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Building trustworthy AI models for the physical world | TechCrunch Disrupt 2025

Agriculture is one of the most complex and unforgiving environments for AI: unpredictable weather, uneven terrain, and massive scale. Fahad Khan, Head of Product Management at Blue River Technology, speaks with Jeff Mills, President, iMerit about engineering AI systems that perform under physical-world constraints. In this #sponsored TechCrunch Disrupt 2025 panel, they dove into what…

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Agriculture is one of the most complex and unforgiving environments for AI: unpredictable weather, uneven terrain, and massive scale. Fahad Khan, Head of Product Management at Blue River Technology, speaks with Jeff Mills, President, iMerit about engineering AI systems that perform under physical-world constraints.

In this #sponsored TechCrunch Disrupt 2025 panel, they dove into what it takes to scale AI responsibly and sustainably, and how human-in-the-loop systems are making mission-critical AI both possible and practical.

#TechCrunchDisrupt2025

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1 Comment

1 Comment

  1. @routsasttest

    November 8, 2025 at 12:48 pm

    If iMerit truly believes in “ethics” and “AI fairness,” it should start by paying remote workers for the hours they actually worked. Quietly cutting active hours without explanation isn’t ethical — it’s exploitation.

    And let’s be clear: their biggest client, Meta won’t be getting accurate data for the Meta AI PII project under these conditions.

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The quality of your AI model doesn’t matter if no one’s using it.

Early Anthropic investor and Menlo Ventures partner Matt Murphy breaks down why just assuming customers will re-platform because of quality alone is the wrong bet in this episode of Equity:

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