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
Insight
Liu: Point-solution AI touches only a fraction of enterprise workflows
“I think that, that, you know, you'll have some use cases addressed through solution companies that can be very big you know each individually. And yet, you know, I still think even if you added all of them up, they're still tapping into such a small fraction o…”
Prediction Not checkable as stated
Liu: Code-gen agents will not replace no-code platforms short of AGI
“I'm just very strongly of the belief that short of AGI, I think we're gonna have a really hard time having fully automated you know, Cogen agents that replace the need for no code, because You actually want to generate the outputs in no code because for a long…”
Insight
Liu: Horizontal AI adoption is bottlenecked by customer imagination, not technology
“What we've learned is that, you know, this is gonna be a really difficult product to just kind of release out there in a horizontal way and hope that everyone just figures it out, right? Even though there are so many different applications, you can apply it to…”
Insight
Liu: Most spreadsheet use cases should actually be databases or apps
“And a lot of use cases of spreadsheets really should be databases or apps, right? Anytime you're dealing with something that's not like number crunching and instead is some kind of tabular data, a workflow, like a database like thing of customers, or it could …”
Opinion
Liu: Spreadsheets are the most prolific app building platform
“Everybody has used spreadsheets at this point. I mean, it's like the most prolific app building platform out there.”
Insight
Liu: Multi-step AI generation and self-critique pipelines produce much better quality
“We've actually found that creating a pipeline where, you know, the first AI step generates a first effort at translating, you know, whatever it is. And then the second step actually critiques itself and finds potential errors. You have a third step where eithe…”
What-if
Liu: Going enterprise early on would have broken Airtable's product
“Had we tried to go really hard into enterprise in the first couple of years, it would have been difficult because some of the bigger, larger scale use cases Would have just broken the product.”