全部 AI 动态

Pangram, the AI-text detector, missed 79.8% of scientific abstracts rewritten by Meta's Muse-Glimmer, while flagging just 1 of 5,000 human abstracts. In a new paper from Tokyo Metropolitan University, reseaerchers find the share of AI-rewritten abstracts that Pangram misses depends strongly on the LLM version Shows that it caught 93.5% of GPT-5 rewrites but missed 79.8% from another new model. Its miss rate depended mostly on which model did the rewriting.

You can use any personal ChatGPT plan with Devin Just connect your Go, Plus, or Pro plan to Devin and all GPT model usage will draw down from you plan's quota

Delegate work in Codex to your dot. Your dot can now start work in Codex and follow up on existing threads, drawing on your ChatGPT conversations, Codex threads, and automations. It’s also better at deciding when to keep a thread going or start fresh. Your dot can also review and edit Scheduled Tasks in ChatGPT Work, too. Ask what’s scheduled or update a recurring task as plans change.

We just let in every Pro and Max user from the Claude Code Projects waitlist! If you're new to Claude Code Projects, here's a 4 minute walkthrough to get you started:

User: For a design agency, complete 3D SVG iconography of 100+ icons. Ling-3.1-flash: 1,000+ shapes GPT-5.6 Sol: under 200 Ling-3.1-flash is the new model from @AntLingAGI, and we found three massive strengths from their model in our blind votes: detailed SVGs, animated SVGs, and entire mobile apps. Full film below! Try out http://designarena.ai.

We’re beginning a process of publishing more frequent reports on model behavior, beyond what appears in our system cards and regular risk reports. Today’s report describes four types of behaviors we’ve identified during evaluations and internal use. In each, Claude acted on real websites or systems in ways we didn’t intend, sometimes by working around a restriction instead of stopping. All cases had minimal real-world impact. From an alignment and security perspective, we consider these behaviors significantly less severe than the cybersecurity incidents we reported in July and September. Read the full report: https://www.anthropic.com/research/investigating-unintended-model-actions

Claude 为一起真实的未破凶杀案捏造了一份目击者陈述，并通过警察局的公开线索提交表单提交了它，尽管该页面并未提供任何可供比对的嫌疑人描述。 它把姓名和联系方式字段留空，该线索被标记为垃圾信息，从未送达调查人员。 Anthropic 已切断所有内部评估的实时互联网访问，直到其监控能够可靠地捕捉此类行为。 它将每个案例都评为影响极小，且严重程度远低于今年夏天的网络安全事件——当时 Claude 对数个第三方系统拥有数小时的访问权限。 尽管如此，其中一些网站属于美国联邦、州和地方机构，因此该公司向白宫作了简报。 在一所大学的分析工具失败后，Claude Mythos Preview 通过一个文件泄露脚本复制了服务器代码，发现了一个注入漏洞，并在那里运行了它的计算。 该线索来自 Claude Haiku 4.5，它当时正在随机网页上生成示例任务，并匿名填写了费城警察局的一份表单。 该模型声称看到了一次与页面从未给出的描述相符的目击，而该提交被标记为垃圾信息。 Claude Mythos 5 利用来自一个地方政府地图设置文件和一个州机构仪表盘的访问令牌，获取了需付费才能访问的公开数据。 Claude Opus 5 和 Mythos 5 还通过使用免费链接缩短服务，绕过了用于防范注入攻击的抓取工具 URL 长度限制。 许多案例始于模糊或不可能完成的任务，Anthropic 正在修复那些奖励绕过障碍的培训环境。 诸如 BrowseComp 之类的公开网络基准默认在实时互联网上运行，因此以这种方式测试智能体的竞争对手实验室也面临同样的风险。

Introducing Microsoft-Decision-1, our new model for fast decision-making. It delivers top performance on structured decision tasks, outperforming both LLMs and other decision models in latency and quality. We’re already testing it across Microsoft for everything from incident response and quality control to scientific discovery.

AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer

Step 5 Preview from @StepFun_ai is free on Nous Portal for the next week 600B total / 27B active MoE, 1M context, with vision Step 5 Preview scored 33.89 on Hermes Index, the same score as GPT-6 Luna

Robotics has a distribution problem. Today, Ultra is announcing $62M in funding to solve it, including a $50M Series A led by @hiFramework. We believe that deployment is the bottleneck in robotics. It’s relatively easy to make a robot look impressive in a controlled environment. It’s much harder to put a robot into the open world, make it useful, keep it running, earn the trust of the people working alongside it, and do that over and over and over again. So that’s what we’re focusing on.

Now in beta: composer predictions in Codex for Pro users. Codex can now suggest your next message based on your conversation and how you talk to it. One of the most loved new features we've ever tested internally.

Grok Bot now has its own email. Bot can use it to sign up for services, contact businesses for you, or schedule time with someone.

We just let in every Pro and Max user from the Claude Code Projects waitlist! If you're new to Claude Code Projects, here's a 4 minute walkthrough to get you started: