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What fuels the world’s most powerful AI models isn’t just data, it’s how that data is labeled and given context. In this week’s episode, we take listeners inside the often-overlooked world of data labeling, from Meta’s $14B investment in Scale AI to the billion-dollar rise of Surge AI, and connect the dots to aquaculture. You’ll learn why context-rich data—not just perfect data, is the real driver of better models, and how farms can apply these lessons to turn messy records into predictive intelligence.
For more aquaculture insights head to our Fish n’ Bits blog.
By Manolin5
55 ratings
What fuels the world’s most powerful AI models isn’t just data, it’s how that data is labeled and given context. In this week’s episode, we take listeners inside the often-overlooked world of data labeling, from Meta’s $14B investment in Scale AI to the billion-dollar rise of Surge AI, and connect the dots to aquaculture. You’ll learn why context-rich data—not just perfect data, is the real driver of better models, and how farms can apply these lessons to turn messy records into predictive intelligence.
For more aquaculture insights head to our Fish n’ Bits blog.

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