Mark Zuckerberg's AI strategy, it is all about openness, transparency, collaboration, democratization.

This technology is so important and the opportunities are so great that we should open source and make it as widely available

as we responsibly can so everyone can benefit.

He wants to open up AI to everyone, but should we trust him and just how open is his AI anyway.

This week on Tech Check we are breaking down the myth of open source.

While chat gee B. T is source. While ChatGBT is quickly becoming a household name, Meta's version of AI brings

to mind a tall woolly long-necked animal. But among developers, those working in the AI trenches,

Meta's open source model called Lama

is the hottest thing around.

Meta is also

open source AI, big technology company

and it's really paying dividends in the public image.

Wall Street is also waking up to Meta's AI proposition.

Its stock over the last year has well outperformed

Googles and Microsofts.

But calling Meta's AI system open, is only part of the story.

We're here to break down the promise and the myth. In its purest most simplified definition,

open source is where the source or the underlying code is freely available to access copy, modify, redistribute.

Close software on the flip side means that the source code is only accessible to its creators and fully controlled by them.

What data was used to train SORA?

We used publicly available data and licensed data.

So videos on YouTube?

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