Throwing AI-generated walls of text into conversations
AI tools are enabling people to paste long, generic, LLM‑generated answers into chats and emails in response to simple, context-specific questions, a practice some are calling “slop grenades.” Many see this as disrespectful and counterproductive: it obscures the sender’s actual understanding, wastes readers’ time, and undermines trust in written communication, even when text is human‑written. Others note that AI can still be valuable for non‑native speakers, summarization, or drafting—provided the human takes responsibility to edit, contextualize, and clearly separate their own judgment from the model’s output.
Overall reaction to “slop grenades”
- Many see pasting full AI chat responses into Slack/email/Jira as lazy, disrespectful, and a kind of social DoS: low-effort to send, high-effort to read, often low-value.
- Several argue that if you ask a person, you want their judgment and context, not a raw AI dump you could have generated yourself.
- Long AI text is seen as especially harmful when it’s used to feign expertise, pad effort, or shut down back-and-forth discussion.
When long messages are acceptable
- Multiple commenters defend long human-written messages when:
- They provide necessary context, nuance, and constraints.
- They answer complex technical questions or document decisions.
- Others counter that even then, structure and brevity (bullets, summaries) show respect for readers’ time.
AI as writing aid vs. replacement
- A recurring distinction:
- Good use: shortening, cleaning up language, proofreading, translating, improving clarity while keeping human thought central.
- Bad use: outsourcing thinking, expanding bullets into fake “documents,” blindly pasting AI output.
- Non‑native speakers and less confident writers are cited as legitimate beneficiaries when they still review and edit AI suggestions carefully.
- Some warn that over-reliance harms skills and flattens individual voice into “LLM-speak.”
Debate on the site/post itself
- Many insist the anti‑slop page itself “sounds like” AI-generated marketing copy; others find it crisp and human.
- Tools that “detect AI” are mentioned but broadly treated as unreliable.
- Irony of using AI-like rhetoric to criticize AI slop is heavily noted.
Norms, culture, and etiquette
- Some want strong taboos: explicit pushback, refusal to engage with AI walls, or even HR-level intervention.
- Others frame it as a cultural mismatch: in some “communication cultures” people think they are being extra helpful by adding AI research.
- There’s disagreement over how harshly to respond; suggestions range from polite coaching (“summarize this briefly”) to outright ignoring or deleting such messages.
Coping strategies and countermeasures
- Common tactics:
- Asking for a concise, human summary or explicit “I don’t know.”
- Using AI locally to summarize incoming slop (with some resignation).
- Acronyms and norms (TL;DP, AI;DR; linking etiquette pages) to signal expectations for brevity and authenticity.