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AI has alternated between research and scaling from the beginning: 1950s: Research (early days) 1960s: Scaling (search) 1970s: Research (knowledge representation) 1980s: Scaling (expert systems, Cyc) 1990s: Research (machine learning) 2000s: Scaling (data mining) 2010s: Research (deep learning) 2020s: Scaling (LLMs) 2030s: Research (TBD)
Professor of computer science at UW and author of '2040' and 'The Master Algorithm'. Into machine learning, AI, and anything that makes me curious.
I wish there was a code of ethical marketing. - Don't lie about your revenue. - Don't use fake testimonials. - Don't promote your own work on a competitor's content. - Don't create urgency with fake short-term sales. - etc. Then like a "hall of shame" where you could expose ppl
I've always liked to believe that "the arc of the moral universe is long, but it bends toward justice." But I'm not sure those words apply to internet marketing—or at least not on a time scale that matters much. There's not enough of a negative feedback loop for bad behavior.
RT @Justin_Halford_: @dwarkesh_sp The evals fail to capture multi turn, long horizon, non-ideal flows. Our tests are simplistic/generally f…
傅盛老师这个观点「同样是AI编程交作业，0基础的同学反而比程序员做得更好」，部分同意。 同意的是: 业务同事，确实在一线更贴近用户和需求，更知道哪里疼，要怎么解。也更知道怎么才算止疼和解题了。 不同意的是: 清楚痛点，理解需求，只是前置的输入和后置的验收更有优势，中间部分完全由 AI 编程或 Vibe Coding，还是有不少局限性的。可能简单场景，小功能等不需要反复迭代和维护的功能(更不提后端和数据、安全等) 确实提效很明显，不假手于人，不用给产研团队下需求等排期。 不过这个局限性，千万不能被业务忽视，不然会走向「前端已死」「程序员不再需要了」「人人都能开发」的陷阱，各种大会说说就罢了，企业里还是要清醒。 这里也想起前些天面试的一个团队，产品经理10人，开发3人(前端1 后端2)，我问 CEO 这样的配置是什么考虑呢？答说目前产品经理用 AI 编程就把产品写好了，已经快上线了，3个开发主要是初期搭架子，技术选型之类，平时业务开发不太用他们。这让我非常好奇，到底是什么产品，面向用户的阶段还是 AI Coding 的，坐等他们产品上线去体验。
邵猛，中年失业程序员 😂 专注 - Context Engineering, AI Agents. 分享 - AI papers, apps and OSS. ex Microsoft MVP 合作 - 私信/邮箱：shaomeng@outlook.com 📢 公众号/小红书: AI 启蒙小伙伴
Why, when and how ML models generalize is not just the deepest question in ML, but one of deepest questions humans have ever encountered in any sphere of thought.
Interests: AI (Safety), meditation, philosophy, mathematics, algorithms If I say something you disagree with, please dm or quote tweet. I love to argue!
The new Stripe profile feature is so nice! Now let's go to all the posts with suspicious fake MRR screenshots and ask "where is your Stripe profile link?" 🤣 https://t.co/mN7kIwJQlX
Also PDF Vector churn is now 5% 🥳🎉🙌
