No, really not. Everything I said here still applies: https://
garymarcus.substack.com/p/how-come-sma
rt-assistants-have-virtually
…
LLMS
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Smart Assistants Fall Short: Gary Marcus Explains Why
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Generative Models as Ladder Not Moon Destination
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Kind of crazy that this kind of nonsense is directed at me when @ylecun & I are both literally saying the same thing—generative models are a better ladder but won’t get us to the moon. If you can’t tell the different between climbing and flying, it’s not our fault. https://
x.com/robinc/status/
/robinc/status/1599488492341727237
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ChatGPT Generates Flawless Regular Expressions with Plain English
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Not only does #ChatGPT generate flawless regular expressions using plain English, it also clearly explains each element!
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DistilBERT Student Model: Introduction and Key Concepts
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Introduction to DistilBERT in Student Model: This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018, GoogleAI researchers released the BERT model. It was a fantastic work that brought a revolution in the… https://
analyticsvidhya.com/blog/2022/11/i
ntroduction-to-distilbert-in-student-model/?utm_source=dlvr.it&utm_medium=twitter
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LLMs: A Distraction from True AI Solutions
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LLMs are a plot to get humans off track from solving AI.
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AI-Generated Text: Will It Reduce or Increase Verbal Excess?
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Best case scenario: automated wordy BS generation nudges humans towards dispensing with wordy BS entirely. People refocus on actionable thinking and concise communication. Worst case scenario: the world is flooded with a lot more wordy BS. (This is more plausible.)
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Fear that AI writing may prioritize popularity over quality
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Well, that's the hope. My (short-term) fear is if it proves that outside of a tiny subpopulation there's no demand for good writing or ability to discern it; the AI outputs go to where there's max demand, and sparkling generic deepities outcompete thinking.
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Transformers Scale Arithmetic Rather Than Performing Algebra
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Transformers are like scaling up arithmetic instead of doing algebra.
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Language Models Need Acoustic Models to Match Reality
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The original language models were only half of a speech recognizer, whose function was to produce coherent text. The other half was the acoustic model, whose function was to ensure the text corresponded to reality. We forget the latter at our peril.