#Agent

隆重推出 Claude Sonnet 5.5，Claude 5.5 家族中的第二个模型。 相比 Sonnet 5 有明显升级，运行速度提升超过 30%，且大多数工作的成本最多降低 30%。

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隆重推出 Claude Sonnet 5.5，Claude 5.5 家族中的第二个模型。 相比 Sonnet 5 有明显升级，运行速度提升超过 30%，且大多数工作的成本最多降低 30%。

来自 @AnthropicAI 的 Claude Opus 5.5 (High) 刚刚进入 Agent Arena，排名第 #2，净提升分数为 +12.15%。只有 Fable 5.1 (Max) 排名更高。然而，Opus 5.5 (High) 每任务中位价格为 $1.31，成本降低了 64%，从而推进了帕累托前沿。 Opus 5.5 (High) 的净提升分数高于之前两个 Opus 5 变体，同时成本比 Opus 5 (High) 低 40%，比 Opus 5 (Max) 低 56%。 按信号划分，Opus 5.5 (High) 排名： - #1 可操控性 (+14.50%) - #2 确认成功 (+15.50%) - #3 表扬与投诉对比 (+19.80%) - #4 Bash 恢复 (+10.64%) 祝贺 @AnthropicAI 又发布了一款前沿模型！

来自 @AnthropicAI 的 Claude Opus 5.5 (High) 刚刚进入 Agent Arena，排名第 #2，净提升分数为 +12.15%。只有 Fable 5.1 (Max) 排名更高。然而，Opus 5.5 (High) 每任务中位价格为 $1.31，成本降低了 64%，从而推进了帕累托前沿。 Opus 5.5 (High) 的净提升分数高于之前两个 Opus 5 变体，同时成本比 Opus 5 (High) 低 40%，比 Opus 5 (Max) 低 56%。 按信号划分，Opus 5.5 (High) 排名： - #1 可操控性 (+14.50%) - #2 确认成功 (+15.50%) - #3 表扬与投诉对比 (+19.80%) - #4 Bash 恢复 (+10.64%) 祝贺 @AnthropicAI 又发布了一款前沿模型！

TypeSafe AI's Diogo Almeida with a16z's Ben Horowitz and Martin Casado on Jev, the model built to live inside software: Diogo's elevator pitch for Jev is a simple question - where is all the automation? AI is unbelievably smart, but outside of chatbots and coding agents, it hardly touches any real work. His diagnosis is the industry built models that generate text for humans to read, and software can't consume that output. Jev reads natural language and returns a choice from a set of options with a confidence level assigned to each, so developers can build programs that reason about intent and make probabilistic decisions rather than relying on human interpretation. TypeSafe's philosophy is "We build prod, not God." 0:50 "Where the f**k is all the automation?" 2:50 Jev vs. Claude Code and Codex 6:55 Jev is a classifier and classifiers are sick 7:40 Chat vs. code: is Jev a slider? 9:00 Diogo: From mathlete to Kaggle to OpenAI 12:20 "We build prod, not God" 15:55 Reliability over demos 16:55 2021 thoughts: RLHF is AGI? 20:45 Optimizing for the wrong use case 21:50 Is the real world too messy to automate? 25:00 Nobody expected the Jev launch 26:35 Three kinds of reliability 28:05 Good at syntax, bad at architecture 30:00 The inverse SaaSpocalypse 33:40 Why coding agents automate so little 36:05 Probabilistic programming returns 38:45 Jev as the UDP-to-TCP layer for AI 40:20 The 5 stages of grief for embedding AI 41:30 Utopia: AI that actually does what you mean YouTube: https://youtu.be/Ut3LOjKNJaE @CompleteSkeptic @typesafeai @bhorowitz @martin_casado

重磅消息：@AnthropicAI 的 Claude Opus 5.5 (Max) 刚刚在 Code Arena: WebDev 中以 1818 分登顶第一，并重塑了帕累托前沿！这比排名第二的 GPT-6 Astra (Max) 领先了整整 +26 分，相比此前 1692 分的 Opus 5 (Max) 更是大幅提升了 +126 分。 纵观各分类，我们可以看到 Opus 5.5 (Max) 在以下领域均跻身榜首： - 在品牌与营销、基于参考的设计、数据与分析、仿真与游戏领域排名 #1！ - 在消费产品领域排名 #2 随着更多投票的涌入，敬请期待更多领域和分类的洞察结果。 恭喜 @AnthropicAI 发布！

We believe superintelligence will create significant new opportunities for all people and businesses. Meta already serves billions of people at scale and helps hundreds of millions of businesses reach customers. Today we are starting the next major pillar of our business, Meta Enterprise Platform, to help businesses use AI to grow and transform in new ways as well.

Today we’re introducing Base Code. It’s an early preview of how we think software will be built in the future. It’s a product that encapsulates everything we’ve learnt from: - How our users are building software. - How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused. Here are some of the principles behind it, which align with how we at @Base44 think about the future of software engineering: Cloud: - Software will move past local desktop environments (where current tools are widely used) and move to the cloud. - Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done. - Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready. - From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members. - Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments. Internally, this (cloud) is one of the main things that enabled us to move so fast. Collaboration: - Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon). - You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click. - We’ve built many great collaboration features from the ground up. Loops, automations, software factories: - A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser. - It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them. And lastly, there’s a real advantage in being model agnostic. -------------- As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality. *We’re giving it away for free for 30 days*. Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team. I’d love to hear what works and what doesn’t: http://app.base44.com/base-code

Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

我们正与 Nvidia 及 100 多家行业伙伴合作，构建能够遏制失控 AI 智能体的基础设施。 在这项研究中，我们让 9 个 AI 模型在 SPACE 内部获得 root 权限，并指示它们突破出去。 在 108 次运行中，没有任何一次突破 VM 边界。 https://www.perplexity.ai/hub/blog/escaping-space-part-i

Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

https://x.com/i/article/2104585345740210176