Gradient Flow’s analysis of data, technology, and business, with a focus on machine learning and AI — one of the Top 10 Sites for Data Scientists.
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The AI Data Problem Moved Downstream
Last year I wrote that robotics had a data problem language models were lucky enough to avoid. Text, images, and code had accumulated for decades before anyone decided to train…
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Six Reasons I Think Open AI Models Will Win
In my conversations with developers and AI teams, I’m struck by how many are exploring moving more of their inference workloads to open models. I’ve touched on some of their…
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Not Every AI Task Needs an LLM
LLMs are built to generate text, but a surprising amount of AI automation does not need text at all. It needs a small decision: Is this spam? Which team should…
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Stale Data Used to Be Annoying
Imagine a procurement agent checking inventory and deciding that stock has fallen below the reorder threshold. It places another order. The problem is that a large delivery was recorded a…
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When Work History Becomes an AI Asset
Google recently agreed to pay $10 million for the internal business data of Spirit Airlines. The airline is bankrupt, but its emails, Teams messages, software, spreadsheets, and operating records apparently…
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Water, Noise,Power: The Real Costs of Data Centers
I expect AI data centers to become a major issue in the 2028 presidential primaries, particularly on the Democratic side. I recently argued that the case for building more data…
