0:00 Intro
3:15 - State of AI at the beginning of 2024
12:30 - Valuations and fundraising landscape today
16:20 - Founder backgrounds for AI startups
19:15 - Are AI companies defensible? What moats do they have?
26:40 - Impact for large enterprise businesses
30 35 - Exit options and M&A
35:45 - What problems do they wish founders focused on? And not so much on?
42:35 - AI therapy - is it cringe?
48:55 - Stanford dropouts and starting AI companies
58:35 - Olivia and Justine's favorite AI Tools
1:04:00 - Outro

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Chapters:

0:00 Intro
1:50 Gokul Rajaram on Google and what makes a great CEO
14:30 Ishan Mukherjee on the State of LLMs
22:23 Mark Pincus on how to come up with good ideas and build great products
33:12 Anil Varanasi on how to spot great talent
36:18 Rio Ferdinand on Leadership and Young Prodigies
41:33 Hudzah on using Claude LLM to build products quickly
47:29 Mike Maples on patterns for successful startups
56:00 Career and life advice by Aarthi and Sriram
1:06:55 Aravind Srinivas on Google’s Larry Page being his favourite entrepreneur
1:10:50 Bryan Johnson's 7 simple hacks to live longer

Follow Sriram:

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Chapters:
0:00 Introduction to Aidan Gomez, CEO of Cohere
2:12 Childhood and growing up in Canada
5:50 Getting into computers and internet
10:30 Sending cold emails
14:20 How to work with Aidan
16:40 The AI paper - "Attention is all you need"
18:45 Starting Cohere
21:10 Why choose enterprise (vs consumer) as a market
24:45 AI strategy
28:20 Hallucinations in LLM models
30:10 Enterprise software and security implications
32:05 Deloitte, Accenture and the impact of generative AI
36:40 Will LLM scaling laws hit a plateau?
38:50 AGI, reasoning and inference for LLM models
41:30 Synthetic data - what is it? Why is it interesting?
43:25 Looking ahead - what is the Cohere's strategy?
46:00 Cohere's capital structure
49:15 Enterprise Use Cases
52:10 Advice for founders - adaptability
54:15 Thank you

Follow Sriram:

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Follow the podcast:

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