Tech Deep Dive Season 1: Episode 4: "The Rise of Open Source AI"
CAST:

MAYA CHEN — host and tech journalist, skeptically optimistic
DARIUS OKAFOR — open source advocate and ML engineer

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ACT TWO
SCENE 6: PODCAST STUDIO
[AMBIENCE: Quiet studio hum, occasional keyboard clicks in background]
MAYA
So when Meta dropped LLaMA, that was kind of a watershed moment, right? Nobody really saw it coming.
[BEAT]
DARIUS
Nobody in the closed-source world, maybe. The open community had been pushing for this for years. What changed was that the economics finally forced the conversation.
MAYA
(leaning in)
Meaning the cost of training came down enough that hoarding the weights stopped making sense?
DARIUS
Exactly. And once LLaMA was out — even the way it got out — you had thousands of people fine-tuning it within weeks. That's not something OpenAI can replicate internally.
[SFX: Coffee mug set down on desk]
MAYA
But there's a real tension here. Openness accelerates capability. And capability without guardrails...
DARIUS
(finishing the thought)
...is the thing everyone's quietly terrified about. Yeah.
[BEAT — 3 SECONDS]
MAYA
We'll get into the safety implications right after the break.
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