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The Twenty Minute VC and Harry Stebbings에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Twenty Minute VC and Harry Stebbings 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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20VC: Chips, Models or Applications; Where is the Value in AI | Is Compute the Answer to All Model Performance Questions | Why Open AI Shelved AGI & Is There Any Value in Models with OpenAI Price Dumping with Aidan, Gomez, Co-Founder @ Cohere

58:35
 
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Manage episode 434995030 series 73567
The Twenty Minute VC and Harry Stebbings에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Twenty Minute VC and Harry Stebbings 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Aidan Gomez is the Co-founder & CEO at Cohere, the leading AI platform for enterprise, having raised over $1BN from some of the best with their last round pricing the company at a whopping $5.5BN. Prior to Cohere, Aidan co-authored the paper “Attention is All You Need,” which introduced the groundbreaking Transformer architecture. He also collaborated with a number of AI luminaries, including Geoffrey Hinton and Jeff Dean, during his time at Google Brain, where the team focused their efforts on large-scale machine learning.

In Today's Episode with Aidan Gomez We Discuss:

1. Compute vs Data: What is the Bottleneck:

  • Does Aidan believe that more compute will result in an equal increase in performance?
  • How much longer do we have before it becomes a case of diminishing returns?
  • What does Aidan mean when he says "he has changed his mind massively on the role of data"? What did he believe? How has it changed?

2. The Value of the Model:

  • Given the demand for chips, the consumer need for applications, how does Aidan think about the inherent value of models today? Will any value accrue at the model layer?
  • How does Aidan analyze the price dumping that OpenAI are doing? Is it a race to the bottom on price?
  • Why does Aidan believe that "there is no value in last year's model"?
  • Given all of this, is it possible to be an independent model provider without being owned by an incumbent who has a cloud business that acts as a cash cow for the model business?

3. Enterprise AI: It is Changing So Fast:

  • What are the biggest concerns for the world's largest enterprises on adopting AI?
  • Are we still in the experimental budget phase for enterprises? What is causing them to move from experimental budget to core budget today?
  • Are we going to see a mass transition back from Cloud to On Prem with the largest enterprises not willing to let independent companies train with their data in the cloud?
  • What does AI not do today that will be a gamechanger for the enterprise in 3-5 years?

4. The Wider World: Remote Work, Downfall of Europe and Relationships:

  • Given humans spending more and more time talking to models, how does Aidan reflect on the idea of his children spending more time with models than people? Does he want that world?
  • Why does Aidan believe that Europe is challenged immensely? How does the UK differ to Europe?
  • Why does Aidan believe that remote work is just not nearly as productive as in person?

  continue reading

1230 에피소드

Artwork
icon공유
 
Manage episode 434995030 series 73567
The Twenty Minute VC and Harry Stebbings에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Twenty Minute VC and Harry Stebbings 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Aidan Gomez is the Co-founder & CEO at Cohere, the leading AI platform for enterprise, having raised over $1BN from some of the best with their last round pricing the company at a whopping $5.5BN. Prior to Cohere, Aidan co-authored the paper “Attention is All You Need,” which introduced the groundbreaking Transformer architecture. He also collaborated with a number of AI luminaries, including Geoffrey Hinton and Jeff Dean, during his time at Google Brain, where the team focused their efforts on large-scale machine learning.

In Today's Episode with Aidan Gomez We Discuss:

1. Compute vs Data: What is the Bottleneck:

  • Does Aidan believe that more compute will result in an equal increase in performance?
  • How much longer do we have before it becomes a case of diminishing returns?
  • What does Aidan mean when he says "he has changed his mind massively on the role of data"? What did he believe? How has it changed?

2. The Value of the Model:

  • Given the demand for chips, the consumer need for applications, how does Aidan think about the inherent value of models today? Will any value accrue at the model layer?
  • How does Aidan analyze the price dumping that OpenAI are doing? Is it a race to the bottom on price?
  • Why does Aidan believe that "there is no value in last year's model"?
  • Given all of this, is it possible to be an independent model provider without being owned by an incumbent who has a cloud business that acts as a cash cow for the model business?

3. Enterprise AI: It is Changing So Fast:

  • What are the biggest concerns for the world's largest enterprises on adopting AI?
  • Are we still in the experimental budget phase for enterprises? What is causing them to move from experimental budget to core budget today?
  • Are we going to see a mass transition back from Cloud to On Prem with the largest enterprises not willing to let independent companies train with their data in the cloud?
  • What does AI not do today that will be a gamechanger for the enterprise in 3-5 years?

4. The Wider World: Remote Work, Downfall of Europe and Relationships:

  • Given humans spending more and more time talking to models, how does Aidan reflect on the idea of his children spending more time with models than people? Does he want that world?
  • Why does Aidan believe that Europe is challenged immensely? How does the UK differ to Europe?
  • Why does Aidan believe that remote work is just not nearly as productive as in person?

  continue reading

1230 에피소드

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