How AI is Eating Finance - with Mike Conover of Brightwave
Full show notes: https://latent.space/p/brightwave
00:00:00 Introductions
00:04:52 What's Brightwave?
00:06:04 How to hire for a vertical AI startup
00:11:26 How $20B+ hedge funds use Brightwave
00:12:49 Evolution of context sizes in language models
00:17:18 Summarizing vs Ideating with AI
00:22:03 Collecting feedback in a field with no truth
00:25:10 Evaluation strategies and the importance of custom datasets
00:28:26 Should more companies make employees label data?
00:30:40 Retrieval for highly temporal and hierarchical data
00:35:55 Context-aware prompting for private vs. public data
00:38:16 Knowledge graph extraction and structured information retrieval
00:40:17 Fine-tuning vs RAG
00:43:14 Anthropomorphizing language models
00:45:39 Why Brightwave doesn't do spreadsheets
00:50:28 Will there be fully autonomous hedge funds?
00:56:49 State of open source AI
01:03:43 Hiring and team expansion at Brightwave
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Chapters (18)
Introductions
4:52
What's Brightwave?
6:04
How to hire for a vertical AI startup
11:26
How $20B+ hedge funds use Brightwave
12:49
Evolution of context sizes in language models
17:18
Summarizing vs Ideating with AI
22:03
Collecting feedback in a field with no truth
25:10
Evaluation strategies and the importance of custom datasets
28:26
Should more companies make employees label data?
30:40
Retrieval for highly temporal and hierarchical data
35:55
Context-aware prompting for private vs. public data
38:16
Knowledge graph extraction and structured information retrieval
40:17
Fine-tuning vs RAG
43:14
Anthropomorphizing language models
45:39
Why Brightwave doesn't do spreadsheets
50:28
Will there be fully autonomous hedge funds?
56:49
State of open source AI
1:03:43
Hiring and team expansion at Brightwave
🎓
Tutor Explanation
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