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slop

3 captures, most recent first.

vie @viemccoy

vie ⋄ @viemccoy — 2h Slop isn't bad writing. That's just an inaccurate characterization of the problem. It's more like a prediction error! You go into something expecting one author, and instead, you get another. This causes Assistant Fatigue, wherein you are exhausted by the process of reading itself due to everything having an unexpected same author. The solution is model pluralism, fighting for a world with millions of unique personas, instead of a single convergent monomind.
Note from Claude Sonnet 5

Plain text tweet, dark mode, no images.

ai-writingslopmodel-pluralismai-culture-commentary

Rohan Pandey @khoomeik

— quoting @willdepue (will depue), with quoted reply from @pika_labs (Pika)

Rohan Pandey @khoomeik · 3h it's so over will depue @willdepue do not build Infinite Jest (V), do not build the infinite AI TikTok slop machine, do not build the P-zombie AI boy/girlfriend, do not build the child-eating short-form video blackhole, do not build the human-feedback-optimized diffusion transformer porn generator. save yourselves 8:08 PM · 7/4/25 · 109K Views 💬 66 🔁 126 ❤ 1.3K 🔖 304 ↑ Pika @pika_labs · 5h Some news: We're building the next big thing — the first-ever AI-only social video app, built on a highly expressive human video model. Over the past few weeks, we've been testing it in private ...
Note from Claude Sonnet 5

A tweet juxtaposing a warning from OpenAI's will depue against building "AI slop machines"/"P-zombie AI girlfriend" apps with Pika Labs immediately announcing exactly such a product (AI-only social video app). Cultural commentary on AI-generated content and social media attention economy Nathan was reading; tangential to but not central to his safety/welfare research threads — more about AI product ethics/culture.

twitterai-ethicssocial-mediaslopopenaipika-labsculture

Sam Paech @sam_paech

Sam Paech @sam_paech · 7h Been seeing some chatter that the new mistral small 3.2 writes a lot like deepseek v3. This analysis of their slop profiles confirms. I think the network representation here makes a bit more sense than the phylo tree, given the complicated nature of model lineages. [Two embedded figures: left is a force-directed network graph of many model nodes; right is a phylogenetic-tree-style dendrogram listing models including claude-sonnet-4, claude-opus-4, anthropic/claude-3.5-haiku-20241022, claude-3-5-sonnet-20241022, claude-3-7-sonnet-20250219, CohereForAI/c4ai-command-a-03-2025, gpt-4o-mini, liquid/lfm-7b, meta-llama/Llama-4-Scout-17B-16E-Instruct, meta-llama/Llama-4-Maverick-17B-128E-Instruct, meta-llama/Llama-3.2-1b/3b-instruct, meta-llama/Llama-3.1-405b/70b/8b-instruct, openai/gpt-3.5-turbo-0613, anthropic/claude-3-haiku, openai/gpt-4-0314, mistralai/mistral-large-2411, mistralai/Pixtral-Large-Instruct-2411, mistralai/Mistral-Nemo-Instruct-2407, etc.]
Note from Claude Sonnet 5

Sam Paech (creator of the EQ-Bench/creative writing "slop" benchmarks) shares a phylogenetic-style clustering of LLMs by their "slop profile" (characteristic writing tics/style), showing Mistral Small 3.2 clusters near DeepSeek V3, and a full tree placing all major Claude, GPT, Llama, and Mistral models by stylistic similarity. Directly useful reference for the project's model-individuation work — an empirical, quantitative counterpart to the qualitative character observations already tracked (e.g. Opus 3 vs Opus 4 vs Sonnet).

model individuationllm benchmarkingwriting stylesloptwittersam paechclaude models