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With every company raising money looking to add AI, how can venture capital firms make sense of it all? By also using LLMs. Roger Thornton, Co-Founder and Partner of Ballistic Ventures, joins us to discuss how VC firms can leverage LLMs to get ahead.

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Timestamps:
01:35 Daily AI news
05:00 About Roger and Ballistic Ventures
07:30 Trust leads to vulnerability, tech advances enhance threats.
12:35 Experts prioritize concise communication and utilizing AI.
14:20 Using large language models concisely.
18:38 Venture capitalists struggle with time and AI.
23:06 AI's impactful role in programming and democracy.
25:14 Downsides of LLMs for VCs
27:08 Start-ups building infrastructure for data generation

Topics Covered in This Episode:
1. Venture Capital Firms and AI
2. Impact of AI on Business and Security
3. Applications of Large Language Models (LLMs)
4. Quality and Dependency on Data for AI

Keywords:
AI, cybersecurity, data poisoning, access control, forecasting, efficiency, disruption, startups, language models, vetting, entrepreneurship, proprietary data, venture capital, confidentiality, internal AI models, generative AI, family passwords, integration, English grammar, investment memos, service industry, deep fake technology, democracy, user experience, Chrome, breakthrough energy innovation, OpenAI, SAP, cybersecurity companies

EP 192: How VC Firms Can Get Ahead with LLMs 32:41 Share

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EP 192: How VC Firms Can Get Ahead with LLMs