“AI use impairs conceptual understanding, code reading, and debugging without delivering significant efficiency gains” — and that’s a quote from Anthropic’s own research!
@garymarcus
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LLM Sycophancy and Chatbot-Associated Delusions: A Mind-Blowing 37%
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Holy crap. I knew about sycophancy. But the 37% number below blows my mind. This from an analysis of chat logs in people who experienced chatbot-associated delusions. In over a third of the messages to those users, the LLMs told the users they had (eg)
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Neurosymbolic AI and Unit Tests in Automated Code Development
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yes, but coders are there in the loop and and (a neurosymbolic) harness tries to weed them out with unit tests etc
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AI’s Role in Job Automation: Capabilities and Limitations
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The headline here is just wrong. And the key phrase here is “parts of … jobs.” AI can automate some of the tasks that many people do (not anywhere 93%)– but (current) AI is wildly uneven and mostly can’t replace full jobs well.
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Poetry for Our AGI Times: Creative Expression and Advanced AI
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https://
garymarcus.substack.com/p/poetry-for-o
ur-agi-times
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Hinton’s Views Not Representative of All AI Researchers
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not everything Hinton says is representative of all or most AI researchers.
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Princeton Review Highlights Persistent LLM Reliability Issues
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BREAKING: Reliability, which I have been harping on here since 2019, continues to be deep problem, even with the latest models. A new @Princeton review below offers a taxonomy of some of the many ways in which reliability continues to haunt LLMs seven years and a trillion
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Why AI’s Impact on Cancer Research Has Been Limited
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F Cancer Why has AI had so little impact on Cancer? New essay, link below.
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Signing on to a Paper on AGI Definition
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that’s why i signed on to this paper https://
agidefinition.ai. it’s not perfect but it’s a start.
