Join Jocelyn D'Arcy, Founder and CEO of Poindexter Labs, for an eye-opening look at the hidden inefficiency threatening the progress of global artificial intelligence. While the industry fixates on GPU clusters, synthetic scaling laws, and compute tokens, the human supply chain powering these models is fundamentally fractured. Traditional data-labeling factories operate on low-trust, combative review structures that reject and discard up to 90% of completed expert work—not due to errors, but because the evaluation algorithms and third-party reviewers are structurally incentivized to reject tasks rather than fix them. In this episode, we explore how Poindexter Labs is applying rigorous academic peer-review principles to data engineering, proving that human-centric culture and elite software execution are the exact same thing.

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