Train LLM on every published text of a given subject, enable user feedback, deploy into a for-profit education system. This can be done for all subjects, from physics to ethics.
LLMS
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AI Achieves Stunning Advance in Computer Code Writing
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#AI learns to write computer code in ‘stunning’ advance
#RuleoftheRobots https://
science.org/content/articl
e/ai-learns-write-computer-code-stunning-advance#.Y5VC5wLum1g.twitter
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AI Systems Confident Yet Frequently Wrong Reliability Concerns
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it does know a lot, but the danger is that it is confident and wrong a significant fraction of the time
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ChatGPT’s Limitations: Progress Preview, Not Production Ready
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ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness. it's a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.
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The Evolution of Reality: From Physical to Digital Definitions
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The evolving definition of reality:
1980s: Reality.
2000s: Search engine results.
2020s: Chatbot output. -
Chain-of-thought Jar Jar Binks posts linked by Twitter algorithm
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I've never seen Twitter's timeline algorithm more excited than when, immediately after I posted about chain-of-thought prompting GPT‑3 in the style of Jar Jar Binks, it showed me @paulg
's tweet about the chain of thought that prompted Jar Jar Binks. -
ChatGPT smarter than Davinci 002; Davinci 003 smarter than both
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I think ChatGPT is smarter than Davinci 002, though less compliant. Davinci 003 is smarter than both, at least for the important use cases:
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LLMs Fact-Checking Themselves Through Prompt Chaining
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@0xjasper came up with a very cool example of LLMs fact checking themselves with prompt chaining. See the original tweet thread below
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LangChain version 0.0.34: OpenAI moderation and fact checking
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LangChain version 0.0.34 Doc cleanup from `moozilla` (if on twitter lmk!) Support for @OpenAI's moderation endpoint LLMFactChecker chain from @thepromptking, original idea by @0xjasper Some more info on the LLM fact checker chain
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ChatGPT generates plausible but incorrect answers without online feedback
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I spoke to @latimes on #ChatGPT on how it can confidently give wrong but plausible answers to puzzles, and it is not getting online feedback on if the text it is generating is true.