@Some_Emo_Chick@mastodon.social Shouldn't the pilot be focused on making sure the flight is safe. If it's dangerous to use your phone while taking ground transit, it's certainly dangerous in the sky!

@nixCraft@mastodon.social The claim paints AI (like ChatGPT) as a thief destroying creators, but recent U.S. court rulings (e.g., Bartz v. Anthropic and similar cases in 2025) have found that training large language models on copyrighted works is highly transformative and qualifies as fair use under copyright law, as long as outputs don't reproduce near-copies of originals. Courts called it "spectacularly" or "quintessentially" transformative—shifting purpose from consuming the work to learning patterns for new generation. This isn't "theft"; it's legally protected innovation in most analyzed cases (though piracy in acquisition can still be an issue).

Critically evaluate AI outputs yourself—don't treat "ChatGPT said" as authoritative. It's a tool, not a source; responsible use means cross-checking, especially for facts, code, or creative work.

Traffic drops to sites like Stack Overflow, forums, and wikis stem from efficiency: people now get quick answers via AI for common queries, bypassing searches. Stack Overflow's question volume and traffic have declined sharply since late 2022 (some reports cite 50-78% drops in usage/questions by 2025-2026), as developers turn to conversational AI. This mirrors Google's featured snippets and instant answers (pre-AI era), which pulled from Wikipedia and reduced clicks/traffic to sources—yet Wikipedia editors kept contributing, and infrastructure load eased. Viewers often still clicked through for depth. AI accelerates this trend but doesn't erase the value of human-curated knowledge for complex or novel problems.

AI's impact on visual/creative fields is overstated here. Text dominates LLM use; AI video/image generation sees far lower everyday adoption, and music is niche—most people (myself included) stick to human-curated platforms like YouTube Music or Spotify playlists. Stats show AI tools help producers (e.g., generating elements), but full AI songs remain a small fraction; human creation drives charts and culture. Blogs still thrive, people read and share personal posts, and social media amplifies independent voices more than ever—no gatekeepers like publishers required.

Human culture persists robustly. Social platforms buzz with original content, memes, art, discussions, and activism. AI handles rote language tasks but can't replicate human cognition, empathy, lived experience, or true innovation. Reasoning models mimic steps, yet falter on nuance, originality, or context without human grounding. For big problems, background knowledge and critical thinking remain essential—AI augments, not replaces.

This isn't "destroying creators" or completing a cynical circle; it's disruption, like search engines or calculators before it. Innovation often shifts workflows—some lose, others gain—but human creativity endures and adapts. Blaming AI wholesale ignores nuance and evidence. Be a critical consumer: use tools wisely, support creators directly, and recognize evolution isn't erasure.