2100: Planetary-scale AIs debate whether humans are conscious, decide they're not.
AI
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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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Diffusion Models and Neural Operators: Comparison Challenges
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The diffusion model is built on top of our neural operator. You cannot compare them directly since neural operators are deterministic. A natural comparison is with @CristopherSalvi SDE formulation but that assumes a specific form of stochasticity in equations
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Product-Market Fit Drives Revenue Growth Despite Recession
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So far I've yet to see this recession vibes in any of our accounts. AOV is up, revenue is up. These are typically no deal products either. Small evergreen discounts. Product market fit wins!
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Diffusion Models in Function Spaces with Neural Operators
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Nice to see diffusion models in function spaces that build on neural operators
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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.