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The Fintech Blueprint and Lex Sokolin에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Fintech Blueprint and Lex Sokolin 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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Powering the AI revolution from DeepDream to Dall-E, with Lambda Labs CEO Stephen Balaban

42:25
 
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Manage episode 353692798 series 3271919
The Fintech Blueprint and Lex Sokolin에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Fintech Blueprint and Lex Sokolin 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.

Lex interviews Stephen Balavan, the CEO of Lambda Labs, a company that provides GPU servers, workstations and cloud services for training neural networks. Stephen talks about his background in computer science, economics, and deep learning, and how his interest in AI began with reading Neuromancer by William Gibson. He discusses the history of AI research, the concept of perceptron, and the breakthrough of deep learning in 2012-2014 that enabled machines to recognize and categorize images better than humans. Stephen also talks about working for Perceptio - which started as an API for face recognition, and and later was acquired by Apple.

MENTIONED IN THE CONVERSATION

Lambda's website: https://bit.ly/3j6nOVI

CEO's Linkedin profile: https://bit.ly/3HAYhNv

Topics: fintech, artificial intelligence, neural networks, deep learning, generative AI

Companies: Lambda, Perceptio, Prisma, Apple, ChatGPT, Dall-E, Google, DeepDream, Dreamscope

ABOUT THE FINTECH BLUEPRINT

🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2

🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV

👉 Twitter: https://twitter.com/LexSokolin

TIMESTAMPS

1’48”: Stephen’s academic training and how it formed a foundation for his career trajectory

7’17”: The history of facial recognition AI, what a perceptron is, how it fails, and the architecture thereof

11’59”: Deep neural networks advancing facial recognition progress and the social credit score dystopia in China

17’45”: Define DeepDream and deep style - Neural network reverse engineering perceptions, visualisations and hallucinations

22’34”: From DeepDream to Dream Scope (web app) to accelerate image accuracy, and addressing the competition: Prisma’s Lensa

27’38”: The advances in the AI math that are responsible for the step-change in progress resulting in OpenAI’s ChatGPT, for example

31’53”: Lambda - how the company started, how the perceptions around consumable AI have changed, and the progress thusfar

36’42”: Lambda’s ability to evolve given the current heightened demand, and the future of the market

39’32”: What the future looks like with AI embedded into our everyday lives

41’38”: Channels to use to connect with Stephen & learn more about Lambda

Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD.

Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella

Want to discuss? Stop by our Discord and reach out here with questions.

  continue reading

190 에피소드

Artwork
icon공유
 
Manage episode 353692798 series 3271919
The Fintech Blueprint and Lex Sokolin에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Fintech Blueprint and Lex Sokolin 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.

Lex interviews Stephen Balavan, the CEO of Lambda Labs, a company that provides GPU servers, workstations and cloud services for training neural networks. Stephen talks about his background in computer science, economics, and deep learning, and how his interest in AI began with reading Neuromancer by William Gibson. He discusses the history of AI research, the concept of perceptron, and the breakthrough of deep learning in 2012-2014 that enabled machines to recognize and categorize images better than humans. Stephen also talks about working for Perceptio - which started as an API for face recognition, and and later was acquired by Apple.

MENTIONED IN THE CONVERSATION

Lambda's website: https://bit.ly/3j6nOVI

CEO's Linkedin profile: https://bit.ly/3HAYhNv

Topics: fintech, artificial intelligence, neural networks, deep learning, generative AI

Companies: Lambda, Perceptio, Prisma, Apple, ChatGPT, Dall-E, Google, DeepDream, Dreamscope

ABOUT THE FINTECH BLUEPRINT

🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2

🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV

👉 Twitter: https://twitter.com/LexSokolin

TIMESTAMPS

1’48”: Stephen’s academic training and how it formed a foundation for his career trajectory

7’17”: The history of facial recognition AI, what a perceptron is, how it fails, and the architecture thereof

11’59”: Deep neural networks advancing facial recognition progress and the social credit score dystopia in China

17’45”: Define DeepDream and deep style - Neural network reverse engineering perceptions, visualisations and hallucinations

22’34”: From DeepDream to Dream Scope (web app) to accelerate image accuracy, and addressing the competition: Prisma’s Lensa

27’38”: The advances in the AI math that are responsible for the step-change in progress resulting in OpenAI’s ChatGPT, for example

31’53”: Lambda - how the company started, how the perceptions around consumable AI have changed, and the progress thusfar

36’42”: Lambda’s ability to evolve given the current heightened demand, and the future of the market

39’32”: What the future looks like with AI embedded into our everyday lives

41’38”: Channels to use to connect with Stephen & learn more about Lambda

Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD.

Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella

Want to discuss? Stop by our Discord and reach out here with questions.

  continue reading

190 에피소드

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