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Wednesday

  1. Leiphone

    LimX Dynamics' Open-Source FluxVLA Engine Update Connects the Entire Embodied Intelligence Pipeline from Data and Training to Evaluation and Deployment

    LimX Dynamics' open-source embodied intelligence engineering foundation FluxVLA Engine completed a major update on October 22. The technical report shows that it has incorporated heterogeneous policies such as OpenVLA, π0.5, DiT4DiT, and GR00T into a single pipeline for data, training, evaluation, and deployment. On the NVIDIA AGX Orin 64GB, GR00T's inference frequency increased from 3.2Hz to 7.4Hz, and π0.5 from 1.4Hz to 4.4Hz; together with RTC and a three-step trajectory post-processing mechanism, it connects to real-robot execution. In terms of online RL, SmolVLA's success rate on LIBERO-10 rose from 66.2% to 76.2%, and on 10 tasks in RoboTwin Clean from 45.9% to 61.3%.

    LimX Dynamics' open-source embodied intelligence engineering foundation FluxVLA Engine completed a major update on October 22. The technical report shows that it has incorporated heterogeneous policies such as OpenVLA, π0.5, DiT4DiT, and GR00T into a single pipeline for data, training, evaluation, and deployment. On the NVIDIA AGX Orin 64GB, GR00T's inference frequency increased from 3.2Hz to 7.4Hz, and π0.5 from 1.4Hz to 4.4Hz; together with RTC and a three-step trajectory post-processing mecha

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    #hot-signal#English text is being prepared.#Embodied AI#English text is being prepared.

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Friday

  1. Story1 reports · 1 facts

    Zhiyuan releases GO-3 Preview, AHA3 and G2 Max

    On October 29, 2026, Zhiyuan released its new-generation embodied intelligence foundation model GO-3 Preview, along with the AHA3 hardware platform and the industrial robot G2 Max. According to a report by Shangguan News, GO-3 Preview connects the entire process from training and simulation practice to continuous learning after taking up a post, ranking first in three tests: RoboDojo, RoboTwin, and RoboColiseum, and is planned to be fully open-sourced by the end of 2026; in a real-world convenience store scenario test, the Elf G2 robot's task success rate was 28.6% on the first day and rose to 85.7% after five days. QbitAI reported that Zhiyuan also released the omni-modal interaction large model WITA-OMNI and the embodied native operating system Lingqu OS at the same event, and proposed the unit Worken for measuring a robot's effective intelligent working hours. On October 30, Zhiyuan co-founder Yao Maoqing said in an interview with Securities Times that general large models have obvious shortcomings in physical robot operation, and that future systems will move toward a layered architecture; he mentioned that GO-3 Preview adopts the WRAM native architecture, and its zero-shot average success rate on 100 tasks across 20 skill categories increased from 13.4% to 56.4%.

    On October 29, 2026, Zhiyuan released its new-generation embodied intelligence foundation model GO-3 Preview, along with the AHA3 hardware platform and the industrial robot G2 Max. According to a report by Shangguan News, GO-3 Preview connects the entire process from training and simulation practice to continuous learning after taking up a post, ranking first in three tests: RoboDojo, RoboTwin, and RoboColiseum, and is planned to be fully open-sourced by the end of 2026; in a real-world convenie

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  2. Story1 reports · 1 facts

    XHEART (Xinxinhangtu) Releases Large-Model Chip X7 Ultra

    On October 30, 2026, XHEART Xinxin Hangtu released the X7 Ultra, a new-generation automotive-grade chip for billion-parameter-level autonomous driving large models, in Suzhou. The chip delivers 700 TOPS of large-model compute and adopts a super-core NPU architecture. According to the measured data of its mass-production autonomous driving models, the chip achieves a compute utilization rate of 98.7%; at equivalent model performance, memory bandwidth consumption is reduced by 80% and energy efficiency is improved by 100% compared with industry flagship products. The X7 series chips have shipped more than 200,000 units cumulatively in eight months of mass production, are equipped on 10 mass-production vehicle models, and have secured orders for more than 40 vehicle models; the next-generation X9 targets 3,000 TOPS of compute and 700 GB/s of per-chip memory bandwidth, aimed at L4 and embodied intelligence scenarios. On November 1, 2026, SAIC Motor announced that it will collaborate with XHEART Xinxin Hangtu on model adaptation and vehicle application integration around the 700 TOPS large-model compute chip X7 Ultra, and explore the layout of multi-thousand-TOPS-class chips for the next stage of autonomous driving.

    On October 30, 2026, XHEART Xinxin Hangtu released the X7 Ultra, a new-generation automotive-grade chip for billion-parameter-level autonomous driving large models, in Suzhou. The chip delivers 700 TOPS of large-model compute and adopts a super-core NPU architecture. According to the measured data of its mass-production autonomous driving models, the chip achieves a compute utilization rate of 98.7%; at equivalent model performance, memory bandwidth consumption is reduced by 80% and energy effic

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  3. Sina Tech

    Zhiyuan Unveils GO-3 Preview Foundation Model, Genie Master Framework, and Genie G2 Max Robot

    At the Embodied Work Productivity sub-forum of the 2026 Zhiyuan Innovation Day, Zhiyuan unveiled the embodied foundation model GO-3 Preview, the embodied Agent framework Genie Master, and the heavy-load embodied industrial robot Genie G2 Max. GO-3 Preview adopts the unified WRAM architecture for understanding, prediction, and action generation; on 100 tasks across 20 skill categories, its Zero-Shot average success rate rose from 13.4% to 56.4%, and in model-scale expansion experiments it rose from 56.2% to 73.2%; it has also topped the three major evaluation leaderboards RoboDojo, RoboTwin, and RoboColiseum. Co-President Yao Maoqing proposed three capability standards—measurable, replicable, and sustainable—and the event also presented data including a 98.3% success rate on a phone packaging task and the Genie G2's convenience-store task success rate rising from 28.6% on the first day to 85.7% by the fifth day.

