RADAR / WEEKLY

2026-W42

This week in AI: source excerpts and reading links, grouped by original publication week.

THIS WEEK AT A GLANCE

Signals
49
Topics
6
Sources
7

RULE-BASED DIGEST · Counts and source excerpts, not an authored weekly opinion.

TOP SIGNALS

Start with these signals

Ordered by available relevance score, then publication time.

  1. llm-echo 0.5 →COMMUNITY
  2. WorkBuddy Intl 更新支持 DeepSeek-V4.1-Flash-1017,10 月 31 日前免费 →AGGREGATOR
  3. Anthropic 如何在 Claude 写下 Claude Code 约 90% 代码后重新设计代码评审 →AGGREGATOR

WHAT CHANGED / SOURCE SIGNALS

MODELS

RADAR / SIGNAL · MODELS · COMMUNITY ·

SOURCE STATUS · COMMUNITY SIGNAL

Source publication:Collected here:

llm-echo 0.5 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Release: llm-echo 0.5 I'm working towards a new LLM release, and testing PRs caused me to revisit the llm-echo debug plugin. This plugin provides a "model" which doesn't involve…

Simon Willison · Source

RADAR / SIGNAL · MODELS · AGGREGATOR ·

SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Anthropic 如何在 Claude 写下 Claude Code 约 90% 代码后重新设计代码评审 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

作者解读 Anthropic 关于 Claude Code 代码评审重构的博客:Claude 写了约 90% 的代码,2026 年 6 月到 9 月合并 PR 翻倍以上而 revert 率下降超 40%。

AIHOT · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Anthropic 披露 Claude 编写了约 90% 的 Claude Code 代码 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Anthropic 的 ClaudeDevs 账号称 Claude 编写了约 90% 的 Claude Code 代码。6 月至 9 月间合并 PR 翻了一倍以上,回退比例下降超过 40%,团队发文介绍了为达到这一效果如何改造代码评审及采用方法,链接见 claude.dev/blog/solving-code-review-at-anthropic/。

AIHOT · Source

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SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

Chronoberg: A 250-Year Diachronic Corpus with Temporal Affective Lexicons for Language Model Analysis ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Large language models (LLMs) excel at operating at scale by leveraging social media and data crawled from the web. Whereas existing corpora are diverse, their frequent lack of l…

arXiv cs.CL · Source

RADAR / SIGNAL · MODELS · PAPER ·

SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

Diffeomorphic Hidden-State Steering: Improving Imitation Learning Policy Robustness through Expert Hidden-State Geometry ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Small observation or action errors can compound during closed-loop execution and disrupt a trained imitation learning policy. We study whether the original expert demonstrations…

arXiv cs.RO · Source

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SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

LIN-SLAM: Lightweight LiDAR--Inertial Neural SLAM for Real-Time Onboard Navigation ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Geometric light detection and ranging (LiDAR)--inertial simultaneous localization and mapping (SLAM) provides efficient state estimation but lacks the continuous map representat…

arXiv cs.RO · Source

RADAR / SIGNAL · MODELS · AGGREGATOR ·

SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Claude Opus 5.5 fast mode 结束研究预览并移除等待名单 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Anthropic 宣布 Claude 平台上的 Opus 5.5 fast mode 不再处于研究预览阶段,并已移除等待名单。该模式速度最高提升 2.5 倍,定价为 $8 / $40 per million tokens;现已登陆 Microsoft Foundry(Azure 托管),Google Cloud 即将支持。Claude Code 中的…

AIHOT · Source

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SOURCE STATUS · COMMUNITY SIGNAL

Source publication:Collected here:

Chirp Pong ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Tool: Chirp Pong Another game experiment - I wanted to see if it was feasible to have a two player game on two separate phones running in static HTML where the networking code u…

Simon Willison · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Microsoft AI 公布 MAI-Base-2 预训练细节,2.8T 参数 MoE 模型 FLOPs 效率达 DeepSeek-V4-Pro-Base 的 4.2 至 12.3 倍 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Microsoft AI 宣布完成 MAI-Base-2 预训练,这是一个 800 亿激活、2.8T 总参数的 MoE 基础模型,在 held-out 评测中 BPB 低于所测全部开源权重模型,预训练 FLOPs 效率比 DeepSeek-V4-Pro-Base 高 4.2 至 12.3 倍。

