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ᛋᛁᚵᛁᛋᛘᚢᚾᛑ ᚾᛁᚾᛃᛅS

sigismundninja@mastodon.nu

@sigismundninja@mastodon.nu
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  • This is one of the worst takes from LLM enthusiasts.
    ᛋᛁᚵᛁᛋᛘᚢᚾᛑ ᚾᛁᚾᛃᛅS ᛋᛁᚵᛁᛋᛘᚢᚾᛑ ᚾᛁᚾᛃᛅ

    @nils_ballmann @arroz @binford2k what one faces when doing formal verification of LLM output. However, LLMs might enable us to write larger formally verified systems in practice. LLMs could help with the spec writing and validation as well. We'll see.

    LLMs are basically generators in neuro-symbolic hybrid systems. And many people like to use them for productivity. I.e. a component or tool. No reason to get emotional about it. Like humans, LLMs are unreliable but still useful.

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