a16z's Anish Acharya and David Pawlan, creator of Assistant Benchmark, on the gap between people's s...
a16z(@a16z) · 商业与创投
a16z's Anish Acharya and David Pawlan, creator of Assistant Benchmark, on the gap between people's stated and revealed preferences on privacy, and what that means for AI agent adoption: "I think in revealed preferences, consumers will share any amount of data for even the most trivial amount of upside." "People have been connecting their cards, their credit cards, and their bank accounts via Plaid since the Venmo era. But when you ask them, they're like, 'Oh, yes, I'm very concerned about trust and safety.'" "I think an example though of where consumers are very concerned about sort of trust and assumptions is around being embarrassed and social signaling... The social mechanics actually feel so much higher stakes than the actual, like, real-world implications." "[One company] offered a million dollars worth of pizza to anyone that wanted to use their product... In order to get that $30 of pizza, you were granting access to your entire Google Workspace, all of your emails, all of your data for 30 bucks." "It just proves it right there, that people are willing to just give up all that data for some free pizza." @illscience @DavidPawlan Your browser does not support the video tag. 🔗 View on Twitter a16z @a16z David Pawlan, creator of Assistant Benchmark, has tracked 147 AI assistants so far, and in his group chats of AI power users, the number one fear is trust. It comes up in 22% of roughly 3,600 messages. He puts agents through head-to-head tests, like ordering same-day flowers as cheaply as possible or planning a weekend in LA that's both luxurious and cost-efficient, to see which ones can hold competing preferences. He joins a16z's Anish Acharya and Josh Elman to discuss why the scariest agent failures are the embarrassing ones, why agents are where e-commerce was in 1997, why scale is still a moat, and the "dark agent" that could speak to the parts of ourselves we don't reveal. 0:52 Inside a meetup for 100 agent nerds 2:52 Why we'll all have an army of agents 5:3