Build Your Startup With AI
Welcome back to "The Ben & Marc Show," featuring a16z co-founders Marc Andreessen and Ben Horowitz. In this new episode – the first of two parts – Marc and Ben answer YOUR questions on the “State of AI” as it relates to company building.
In this one-on-one conversation, Ben and Marc discuss how small AI startups can compete with Big Tech’s massive compute and data scale advantages, unpack the reasons why data is overrated as a sellable asset, and uncover all the ways the AI boom compares to the internet boom. That and much more. Enjoy!
**Watch Part II: https://youtu.be/QyyWsr1NMt8
Topics Covered:
00:00:00 Teaser
00:00:42 Intro
00:01:14 How AI startups can compete with the bigger players
00:05:57 Will the the "God models" get 100x better?
00:09:19 Counter argument: Are the tests too simple?
00:10:14 Internet data represents average human activity
00:11:50 AI's ability to unlock latent super genius limits
00:15:30 Neural networks exhibit generalized learning and computation functions
00:17:01 Reports of self improvement loops
00:19:10 Current data improvements
00:22:05 Challenges for AI applications
00:25:48 Business value-based pricing model
00:29:38 Two diametrically opposed questions about AI's impact on tech investment
00:32:48 The Jevons Paradox
00:36:46 John Maynard Keynes vs. Karl Marx
00:39:29 Demand for softwares is perfectly elastic
00:41:12 AI based medical diagnosis
00:42:09 Reality of data moats
00:48:06 Big companies and actionable data validation
00:52:05 Big companies using stolen data
00:53:07 Genetic Information Nondiscrimination Act (GINA)
00:57:53 Comparison of AI boom and internet boom
01:02:23 Marc's prediction for the AI industry
01:08:07 Lessons learned from internet era
01:12:12 Big companies trying to lock down AI
01:13:28 Core VC assumes half of investments will fail
01:19:25 Sign off
#ai #startup #business #tech #technology #founders #artificialintelligence #internet #entrepreneur #entrepreneurship #culture #news
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Chapters (27)
Teaser
0:42
Intro
1:14
How AI startups can compete with the bigger players
5:57
Will the the "God models" get 100x better?
9:19
Counter argument: Are the tests too simple?
10:14
Internet data represents average human activity
11:50
AI's ability to unlock latent super genius limits
15:30
Neural networks exhibit generalized learning and computation functions
17:01
Reports of self improvement loops
19:10
Current data improvements
22:05
Challenges for AI applications
25:48
Business value-based pricing model
29:38
Two diametrically opposed questions about AI's impact on tech investment
32:48
The Jevons Paradox
36:46
John Maynard Keynes vs. Karl Marx
39:29
Demand for softwares is perfectly elastic
41:12
AI based medical diagnosis
42:09
Reality of data moats
48:06
Big companies and actionable data validation
52:05
Big companies using stolen data
53:07
Genetic Information Nondiscrimination Act (GINA)
57:53
Comparison of AI boom and internet boom
1:02:23
Marc's prediction for the AI industry
1:08:07
Lessons learned from internet era
1:12:12
Big companies trying to lock down AI
1:13:28
Core VC assumes half of investments will fail
1:19:25
Sign off
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