AIHOT · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

阶跃星辰开放 Step 5 Preview 权重 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

阶跃星辰(StepFun)宣布 Step 5 Preview 开放权重,BF16 和 FP8 权重已上线 Hugging Face 和 ModelScope,并附技术博客。

AIHOT · Source

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SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

LintEval: Benchmarking LLMs on Linter-Guided File Refactoring ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Linters are widely used in code maintenance and real-time IDE editing to surface lint alerts related to performance, style, error-prone, and other patterns in source files. Howe…

arXiv cs.CL · Source

RADAR / SIGNAL · MODELS · PAPER ·

SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

PersEvalBench: Can LLM Evaluators Judge Contextually Appropriate Use of Persona Information? ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Large language model (LLM) evaluators are increasingly used to assess personalized assistants, yet whether they can reliably judge personalization has rarely been tested. We int…

arXiv cs.CL · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Claude Code 空闲压缩从摘要继续,可用 idleCompaction 关闭并自定义阈值 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Claude Code 的空闲压缩会让 Claude 从摘要而非完整上下文继续。作者说明可在 settings. 中设置 "idleCompaction": false 关闭,并通过 CLAUDE_CODE_IDLE_COMPACT_MIN_TOKENS 自定义阈值,默认为 200k。

AIHOT · Source

RADAR / SIGNAL · MODELS · COMMUNITY ·

SOURCE STATUS · COMMUNITY SIGNAL

Source publication:Collected here:

Tree Appreciator ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Tool: Tree Appreciator Another game experiment with Claude. This one used the default Claude iPhone app (chat mode, not Claude Code mode), where I prompted Claude Opus 5.5 Max w…

Simon Willison · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Databricks 讲解如何在 AI Runtime 上将 Qwen 3.8 27B 微调时间缩短 6 倍 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Databricks 演示通过系统性性能优化,将 Qwen 3.8 27B 在 AI Runtime 上的微调时间从 7 小时 44 分钟降至 1 小时 17 分钟,提速 6 倍。

AIHOT · Source

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Source publication:Collected here:

PatTransBench: an ipc-stratified, multi-dimensional benchmark for patent machine translation evaluation ↗

SOURCE LANGUAGE

SOURCE EXCERPT

We present PatTransBench, a 12,000-item Chinese-English/Japanese/Korean patent machine translation (PatMT) benchmark with a four-dimensional evaluation protocol. The benchmark c…

arXiv cs.CL · Source

RADAR / SIGNAL · MODELS · AGGREGATOR ·

SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Xbow 用 GPT-5.6 挖出 Chrome 三个漏洞,获 Google 25 万美元全链奖励 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Xbow 工程师 Brendan Dolan-Gavitt 用 OpenAI 的 gpt-5.6-sol 分析 Chrome 源码,历时六天、花费约 4 万美元算力,找到三个独立漏洞组成漏洞链,使标签页内普通 JavaScript 代码穿越两个防护边界、逃出所有沙箱。

AIHOT · Source

RADAR / SIGNAL · MODELS · OFFICIAL ·

SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.

Google DeepMind · Source

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SOURCE STATUS · COMMUNITY SIGNAL

Source publication:Collected here:

llm-gemini 0.35 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscripti…

Simon Willison · Source

RADAR / SIGNAL · MODELS · COMMUNITY ·

SOURCE STATUS · COMMUNITY SIGNAL

Source publication:Collected here:

Hello Python 3.15, goodbye 3.10, and now I can use 3.11 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Python 3.15 is here ! Here's the essential What's new in Python 3.15 guide, this year curated by 3.14 and 3.15 release manager Hugo van Kemenade. As someone who builds open sour…

Simon Willison · Source

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Source publication:Collected here:

What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Supervised fine-tuning (SFT) remains a widely used approach for post-training large language models, because fixed demonstrations can directly introduce desired reasoning strate…

arXiv cs.CL · Source

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Source publication:Collected here:

VICAR: Video Imitation with Contact-Aware Retargeting for Humanoid Interactive Skills ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Third-person human videos offer a scalable alternative to task-specific reward engineering, teleoperation, and manually scripted demonstrations for humanoid loco-manipulation. R…

arXiv cs.RO · Source

WHAT CHANGED / SOURCE SIGNALS

AI-CODING

RADAR / SIGNAL · AI-CODING · AGGREGATOR ·

SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

WorkBuddy Intl 更新支持 DeepSeek-V4.1-Flash-1017,10 月 31 日前免费 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

