This is CBSI on the world.

I'm John Batchel.

I welcome my colleague Chris Regal, CEO of Scholar.com, a global technology firm,

business on all the major continents, and intimately involved in the development of what we now generally call AI.

Chris, a very good day to you.

A report done recently by a National Institute

looking at the claims that Deepseek made

when it first revealed itself as faster, cheaper, better

than the comparable examples at, say, Microsoft or Google are certainly the comparable examples

of combining NVIDIA's chips with TSM's making of those chips with ASMLs, making of the

fabs that make those chips. The whole chain leading to results that were cheaper, and everybody noticed

that right away, the market certainly reacted immediately thinking, oh, wait a minute, we're

spending too much money for the same result. And then, so the question raised by this recent

study is the non-transparency of Deep Seek and the possibility that they were,

let's say, taking a ride on a horse named NVIDIA.

Can you help us understand what the issues are about Deep Seek, the questions that still need to be answered?

Good evening to you. Good evening, John. When Deep Seek, the questions that still need to be answered. Good evening, too.

Good evening, John.

When Deep Seek came out with its first models publicly, it was a very interesting moment,

kind of like the Sputnik moment for AI within the U.S.,

where this Chinese upstart seemed to have some incredibly remarkable results

using a more innovative strategy or more innovative approach towards AI, and the fear in the

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