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Research community is definitely not agreed on this, and there are a number of different camps. Broadly, 2 perspectives from the NLP community: The 2020 Bender
by jbarrow 2y ago
Research community is definitely not agreed on this, and there are a number of different camps. Broadly, 2 perspectives from the NLP community:
The 2020 Bender and Koller paper[1] that argues that meaning is not learnable from form, and LLMs are trained on form. They propose a thought experiment ("The Octopus Test" section of the paper) featuring an octopus that can intercept the conversation two humans are having, but "having only form available as training data, [the Octopus] did not learn meaning."
And a contradicting response from Yoav Goldberg (another NLP researcher)[2] with a much more informal discussion of "groundedness" and what LLMs learn. His argument is broadly that instruction tuning + post-training can meaningfully grounds terms like "summarize" etc.
[1] https://aclanthology.org/2020.acl-main.463/ https://aclanthology.org/2020.acl-main.463/
[2] https://gist.github.com/yoavg/59d174608e92e845c8994ac2e234c8a9 https://gist.github.com/yoavg/59d174608e92e845c8994ac2e234c8...
- naasking 2y ago> The 2020 Bender and Koller paper[1] that argues that meaning is not learnable from form, and LLMs are trained on form. They propose a thought experiment ("The Octopus Test" section of the paper) featuring an octopus that can intercept the conversation two humans are having, but "having only form available as training data, [the Octopus] did not learn meaning." This is just Searle's Chinese Room, and it's obviously false. How can we know it's false? Because there is no "meaning" in the standard model of particle physics (all interactions are by "form"/syntax), and therefore all humans must learn meaning from "form" as well.