全部 AI 动态

激动人心的消息：@AnthropicAI 的 Claude Sonnet 5.5 (Max) 在 Agent Arena 中首次亮相便位列第 3，净提升达 +12.5%！ 此次发布相比 Claude Sonnet 5 (High) 提升了 8.1 个百分点，后者以 +4.4% 的净提升位列第 13。按类别划分，Claude Sonnet 5.5 在 Chat 中夺得第 1 名（+15.6%），高于 Fable 5.1（+11.49%）和 Opus 5.5（+10.29%）。 这一表现伴随着更高的成本：Claude Sonnet 5.5 (Max) 的每任务中位成本为 $2.74，比排名第 2 的 Claude Opus 5.5 (High) 的 $1.58 高出约 73%。 @AnthropicAI 的模型如今占据了 Agent Arena 的前三名。恭喜团队！

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

隆重介绍小米 MiMo-V2.6 —— Pro 与 Flash。 前沿智能，全模态，公开构建。 🔹 两款全模态模型，通过规模化强化学习不断进阶 🔹 在大多数智能体基准测试中，Pro 的表现与 Claude Opus 5 和 GPT-5.6 Sol 不相上下 🔹 Pro 在 Artificial Analysis Intelligence Index 上得分 46 —— 为开源模型中的最高分 🔹 更强的编程、计算机操作、3D 推理与创作能力 🔹 开放模型权重、技术报告、RL 环境与训练代码 博客：https://mimo.xiaomi.com/mimo-v2-6

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

Claude Sonnet 5.5 (High) 由 @AnthropicAI 推出的真实世界结果出炉了。它刚刚以 1699 分在 Code Arena: WebDev 中排名第 #4，并凭借其成本效率重塑了帕累托前沿！ Claude Sonnet 5.5 (High) 以每百万 token 综合 $8 的价格提供了近乎顶尖的性能，重塑了帕累托前沿！该模型比总排名第 #3 的 Claude Fable 5.1 (Max) 和排名第 #2 的 GPT-6 Astra (Max) 都便宜 80%。 见下方帕累托位置。 总体而言，Claude Sonnet 5.5 (High) 相比排名第 #37、得分 1540 的 Sonnet 5 (High) 提升了 +159 分。与其前代变体相比的这一提升目前也体现在以下关键领域： - 基于参考的设计：#38 → #4 - 模拟：#37 → #4 - 游戏：#36 → #4 祝贺 @AnthropicAI 发布！

Microsoft AI has released MAI-Transcribe-2-Streaming, taking the #1 spot for Final Transcript accuracy and First Partial Transcript accuracy on AA-WER Streaming with 2.5% WER at 0.13s after end of speech MAI-Transcribe-2-Streaming is @MicrosoftAI's new streaming Speech to Text model, joining the non-streaming MAI-Transcribe-2. It leads streaming Final Transcript WER at 2.5%, ahead of the previous #1, SpaceXAI's Grok Voice Transcribe 2.0 at 2.7%, and returns that transcript in 0.13s rather than 0.49s. It is available for streaming transcription at $0.54 per hour of audio, at the higher end of pricing among the leading streaming models. Key takeaways ➤ Final Transcript: MAI-Transcribe-2-Streaming achieves 2.5% WER at 0.13s after end of speech, ranking #1 of 38 models. It is more accurate and faster than Grok Voice Transcribe 2.0 at 2.7% and 0.49s, Muse Voice Transcribe at 3.1% and 0.16s, and ElevenLabs Scribe v2 Realtime at 3.6% and 0.14s. It is also more accurate, though slightly slower, than Cartesia Ink Preview (external endpoints) at 3.1% and 0.11s ➤ First Partial Transcript: The model achieves 2.5% WER at 0.12s, ahead of Grok Voice Transcribe 2.0 at 3.4% and 0.49s, and ahead of Muse Voice Transcribe and ElevenLabs Scribe v2 Realtime on accuracy, both at 3.6%, and slightly faster than both at 0.12s versus 0.13s. It is more accurate but slower than Cartesia Ink-2 (external endpoints) at 4.0% and 0.07s ➤ Price: MAI-Transcribe-2-Streaming costs $0.54 per hour for streaming, or $9.00 per 1,000 minutes. This puts it level with Gemini 3.5 Transcribe Live at $9, above the $6.50 charged for ElevenLabs Scribe v2 Realtime and Deepgram Flux, more than twice Cartesia Ink-2 at $4, and three times Muse Voice Transcribe at $3. Non-streaming transcription costs $0.10 per hour, or $1.67 per 1,000 minutes Congrats to the @MicrosoftAI team on the launch! See more details below