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Nov 7Sat
  2. OpenRouter Blog62

    OpenRouter launches the new generation of Auto and Auto Code routers

    OpenRouter releases the new generation of Auto and Auto Code routers, performance improved 4 times, routing step speed increased 3 times (p90 0.65 seconds vs 1.96 seconds), Auto Code is optimized for coding, comparable to Claude Opus 5.5 in performance but cost reduced by 74%. The new router selects models by evaluating 11 request factors and combining real-time pricing, provider health status, and cache status, supporting any model set and governance strategy.

Nov 6Fri
  1. vLLM Blog72

    REINFORCE Zero: Aligned kernel allows asynchronous RL to train stably under lag 64.

    NVIDIA Research and Inferact's REINFORCE Zero proposes to first align rollout with training kernel, then use unclipped token-level importance sampling to correct weight lag, achieving a training step throughput 2.40 times that of synchronous training under 16 GPUs and 12K updates.

    Why it matters: The paper breaks down the gap between asynchronous RL's rollout and training into two items: weight lag and kernel inconsistency, and proposes an alignment-free, no-trimming importance sampling method after alignment.

  3. Hugging Face Daily Papers65

    EvoMemState: An evolving memory state framework for personal agents

    EvoMemState framework enhances persistent facts through relational and reasoning states, improving retrieval completeness and memory response accuracy in long-term dialogue and memory usage benchmarks. The framework includes three components: ontology-guided memory state induction, state evolution based on reinforcement learning, and state-aware reasoning.

  5. Hugging Face Blog58

    Hugging Face released ToyBlocks: A controlled world framework for robot learning and evaluation

    Hugging Face released ToyBlocks, a framework for robot learning and evaluation that provides a controlled simulation environment. The framework supports automatically generating tasks and training demonstrations, and includes metrics to measure changes in robot behavior over time, aiming to study how models improve with more training data and how to combine advanced reasoning with precise physical control.

  8. 36Kr · AI

    Midea's Whole-Home Intelligent Anchoring A2A: Home appliance interconnection is moving from 'interface docking' to 'Agent dialogue'

    Dr. Shang Zhe, General Manager of Midea's Whole-Home Intelligent, pointed out that the industry's bottleneck lies in heterogeneous device data silos, interaction effect gaps, and deployment barriers. Traditional API connection solutions are difficult to popularize due to the exponential increase in costs. Midea's self-developed family intelligence body MevoX achieves cross-brand collaboration by enabling AI Agents to directly communicate. It has completed vehicle-home integration with Chery iCAR, supports fuzzy intent reasoning and long-term memory, and has connected with ecological partners such as Huawei and BYD. As the first home appliance company to achieve A2A collaboration of family intelligence bodies, Midea is driving the industry to shift from hardware scale to Agent reasoning and cross-ecosystem collaboration efficiency competition.

  14. MarkTechPost71

    Thinking Machines has released the Inkling 2 Small: a MoE model with 594B total parameters and 17B activations.

    Thinking Machines Lab released the first model of the second-generation Inkling, Inkling 2 Small, a sparse MoE with 594B total parameters and 17B activation parameters, supporting text and image input and variable inference strength, with a context of 1M tokens.

    Same story · 2 outlets
  16. ITHome · AI55

    webAI's Open Source TwIL-8B Inference Model: Focused on Mathematics and Programming, Outperforms Gemma 4 31B in Long Board Performance

    webAI Launches TwIL-8B Inference Model, Optimized for Math and Code Tasks Based on IBM Granite-4.2-8B, Scores Better than Gemma 4 31B in MATH-500 and AIME 2025 Tests, Best in LiveCodeBench Group, IFBench on Par with Gemma 4 12B. Model Inference Capability Reaches 88~93% of Frontier Models, Reduces AI Usage Costs but Has Limited Knowledge Base.

    Same story · 2 outlets
  19. ITHome · AI

    Ricursive Intelligence releases Ripple-65B Preview, stating it has the best agent programming performance in the US open weight model.

    Ricursive Intelligence releases Ripple-65B Preview model, claiming it has the best agent programming performance in the US open weight model.

    Same story · 4 outlets
  22. Artificial Analysis Articles72

    Thinking Machines released Inkling 2 Small, Artificial Analysis Intelligence Index score 31

    Thinking Machines released Inkling 2 Small, scored 31 on the Artificial Analysis Intelligence Index v5.0.1, 18 points higher than Inkling Small, and the same as Gemini 3.8 Flash (high).

    Same story · 2 outlets
  23. ITHome · AI78

    Ant Group's Baidu Ling-3.2-flash releases a native multimodal model, with three benchmarks surpassing Claude Opus 5

    Ant Media official team releases native multimodal model Ling-3.2-flash, with a total of 560B parameters, 25B activation parameters, and 1M context window, supporting image, text, and video input.

    Why it matters: The original provides three benchmark comparisons and API pricing, allowing readers to judge the capability position and call cost of this multimodal model.

  26. ITHome · AI

    NVIDIA measured the Vera CPU, which is 60% more agents per watt than the fastest x86 CPU.

    NVIDIA announced the measured data of the Vera CPU on agent workloads, supporting 1.6 times the number of agents per watt, which is 60% more agents per watt than the fastest x86 CPU; Partners like Perplexity and DeepInfra tested showing that Vera running agent encoding tasks is 1.5 times faster than traditional CPUs, and agent orchestration tasks can be up to 2.2 times faster.

    Same story · 2 outlets
  30. Browser Use

    Claude Code v2.1.159 release

    Claude Code v2.1.159 released, supports 8k context window, performs excellently on SWE-bench Verified; Anthropic launches Browser Use open-source library, allowing AI agents to control browsers via Chrome DevTools Protocol, providing Browser Use Cloud and Browser Use Agents services.

  31. NVIDIA Newsroom58

    NVIDIA Vera released: Balancing maximum throughput and fastest agent performance.

    The NVIDIA Vera processor outperforms the fastest and most energy-efficient x86 CPUs in a 100 megawatt data center comparison, achieving industry-leading agent speed and boosting agent density by 1.6 times per watt. Early adopters like Perplexity and DeepInfra have validated 1.5x and 2.2x agent task acceleration in production testing.

    Same story · 2 outlets
  32. Hugging Face Daily Papers

    Halley: Predictive control plane for optical AI data center networks

    Halley framework enhances the effective throughput of optical networks in AI data centers through predictive failure and resource control, reducing capacity requirements, and featuring formal guarantees. It includes four components: LightReserve adjusts laser pool scale to provide coverage limits, FoldFit schedules switches within an 11/9 optimal value range, ThermaLead performs one-step advance control on micro-rings, and TriageGuard prioritizes protection for high-risk modules.

  35. Apple Machine Learning Research

    Apple's Amortizing Maximum Inner Product Search accelerates retrieval

    Apple's Amortizing Maximum Inner Product Search, presented at ICML 2026, learns support functions by training small neural networks to understand typical query matching patterns at a fixed cost, achieving faster precise retrieval during inference. This method utilizes ICNN to learn support functions, and KeyNet directly outputs the best matching key vector, both trained on supervised datasets constructed based on actual query distributions, significantly improving retrieval efficiency in RAG scenarios.