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20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Release Date: 08/28/2024

20VC: Index's Shardul Shah on Why Market Size is a Trap | Biggest Lessons on Pricing from Leading Rounds in Wiz & Datadog | Why Benchmarks & Averages in VC are BS | How Index Makes Decisions and Why Growth & Early are the Same Investing Style show art 20VC: Index's Shardul Shah on Why Market Size is a Trap | Biggest Lessons on Pricing from Leading Rounds in Wiz & Datadog | Why Benchmarks & Averages in VC are BS | How Index Makes Decisions and Why Growth & Early are the Same Investing Style

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Shardul Shah is a Partner at Index Ventures and one of the greatest cyber security investors of the last two decades. Among his many wins, Shardul has led rounds in Datadog, Wiz, Duo Security, Coalition and more. Shardul is also the only Partner investing at Index to have worked in every single Index office from London, to SF, to NYC to Geneva. Prior to Index, Shardul worked with Summit Partners, focusing on healthcare and internet technologies. In Today's Episode with Shardul Shah We Discuss: 1. Investing Lessons from Wiz and Datadog: Why does Shardul believe that TAM (total...

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Arvind Narayanan is a professor of Computer Science at Princeton and the director of the Center for Information Technology Policy. He is a co-author of the book AI Snake Oil and a big proponent of the AI scaling myths around the importance of just adding more compute. He is also the lead author of a textbook on the computer science of cryptocurrencies which has been used in over 150 courses around the world, and an accompanying Coursera course that has had over 700,000 learners. In Today's Episode with Arvind Narayanan We Discuss: 1. Compute, Data, Algorithms: What is the Bottleneck: ...

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Chad Peets is one of the greatest sales leaders and recruiters of the last 25 years. From 2018 to 2023, Chad was a Managing Director at Sutter Hill Ventures. Chad has worked with the world's best CEOs and CROs to build world-class go-to-market organizations. Chad is currently a member of the Board of Directors for Lacework and Luminary Cloud and on the boards of Clumio and Sigma Computing. He previously served as a board member for Astronomer, Transposit, and others. He was an early-stage investor at Snowflake, Sigma, Observe, Lacework, and Clumio. In Today's Discussion with Chad Peet's We...

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More Episodes

Arvind Narayanan is a professor of Computer Science at Princeton and the director of the Center for Information Technology Policy. He is a co-author of the book AI Snake Oil and a big proponent of the AI scaling myths around the importance of just adding more compute. He is also the lead author of a textbook on the computer science of cryptocurrencies which has been used in over 150 courses around the world, and an accompanying Coursera course that has had over 700,000 learners.

In Today's Episode with Arvind Narayanan We Discuss:

1. Compute, Data, Algorithms: What is the Bottleneck:

  • Why does Arvind disagree with the commonly held notion that more compute will result in an equal and continuous level of model performance improvement?
  • Will we continue to see players move into the compute layer in the need to internalise the margin? What does that mean for Nvidia?
  • Why does Arvind not believe that data is the bottleneck? How does Arvind analyse the future of synthetic data? Where is it useful? Where is it not?

2. The Future of Models:

  • Does Arvind agree that this is the fastest commoditization of a technology he has seen?
  • How does Arvind analyse the future of the model landscape? Will we see a world of few very large models or a world of many unbundled and verticalised models?
  • Where does Arvind believe the most value will accrue in the model layer?
  • Is it possible for smaller companies or university research institutions to even play in the model space given the intense cash needed to fund model development?

3. Education, Healthcare and Misinformation: When AI Goes Wrong:

  • What are the single biggest dangers that AI poses to society today?
  • To what extent does Arvind believe misinformation through generative AI is going to be a massive problem in democracies and misinformation?
  • How does Arvind analyse AI impacting the future of education? What does he believe everyone gets wrong about AI and education?
  • Does Arvind agree that AI will be able to put a doctor in everyone's pocket? Where does he believe this theory is weak and falls down?