quote: Steven Sinofsky on why Jev fixes his oldest complaint about AI: natural language was never an efficient interface | Hanami
quote: Steven Sinofsky on why Jev fixes his oldest complaint about AI: natural language was never an efficient interface.
"Ask yourself how many people are really, really good at asking questions. Less than half the people can ask a good question in a meeting."
"And then how often do you look at the answer and get really frustrated before it's finished, but you have to pay all this money to watch the seven paragraphs come out...?"
"My favorite is the output of it is designed for probabilistic programming."
"Instead of saying, 'Is this a customer service question? Then route to customer service, otherwise route to general help desk,' it's, 'This is 80% customer service.' That's exactly simulation."
"There's 50 years of computer science research in literally probabilistic if statements. Suddenly the coolest place to be in computer science is gonna be probabilistic programming, which was all of computer science in the 1960s and '70s."
"This is not all new. It's gonna be very interesting to dust off all of that work, because it's exactly what's going on. An if statement now is if X percent, not if always."
"The way that Jev works is it's a custom programming language almost, which is: here's the prompt, come back with a percentage. And then you put that in the if statement."
@stevesi | Box CEO Aaron Levie, Steven Sinofsky, and Martin Casado join Erik Torenberg to discuss "We Must Pace the Frontier," the upcoming AI election in 2028, and Jev:
They argue that most of today's AI regulation debate is happening before anyone has defined the risks being regulated. Every prior wave, from computer viruses to aviation, built its safety standards after learning how the technology actually failed.
Then it gets concrete. Agents don't get tired, run at enormous scale, and probe systems in ways employees never could, which may mean rethinking permissions, authentication, and the security stack itself.
They close on why AI innovation may increasingly happen outside the frontier labs, in the software built around the models.
00:50 "We Must Pace the Frontier"
03:50 Do the labs believe their own x-risk talk?
06:49 If it's existential, nationalize it
11:32 "You're asking us to regulate you?"
12:08 2028 as the AI election
18:50 Tech never learned to navigate regulation
25:50 The law that came from one 1983 hack
28:39 Noam Brown's heat exfiltration idea
32:30 Cold War covert channel stories
34:35 Agent swarms look like a DoS attack
41:25 Sinofsky's fear: GDPR for AI
46:20 No jets if the FAA started in 1910
48:38 Jev: decision engines vs. chatbots
53:01 Labs build beings, software needs tools
YouTube: https://t.co/3rxIVT8gzt
@levie @stevesi @martin_casado @eriktorenberg