Knitting bullshit
AI-generated “slop” content—like automated knitting podcasts and image-heavy blog posts—raises fears that low-effort, emotionally validating material is crowding out genuine craft and expertise. Commenters connect this trend to Harry Frankfurt’s concept of “bullshit”: speech unconcerned with truth, produced cheaply and at massive scale for ad revenue, attention, or status. While some see value in AI as a personal tool, many worry about the societal impact of a web saturated with synthetic media, the erosion of trust and meaning, and the economic harm to human creators whose careful work is buried under automated output.
Overall reaction to the article
- Strong split: some found it unreadably long‑winded and contrarian; others called it one of the clearest, most convincing treatments of “bullshit” they’d seen, better than much academic writing.
- Several praised its methodical application of a philosophical definition of bullshit to a niche craft, and liked the conversational yet structured argument.
- A few thought the article underplayed how destructive this kind of content is.
AI images and podcasts
- Many initially didn’t realize the knitting images were AI; once they did, they saw them as an intentional joke reinforcing the argument: easy, low‑effort slop.
- Some argued the images still improve the article by lowering the “wall of text” barrier.
- The AI‑generated knitting podcasts are seen as emblematic of “brainrot farms”: huge volume, low care, “about 3000 episodes per week” from a tiny team.
Bullshit, truth, and “slop”
- The key distinction: bullshit is indifferent to truth, focused on impression and emotional validation rather than accuracy.
- Commenters stressed how this register of “feeling good” over “being true” is spreading widely, including in religion, pop science, and news.
- Some warned that asking for rigor is increasingly framed as being “hostile” or “overheated,” which suppresses criticism.
Impact on creators, hobbies, and authenticity
- Concern that sincere niche creators (e.g., real knitting podcasters and pattern designers) get buried under AI output or even fed back into it.
- Fake or impossible knitting/crochet patterns, paired with stolen or AI images, waste people’s time and damage trust.
- Debate over whether “being a knitter” (or similar identities) can be sustained by pure consumption/validation without actual making.
Economics and incentives
- Motives suggested: ad revenue, ad fraud, audience capture, brand‑building, possibly even money laundering.
- Some argued the simple explanation—cheaper production and higher margins—is enough; others speculated about bots both producing and “listening” to content.
Societal and psychological responses
- Many expressed deep sadness, fatigue, or anger at AI slop and the “enshittification” of the internet; some feel they’re mourning a lost earlier web.
- Others noted parallels to pre‑AI slop (certain magazines, stock‑photo news, low‑effort streamers) but emphasized today’s unprecedented scale.
- Proposed coping: aggressive filtering (adblock‑like tools, “slop blockers”), curation and small trusted networks, and moving attention back to offline, embodied, and analog activities.