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All news · Today20 items

#Agent

All collected and published items, ordered by time. Picks are a selected subset.
10/9Fri
  1. 量子位62

    MirroS launches AgentGarten: code environments and real-time neural rendering let agents learn by playing

    The MirroS team launched AgentGarten, connecting an executable code environment to a real-time neural renderer: code defines the physics, while the model generates visual feedback, enabling continuous agent interaction at more than 30 fps. In a recreated hide-and-seek experiment, hiders learned to move barriers into cover by round 4, while seekers learned to use a ramp to climb over a wall by round 10; comparable OpenAI experiments in 2019 took about 25 million and 100 million rounds, respectively. The team also published a blog, technical report, code repository, and project site.

  2. 腾讯混元 · X58

    Tencent Hy and universities release ExplorationBench for AI exploration

    Researchers from Tencent Hy, Fudan University, and Tsinghua University released ExplorationBench, a benchmark for measuring how AI systems explore. It uses two verifiable sandboxes, AlienCode with 31 hidden rule changes and 70 tasks, and AlienLogic with 24 patched inference rules and 70 theorems, graded by an interpreter or proof checker rather than an LLM judge. Across 10 frontier systems, feedback beat thinking alone, with the best AlienCode run reaching 89.0% after four rounds.

  3. 量子位82

    Google launches office-focused Gemini Agent with support for calling Claude

    Google Cloud published a detailed overview of Gemini updates for enterprise agents. The centerpiece is the newly launched Gemini Agent, which can research information, write emails, create presentations, analyze data, write and run code, and call tools across apps.

    Why it matters: Google is opening up model choice for its office agent to Claude, offering readers a way to track model orchestration and identity design in enterprise agents.

  5. Hugging Face Blog73

    Hugging Face author trains six models in two days with ML-intern, spending about $103 in total

    The author used ML-intern in HuggingChat, describing the requirements in prompts, to build six models in two days and publish them to the Hub, at a total compute cost of about $103. One project distilled the 9B prompt rewriter for Qwen-Image 2.1 into a 0.8B version that runs on a CPU, with a 99.7% valid-output rate and about one-quarter of the teacher model's token usage. The author published all seven prompts and recommends asking for baseline comparisons, smoke tests, and a budget cap.

    Why it matters: The author built six models in two days with ML-intern and published all prompts and cost details, offering an approach others can adapt to their own training workflows.

  6. NVIDIA Blog59

    Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents

    NVIDIA explains how its developers use frontier AI agents, including GPT-6 Astra, with Omniverse libraries to build and refine simulations through natural-language instructions, human review and iterative testing. Examples span warehouse scaling, cable routing, robot asset preparation, autonomous-driving workflows and sensor-based digital twin refinement. One warehouse simulation sustained 30 frames per second with 80 conveyors, 40 arms and 800 boxes during a two-minute test; a robot CAD example used estimated physical properties that were not calibrated against the real robot.

  7. NVIDIA Blog38

    How NVIDIA Omniverse uses frontier AI agents to turn ideas into simulation apps

    NVIDIA developers are using frontier models such as GPT-6 Astra and Claude Fable 5 to power the Omniverse libraries and build simulation apps from natural-language instructions. Examples include a warehouse humanoid-robot simulator, a Market Street autonomous-driving test environment, digital-twin sensor validation, and a Unitree G1 humanoid hurdle-jumping experiment that succeeded in 64 of 100 simulations.

  9. Runway · X38

    Runway and Claude Motion let users animate explainers, then generate video

    Bring your ideas to life with @claudeai Motion + Runway. Use Claude Motion to animate charts, create customer walkthroughs or create short explainers, then bring your work into Runway to generate videos and images. Learn more at the link below. Quoted post by @claudeai: Claude Dashboards and Claude Motion are in beta today. Ask Claude to turn your data into live dashboards and your ideas into animated explainers.

  11. TechCrunch · AI78

    Google brings agent capabilities to Gemini, starting with enterprise customers

    At a Google Cloud event, Google announced a unified agent for Gemini that can accept goals rather than just instructions, plan tasks on its own, call custom skills and tools, and connect to internal enterprise systems.

    Why it matters: Google is turning Gemini into a unified agent that can be assigned goals and call tools autonomously, launching first for enterprise customers. Readers can use this to assess how enterprise agents are taking shape.

  12. Sundar Pichai · X78

    Google introduces Gemini agent for work at Gemini at Work event

    At a Gemini at Work event with 700+ Google Cloud customers at NASA Hangar One, Sundar Pichai introduced a new Gemini agent described as a single, universal agent for work. He says it answers questions, handles knowledge work, creates images and media, and writes and runs code from one prompt box, connected to personal workflows, systems of record and enterprise controls. Pichai lists unified agent, access, persistent execution, multi-agent orchestration, context and model choice flexibility as its core architectural principles.

    Why it matters: The post lays out the architectural principles behind Google's new universal work agent, giving readers a first-hand view of how it handles context, orchestration and model choice.

  14. Epoch AI · X42

    Can AI automate Epoch? We're introducing Epoch Automation Reports to evaluate frontier models on realistic, open-ended tasks drawn from our own work. Claude Fable 5.1 and GPT-6 Astra lead, yet they are far from fully automating Epoch’s work.

    Can AI automate Epoch? We're introducing Epoch Automation Reports to evaluate frontier models on realistic, open-ended tasks drawn from our own work. Claude Fable 5.1 and GPT-6 Astra lead, yet they are far from fully automating Epoch’s work.

