We Live to Build Stop Wasting Money on Big AI Models (Do This Instead)
Are your AI inference costs starting to eat into your startup's budget? In this episode, I sit down with Rob May to discuss the impending shift in the AI industry: moving from massive, expensive frontier models to optimized, task-specific workflows. Rob explains why using a massive model for a simple task is like paying an astrophysicist to balance your checkbook, and how routing requests to smaller models can significantly cut down on your token spend. We also dive into the realities of startup hiring, including why executives must network for talent months in advance and how "experienced" corporate hires can completely derail your early-stage systems. Finally, Rob shares his ultimate advice for founders: why cozying up to massive markets is the best way to de-risk your business. Check out the company: https://neuromatic.com
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📚 NETWORK BEFORE YOU NEED IT (6 LESSONS THAT MADE SEAN $15M)
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📈 WORK WITH ME
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🕒 CHAPTERS
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00:00 - Why Founders Must Network Before Hiring
03:45 - The $30,000 Corporate Hiring Mistake
06:20 - Selling to IT Professionals vs. Sales Teams
08:15 - The Alex Hormozi Free Content Strategy
10:50 - How to Reduce High AI Inference Costs
13:30 - Tasks vs. Models: The Future of AI
16:45 - Moving AI Workflows to Microservices
21:10 - The "Big Market" Secret to Entrepreneurship
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