Proof of care in the age of AI
Amid a flood of AI-generated “slop,” commenters examine whether visible effort — such as handwritten essays, typewritten pages, or one-take videos — can serve as a new “proof of care” signal that something is worth a reader’s limited attention. Many appreciate the creativity and human connection of labor-intensive mediums, but others argue that content quality, accuracy, and usefulness should matter more than the form or effort behind it, and note that handwriting can be exclusionary or easily faked with machines. Underneath is a broader anxiety about trust, provenance, and how to filter information in an era where AI can mimic traditional cues of authenticity.
Reactions to the Handwritten Medium
- Many found the handwritten, mirrored, “ergodic” format fun, novel, and attention-grabbing; several said it made them slow down and read more deliberately.
- Others bounced off it: hard-to-read handwriting, mirrored text, and images made some stop early or jump to the plain-text/archived version.
- Some felt the medium overshadowed the message or made the reading experience worse compared to conventional text.
- A few nitpicked continuity and spelling, but also praised the visible “flow” of the handwriting as an intimate, human-feeling experience.
Idea of “Proof of Care”
- Core takeaway: use costly, low-bandwidth processes (handwriting, tattooing, one-take video, whiteboard photos) to signal that a message truly matters to the sender.
- Multiple commenters stressed this is about signaling commitment and attention, not proving human authorship.
- Others questioned whether anyone actually cares about effort vs. outcome, and whether this is more about attracting attention than about the content itself.
AI Authorship, Trust, and Creativity
- Some readers initially assumed the piece was AI-generated; that ambiguity itself was part of the discussion.
- One camp: only content quality and usefulness to the reader matter; “theater of proof” around being non-AI is pointless.
- Opposing camp: AI hallucinations and generic style erode trust; once something “feels” like AI, they mentally devalue all of it.
- There’s debate over whether LLM use meaningfully harms human connection or can be just another tool in a human’s expressive pipeline.
Signals, Filtering, and Slop
- Several see “proof of care” as one proposed filter in an environment flooded with low-effort AI slop and filler content.
- Others propose more traditional filters: time, pedigree, reputation, and stronger antitrust/market discipline.
- Some advocate aggressively ignoring most content and using LLMs themselves to summarize low-information articles.
Accessibility and Fairness Concerns
- Handwriting-as-signal drew criticism as “ableist” and unfriendly to visually impaired readers.
- Counterarguments: it’s just one of many possible costly signals, and alternatives (typed text, other media) can coexist.
- Related concern: such signals can be gamed via pen plotters, paid hand-copiers, or AI-generated handwriting, undermining their reliability.