Invisible Technologies, valued at 2 billion dollars, asserts that human feedback is essential for AI...
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Updates the player map for data services and validates the structural importance of human-in-the-loop/RLHF as a critical data moat against synthetic data reliance.
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Invisible Technologies, valued at 2 billion dollars, asserts that human feedback is essential for AI training for decades. Having trained over 80 percent of top AI models, CEO Matt Fitzpatrick notes that synthetic data lacks the nuanced reasoning needed for complex legal or scientific fields. This signals a systemic shift where domain expertise becomes the primary fuel for model performance. Human intelligence remains the definitive bottleneck for AGI. 🚀