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Aaron, Brian and Brandon talk about the November OpenAI drama and how it potentially impacts the industry in 2024.
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Topic 1 - Post-mortem - what do we know about what happened with the almost coup at OpenAI? What speculation (rumors) have been the loudest?
Topic 2 - What are the biggest unknowns?
Topic 2a - What are going to be the biggest concerns and enticements for customers looking at different models to use? Is it ease of use? A single uber-model? Privacy and security? Latency?
Topic 2b - Who cracks the code on simplification and personalization? OpenAI with customer GPT’s? OSS models with fine-tuning/RAG? Amazon Q?
Topic 3 - Is it possible that the OpenAI model (e.g. GPT-4, or Q*) will continue to be considerably better than all the other existing and emerging models? Do compact or small language models take over? Do specialized models trained on private licensed data become a differentiator?
Topic 4 - Who is driving AI at Google? Is it within GCP, or is there now a commercial side of Google Brain / Deepmind?
Topic 5 - Who is driving AI at Amazon/AWS? How did AWS get into a position where it seems to have so little control over its models?
Topic 6 - Where will the control over AI reside (in the technology stack)? Where are the moats? Where are the commodities?
Topic 7 - Will the AI “wars” be more chaotic that the Cloud “wars” of the last decade? Will we see war-time CEOs? Will we see more irrational decisions?
Topic 8 - Will AI-specific clouds emerge? Will data-specific clouds emerge? Will model-specific clouds emerge? (NVIDIA DGX/DGX Cloud)
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