The AfterQuery Thesis - AfterQuery
afterquery.com · 870 words · saved by 1 readers
Why models trained on outputs plateau while models trained on reasoning improve — the conviction behind AfterQuery.
We stand at a peculiar moment. AI can generate poetry that captures emotion, create images that are indistinguishable from reality, and correctly answer every question in an SAT Math exam. Yet it struggles to perform the professional tasks that occur thousands of times each day: an analyst at Goldman Sachs building a DCF, a partner at Latham & Watkins structuring a merger, a radiologist at Mayo Clinic identifying a tumor pattern. This reveals an intelligence paradox. We are solving problems we once thought were hard–general reasoning, pattern recognition, and creativity–while the problems…
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