WorkBuddy Intl 已更新至最新的 DeepSeek-V4.1-Flash-1017 模型,10 月 31 日前免费开放。引用的 DeepSeek 官方内容称该模型相比上一版性能更强、任务完成更快、输出更短,已上线网站、App 和 API,并针对 DeepSeek Harness、Tencent CodeBuddy、WorkBuddy 等做了优化。

AIHOT · Source

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SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Device-cloud speculative decoding reduces server computation, but growing a deep draft tree with a small language model (SLM) requires repeated passes on a mobile neural process…

arXiv cs.CL · Source

RADAR / SIGNAL · AI-CODING · OFFICIAL ·

SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

Benefit Street Partners answers questions faster with Codex ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Anant Kumar builds tools to compare loan valuations and analyze credit agreements, using Codex for code review and faster follow-ups.

OpenAI · Source

RADAR / SIGNAL · AI-CODING · AGGREGATOR ·

SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Gemini 4 Argon 在 ARC-AGI (Verified) 评测中公布:ARC-AGI-3 得分 97.5% ↗

SOURCE LANGUAGE

SOURCE EXCERPT

ARC Prize 公布 Gemini 4 Argon 在 ARC-AGI (Verified) 的评测成绩。ARC-AGI-3 上,provider adapter harness 得分 97.5%、成本 $4.8K,标准 harness 得分 49.8%、成本 $5.8K;ARC-AGI-2 得分 91.3%、$0.32/task;ARC-AGI-…

AIHOT · Source

RADAR / SIGNAL · AI-CODING · PAPER ·

SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

ANCHOR: Assessing Naturalistic Constraint Hierarchies and Ordering in Repository-Grounded Agentic Coding ↗

SOURCE LANGUAGE

SOURCE EXCERPT

For repository-grounded coding agents, a functionally correct patch is not necessarily an acceptable one: developers also constrain how the task must be carried out-modification…

arXiv cs.CL · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

Visual Studio Copilot 与 SSMS 远程代码执行漏洞(CVE-2026-103572)技术分析 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Johann Rehberger 披露 Visual Studio Copilot 与 SQL Server Management Studio 中的远程代码执行漏洞 CVE-2026-103572,根因是利用文件名末尾多加一个点绕过路径校验,写入 .mcp. 或 settings.VisualStudio. 等受保护配置文件,实现任意命令执行。

AIHOT · Source

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SOURCE STATUS · SINGLE SOURCE

Original announcement:Date unverifiedAggregator publication:Collected here:

用 Claude Opus 5.5、Blender、Unreal Engine 和 Meshy 构建游戏的七步教程 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

一篇教程介绍用 Claude Opus 5.5 配合 Claude Code、Blender、Unreal Engine 5 和 Meshy 构建游戏的方法。核心思路是给每个工具分配单一职责:通过 MCP 连接 Blender 和 Meshy,由 Meshy 生成道具和角色、Blender 清理和放置、Unreal 负责光照物理和游戏本身、Opus 在…

AIHOT · Source

WHAT CHANGED / SOURCE SIGNALS

AGENTS

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Source publication:Collected here:

Code, Test, and Deploy on One Machine with NVIDIA RTX Spark ↗

SOURCE LANGUAGE

SOURCE EXCERPT

AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As... AI agents are…

NVIDIA Technical Blog · Source

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Source publication:Collected here:

Auditing Escalation Reliability in Healthcare LLM Agents: A Perturbation-Controlled Benchmark of Workflow-State Failures ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Trustworthy biomedical AI requires reliable action selection when evidence is missing, stale, conflicting, or late, not only accurate answers on static inputs. We instantiate an…

arXiv cs.CL · Source

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Original announcement:Date unverifiedAggregator publication:Collected here:

Meta 开放权重模型 Muse Spark Open 上架 OpenRouter ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Meta 发布开放权重模型 Muse Spark Open,现已可在 OpenRouter 使用,定位为面向编码与智能体工作的美国最强开放权重模型。模型总参数 816B、激活 42B,支持 1M token 上下文窗口,原生多模态,OpenRouter 定价为输入 $1.25/M、输出 $4.25/M,正文提到支持图像、视频、音频和 PDF 输入。

AIHOT · Source

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Original announcement:Date unverifiedAggregator publication:Collected here:

Step 5 Preview 上线 FeatherlessAI,官方转发开放权重模型部署信息 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

