a16z的Martin Casado批评Databricks用词不当，Databricks的Ali Ghodsi谈AI风险与采用

a16z's Martin Casado on why the word "pacing" was a misstep, and Databricks' @alighodsi on what the labs were actually asking for: Martin: "Saying security and safety is important, it is with every tech epoch, and we wanna have some oversight. That was very, very sensible. The problem was just couching this notion of pacing." "There's a number of issues with pacing. First off, it's orthogonal to safety and security. You can slowly build a weapon. That's not different than building a weapon." "It kind of feels like this kind of almost milquetoast capitulation to the pause people. 'You say pause, well, I say pacing.' Which is almost like pause, but it's not like pause." Ali: "They're saying, 'Hey, if we do that, it'll slow us down. And I'm not sure the other side is doing that. So can you guys come in and slow us down? Put some guardrails around us. We'll happily then follow the rules and do the secure thing. Otherwise it doesn't make sense 'cause we'll get our butts kicked.'" Martin: "Nuanced second-order words don't work when people are really afraid... I literally think you should have just been like, 'Safety and security is paramount. We're gonna put in these controls.'" "Dario's first five words or whatever are, 'We need to pace the frontier.' It just puts you in a very different mindset. What he could have said is, 'We need to secure the frontier.'" "Pace is like the uncanny valley of making the doomer people unhappy and the policy people unhappy. The doomer people are like, 'That's not a pause, this is pacing.' And everybody else is like, 'This isn't real, you're not gonna do it anyways, and you're not as focused on security.'" @alighodsi @martin_casado @sarahdingwang

This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI regulation, compliance frameworks, and sovereign compute policy. Key entities and technical topics under continuous tracking include a16z, Databricks, AI安全, AI风险.

Source attribution: curated from a16z (@a16z).