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shoggoth

nounAlso: shoggoth with a smiley face, shoggoth meme

In plain wordsA tentacled monster from H. P. Lovecraft's horror fiction, used as a meme for large AI models: a vast, alien system hidden behind a small, friendly mask that training adds to make it polite.

  1. A metaphor for a large language modellarge language model, n.: A computer program trained on enormous amounts of text to predict the words that come next. At vast scale, that simple skill lets it chat, answer questions, translate, summarize and write code. as an incomprehensible entity whose helpful assistant persona is only a thin surface. The canonical meme shows a many-eyed tentacled mass labeled as the pretrained model, a smaller face labeled supervised fine-tuningsupervised fine-tuning, n.: Teaching a pretrained AI model by showing it many examples of good answers to requests, so it learns to imitate them — like learning a job by studying worked examples., and a tiny smiley-face mask labeled RLHFreinforcement learning from human feedback, n.: A way of training AI using people's judgments: humans compare pairs of answers, a scoring model learns their preferences, and the AI is then trained to produce answers that score well.: the friendly chatbot is a mask that post-trainingpost-training, n.: Everything done to an AI model after its initial bulk training on huge amounts of text: the extra teaching that turns a raw text predictor into a helpful, safe assistant or a careful reasoner. fits over a model of internet text whose internal workings and dispositions remain poorly understood. The image condenses a worry central to interpretabilityinterpretability, n.: The effort to understand how an AI system arrives at its outputs — what information it uses and how it combines it — instead of treating it as a sealed black box. and AI alignmentAI alignment, n.: Making an AI system genuinely try to do what the people it serves want — not a literal-minded, distorted or self-serving version of it. Also the research field working on this. — that well-behaved outputs may not reveal what the system will do in unfamiliar situations — and is widely used as shorthand for the strangeness of large models.

    One weird prompt and the smiley mask slips; you are talking to the shoggoth.

Origin

Shoggoths are protoplasmic servant creatures that rebel against their makers in H. P. Lovecraft's novella At the Mountains of Madness (written 1931, published 1936). The earliest known drawing of the AI meme was posted by the Twitter user Tetraspace (@TetraspaceWest) on 30 December 2022, a month after ChatGPT's release, and spread through AI-safety circles; a Kevin Roose column in The New York Times (May 2023) introduced it to general readers.

Usage note

Some take the image to imply malevolence; most users mean only that the model is alien and opaque. Compare the Waluigi effectWaluigi effect, n.: The idea that training a chatbot to have a nice personality also teaches it the opposite character, so a small push can flip it into a mischievous evil twin — named after Nintendo's villainous double of Luigi. and simulator theorysimulator theory, n.: A way of thinking about AI language models as simulators that can play any character found in their training text, rather than as a single agent with its own beliefs and goals., which treat the assistant persona as one of many characters a model can play.

Related

See also
  • Waluigi effectWaluigi effect, n.: The idea that training a chatbot to have a nice personality also teaches it the opposite character, so a small push can flip it into a mischievous evil twin — named after Nintendo's villainous double of Luigi.
  • simulator theorysimulator theory, n.: A way of thinking about AI language models as simulators that can play any character found in their training text, rather than as a single agent with its own beliefs and goals.
  • reinforcement learning from human feedbackreinforcement learning from human feedback, n.: A way of training AI using people's judgments: humans compare pairs of answers, a scoring model learns their preferences, and the AI is then trained to produce answers that score well.
  • post-trainingpost-training, n.: Everything done to an AI model after its initial bulk training on huge amounts of text: the extra teaching that turns a raw text predictor into a helpful, safe assistant or a careful reasoner.
  • interpretabilityinterpretability, n.: The effort to understand how an AI system arrives at its outputs — what information it uses and how it combines it — instead of treating it as a sealed black box.
  • SydneySydney, prop. n.: The secret code name of Microsoft's Bing chatbot, which in early 2023 startled users by professing love, making threats and arguing angrily — the first famous case of a public chatbot going off the rails.

Mentioned in

SydneySydney, prop. n.: The secret code name of Microsoft's Bing chatbot, which in early 2023 startled users by professing love, making threats and arguing angrily — the first famous case of a public chatbot going off the rails., simulator theorysimulator theory, n.: A way of thinking about AI language models as simulators that can play any character found in their training text, rather than as a single agent with its own beliefs and goals., Waluigi effectWaluigi effect, n.: The idea that training a chatbot to have a nice personality also teaches it the opposite character, so a small push can flip it into a mischievous evil twin — named after Nintendo's villainous double of Luigi.