I think one of the areas that I am trying to figure out whether or not it's feasible is just the general area of decision making against like technical enterprise datasets, right? Like two examples of this could be if you're a large organization, you have a security operations center. They make decisions about how to triage events. You know, in theory, the sim product does that in practice. It's super honestly super useless because of the false negative, false positive rates on those products. And so if it's a security incident triage or in the DevOps space like root cause analysis or even like postmortem generation is a smaller feature, I think that's going to become really interesting
This week on No Priors, Sarah and Elad do another hangout to answer listener questions. Topics include debunking common misconceptions about AI and its implications on the world, the analogy to nuclear power and nuclear safety, the impact of larger context windows, developer productivity, incumbent announcements of AI products, and some requests for (fat) startups.
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Show Notes:
[00:21] - What Are People Getting Wrong About AI Right Now? / New Capabilities of NLP
[04:35] - Nuclear Power and Safety Concerns
[11:12] - Emerging AI Companies and Research
[15:54] - China's Hardware Sanctions and Funding Ramp
[20:34] - Innovation in Heterogeneous Compute Infrastructure
[28:08] - Enterprise Stack and Decision Making
[33:44] - Data's Impact on the World