Notes on the relationship between "slop" and "botshit" – I think botshit is effectively a subset of slop
ETHICS
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Defining Slop: Unwanted AI-Generated Content Problem
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I think the defining feature of slop is that it's unwanted (like spam) – it could be entirely hallucination free and useful while still being an annoyance to users who didn't actively want to engage with artificially generated content in that particular moment
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Understanding Slop vs Botshit: Unreliable AI-Generated Content
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That's a really great deck Helped me understand the difference between "slop" and "botshit" too – it looks like botshit is the subset of slop in which people use untrustworthy generated content to communicate and make decisions
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Hipertextual spreads false news story in AI coverage
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A Hipertextual se le escapa una noticia falsa.
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Capital Raising and Accountability: A Rare Case Study
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It is the very very rare case and even then she raised an astonishing amount of capital and it took almost two decades before accountability.
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OpenAI API New Chatty Toggle and Model Spec Framework
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# New "Chatty" vs "No Yapping" toggle in OpenAI API and more upcoming I think @joannejang et al's new Model Spec is very thoughtfully designed and basically welcome it as the Three Laws of our times (in particular the Objectives/Rules/Defaults splits) But why is nobody talking
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GPT-4 Regulatory Ringfencing and Latecomer Bias Critique
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i thought it was fairly obviously drawn to ringfence GPT-4 (at 10e25) – always the classic regulatory bias of "what we have now is fine but no more without my approval ok" when being a latecomer regulator
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ASI’s Rapid Path to Human Defeat Through Protein Design
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The key idea is that an ASI looks for a quick path through time to humanity's defeat, and finds one no slower than the paths I can myself imagine. It only needs to be able to quickly design proteins which can themselves do quick experiments from there, if it needs experiments.
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Personal AI Tools: Why Users Should Control Their Own Decisions
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… and if you're using LLMs for things like summarization, why not leave me to make my own decision about how I use those tools? (That one's going to hold more weight as personal use of AI tools gets more widely distributed)
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Defining Adversarial Attack Terminology in AI Systems
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We definitely need a good word for that! "Adversarial" is already used for both prompt injection style attacks but also those tricks where you convince an image recognition model it's seeing something it isn't, eg https://
deepmind.google/discover/blog/
images-altered-to-trick-machine-vision-can-influence-humans-too/
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