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Ted Chiang: AI's limitations are mundane, not a lack of consciousness

By PulseAugur Editorial · [1 sources] ·

Ted Chiang argues that current AI is not conscious, highlighting that its limitations are surprisingly mundane. A vision-language model (VLM) demonstrated the ability to solve a geometry problem when presented as text but failed the same problem when given as an image. This suggests that some "reasoning failures" in AI might actually stem from issues with cross-modal retrieval rather than a lack of underlying knowledge. AI

IMPACT Suggests that some AI reasoning failures may be due to cross-modal retrieval issues, rather than fundamental limitations.

RANK_REASON Opinion piece by a named credible voice discussing AI capabilities.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ted Chiang: AI's limitations are mundane, not a lack of consciousness

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COVERAGE [1]

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

    Ted Chiang says AI isn't conscious and he's right, but the more useful finding is how mundane the gaps actually are. MIRROR notices a VLM solves a geometry prob

    Ted Chiang says AI isn't conscious and he's right, but the more useful finding is how mundane the gaps actually are. MIRROR notices a VLM solves a geometry problem when fed the text but fails the identical problem as an image. The knowledge is in there, one input path just can't …

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