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Reasoning LLMs Deliver Value Today, So AGI Hype Doesn't Matter
Simon Willison, commenting on the recent paper from Apple researchers that found state-of-the-art large language models face complete performance collapse beyond certain complexity thresholds: I thought this paper got way more attention than it warranted -- the title "The Illusion of Thinking" captu...
Simon Willison, commenting on the recent paper from Apple researchers that found state-of-the-art large language models face complete performance collapse beyond certain complexity thresholds: I thought this paper got way more attention than it warranted -- the title "The Illusion of Thinking" captured the attention of the "LLMs are over-hyped junk" crowd. And now, notable LLM skeptic Gary Marcus has saved me some time by aggregating the best of those rebuttals together in one place! They are demonstrably able to solve a whole bunch of problems that previous LLMs were unable to handle, hence why we've seen a rush of new models from OpenAI and Anthropic and Gemini and DeepSeek and Qwen and Mistral.
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