热议 AI companies are shredding rare books

Hacker News · 778 分 · 503 评论 · https://xcancel.com/HedgieMarkets/status/2081534588485296565

热议 US citizen charged after GrapheneOS phone wipes during airport search

Hacker News · 1309 分 · 1065 评论

热议 Open-weight AI is having its Kubernetes moment

Hacker News · 411 分 · 321 评论

热议 Startup founders urge U.S. government not to shut off Chinese open weight AI

Hacker News · 1067 分 · 889 评论 · https://littletech.org/ https://static.politico.com/4a/bf/9c4021d8404386b0a311dcccf0...

热议 AI Companies Are Trying to Hide a Staggering Amount of Debt

Hacker News · 694 分 · 378 评论

热议 Are AI labs pelicanmaxxing?

Hacker News · 681 分 · 242 评论

热议 Quality non-fiction books are the antithesis of AI slop

Hacker News · 492 分 · 238 评论 · https://book-prize-index.vercel.app/

热议 Businesses with ugly AI menu redesigns

Hacker News · 381 分 · 303 评论

热议 Five US tech giants' hidden debts soar to $1.65T on opaque AI funding

Hacker News · 382 分 · 272 评论 · https://archive.ph/20260720174223/https://asia.nikkei.com/bu...

热议 China’s open-weights AI strategy is winning

Hacker News · 1241 分 · 932 评论

热议 Airport Simulator

Hacker News · 855 分 · 167 评论

热议 AI Mania Is Eviscerating Global Decision-Making

Hacker News · 453 分 · 291 评论

热议 NYC may require landlords and realtors to disclose the use of AI in listings

Hacker News · 591 分 · 265 评论

热议 What AI did to stackoverflow in a graph

Hacker News · 482 分 · 583 评论

热议 Why do AI company logos look like buttholes? (2025)

Hacker News · 452 分 · 146 评论

热议 Kaiser nurses say AI, surveillance are making their jobs and patient care worse

Hacker News · 562 分 · 379 评论

热议 The state of open source AI

Hacker News · 486 分 · 357 评论

热议 LM Studio Bionic: the AI agent for open models

Hacker News · 324 分 · 127 评论

热议 $100 AI Music Video: Claude Fable 5 vs. GPT-5.6 Sol

Hacker News · 396 分 · 536 评论

资讯 The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none