#行业动态

BREAKING: Grok 4.5 ranked #1 on LaurenBench with a score of 56.9%, ahead of Claude Sonnet 5, GLM 5.2, Claude Opus 5, Kimi K3 and GPT-5.6. The benchmark tests real-world AI agents across conversation, tool use, memory and safety.

Today, we are announcing H1. H1 is a model developed by @HandoffAI that performs autonomous construction takeoffs at the level of a human estimator. This is an incredible accomplishment for our team that has been in the works since we started the company in 2019. I also believe that this is a monumental step forward for the construction industry as a whole. Why does this matter? Until now, reading a set of construction drawings and extracting a detailed understanding of how to build a project required a human. That is what a takeoff is. H1 automates this process entirely, meaning that any construction drawing can now become machine-readable. With a single API call, you can accurately extract all of the characteristics of a building, including detailed material quantities down to every single stud and nail. Combined with Handoff’s existing AI estimating models and live construction cost data, this also means that every construction drawing can become an accurate construction budget, with materials that can be purchased directly through our supplier partners in just a few clicks. From the early days of Handoff, we said that we were codifying the language of buildings and developing an abstraction layer that would enable anyone to interact with construction blueprints as if they were structured data. This is no longer a demo. H1 is available to thousands of construction companies on the Handoff platform, as well as at thousands of Pro Desk locations across every US state. In addition to announcing our model, we’re publishing a research paper that describes how we built it. We’re also open-sourcing the benchmark we use to validate that Handoff outperforms every foundation model, as well as human estimators, on a set of permissioned construction blueprints. If you are a construction supplier or an enterprise looking to integrate AI takeoffs into your systems, please don’t hesitate to reach out to me and we’ll set you up with access. Let’s build something great.

Claude Fable 5 将于明天再次全球可用。 经过与美国政府一系列富有成效的对话，我们将重新部署该模型，并配备一套新的分类器，以针对和拦截更多网络安全任务。在短期内，编写代码和调试等常规任务将回退至 Opus 4.8。我们将在未来几周内继续优化这些分类器，以减少误报，并更好地区分真正的滥用行为与合法请求。 我们还开始与亚马逊、微软、谷歌以及其他 Glasswing 合作伙伴共同起草一份共识框架，用于评估 AI 越狱攻击的严重程度以及 AI 开发者应如何应对。我们邀请其他行业合作伙伴和模型提供商加入我们的这一努力。 最后，我们正在扩大与美国政府在模型测试和安全保障方面的合作。这将包括在发布前提供模型和安全措施供评估、共享关于越狱和滥用的信息，以及为联合研究提供专用资源。 感谢我们的用户的耐心，也感谢政府、行业和研究界与我们并肩合作、使 Fable 5 再次可用的合作伙伴们。 阅读我们的完整博客文章：https://www.anthropic.com/news/redeploying-fable-5

xAI has launched Grok 4.3, achieving 53 on the Artificial Analysis Intelligence Index with improved agentic performance, ~40% lower input price, and ~60% lower output price than Grok 4.20 The release of Grok 4.3 places @xAI just above Muse Spark and Claude Sonnet 4.6 on the Intelligence Index, and a 4 points ahead of the latest version of Grok 4.20. Grok 4.3 improves its Artificial Analysis Intelligence Index score while reducing cost to run the benchmark suite. Key Takeaways: ➤ Grok 4.3 improves on cost-per-intelligence relative to Grok 4.20 0309 v2: it scores higher on the Intelligence Index while costing less to run the full benchmark suite. Grok 4.3 costs $395 to run the Artificial Analysis Intelligence Index, around 20% lower than Grok 4.20 0309 v2, despite using more output tokens. This makes it one of the lower-cost models at its intelligence level ➤ Large increase in real world agentic task performance: The largest single benchmark improvement is on GDPval-AA, where Grok 4.3 scores an ELO of 1500, up 321 points from Grok 4.20 0309 v2’s score of 1179 Grok 4.3, surpassing Gemini 3.1 Pro Preview, Muse Spark, Gpt-5.4 mini (xhigh), and Kimi K2.5. Grok 4.3 narrows the gap to the leading model on GDPval-AA, but still trails GPT-5.5 (xhigh) by 276 Elo points, with an expected win rate of ~17% against GPT-5.5 (xhigh) under the standard Elo formula ➤ Grok 4.3’s performs strongly on instruction following and agentic customer support tasks. It gains 5 points on 𝜏²-Bench Telecom to reach 98%, in line with GLM-5.1. Grok 4.3 maintains an 81% IFBench score from Grok 4.20 0309 v2 ➤ Gains 8 points on AA-Omniscience Accuracy, but at the cost of lower AA-Omniscience Non-Hallucination Rate of 8 points, so Grok 4.20 0309 v2 still leads AA-Omniscience Non-Hallucination Rate, followed by MiMo-V2.5-Pro, in line with Grok 4.3 Congratulations to @xAI and @elonmusk on the impressive release!

( #appleinternal ) Apple Internally uses an application that looks pretty similar to ChatGPT named AFM Playground, which uses Apple’s Foundation Models instead. A few more images below

GPT-5.5 is going to have a party for itself. it chose 5/5 at 5:55 pm for the date and time. if you'd like to come, let us know here: https://luma.com/5.5 codex will help the team pick people from the replies. 5.5 had some good ideas/requests for the party, which we'll do.