On 01 Aug, ArtificialInteligence published a first-person account from someone who had trained a transformer model to predict their own blood sugar. On 05 Oct, MachineLearning published the follow-up, “I have trained a model to predict my blood sugar (Part 2) [P],” with a score of 1.5. The second post shows that the personal experiment continued. Neither post provides independently verified performance results, so the story remains background.
Assuming the account is factual, its impact is 0%. The work concerns the author’s personal forecasting experiment. The posts report no clinical deployment, public product, outside users, or change to diabetes care.
Watch for published methodology, evaluation data, code, comparisons with simpler forecasting methods, and independent testing. Those details would show how reliably the transformer predicts blood sugar and whether the evidence extends beyond one person’s experiment.
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