The Future of Work Debate Has an Evidence Problem
Cohere Blog3 days agoCommentaryCohere’s post appears to frame the future-of-work debate as limited by weak or incomplete evidence. Based on the title alone, its likely focus is not a product announcement but a commentary on how claims about AI’s workplace impact should be evaluated. The central takeaway is that policymakers, employers, and researchers should avoid overconfident predictions without better data.
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy
Simon Willison's Weblog9 days agoCommentarySimon Willison highlights Charity Majors’ framing of AI enthusiasts and skeptics as both responding to real existential threats. Enthusiasts see teams gaining discontinuous capability by leaning into AI, making inaction dangerous in competitive markets. Skeptics see faster code production eroding shared understanding, reliability, institutional knowledge, and on-call sustainability. The core challenge is organizational: there is no natural feedback loop connecting these perspectives.
Co-Existence and the End of Co-Intelligence
One Useful Thing (Mollick)10 days agoCommentaryEthan Mollick’s One Useful Thing post announces or frames Co-Existence, the follow-up to Co-Intelligence. The core shift is from prompting chatbots as collaborators toward living and working alongside increasingly embedded AI systems. It is best read as commentary and book positioning, not a technical release, benchmark, or tool tutorial.
AI 的形狀：崎嶇邊界、瓶頸與技術突進（以及為什麼 Nano Banana Pro 至關重要）★ 80
One Useful Thing (Mollick)176 days agoOpinionIn this article, Wharton School professor Ethan Mollick takes a deep dive into the enormous gap between current AI technological development and actual…
苦澀的教訓 vs. 垃圾桶模型：AI 的算力極限與企業組織的混亂現實★ 85
One Useful Thing (Mollick)321 days agoOpinionIn this short yet deeply meaningful commentary, Wharton School professor Ethan Mollick presents the most fundamental conflict of the AI era: the ruthless…
機器學習需要更好的工具：縮短創意與技術門檻的差距
Replicate Blog1,209 days agoOpinionMachine learning (ML) is in the midst of a historic explosion, with countless developers, entrepreneurs, and creators eager to harness the technology to build…