A lot of these players may just be existing players adding that AI capability versus an entirely new company. Datadog is an extremely good place to actually go attack some of these opportunities in that they do the data collection natively, right? And they have a very broad sweet product. One other challenge to your point about like what an enterprise needs to do. I do think that like annotation and synthetic data and data sharing continue to be like huge blockers for any enterprises.
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