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星期五1456 条

  3. Ethan Mollick
    AI 评分31

    Mollick：AI 无约束，科研方式需重思

    Eva Vivalt 发布新工作论文，探讨 AI 能否依据预注册文件预测经济学中的处理效应，结论是“可以”。Ethan Mollick 就此评论：学者写一篇论文投入巨大，因此常选择预期能产出有趣且显著结果的课题，这也把研究推向可预测的方向；而 AI 没有这种约束，迫使人们重新思考科学研究的许多做法。

    引用Eva Vivalt · @evavivalt

    New working paper: Can AI forecast treatment effects in economics from pre-registration documents? Answer: Yes. 1/ https://t.co/E1ety0gYCd

    #大佬观点#推理

  6. Ethan Mollick观点
    AI 评分55

    Ethan Mollick 评 DeepMind 智能经济学研究：智能体协调能力才是经济转型关键

    Ethan Mollick 评论 Google DeepMind 的《The Economics of Intelligence》研究，指出组织不只是最优秀个体的加总，因此单个智能体变强不会独自改变经济，能协同工作的智能体才可能带来转型。该研究由 Alex Imas、Andrew Koh 和 Shane Legg 发布，提出能力与协调两个经济能力门槛，并认为经济转型取决于 AI 成为超强个体、超强协作还是两者兼具。

    引用Alex Imas · @alexolegimas

    I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how AGI will change the economy. How do capability improvements transform the economy, and when? In this project, we define thresholds of economic capabilities, e.g., minimal AGI, based on how they transform the economy. We then track how the economy–market structure, employment, and wages–changes during the transition across capability regimes. We have seen exponential increases in what AI agents can do but the broader economy seems almost remarkably unchanged. Part of the reason is that the solo AI agent is the wrong economic object; economic transformation is an equilibrium outcome where organizations compete. Looking at how intelligence functions within organizations, transformation will depend on when two key capability thresholds are crossed: competence (gains on individual skills, e.g., coding, math) and coordination (gains on ability of agents to cooperate and work together). We show that what economic transformation looks like depends on whether AI becomes supercompetent, supercooperative, or both—the regime of artificial superintelligence (ASI). Tracking this transition shows why the real visible transformation may come from improvements in coordination—a capability most benchmarks don’t yet track. Past a certain threshold, AI capabilities can break the Coasian ceiling on firm size and lead to an economy that looks drastically different than the one we see today. Two main takeaways: 1. To understand the path of transformation, we should be tracking agentic coordination more closely. 2. The impact of AI will likely show up in wages before market structure or employment. We are really excited about this paper. Excited to hear people’s thoughts. Link: https://t.co/9DTGSeKoSA

    #大佬观点#Agent#论文/研究

  11. Mistral AI · X模型发布
    AI 评分65

    Mistral 发布新版 Le Chonk 权重，主打智能体编码与网络安全

    Mistral AI 发布新版 Le Chonk 的模型权重，称其在 Cognition 的 FrontierCode 上位列开放模型第一，并在 Artificial Analysis 的 Pareto 效率上创下新基准。该模型在网络安全防御方面被描述为达到 SOTA，并经过 CrowdStrike、Cloudflare、Rubrik、Zscaler 等厂商测试。权重已在 Hugging Face 开放下载，可用 Mistral Forge 定制并自行部署。

    同一事件 · 15 条报道

    #模型发布#开源生态#Agent

  15. Aidan Gomez
    AI 评分6

    Aidan Gomez 回应：Cohere 麦当劳签约故事属实

    针对有网友称 Cohere 联合创始人 Aidan Gomez 等人“走到附近麦当劳签 term sheet”的故事是“最假、最 gay 的以色列故事”，Aidan Gomez 回应称另外两个故事不确定，但这个故事“NOT fake”。

    引用Ketos The 3rd (of his name) · @i_heartosen

    @dopekingtravjr @cohere @aidangomez @1vnzh @nickfrosst "And then we walk to McDonald's nearby, sign the term sheet and eat our McDonald's" is the fakest and gayest israeli story ever.

