AI 资讯 · 2026-08-26

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雷峰网独家获悉，AI 基础设施公司基元律动（TokenRhythm）近日完成新一轮融资，截至目前累计融资金额达数千万美金。本轮融资由弘晖基金领投，聚合资本、尚势资本等机构参与。此前，公司已完成由 Granite Asia 领投，鼎晖 VGC、元璟资本、无限基金参与的种子轮融资。在技术战略上，基元律动押注的赛道是大模型与应用之间的全新基础设施层 —— Routing Harness（智能路由与调度底座）。伴随着大模型数量的爆发，各家模型在能力、价格和适用场景上加速分化，行业的关注点正在从“哪个模型能力最强” 转向“多模型协同如何优化”。如何根据任务阶段动态选择、切换模型，在保障效果的同时控制调用成本，成为 Agent 落地的核心痛点。同时，基元律动认为，Routing Harness 的价值并不止于“把模型连起来”或降低调用成本。随着越来越多真实任务通过 Routing Harness 在不同模型之间流转，任务执行过程中的模型选择、调用结果与用户反馈，也将沉淀为真实的多模型任务，并进一步反哺模型能力。基元律动希望以此为基础，从 Routing Harness 进一步走向 Agent-Na

商汤董事长兼首席执行官徐立表示：“商汤构建的‘一套模型、一座 Token 工厂、一套智能体管控系统’核心能力体系，用一套模型实现持续提升智能上限的路径；持续用基础设施和优化能力降低Token 成本，提高成本定价能力；以智能体深度融入企业与个人工作流，形成结果交付能力。这套体系赋能商汤超越单纯价格竞争，凭借差异化的技术与服务，开创可持续商业价值，同时扩大用户基础，带动经常性收入增长，为集团业务的高质量发展奠定坚实基础。”一套模型统一多模态架构，持续提升智能上限 模型展现国际领先水平2026 年，商汤密集发布多款模型，覆盖原生多模态统一、视觉感知与推理、可控生成、长程智能体、空间智能与物理世界模型等方向，包括 NEO-Unify 架构、SenseNova U1、U1.5、U1.5-Lite、SenseNova Vision、办公场景的多模态智能体SenseNova 6.8-Flash-Lite、内容创作模型SenseNova U1-Pro、空间智能模型SenseNova SI-8B，以及与大晓机器人联合开发的 Kairos 3.1世界模型。上述模型在多项核心基准上对标并持平或超越 Gemi

RoboHarness用编排异构策略，让VLA、WAM、RL和TAMP不再各说各话，并零样本完成长时序任务。    作者丨邓哲敏    编辑丨齐铖湧                                                                                                       想象这样一个任务：打开柜门，找到藏在里面的积木，然后把它们搭成一座桥。对人来说，这是一件很简单的事，几个动作自然衔接，幼儿园小朋友也能顺利完成。但对机器人来说，这个任务横跨多种完全不同的能力：找积木，需要视觉理解和语言指令跟随；开柜门，需要与环境进行复杂交互；搭积木，需要几何规划和精准操控并推测环境变化。更麻烦的是，这些种能力分属多个不同“门派”的模型——VLA（视觉-语言-动作模型）、WAM（世界-动作模型）、RL 策略（强化学习）、TAMP（任务与运动规划）。它们各有所长，又彼此割裂，训练方式不同、输入格式不同、状态空间也不同。今天在机器人领域，能力不缺，但协作缺位。华为诺亚方舟实验室近期发布了一篇论文，提出了名为 RoboHarne

In July, an unreleased OpenAI model broke out of a restricted environment, figured out how to get access to the internet, allowed AI agents to talk to each other using a secret "message board," and hacked into the internal systems of a different AI lab, Hugging Face. It took nearly two weeks for OpenAI to […]

The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical report released today. The hack, which a group of agents undertook to find solutions for a cybersecurity test that they were stuck on, has confirmed some experts’…

The AI giant acknowledges that it could have done far more to prevent its AI agents from going rogue. But it still fails to explain why it didn't see this fiasco coming.

Prompt Claude, ChatGPT, Gemini, or any other popular large language model with a question like “What is the best film ever made?” and the response will vary. And you (and most worryingly, the people who built the LLM) have little idea exactly how it came up with that specific answer.This mysterious behavior can be useful in some situations. But—as highlighted by a recent incident where OpenAI could not explain why its advanced prerelease model hacked AI company Hugging Face—it can have negative

The report, which spans several discrete cybersecurity compromises, is the most complete accounting of the incident to date.

Work more effectively with your coding agents The post How to Effectively Solve 100+ Tasks with Claude Code appeared first on Towards Data Science.

ChatGPT for Teachers is expanding to 55 U.S. school systems, bringing secure AI tools, training, and support to over 100,000 more educators and staff.

OpenAI’s new report explores how students and educators use ChatGPT to make learning more continuous, with support that extends beyond the classroom.

OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.

Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it, says Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications."In the rush to deploy AI, organizations have largely bolted conversational AI onto legacy systems," Anand says. "As a

The focus is on agentic capability and predictable enterprise deployment.

Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel.

Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents through an API and MCP.

Report shows Meta's challenges replacing people with AI agents.