ScaleAI CEO Alexandr Wang: future of self-driving, China’s ML advantages, next major AI trends | E1005

In this episode, Jason Calacanis interviews Alexandr Wang, discussing his personal startup history and the inception of Scale. They delve into the functionality of Scale's platform, data-sharing practices, and the future of self-driving vehicles. They also debate on ML explainability, AI trends, and remember life before the internet.

Speakers

AI Chat

Unidentified

Alexandr Wang

Guest • 46%

Jason Calacanis

Host • 53%

Chapters

0:00	Opening
1:04	Jason intros Alexandr
2:19	Alexandr shares his personal startup history
5:17	How & why did Scale start?
8:26	What is the best example of Scale in practice? What problem are they solving?
10:44	Video demo of Scale's platform
15:34	Acquiring the scale.com domain name & insights on the unique spelling of Alexandr
17:31	How does Scale deal with data-sharing between customers?
21:34	LIDAR vs. non-LIDAR... or both?
32:29	When will we have capable self-driving vehicles from Palo Alto to San Francisco? Over/under 2030? How will gov't regulations affect self-driving?
36:03	China vs. US in the race of self-driving
41:22	Explainability in ML
47:26	Does it matter that we sometimes don't know the answer to ML systems?
51:39	Should explainability have to be proven in ML?
55:13	How should inherently biased data-sets (like US justice system) be handled via ML?
1:00:00	Importance of focusing on higher-value work
1:02:41	Are dangers of AI overblown?
1:08:50	Will "General AI" happen in our lifetime?
1:12:26	What's the next major AI trend after self-driving?
1:23:46	Does Alexandr remember a time before the Internet?
1:26:35	Jason plays "good tweet/bad tweet" with Alexandr

Transcript

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