Scott: Meta's Llama 2 will be a key building block for AI software
Kevin Scott · AI Copilots and the Future of Knowledge Work with Microsoft's Kevin Scott · Sep 25, 2023 · at 5:28
Kevin Scott, CTO of Microsoft, discusses open source AI models and Microsoft's support for Meta's Llama 2 on Azure.
0:00 / 0:11exact quote · 11.9s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“I think Lama too is just like Lama going to be an important building block that people are going to want to use to build AI software.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Kevin Scott
Scott: OpenAI is by far Microsoft's most important AI partner
“I think if you think about AI, like, by far, in a way, the most important partner we have is is OpenAI.”
Smartphones did not significantly boost knowledge worker productivity
“I don't think the smartphone helped much at all just in terms of productivity and knowledge work.”
Scott: Platform breakthroughs take years to emerge after initial release
“The most valuable things that get done on the platforms are not the things that got deployed in the first year or two of the platform change.”
GitHub Copilot's primary benefit is keeping developers in a flow state
“The thing that it really does in our observation with developers more than anything else is it helps keep them in flow state. Longer than they otherwise would.”
Kevin Scott: Human brain is orders of magnitude more efficient than AI
“We have proof points of, you know, a sort of a 20 watt organ that you know, sits between our ears that, that is artificial general intelligence that is many, many, many orders of magnitude more efficient than the Digital artificial neural networks that we're b…”
Kevin Scott: An AI model is not a standalone product
“Like AI is, Like, model's not a product. Like your understanding as an entrepreneur of, like, you know, who is your user? Like, what is their problem? Like, what can you do to help them? And then, like, determining whether or not this AI stuff is actually a us…”