    At the Embodied Work Productivity sub-forum of the 2026 Zhiyuan Innovation Day, Zhiyuan unveiled the embodied foundation model GO-3 Preview, the embodied Agent framework Genie Master, and the heavy-load embodied industrial robot Genie G2 Max. GO-3 Preview adopts the unified WRAM architecture for understanding, prediction, and action generation; on 100 tasks across 20 skill categories, its Zero-Shot average success rate rose from 13.4% to 56.4%, and in model-scale expansion experiments it rose fr

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    #chinese#Industry news#Embodied AI#Agents
  4. Phoenix Technology

    XHEART Releases Large-Model Chip X7 Ultra with 700 TOPS of Compute

    XHEART has released the X7 Ultra, a new-generation chip designed for billion-parameter-level smart-driving large models, with 700 TOPS of compute. The company says that in real-world tests using a partner's production Transformer smart-driving model, compute utilization reached 98.7%, and that while matching the model performance of industry flagship chips, memory bandwidth consumption dropped by 80% and inference energy efficiency improved by 100%. The X7 series has shipped a cumulative 200,000 units in 8 months of mass production, equipping 10 production vehicle models, with the first launch model being the SAIC Volkswagen ID.ERA 9X; at the same event, Momenta released the R7 Ultra world model, whose parameter count is 5 to 10 times higher than the previous generation.

    XHEART has released the X7 Ultra, a new-generation chip designed for billion-parameter-level smart-driving large models, with 700 TOPS of compute. The company says that in real-world tests using a partner's production Transformer smart-driving model, compute utilization reached 98.7%, and that while matching the model performance of industry flagship chips, memory bandwidth consumption dropped by 80% and inference energy efficiency improved by 100%. The X7 series has shipped a cumulative 200,000

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    #chinese#Product updates#English text is being prepared.#Reasoning

Thursday

  1. FactRelated story

    Zhiyuan releases GO-3 Preview, AHA3 and G2 Max

    On October 29, 2026, Zhiyuan released its new-generation embodied intelligence foundation model GO-3 Preview, along with the AHA3 hardware platform and the industrial robot G2 Max. According to a report by Shangguan News, GO-3 Preview connects the entire process from training and simulation practice to continuous learning after taking up a post, ranking first in three tests: RoboDojo, RoboTwin, and RoboColiseum, and is planned to be fully open-sourced by the end of 2026; in a real-world convenience store scenario test, the Elf G2 robot's task success rate was 28.6% on the first day and rose to 85.7% after five days. QbitAI reported that Zhiyuan also released the omni-modal interaction large model WITA-OMNI and the embodied native operating system Lingqu OS at the same event, and proposed the unit Worken for measuring a robot's effective intelligent working hours. On October 30, Zhiyuan co-founder Yao Maoqing said in an interview with Securities Times that general large models have obvious shortcomings in physical robot operation, and that future systems will move toward a layered architecture; he mentioned that GO-3 Preview adopts the WRAM native architecture, and its zero-shot average success rate on 100 tasks across 20 skill categories increased from 13.4% to 56.4%.

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    View story:Zhiyuan releases GO-3 Preview, AHA3 and G2 Max

Wednesday

  1. Story1 reports · 1 facts

    SenseTime Open-Sources SenseNova-RoboRSI Framework and 27B Embodied Model

    SenseTime has open-sourced the SenseNova-RoboRSI framework and a 27B embodied model, while also releasing an empirical study on embodied intelligence for GPT-6-Astra. The study covers 12 simulation benchmarks and 8 real robot platforms. Under a unified protocol (ICL plus up to 10x interaction budget), GPT-6-Astra achieved SOTA on all 12 benchmarks, with RoboDojo's success rate rising from 27.6% at 1x budget to 81.9% at 10x, and DexJoCo reaching 87.3%, compared with the previous SOTA of 40.3%. The study also notes that simple tasks such as putting a pen into a pen holder cost about $55 in inference, and that real robots overheat and wait too long; the conclusion is that GPT-6-Astra has essentially crossed the threshold of embodied capability, but practical-grade embodied intelligence has not yet arrived. The open-source framework packages each benchmark as an independent Docker image and provides environment interaction and scoring through a unified HTTP API; the 27B model raises the success rate on RoboCasa365 from 26.0% to 46.5%, reduces task token overhead by 73%, and costs about 1/50 of GPT-6-Astra per completed task.

    SenseTime has open-sourced the SenseNova-RoboRSI framework and a 27B embodied model, while also releasing an empirical study on embodied intelligence for GPT-6-Astra. The study covers 12 simulation benchmarks and 8 real robot platforms. Under a unified protocol (ICL plus up to 10x interaction budget), GPT-6-Astra achieved SOTA on all 12 benchmarks, with RoboDojo's success rate rising from 27.6% at 1x budget to 81.9% at 10x, and DexJoCo reaching 87.3%, compared with the previous SOTA of 40.3%. Th

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