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

20VC: Are Foundation Models Becoming Commoditised? Do OpenAI and Anthropic of the World Have a Sustaining Moat? Why Smaller Models May Work Better? Why Incumbents with Data Power Win the AI War with Christian Kleinerman, SVP Product @ Snowflake

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

The Twenty Minute VC

Finance, Venturecapital, Tech News, News, Siliconvalley, Technology, Investing, Startups, Business

4.4637 Ratings

🗓️ 22 September 2023

⏱️ 45 minutes

🧾️ Download transcript

Summary

Christian Kleinerman is the SVP of Product @ Snowflake. Before Snowflake, Christian spent close to 5 years at Google as a Senior Director of Product Management @ YouTube working on their infrastructure and data systems. Before YouTube, Christian spent over 13 years at Microsoft serving as General Manager of the Data Warehousing product unit where he was responsible for a broad portfolio of products.

In Today's Episode with Christian Kleinerman We Discuss:

1. Lessons from the Greats:

  • How did Christian first make his way into the world of product?
  • What are 1-2 of his biggest lessons from working with Satya Nadella and Frank Slootman?
  • What are 1-2 of hs biggest product lessons from Google and Microsoft?

2. Generative AI: Real vs Fake:

  • How does Christian analyze the current generative AI landscape?
  • Which segments will be the fastest to adopt? Which will be the slowest?
  • What aspects of the ecosystems are overblown? Which are under-appreciated?
  • How does Christian respond to many VCs who suggest that many startups are simply wrappers on GPT?

3. Models 101: Why Size is Not Everything!

  • What matters more, the size of the data or the size of the model?
  • Will any of the models used today be used in a year?
  • Does Christian believe Alex @ Nabla is right in saying that "the most successful companies will be those that are able to transition between models the easiest"?
  • How are we seeing the evolution of model size impact the accuracy of result snad size of data required?

4. Incumbent vs startup & Open vs Closed:

  • Who is best positioned to win; startups or incumbents?
  • What are the nuances; which spaces are best served for startups to win vs incumbents?
  • Will open or closed source be the dominant mode?
  • What are the single biggest challenges preventing open from being successful?

Transcript

Click on a timestamp to play from that location

0:00.0

We've seen companies that with seven employees have creating models that are comparable for some use cases to what Open AI or Anthropic do.

0:08.1

At the end of the day, it's a data problem.

0:10.4

In model, they're getting commoditized until the next big innovation comes and you allocate some more value to the model.

0:16.9

If anything, model size will influence things like cost and latency, so smaller may be better.

0:23.6

Welcome back. This is 20VC with me, Harry Stebbings, and joining us in the hot seat for this

0:27.8

deep dive on generative AI is Christian Kleinerman, SVP of product at Snowflake. Before Snowflake,

0:33.7

Christian spent close to five years at Google as a senior director of product management

0:37.6

at YouTube, working on their infrastructure and data systems. Before YouTube, Christian spent over

0:42.4

13 years at Microsoft, serving as general manager of the data warehousing product unit, where

0:47.5

he was responsible for a broad portfolio of products. But before we dive into the show's

0:51.7

day, you know all those mind-numbing tedious tasks that

0:54.9

seemingly take up half your day. Well, Coda is here with their new AI-powered work assistant

0:59.6

that helps you and your team not just finish tasks, but make progress. So your product team

1:04.3

can bring a feature to market faster by using Coda AI to tag customer feedback, draft PRDs,

1:10.7

suggest target audiences, summarizing product

1:12.9

discussions and more. Your sales team can engage more customers by bringing in data from sources

1:17.6

like Salesforce and then use Coda AI to suggest action items, meeting agendas or lead scores,

1:23.4

and your marketing team can drive an impactful launch with Coda AI summarizing user insights,

1:28.3

creating briefs generated from notes, and writing mock press releases to visualize taglines.

1:33.7

With Coda AI, you can reimagine your to-do list and how you collaborate,

1:37.5

so you're not only finishing tasks, but really making progress.

1:40.6

If you want to work a system that lets you get back to work, you can get started with

...

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