Kyle Kingsbury
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16 April
From one piece The Future of Everything is Lies, I Guess: Where Do We Go From Here? 3 beliefs, in the piece's order there
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Their words
Today's models are already very capable. It will take time for the effects of the existing technology to be fully felt, and for culture, industry, and government to adapt.
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Their words
I don't think this will stop ML from advancing altogether: there are still lots of people who want to make it happen. It will, however, slow them down, and this is good.
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Their words
ML assistance reduces our performance and persistence, and denies us both the muscle memory and deep theory-building that comes with working through a task by hand
15 April
From one piece The Future of Everything is Lies, I Guess: New Jobs 3 beliefs, in the piece's order there
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korrents.com
Only humans, not the AI systems they use, can be held accountable through apology or punishment.Their words
You can fine an LLM-using corporation, but only humans can apologize or go to jail.
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Their words
Since LLMs are chaotic systems, this work will be complex and challenging: models will not simply be "95% accurate".
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korrents.com
The unpredictable nature of large language model output makes quality-control processes necessary.Their words
The unpredictable nature of LLM output requires quality control.
14 April
From one piece The Future of Everything is Lies, I Guess: Work 3 beliefs, in the piece's order there
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Their words
If the automated system can execute the task faster or more accurately than a human, it is essentially impossible to review its decisions in real time.
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Their words
I suspect that if companies are successful in replacing large numbers of people with ML systems, the effect will be to consolidate both money and power in the hands of capital.
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Their words
Because LLMs are chaotic and natural language is ambiguous, LLMs seem unlikely to preserve the reasoning properties we expect from compilers.
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