It's back to that question of does do LLMs make it different? Obviously you can do synthetic data with more intelligence. I think that's a pretty big ask but like imagining translating any economic event, right? Eladco paid an invoice or transmitted this cash balance from one account to one of its suppliers and then update the financial database would be pretty disruptive. Yeah, it makes sense. That's all the questions we have for this week; thanks to everybody for submitting them.
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