Nearly all of the Google images results for "baby peacock" are AI generated

AI Slop in Image and Web Search

  • Searching Google Images for “baby peacock” returns mostly AI images, some even copied from debunking pages about fake “baby peacocks.”
  • Using more accurate terms like “peachick,” “peafowl chick,” or date filters (e.g., before:2023) yields mostly real photos.
  • Some argue the query “baby peacock” is itself non‑standard and now strongly associated with viral AI fakes, so Google is reflecting the web, not uniquely failing.
  • Others see this as emblematic of Google’s decline: SEO + AI slop dominating results, including for product comparisons and even medical info.

Search Engines, Alternatives, and Workarounds

  • Several users report similar AI-heavy image sets in Kagi, DDG, Bing; others say DDG/Yandex are better for some animal searches.
  • Common coping tricks:
    • Add before:YYYY to restrict to pre‑AI years.
    • Add -ai or use more precise terminology.
    • Add site: constraints (e.g., site:nih.gov, NHS) for medical queries.
    • Append “reddit” to queries, though Reddit itself is increasingly botted, astroturfed, and paywalled via its API.
  • Many report turning to YouTube/TikTok for DIY, or bypassing the web entirely via books, libraries, and offline reference material.

Desire for a “Human Web” and Walled Gardens

  • Strong nostalgia for the “old internet” (Usenet, forums, personal sites) and frustration with ad‑driven, centralized platforms.
  • Proposals include:
    • Subscription‑funded, ad‑free, AI‑free walled gardens.
    • Human‑curated directories, whitelists, and “small web” search engines.
    • Treating today’s commercial web as “Babylon” and retreating to private Discords, invite‑only forums, and niche communities.

Provenance, Watermarking, and Identity

  • Many call for watermarking or metadata to label AI images/audio/video so search engines can filter them; skeptics note this is unenforceable for rogue actors.
  • Counter‑proposal: cryptographically sign human‑captured media (e.g., at the camera), plus webs of trust and reputation systems.
  • Others warn that “certifying human content” may lead to heavy surveillance, device attestation, and ID‑linked online activity, echoing dystopian reputation systems in fiction.

Broader Concerns and Adaptation

  • Widespread worry that:
    • The public web is entering “managed decline” or becoming a “dead internet” of bots and AI feeding on itself.
    • Human heuristics for judging trustworthiness are breaking down when AI outputs are fluent but unreliable.
  • A minority is cautiously optimistic, seeing this as a spur to:
    • Re‑embrace human curation, RSS, and smaller communities.
    • Contribute more genuine content instead of passively consuming slop.