


Like how the brain was understood by its clinical failures, in LLM hallucinations we see bare the true causal mechanisms that lead to its answers. What we mistook for human-like cognition is revealed as something more alien:

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Like how the brain was understood by its clinical failures, in LLM hallucinations we see bare the true causal mechanisms that lead to its answers. What we mistook for human-like cognition is revealed as something more alien:
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Starting a campaign to rebrand automation bias as “the LGTM effect”. The LGTM effect: The unshakable tendency of humans to read the first 15% of LLM-generated prose or code, think “lgtm!”, and commit/publish/tweet something that is wrong/batshit-insane/unfunny, respectively.
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GF: You have commitment issues.
BF: What are you talking about?? I commit everyday on GitHub!!
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Thanks so much Clint. Felt like that level of detail was what the next wave of AI users needed
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For instruct-tuned GPT-3: “You” is automatic transmission, “The following is…” is stick-shift. Second-person imperative makes it emit a single answer and stop. If you pretend you’re writing a document, completions ramble on and you need to plan stop sequences.

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‘Learning to see and learning to read’: #ArtificialIntelligence enters a new era https://
princeton.edu/news/2023/01/0
3/learning-see-and-learning-read-artificial-intelligence-enters-new-era
… @Princeton #AI #MachineLearning #DataScience #IoT #100DaysofCode #womenwhocode #serverless @enilev @FmFrancoise @Shi4Tech @anijov #NLP #BigData #Analytics #DeepLearning
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A theorem prover is a dynamical system. Its initial state is the axioms, and its final one is their deductive closure.
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I love how the AI is ever patient and has no ego about anything either. It's very relaxing to work with as a collaborator
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Really appreciate that Nathan. Having the time of my life discovering all this stuff about ChatGPT.