The amount of information or the instruction you can give to a general intelligence is much more than 800K. It's going to be a continual area of investment of figuring out how to get like efficient context into a model as a product insight, right? We held a like an AI DevTools hackathon for a bunch of like college age new grad builders at the conviction offices this past weekend and we're playing around with big context windows.
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