Ever wondered who's actually teaching ChatGPT and Claude how to think?
Meet Caspar Eliot from Invisible Technologies - the company behind 80% of the world's top AI model training. In this eye-opening conversation, we uncover the massive human workforce behind "artificial" intelligence, why your League of Legends skills might land you an AI job, and the shocking mistakes enterprises make when deploying AI.
We discuss:
• How AI models really learn (hint: it's not just scraping the internet)
• Why data quality beats data quantity every time
• The Charlotte Hornets' revolutionary AI scouting system
• Whether robots will actually take your job (spoiler: probably not)
• The $14.8 billion Scale AI valuation and what it means
• Why Mark Andreessen thinks VCs won't be automated
Plus: Caspar reveals the #1 mistake companies make with AI deployment and why "AI-ifying" your current process is doomed to fail.
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Connect with Caspar on LinkedIn: https://uk.linkedin.com/in/caspar-eliot-46b9a55a
Learn more about Invisible Technologies: https://invisibletech.ai?utm_source=neuron&utm_medium=podcast
Please check out the sponsor of this video, Warp.dev: https://warp.dev
So who is Invisible Technologies? In four words: they make AI work. Their platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.Their successes span industries from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. And get this: Invisible has been profitable for over half a decade, was ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
Check them out at Invisible Technologies: https://invisibletech.ai?utm_source=neuron&utm_medium=podcast