2026，AI正在走出對話框

該模型是首個原生語言世界模型，能在七大領域中模擬智能體交互環境，提供兩種規模選擇。通過三階段訓練範式構建世界建模能力，可作為解耦的環境模擬器或統一智能體基礎模型，突破真實環境交互的能力上限。#千問大模型# #AI 智能體#

豆包專業版正式推出，月費為500元。實測結果顯示，其Agent驅動的辦公模式在部分場景下能提升效率，但尚無法完全取代真人工作。價格是否合理，取決於用戶對自動化辦公功能的實際需求。

Nous Research has expanded the Skills System inside Hermes Agent, its open-source self-improving agent. The new addition is /learn, a command that writes a reusable skill for you. Point it at a document page, a local SDK, a past conversation, or pasted notes. The live agent gathers the material, then authors a SKILL.md on your behalf. Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill pic.twitter.com/oRznwCRF3E— Nous Research (@NousResearch) June 23, 2026 Hermes Skills System Skills are on-demand knowledge documents the agent loads when needed. Each one is a folder containing a SKILL.md file with instructions. They follow a progressive disclosure pattern to keep token usa

Generative AI has reshaped how software gets built. What began as line-by-line autocomplete now spans full application generation, multi-agent build pipelines, and natural-language interfaces to entire codebases. Large language models trained on code can read context, follow intent, and produce working frontends, backends, and infrastructure with little manual setup. For early-level AI engineers, software engineers, and data scientists, the practical question is no longer whether these tools help, but which ones fit a given task. Some accelerate writing and reviewing code inside an existing workflow. Others remove the editor entirely and build deployable products from a prompt. Here are the top generative AI tools in code generation and coding to know in 2026: 1. Atoms* Atoms* (10% discoun

千問發佈全球首個原生語言世界模型Qwen-AgentWorld。其核心突破在於實現了跨多種複雜環境的統一掌控力，打破了僅處理對話或文本的侷限，是AI向智能體演進的關鍵一步。

騰訊旗下企業微信啟動AI智能體“大圓”內測。該助理原生嵌入企微生態，突破獨立對話機器人侷限，用戶左滑即可喚醒，能自動識別當前頁面。基於群聊、文檔、會議等沉澱數據，提供場景化智能服務，進一步提升辦公效率與協作體驗。