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The Industry Fallout from OpenAI 2023

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Manage episode 390517585 series 2285741
المحتوى المقدم من Massive Studios. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Massive Studios أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

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.

SHOW: 781
CLOUD NEWS OF THE WEEK -
http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT -
"CLOUDCAST BASICS"
SHOW SPONSORS:

  • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
  • Keep up to data with Enterprise Tech with theCUBE

SHOW NOTES:

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?

FEEDBACK?

  continue reading

868 حلقات

Artwork

The Industry Fallout from OpenAI 2023

The Cloudcast

1,280 subscribers

published

iconمشاركة
 
Manage episode 390517585 series 2285741
المحتوى المقدم من Massive Studios. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Massive Studios أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

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.

SHOW: 781
CLOUD NEWS OF THE WEEK -
http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT -
"CLOUDCAST BASICS"
SHOW SPONSORS:

  • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
  • Keep up to data with Enterprise Tech with theCUBE

SHOW NOTES:

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?

FEEDBACK?

  continue reading

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