😺 ChatGPT can summarize data. Can it predict what happens next?
The Neuron
Neuralk’s Alexandre Pasquiou argues in a podcast that language models can summarize spreadsheet data but are structurally mismatched for reliable next-step prediction on structured business tables. He says Seldon is designed to handle about 20 million rows and 600+ columns for predictive workloads. The takeaway is a shift toward specialized tabular foundation models used behind tools like ChatGPT, Claude, and Excel for forecasting and other prediction tasks rather than expecting LLMs to do the predictive work themselves.
Why it matters
Neuralk CEO Alexandre Pasquiou on why LLMs struggle with prediction, how tabular foundation models work, and why they could run enterprise forecasting by 2030.
