lIf you like the humans of #infosec you will love the cyber games: https://
playcyber.com/global-cyber-g
ames-new-years-blitz
… Fantastic fun/entertainment and serious work at the same time. Great virtuous effort by @KatzcyPlayCyber
AI
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Cyber Games: Entertainment and Professional Development in Infosec
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NYT think-pieces on LLM social faux pas expected by January
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I expect NYT think-pieces about this and other LLM-created social faux pas before the end of January.
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Using ChatGPT to insult coworkers makes them ignore you
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This is already happening. Screenshots of bewildered comments on a Google Doc of hallucinated nonsense make for great office gossip. Once you insult someone at work with ChatGPT replies or draft writing, they'll never read another word you say.
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McCormick reaper automated economic work not true AGI
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But that’s not really AGI. E.g., the McCormick reaper automated 90% of economically valuable human work.
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PaLM’s Efficient Code Generation with Reduced Python Data
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Coding: writes code with natural language description (text-to-code), translates code from one language to another, and fixes compilation errors.
— AI Breakfast (@AiBreakfast) 24 décembre 2022
PaLM claims to do just as well with 50x(!) less python data in it's training set.
(That's like learning to read from just 2 books) pic.twitter.com/7lgvDOxAqACoding: writes code with natural language description (text-to-code), translates code from one language to another, and fixes compilation errors. PaLM claims to do just as well with 50x(!) less python data in it's training set. (That's like learning to read from just 2 books)
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PaLM Model Advances Multi-Step Reasoning with Chain-of-Thought Prompting
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By combining model scale with chain-of-thought prompting, PaLM also claims to show breakthrough capabilities on reasoning tasks that require multi-step arithmetic (this is big… and an area where ChatGPT currently falls short) and common-sense reasoning:
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Google PaLM Explains Complex Scenarios with Multi-step Inference
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Google also says PaLM can generate explicit explanations for scenarios that require a complex combination of multi-step logical inference, world knowledge, and deep language understanding. (For example, it can explain jokes that are made up on the spot)
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Google PaLM’s AI Language Understanding and Generation Abilities
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Google released some details about PaLM earlier this year:
— AI Breakfast (@AiBreakfast) 24 décembre 2022
PaLM claims "impressive" natural language understanding and generation capabilities.
For example, it can distinguish cause and effect, understand conceptual combinations, and even guess a movie from an emoji set. pic.twitter.com/ktBjOgkOwTGoogle released some details about PaLM earlier this year: PaLM claims "impressive" natural language understanding and generation capabilities. For example, it can distinguish cause and effect, understand conceptual combinations, and even guess a movie from an emoji set.
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Google Preparing PaLM Chat Model in Response to ChatGPT Growth
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You may have heard the NYT report of Google issuing a "Code Red" after ChatGPT amassed 1 million users in 5 days, signaling an internal ramp-up for the deployment of their own Chat model: PaLM (Pathways Language Model)