Nikesh Arora
speaker
2,918 appearances
12 recordings
8 series
first heard Nov 2025
last heard 6 Aug
Nikesh Arora’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 — 12 in all, peaking in Jun 2026 with 5.
Appearances
They can allow you to pick the best model for the right task.
Those orchestration layers have to get smarter and smarter.
They have to understand the context.
They have to understand the memory.
So the question is, do I store my memory and context in the orchestration layer, or do I store that in the frontier model?
No, I think that the challenge is right now the frontier models know this problem and they're aggressively moving to incorporate memory and context into their models because they understand that's the mode.
And the challenge is you have to pay for it twice.
If you say, no, I don't want to use your memory and context, the model may not be usable if you use an orchestration layer.
The orchestration layer today is not as well funded as these models.
Risk is you end up in architecture where the model has a lot of context and you cannot be model agnostic.
You actually be model captive to get maximum efficacy and value for what you want to get done.
So you have a choice.
You have to go all in on the model or you can't go all in on the model.
You can't do with one what you can do with the other.
And if you want to do with the other, you have to redesign an entire application that is deeply embedded with the capabilities of the second one.
So in the world of bifurcation and horses for courses, I think open source is a good thing because it allows you to play the cost curve.
You don't need the smartest model to do the smartest thing.
Open source is good.
Whether it comes from a certain country or not, the question becomes, what back doors are you worried about that these open sources models have?
What are you worried about that?
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