The Neuron: AI Explained The Humans Behind AI: How Invisible Technologies Trains 80% of the World's Top Models
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Nov 3, 2025 Caspar Eliot, an executive at Invisible Technologies, uncovers the human side of AI training, revealing that 80% of top models rely on a dedicated workforce. He explains how models learn through curated data, not just online scraping, and discusses the critical importance of data quality over quantity. The conversation delves into common enterprise mistakes in AI deployment and speculates on the future of jobs—emphasizing that while automation changes roles, human skills will remain indispensable. Expect insights on unconventional job backgrounds and the rising demand for human data expertise.
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Turning Game Video Into Scouts
- Invisible helped the Charlotte Hornets by turning unstructured game video into scout-like insights using computer vision.
- Caspar says video models can create an effective 'scout in every game' to find player movement patterns.
Build Evaluations Before Deploying Agents
- Evaluate agent performance by first having humans perform the task to build measurable metrics.
- Use those evaluations to set what 'good' looks like before deploying agents or automation.
Data Quality As A Strategic Moat
- High-quality training data is a growing strategic asset as models approach parity.
- Marginal accuracy gains from proprietary data can form defensible moats for companies.