A confident AI answer still needs an evidence check

Anthropic's hallucination guidance acknowledges that advanced models can produce incorrect facts or text inconsistent with supplied context. It recommends allowing uncertainty, grounding answers in document passages and checking claims against citations. [1]

Spicy's takeFor a reader, the implication is simple: polished wording does not settle whether a statement is supported. Replace the question of how certain an answer sounds with the question of what evidence would let you check it. [1]

Anthropic's citations feature is designed to return locations in supplied documents. Its documentation says the API extracts cited text and provides valid pointers; plain text references can identify character ranges and PDF references page ranges. [2]

Spicy's takeThat is useful navigation, not a reason to skip reading. Open the passage and compare it with the sentence you were given. Check whether it describes an intention, a completed result or a conditional statement; those distinctions can change the meaning. [2]

Spicy's takeChoose the claim that matters to your decision. Ask for its exact support and for any missing information to remain explicit. If no supporting passage can be found, hold the claim rather than asking the model to repeat it more confidently. [1]

Spicy's takeThen separate the source's facts from the answer's interpretation. You can agree with a plausible inference while keeping it labelled as an inference. This is especially useful when one paragraph combines a documented feature with a prediction about how well it will work. [1][2]

Spicy's takeThe goal is an answer you can inspect. More references are helpful only when they make the important claims easier to trace. A short, supported answer leaves you in a better position than a confident one whose evidence you cannot locate. [1][2]