether your data, your infrastructure, and your business are serving someone else’s roadmap.