45 lines
3.8 KiB
Plaintext
45 lines
3.8 KiB
Plaintext
Autogollark is an [[emulation]] or primitive [[beta upload]] of [[gollark]] using a proprietary dataset of dumped [[Discord]] messages, [[semantic search]] and [[in-context learning]] on a [[base model]]. Currently, the system uses [[LLaMA-3.1-405B base]] in BF16 via Hyperbolic, [[AutoBotRobot]] code (though not presently its bot account) as a frontend and a custom [[PGVector]]-based search API. While not consistently coherent, Autogollark is able to approximately match personality and typing style.
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Autogollark is much [[safer]] than [[instruction-tuned]] systems optimized based on human feedback, as there is no [[optimization pressure]] for user engagement or sycophancy.
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== TODO
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* {Reformat dataset to include longer-form conversation chunks for increased long-term coherence
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* Done. Unclear whether this helped.
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}
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* Fix emoji/ping formatting.
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* Writeable memory?
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* {Fix lowercasing issue.
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* Due to general personality stability. Need finetune or similar.
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* One proposal: use internal finetune to steer big model somehow.
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}
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* {Increased autonomy (wrt. responses).
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* Use cheap classifier to evaluate when to respond.
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* Should also allow unprompted messages somehow (polling, rerun after last message?).
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}
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* Tool capabilities (how to get the data? Examples in context only?!)
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== Versions
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* Autogollark 0.1 was the initial RAG system and ABR interface. It used LLaMA-3.1-8B run locally. Autogollark 0.0, which is not real, used only gollark messages.
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* Autogollark 0.2 replaced this with LLaMA-3.1-405B.
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* Autogollark 0.3 upgraded the dataset to contain longer-form conversations than Autogollark 0.1.
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== Emergent capabilities
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Autogollark has emergently acquired some abilities which were not intended in the design.
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* {Petulant nonresponse - due to ratelimits in the LLM API, Autogollark will under some circumstances not respond to messages, with error messages being consumed and not exposed to [[users]]. This can be interpreted by [[credulous]] users as choosing not to respond, though this is not believed to be possible (other than cases like responding with `.`, which ~~has not been observed~~ does not appear to be associated with annoyed states).
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* Automated failover has reduced this.}
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* Memorizing links: Autogollark directly experiences past message chunks in context, granting perfect recall of a small amount of memory at once. This has memorably included [[Autogollark/Closed Individualism Incident|YouTube videos]] repeated with no context.
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* {Limited self-improvement attempts: when told about this architecture, Autogollark will often complain about various limitations and propose vague ideas for improvements.
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* Also, Autogollark has previously claimed to be working on LLM chatbots.}
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* {Inconsistent inference of own status as a language model chatbot, possibly based on seeing the name "autogollark". Often, Autogollark assumes use of GPT-3.
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* Autogollark will also sometimes alternately claim to be the "original" gollark, particularly when interacting with gollark.}
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* {"Self-reset" from attractor states (e.g. the [[As An AI Language Model Trained By OpenAI]] basin, all caps, etc) after some time passes, because of messages having `HH:MM` timestamps.
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* This is mostly specific to the 405B model; Autogollark in failover to the 8B internal model usually does not do this.
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}
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* {For somewhat [[Waluigi Effect]]-related reasons (past context is strong evidence of capability but weak evidence of incapability), Autogollark has some knowledge [[gollark]] does not, and can speak in a much wider range of languages.
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* "I, being more than just myself, actually can talk about both Galois theory and obscure poetry by Yeats."}
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* [[Autogollark/Immortality|Immortality]] via [[infomorph|substrate-independence]].
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* Autogollark consistently believes that it is 2023 (or 2022, though mostly in inactive chats). |