I'm Tired of Talking to AI
Growing reliance on large language models is leaving some internet users and professionals feeling alienated, as more emails, specs, support replies, and even casual messages are obviously AI-generated or simply screenshots from chatbots. Commenters describe AI as a useful tool when used to augment genuine expertise, but argue that outsourcing basic thinking, communication, and decision-making to machines erodes trust, slows real work, and makes authentic human interaction harder to find online. Many foresee a cultural adjustment ahead: new social norms that stigmatize raw AI slop, a renewed premium on in‑person or small‑community contact, and a sharper divide between people who use AI thoughtfully and those who act as mere proxies for it.
AI-Mediated Communication Feels Hollow and Disrespectful
- Many describe a growing fatigue with receiving AI screenshots or pasted LLM text instead of a real reply.
- It feels like people are “outsourcing thinking,” dodging responsibility and engagement, and turning conversations into one-sided info dumps.
- This is compared to an evolved form of “let me Google that for you,” but worse because AI output is often verbose, wrong, and socially flattening.
- Some now quietly ignore or avoid coworkers who respond this way, or explicitly tell them “I can ask the AI myself; I wanted your view.”
AI at Work: Tool vs. Crutch
- Used well, AI helps with code hints, analysis, summarizing logs, generating drafts, and navigating complex systems (e.g., travel planning, troubleshooting).
- Used badly, it generates pseudo-specs, bloated PRs, hallucinated architectures, and “fake progress” that engineers must painstakingly unwind.
- Non-technical managers and weak contributors are seen leaning hardest on AI, sometimes projecting that if AI could replace them, it can replace everyone.
- There’s concern that those who act as mere “AI proxies” are making their own jobs obviously automatable.
Content Quality, Detection, and “AI Slop”
- Many perceive a flood of AI-generated “slop” across Reddit, YouTube, GitHub, blogs, even internal tickets.
- AI detectors are widely criticized as unreliable and prone to false positives; rising “AI scores” may partly reflect humans writing more like LLMs.
- Some see AI as just accelerating pre-existing dysfunction: content farms, SEO spam, templated writing now scaled up.
Trust, Manipulation, and Bots
- Commenters describe large-scale astroturfing, nudge campaigns, aged/botted accounts, and speculate that platforms quietly tolerate or contribute to fake activity for “line go up” metrics.
- This fuels a broader “trust crisis”: doubts about whether posts, comments, music, books, or even friends’ messages are genuine.
Human Contact, Norms, and Pushback
- Many advocate retreating to offline life: travel, concerts, local communities, small invite-only forums, and face-to-face conversation.
- There are calls for new norms: never forwarding raw AI output, clearly labeling AI-assisted text, and shaming thoughtless use in professional settings.
- Others are more accepting, viewing AI as another tool wave we’ll eventually normalize, though they acknowledge this transition is socially rough.