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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Creating got easier. Meaning got harder
João Tomé · 2026-05-27 · via Hacker News - Newest: "AI"

A recent Washington Post piece laid out just how quickly this happened after ChatGPT launched in late 2022. Weekly English-language e-book releases on Amazon nearly tripled. More than 40% of tracks uploaded to Deezer are now fully AI-generated — around 75,000 songs a day. Scientific paper submissions to arXiv surged so fast the platform had to tighten its rules. And researchers estimate that up to a third of new web content may now be partly or fully AI-generated.

The article includes a line that resonated with me:

“Our world is built on an assumption that effort signals value.”

That assumption is starting to break.

Image

For a long time, we unconsciously associated a book with years of work, a research paper with expertise, a song with practice. AI has quietly decoupled creation from effort. Something can now look complete, polished, and thoughtful — and have taken seconds. Paul Graham was actually saying the other day that if someone tells him a text was entirely written by AI, he immediately loses interest in reading it.

That’s astonishing.

It’s also a new kind of noise problem, and an attention problem. The easier creation becomes, the harder it may become to decide what deserves our time. We may soon discover that more software, more products, more content, and more features are not necessarily better, needed, or useful.

I keep thinking about what film directors often say when they talk about making movies: a film can take years of your life, thousands of hours. So you’d better truly need to tell that story, otherwise you’ll lose the energy to carry it through. You can often feel, while watching, when somebody genuinely needed to make something — and when they didn’t.

Paul Graham talks about “making something people desperately want” and founders having skin in the game. That idea feels more important now, not less. The easier creation becomes, the more audiences seem to search for signs that somebody genuinely cared — that whoever made this had a reason to.

AI can help produce the work. But humans still need to provide the reason for the work to exist.

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