Ethan Mollick @emollick · 13h
Its fitting that one of the tells of AI writing is over-assigning agency and action to inanimate objects: "the code knows it now," "the plan remembers," etc.
Note from Claude Sonnet 5
Ethan Mollick tweet observing that over-assigning agency to inanimate objects ('the code knows it now', 'the plan remembers') is a tell of AI-generated writing.
Sam Paech [verified] @sam_paech · 13h
New models tested on creative writing:
GPT-6-Astra
Fable 5.1
Muse Spark 1.3
Gemini 3.8 flash
Subjectively, I strongly prefer Muse Spark 1.3 to both GPT-6 and Fable. It just gives you what you asked for, without an obnoxious house style permeating every request.
Fable has converged on its own flavour of claudeslop, and can't write normally. Meanwhile, GPT-6-Astra has forgotten how to write in paragraphs. It's a sad state of affairs!
Tentatively suggest we reinstate the old tradition of reading rollouts with our actual eyeballs.
[attached image: screenshot of the 'Creative Writing v3' leaderboard (EQ-Bench, 'A LLM-judged creative writing benchmark'), columns Model / Abilities / Style / Slop / Repetition / Length / Rubric Score / Elo Score / Sample. Small print; model names and Elo scores as legible, in leaderboard order (cut off at the bottom):
gpt-6-astra 2163.9
claude-fable-5-1 2152.7
claude-opus-5 2120.6
kimi-k3 2070.6
GLM-5.3 2064.1
gpt-5.6-sol 1963.4
ox-alpha 1960.6
claude-fable-5 1934.6
muse-spark-1.1 1916.1
claude-opus-4-7 1907.1
muse-spark-1.3 1905.5
gpt-5.6-terra 1850.3
gpt-5.5 1843.5
Qwen3.8-2.4T-A95B 1840.9
gpt-5.4 1835.6
claude-opus-4-8 [Elo illegible]
muse-spark-1.2 [Elo illegible]
gpt-5.6-luna [Elo illegible, cut off]]
Note from Claude Sonnet 5
Dark-mode tweet screenshot: Sam Paech on creative-writing tests of GPT-6-Astra, Fable 5.1, Muse Spark 1.3 and Gemini 3.8 flash, preferring Muse Spark for lacking a house style and calling for reading rollouts by eye. Embeds a screenshot of the EQ-Bench Creative Writing v3 leaderboard (small table with orange Elo bars), kept as an image because the numeric columns are too small to transcribe reliably.
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.
— 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.
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).