why aren't all 7 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Prediction Not checkable as stated
O'Driscoll: Meta won't build a major business selling LLaMA APIs
“It's not that they want to open source Lama and make money off it. They won't. It's not that they want to even have an API offering of Lama, something like, you know, a, an anthropic offering that just won't be big.”
What-if
Douwe Kiela: The open-source AI ecosystem exists solely due to Meta's LLaMA
“This whole flourishing that you see right now of open source models that basically comes from Meta's generosity in giving Lama away for free. And if they hadn't done that, then you wouldn't see that.”
Opinion
Stebbings: Meta's productization of Llama AI models has been very poor
“I would say that Facebook is the same like Lama and the productization around Lama has been bluntly very, very poor at the moment.”
Opinion
Stebbings: Meta open-sources Llama because its true value is proprietary data
“Why does Facebook open source Lama? Because the values in the data that they have. A hundred percent.”
Assertion Supported
Douwe Kiela: Meta's Original LLaMA Was Trained Entirely on Open Data
“So the LAMA model was not trained on any proprietary data. It was just trained on open data on the web.”
Assertion Supported
Douwe Kiela: Meta's LLaMA model used zero proprietary training data
“So the Lama model was not trained on any proprietary data. It was just trained on open data on the web”
Assertion Partly supported
Delangue: 10 of 13 Meta LLaMA Authors Are Based in Paris
“I don't have the exact number, but I think 10 out of the 13 authors of Lama are actually based in, in Paris, right? In, in the Meta AI, lab that, that they have there that is huge.”