The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 8 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
Clark: Production generative AI adoption will drive dedicated AI ops teams
“I think as we see the rise of these gen AI platforms, we're going to see the rise of more AI ops, the people who have to make sure the system's working and understand when it isn't and then fix it.”
Clark: AI will continue to require supervised learning alongside unsupervised paradigms
“I think there's going to be need for all of it, to be honest. When it comes down to solving a very specific business problem like fraud detection, you don't want the algorithm to learn on its own. Just let a lot of fraud through as you slowly come up with an i…”
Clark: Generative AI platform leaders are traditional machine learning veterans
“A lot of the people who are now in charge of building Gen AI platforms or productionizing these massive use cases are the same people who built those original machine learning systems.”
Clark: Generative shadow AI exposes intellectual property to external SaaS vendors
“And it was a somewhat localized problem because like you're doing data science on your laptop versus now I'm just shipping off secret IP to some SaaS company or something like that.”
Clark: Enterprises avoid high-value AI use cases due to unwieldy risk
“We see some firms attacking the low hanging fruit internal chatbots to like ask questions about HR because they're afraid to take that leap to develop the difficult problem because it's so unwieldy and there is so much risk associated with it. A lot of the mos…”
Clark: Google pays $1 million for talent with deep learning intuition
“This is why Google will pay like a million dollars for someone with 10 years of deep learning experiences is that intuition that's built up.”
Clark: One developer today matches a researcher team from a decade ago
“A single person can do now what would have taken a team of researchers a decade ago.”
Clark: Enterprises are moving from generative AI prototypes to centralized platforms
“One thing that we've seen that's really interesting over the last year, year and a half is people have started to shift from kind of science project prototype land where they have a bunch of individual teams trying to roll their own stack and trying to like bu…”