全部 AI 动态

🚀 DeepSeek-V4.1-Flash-1017 来了！ 与上一版本相比，基准测试表现更强、任务完成更快、输出更短——在性能与成本上实现了帕累托改进。现已在我们的网站、应用和 API 上线。 🛠️ 针对 @DeepSeekHarness、Tencent CodeBuddy、WorkBuddy 等进行了优化。升级到 DeepSeek Harness v0.2.1-rc.1 或更高版本，以获得新模型的最佳体验。 1/4

🚀 DeepSeek-V4.1-Flash-1017 来了！ 与上一版本相比，基准测试表现更强、任务完成更快、输出更短——在性能与成本上实现了帕累托改进。现已在我们的网站、应用和 API 上线。 🛠️ 针对 @DeepSeekHarness、Tencent CodeBuddy、WorkBuddy 等进行了优化。升级到 DeepSeek Harness v0.2.1-rc.1 或更高版本，以获得新模型的最佳体验。 1/4

Coming soon to fal: @Kling_ai 4.0. Generate up to 30 seconds of video in a single generation with native audio, using up to 15 references to guide your characters, scenes, and camera moves.

NVIDIA RTX Spark is here. Build AI locally, bring your creative ideas to life, and take your favorite games along. A new beginning for @Windows PCs starts today.

今天我们发布 Muse Spark Open，这是迄今为止能力最强的美国开放权重模型。 专为编程和智能体工作打造，它擅长长周期任务、复杂软件工程和多步推理。 关键模型规格： → 816B 总参数 / 42B 激活参数 → 1M token 上下文窗口 → 原生支持文本、图像、视频、音频多模态

Perplexity Decider v1.2 and Decider Flash v1.2 are now on OpenRouter @perplexity_ai's open-weights decision models take text or images and return typed answers with probabilities - Decider v1.2: a new 27B checkpoint, succeeding v1.1 - Decider Flash v1.2: 4B, faster and half the cost http://openrouter.ai/perplexity/pplx-decider-v1.2 http://openrouter.ai/perplexity/pplx-decider-flash-v1.2

Software maintenance is changing. A few months ago, I had to tell Codex exactly where to look for dead code. Now it can find candidates in Slack, check them against production telemetry, and draft cleanup PRs. Here’s how we do this at OpenAI. https://developers.openai.com/blog/maintaining-software-with-the-gpt-6-family

Span-02 is the cheapest decision model: $0.01/M input tokens. With thinking off, it delivers frontier-level decision-making at lowest latency. Need more? Give it a reasoning budget. Span-02 thinks until the deadline, then returns its best decision so far. Stop reasoning anytime. Or let Span-02 decide. In auto mode, an adaptive learned gate picks the reasoning budget for every decision. Fully open weights with a rust inference engine. 7× faster than vLLM.

Grok @bot now supports plus aliases! Send and receive email using dedicated aliases, or set up routines that only trigger for mail to a specific alias!

hey @bot please preorder the new Tesla Roadster for me immediately, thanks

A lot of you have been asking for @bot to be able to access your @chat messages and message requests to help manage busy inboxes. excited to share this is now live! I've had my @bot reviewing new message requests all week, approving them, and helping me stay on top of my inbox.

Our next generation of open weights multimodal decision models comes in two sizes, pplx-decider-v1.2 and pplx-decider-flash-v1.2. Text and vision scores improve. Inference is up to 5x faster: all questions in a request run in one pass. Flash is the top 4B on the Decision Index.

Introducing Span-02: anytime reasoning for decisions. Reasoning models make you pick an effort level and wait. Span-02 takes a deadline and always returns its best decision so far. It gets better the longer it thinks. With reasoning off, it beats Jev at 1/4 of the price, and runs at 1/3 the latency of decision models at its level. It can: - Answer with numbers and scores, not just probabilities and choices - See images and screens (multimodal) - Take a configurable reasoning time And it’s fully open weight!

Claude 编写了 Claude Code 约 90% 的代码。 从六月到九月，合并的 PR 数量翻了一倍多，而回退的占比下降了 40% 以上。 我们撰文介绍了我们如何改变代码审查来实现这一目标，以及如何采用它： https://claude.dev/blog/solving-code-review-at-anthropic/