The Reasoning Show
The Reasoning Show - Reasoning through the AI Revolution
The industry's leading AI podcast, explores how leaders think through AI, technology, and transformation. Each week founders, investors, and operators unpack the decisions behind the systems shaping modern business.
Hosts: Aaron Delp and Brian Gracely
The Reasoning Show
Will there be a market for expert AI agents?
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How difficult will it be to train and build an AI Agent that has expertise in a given domain? Will it happen in the next year, or 3 years or 10 years? And who will benefit in the marketplace from his evolution?
SHOW: 984
SHOW TRANSCRIPT: The Cloudcast #984 Transcript
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SHOW NOTES
WHAT WOULD BE THE STAGES OF AN EXPERT AGENT?
- Train it on a set of standard knowledge (e.g. Masters of Accounting, Auditing, International Tax)
- Train it on a set of well-defined case studies, to provide industry context
- Train it on a set of adjacent case studies and other domains (business, law, specific industries)
- How to train corner cases?
- How to train gray areas like ethics, morality, or cost-benefit analysis?
- Who is motivated to train these experts?
- What would the cost of these experts be? Can it be similar to a human, or need to be a fraction, or a premium?
- Is there a way to build memory (e.g. experience) without disclosing client information?
- Is there a way to build shareable knowledge between agents for reinforcement training/learning?
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FEEDBACK?
- Email: show @ reasoning dot show
- Bluesky: @reasoningshow.bsky.social
- Twitter/X: @ReasoningShow
- Instagram: @reasoningshow
- TikTok: @reasoningshow
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