The Industry Fallout from OpenAI 2023

11 snips

Dec 20, 2023

The podcast discusses the drama at OpenAI, including the firing and rehiring of Sam Altman, the clash between a nonprofit mission and capitalism, AWS's position in the AI landscape, exploring compact models, and the hosts discuss the length of their podcast episodes.

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Introduction

00:00 • 2min

The Fallout from OpenAI 2023

01:35 • 5min

The Clash Between Nonprofit Mission and Capitalism

06:14 • 34min

AWS's Position in the AI Landscape

40:39 • 16min

Exploring Compact Models and the Future of AI Accessibility

56:47 • 2min

Discussion on Podcast Length and Year-End Wrap-Up

59:06 • 2min

Aaron, Brian and Brandon Whichard (@bwhichard, Software Defined Talk) talk about the November OpenAI drama and how it potentially impacts the entire AI industry in 2024.

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SHOW NOTES:

Benedict Evans - AI, and Everything Else (2024 looking forward)
Is AI the next Oppenheimer event? (Eps.770)
Building the Foundations of the Modern Cloud (Eps.774)
Microsoft CEO Satya Nadella on the OpenAI Debacle (Kara Swisher)
NVIDIA - The Dawn of the AI Era (Acquired - Part III)
Software Defined Talk Podcast

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?

How is it possible that Sam Altman didn’t/doesn’t have a significant amount of equity in OpenAI and still remain so powerful?
How is it possible that Microsoft invested this much in OpenAI without having more understanding?
How much of a mistake did the board make in assuming their concerns about Sam would be removed with a single firing?
How much does Microsoft get diluted by the latest round of funding (if it happens)?

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 model? Privacy and security?

Topic 2b - Who cracks the code on simplification and personalization? OpenAI with customer GPT’s? OSS models with fine-tuning/RAG?

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 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)?

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?

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