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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
Opinion | Will AI kill the middle class?
Brian P. Klein · 2026-06-24 · via Hacker News - Newest: "AI"

Warning signs are flashing from experts, entrepreneurs and workers concerned that automation is coming for a wide range of information-oriented jobs. What ordinarily would be just another boom-bust cycle fuelled by computer-generated efficiency, a typewriter to keyboard type of evolution, is this time threatening to overturn the basic social contract between employers and employees. Unless and until this is taken seriously by policymakers, the modern middle class risks becoming a relic of simpler, more equitable times.

Anthropic CEO Dario Amodei said during an interview with 60 Minutes that artificial intelligence could “wipe out half of all entry-level white collar jobs and spike unemployment to 10-15 per cent”. His concerns are not misplaced. Early artificial intelligence (AI) pioneer and Nobel Prize winner Geoffrey Hinton has said AI will replace “mundane” intellectual work, which he equated to white collar jobs.

When the creators of a new technology warn about its potential to destroy the primary engine of global growth of the past half-century, it’s worth paying attention.

We are at another transition in the world of work, one where the designers of AI promise to replace not just physical labour through robotics but our thinking work as well. That has tremendous ramifications for what humans will do for employment and whether a vibrant middle class can survive. Perhaps robotics repair technicians will eventually replace auto mechanic jobs, or robots will be trained to fix themselves with near-instantaneous downloads of instruction manuals any time of day.

AI isn’t just a tool like computers, the internet, smartphones and other digital innovations of the past. Those previous leaps in technological augmentation enabled people to do more and different things. Graphic designers could upskill into electronic publishing and web design without the computers they used replacing them. The humble word processor didn’t obviate the need for typing. When machines become the focal point of information creation, companies no longer need to pay people, or at least they will need far fewer than in the past.

Proponents expect that at some point people will simply use AI like any other tool. They won’t need to know how to code or even give the system prompts. Simple speech will be enough. That sounds good in principle – everyone becomes the owner of their own personal AI assistant that is forever eager to satisfy any command, day or night. That assistant wouldn’t even need health insurance.