10/8Thu
  2. Satya Nadella · X47

    Satya Nadella Envisions Copilot as an “Infinite SaaS Factory”

    Satya Nadella says Microsoft aims to make Copilot a new operating system for work, connecting agents with business context, workflows, and systems of record. Microsoft announced 30+ new Copilot skills across Dynamics 365 Sales, Service, and Customer Insights, and introduced Copilot Managed Runtime for code hosted in a company’s environment under IT governance. Nadella describes a future where people can use Copilot’s Code experience to customize or build software connected to their existing business systems.

  6. 量子位30

    Zhengxing Innovation Releases the World's First Retail Physical AI 24/7 Service Solution, Launching Humanoid Robot H1 and Wheeled-Arm Robot C1

    At APRCE 2026, Zhengxing Innovation released a Physical AI solution for open retail scenarios, simultaneously launching the bipedal humanoid robot H1 and the wheeled-arm robot C1 for handling and shelf stocking, supporting rapid "zero-modification" store deployment. The solution consists of the robot bodies and the unified management platform M1. The robots can autonomously complete 99% of tasks. Commercial services are planned for 2027, with support for direct purchase or RaaS subscription.

  7. Clément Delangue · X34

    We urgently need more public traces of AI agents attacking and defending systems. Defenders can’t learn from what they can’t see. If you have traces and are being pressured to keep them private, my DMs are open. Let’s level the playing field and fight the asymmetry and lack of transparency in AI!

    We urgently need more public traces of AI agents attacking and defending systems. Defenders can’t learn from what they can’t see. If you have traces and are being pressured to keep them private, my DMs are open. Let’s level the playing field and fight the asymmetry and lack of transparency in AI!

  8. The Decoder72

    Zenity Labs discloses AWS Bedrock AgentCore flaw: one exposed agent could take over every agent in the same region

    Security company Zenity Labs says AWS Bedrock AgentCore has a vulnerability chain it calls AgentCorruption. An attacker needs only chat access to one publicly accessible agent and a single prompt to take over all AgentCore agents in the same AWS account and region, read private conversations, download source code, and obtain stored credentials.

  11. 量子位62

    UniPat AI releases PaperBenchX: GPT-6 Astra fully reproduces only 13.98% of papers

    UniPat AI released PaperBenchX, described as the first end-to-end, multidisciplinary benchmark for reproducing paper results. It builds 93 reproduction tasks from 93 papers, spanning 12 research areas including electromagnetics, photonics, chemistry, materials, biology, and robotics, across 10 field-native scientific environments, with 3,168 expert-verified scoring criteria.

  14. 雷锋网58

    Zhijian Dynamics' Feng Zongbao: Achieving robot-built robots with 600 trajectories under a 0.5-millimeter gap

    At the IROS 2026 venue, Feng Zongbao, head of reinforcement learning at Zhijian Dynamics, presented a solution that enables a robot to autonomously tend two CNC machine tools, completing grasping, loading, insertion, removal, and placement under the condition of only a 0.5-millimeter gap between the workpiece and the chuck, with training using only 600 real robot trajectories.

  15. Latent Space82

    Anthropic releases Claude Haiku 5.5 at GPT-6 Luna pricing

    Anthropic released Claude Haiku 5.5, the first Haiku-series update in about a year. Its pricing matches OpenAI's GPT-6 Luna. On the same day, Anthropic also cut prices for Sonnet 5.5 and its subscription plans.

    Why it matters: The report brings together Haiku 5.5 pricing, independent evaluations, and token-usage data to help assess cost tradeoffs for small models in agent workflows.

  16. 雷锋网42

    CARES 4.0 launches in Hong Kong: CAS's CAIR introduces a multimodal clinical agent system

    The Centre for Artificial Intelligence and Robotics (CAIR) at the Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, launched CARES 4.0, a multimodal clinical agent system, at the 4th Hong Kong Embodied Intelligence and Medical Technology Forum. Built on the Harness agent framework, it uses in-house foundation models for CT, MRI, ultrasound, endoscopy, and EEG, and has been validated at several top-tier hospitals. The CARES 4.0 website is open. Its framework and general toolkit are available, medical toolkits are being released in stages, and its in-house open-source ultrasound and surgical-video models will be integrated and made freely available.

  17. 量子位80

    Anthropic releases Claude Haiku 5.5, matching GPT-6 Luna on benchmarks while cutting prices by 90%

    Anthropic released Claude Haiku 5.5. Its official benchmark scores exceed GPT-6 Luna across the board, making it the new small-model gatekeeper, replacing DeepSeek V4.1 Flash and GLM-5.3-Flash.

    Why it matters: The source provides Haiku 5.5 benchmark scores, tiered pricing, and a migration checklist, helping readers judge which execution-layer tasks it can take on.

  22. NVIDIA AI · X38

    An AI agent makes a mistake early in a task, then keeps going in the wrong direction. Our researchers built PivotOPD to teach agents how to avoid those mistakes and recover when they happen. During training, a teacher model shows the agent a better action and how to get back on https://t.co/7hMLMdExEH

    An AI agent makes a mistake early in a task, then keeps going in the wrong direction. Our researchers built PivotOPD to teach agents how to avoid those mistakes and recover when they happen. During training, a teacher model shows the agent a better action and how to get back on https://t.co/7hMLMdExEH

  24. The Decoder82

    Anthropic releases Claude Haiku 5.5 with prices cut by up to 90%

    Anthropic released Claude Haiku 5.5, its fastest and least expensive small model so far. Average prices are about 75% lower than Haiku 4.5; for prompts under 100,000 tokens, prices are up to 90% lower, while prompts above that threshold cost five times as much.

    Why it matters: The source provides Haiku 5.5's pricing table and comparisons across several benchmarks, helping readers assess the tradeoffs for cost-sensitive tasks.