Contracts and Code: The Realities of AI Development
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In this episode, Valentino Stoll and Joe Leo unpack the widening gap between headline-grabbing AI salaries and the day-to-day realities of building sustainable AI products. From sports-style contracts stuffed with equity to the true cost of running large models, they explore why incremental gains often matter more than hype. The conversation dives into the messy art of benchmarking LLMs, the fresh evaluation tools emerging in the Ruby ecosystem, and new OpenAI features that change how prompts, tools, and reasoning tokens are handled. Along the way, they weigh the business…
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