March 14, 2026
Slack wars: Bots vs. Blurts
Allow me to get to know you, mistakes and all
Your typos are my love language—stop outsourcing your messages
TLDR: An essay slams AI-polished texts for erasing people’s tone and breaking the “social handshake” that helps coworkers understand each other. Comments erupted: some vow to ignore robot-sounding Slack and even ban ChatGPT internally, while others insist polishing is a healthy boundary—sparking a loud culture clash over authenticity at work.
The post argues that running messages through an AI “polisher” hides your real voice and breaks the social handshake that helps people read tone, intent, and quirks. In plain terms: the author wants your messy texts—typos, weird idioms, and all—because that’s how we actually get to know each other, not a genericizer’s copy.
Commenters came in hot. charlie0 called AI-written Slack posts a new pet peeve and swore, “I’m going to just stop communicating via text with these people.” jay_kyburz cracked that there are only two emails now: short and clear, or long and glazed-over by a robot. Meanwhile, stingraycharles said their team explicitly discouraged ChatGPT for internal messages, allowing tiny fixes with tools like Grammarly but banning AI “polish” for day-to-day chat.
Then came the backlash. rexpop snapped, “You are not entitled to get to know me,” framing AI polish as a healthy boundary: different audiences deserve different selves. Others raged at the bloat: DrammBA groaned about slogging through “hollow LLM text expansion,” a whole paragraph spun from a one-line prompt. The memes wrote themselves—“eyes glazing,” “robot voice,” and “waffle emails.”
Verdict: it’s a vibe war in your inbox—authentic blurts versus curated bots—and nobody’s muting notifications. For now, anyway.
Key Points
- •The author critiques using LLMs to rewrite internal or direct messages.
- •They argue LLM processing obscures the sender’s original intent and word choices.
- •Personal writing style and tone help recipients interpret meaning based on prior interactions.
- •LLM use is said to disrupt interpersonal “synchronization” or the social handshake in communication.
- •The author advocates embracing imperfect, authentic wording to preserve context and understanding.