    #其他

  16. Nathan Lambert
    AI 评分15

    Nathan Lambert 称 Claude 在专业领域过度回避问题

    Nathan Lambert 评论 Simon Taylor 关于 Meta Muse 回答风格的帖子，称这种风格“非常必要”。他表示，与 Claude 等模型讨论法律、医疗等领域的交叉问题时令人头疼，模型急于对冲风险、回避灰色地带，往往反而绕开了真正的问题。

    引用Simon Taylor · @sytaylor

    Meta's @Muse answers questions very differently from ChatGPT or Anthropic. It cites more sources but uses far fewer words and tables, and doesn't try to ask a follow-up. This short-form content is designed for dealing with tasks rather than continuing a conversation, and frankly, it's far less exhausting to read. This speaks to a really well designed AI experience and its so different from the base LLMs. Great study by the AirOps team 👇 gg @alexandr_wang

    #大佬观点#安全/对齐

  17. Nathan Lambert
    AI 评分26

    Nathan Lambert 评蒸馏禁令：未必损害美国竞争力

    针对 Archie Hall 与 kuhhbin 在《经济学人》撰文反对禁止部分基于美国模型训练的中国模型，Nathan Lambert 表示乐见更多机构探讨这些观点，并认为蒸馏对美国 AI 竞争力有害并非定论。

    引用Archie Hall · @ArchieHall

    In praise of distillation. We (@kuhhbin) argue in @TheEconomist this week against efforts to ban Chinese models trained in part on American ones. OpenAI and Anthropic may dislike distillation, but: — Price competition is good for the ecosystem — Paradoxically, distillation may be good for national security, both in propagating US developers' safeguards on cyber/bio risk to Chinese models, and in keeping China in fast-follower mode — The US developers' own IP claims here are pretty flimsy, since distillation isn't all that different to the 'fair use' defense they're using for the training data they hoover up. https://t.co/suRLpdoGUT

    #大佬观点#数据/训练

  19. @completeskeptic
    AI 评分18

    Diogo Almeida 用 Jev 并行做可视化解释

    Diogo Almeida 表示正在尝试用 Jev 的并行能力，为新颖模式制作可视化解释。他引用了 Allie the Icon 介绍的 Jev "逐行搜索"模式：把整份文档放进 state，再对每一行或每一段提问，适合找出与查询最相关的那一行；预期只有一个主导答案时用 nouls，想按整体相关性高亮各行时用 scores。

    引用Allie the Icon · @allietheicon

    One of my favorite Jev patterns is "line-by-line search", where you put an entire document in state, and ask a question for each line (or paragraph). This is super useful when you want to find the most relevant line for a query. Use nouls when you expect one dominate answer, use scores when you want to highlight lines by overall relevance. The former is good for answering a specific question while the latter is good for finding all relevant passages.

    #其他

  20. Manus一手
    AI 评分41

    Manus 称其搭建了 Bricklane 整家公司

    Manus 转发用户 Natalie 的帖子并强调：Manus 不只做了网站，还搭起了整家公司——交互式网站、3D 积木搭建、逐件搭建校验、Stripe、域名、邮箱、发布视频、社交帖子和广告。Natalie 称她用 Manus 把真实地点或孩子的画作做成定制 LEGO 套装，从域名到首单只用了 2 天。

    引用Natalie 🇸🇬 · @gr00vyfairy

    Manus is paying me to run my own startup 🧱 I turn real places, or ones from a kid's drawing, into custom LEGO sets. @ManusAI built the whole thing: site, 3D builds, brick checks, Stripe, domain, email, launch video. I just clicked verify! Domain to first order in 2 days 👇 https://t.co/USeF0APJ6T

    同一事件 · 6 条报道

    #产品更新#Agent#多模态