Ted Chiang argues LLMs cannot achieve consciousness

Ted Chiang, a renowned science fiction author, argues in an essay for The Atlantic that Large Language Models (LLMs) are incapable of achieving consciousness. He posits that current AI architectures lack the fundamental properties necessary for genuine sentience. Chiang's perspective challenges the notion that advanced AI will inevitably lead to conscious machines. AI

IMPACT Offers a perspective on the philosophical limitations of current AI, suggesting consciousness is not an emergent property of LLMs.

RANK_REASON Opinion piece by a named credible voice.

Read on Mastodon — fosstodon.org →

• Large Language Models
• Ted Chiang
• The Atlantic

• opinion
• paper

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