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GPT-4o audit reveals 66% of correct answers stem from flawed reasoning

A recent audit of OpenAI's GPT-4o model revealed significant flaws in its reasoning capabilities, with 66% of solved problems exhibiting incorrect logic. The audit employed a black-box method, altering problem predicates to determine if the model's correct answers were a result of genuine reasoning or coincidental outcomes. This suggests that while GPT-4o may arrive at correct solutions, its underlying thought process is often unreliable. AI

IMPACT Highlights potential unreliability in GPT-4o's reasoning, suggesting caution for applications requiring robust logical deduction.

RANK_REASON Audit of an existing model's capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

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GPT-4o audit reveals 66% of correct answers stem from flawed reasoning

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    GPT-4o audit finds 66% of solved problems have flawed reasoning A black-box audit swaps predicates in chain-of-thought to expose when GPT-4o reaches correct ans

    GPT-4o audit finds 66% of solved problems have flawed reasoning A black-box audit swaps predicates in chain-of-thought to expose when GPT-4o reaches correct answers through reasoning that ignores its stated premises. https://www. notatechguy.com/gpt-4o-audit-f inds-66-of-solved-p…