阶跃星辰转发 FeatherlessAI 的消息,Step 5 Preview 已上线该平台,以 FP8 精度提供服务。该开放权重模型为 600B 稀疏 MoE 架构、每 token 激活 27B,面向长程智能体工作,在软件工程和专业知识工作(尤其金融)上有前沿级表现,按 Artificial Analysis 数据其每任务成本约为 Claude Op…

AIHOT · Source

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Source publication:Collected here:

Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym ↗

SOURCE LANGUAGE

SOURCE EXCERPT

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes... AI agents offer remarka…

NVIDIA Technical Blog · Source

RADAR / SIGNAL · AGENTS · OFFICIAL ·

SOURCE STATUS · SINGLE SOURCE

Source publication:Collected here:

Amp puts AI agents to work beyond code with OpenAI models ↗

SOURCE LANGUAGE

SOURCE EXCERPT

See how Amp pushes the frontier of what agents can do with GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.

OpenAI · Source

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Source publication:Collected here:

How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex... Enterprise applicati…

NVIDIA Technical Blog · Source

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Original announcement:Date unverifiedAggregator publication:Collected here:

LangChain 发布 langchain-scaledown 集成,用 ScaleDown 约束解码模型管理长时智能体上下文 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

LangChain 发布 langchain-scaledown 集成,并在 LangSmith LLM Gateway 中支持 ScaleDown 的约束解码模型(CDM),用于降低长时智能体上下文管理的成本和延迟。

AIHOT · Source

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Original announcement:Date unverifiedAggregator publication:Collected here:

Liquid AI 发布 LFM2.5-24B-A2B 端侧推理模型 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Liquid AI 发布开源权重模型 LFM2.5-24B-A2B,总参数 24B、每 token 激活 2B,定位端侧快速智能体。

AIHOT · Source

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Source publication:Collected here:

Let Large Language Models Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Objective: To enhance the accuracy, interpretability, and robustness of large language models (LLMs) in medical question answering (MedQA). Method: We designed a multi-agent pee…

arXiv cs.CL · Source

WHAT CHANGED / SOURCE SIGNALS

EMBODIED-AI

RADAR / SIGNAL · EMBODIED-AI · PAPER ·

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Source publication:Collected here:

De-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital Twins ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbit repair. Robotic welding…

arXiv cs.RO · Source

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Source publication:Collected here:

Safe Reinforcement Learning with Receding-Horizon Safety Critic and Differentiable Action Shields ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Despite the Markov assumption, safety failures in robot reinforcement learning rarely occur instantaneously; they typically emerge over several steps as the policy enters unfami…

arXiv cs.RO · Source

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TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks ↗

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SOURCE EXCERPT

Robot actions are inherently embodiment-specific and only weakly aligned with image-space visual changes, limiting their effectiveness as conditioning signals for robot world mo…

arXiv cs.RO · Source

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Trust-Calibrated VLA Policy Post-Training with Evolving Imagination ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Vision-Language-Action (VLA) models are often pretrained via imitation learning, making reinforcement learning (RL) post-training important when deployment moves beyond demonstr…

arXiv cs.RO · Source

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Source publication:Collected here:

DexStitch: Learning and Composing Dexterous Skills from Human Videos via Contact-Aware Robotic Inpainting ↗

SOURCE LANGUAGE

SOURCE EXCERPT

A long-horizon manipulation task consists of primitive skills and the transitions connecting them. Learning skills that can be executed in sequence requires supervision for both…

arXiv cs.RO · Source

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Source publication:Collected here:

SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes ↗

SOURCE LANGUAGE

SOURCE EXCERPT

Autonomous mobile robots must operate smoothly in human-populated indoor environments, where onboard-only sensing suffers from limited perception range and occlusions, and socia…

arXiv cs.RO · Source

WHAT CHANGED / SOURCE SIGNALS

INFRA

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Original announcement:Date unverifiedAggregator publication:Collected here:

vLLM 解析 Kimi K3 在 AMD Instinct MI355X 上的推理优化,单 GPU 吞吐超 NVIDIA HGX B300 24.4% ↗

SOURCE LANGUAGE

SOURCE EXCERPT

AMD 与 Embedded LLM 在 vLLM 官方博客详解 Kimi K3 在八卡 AMD Instinct MI355X 上的推理优化。

AIHOT · Source

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Original announcement:Date unverifiedAggregator publication:Collected here:

vLLM 实现 Reflection Beam 501B MoE 模型 Day 0 支持 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

vLLM 宣布从 Day 0 支持 Reflection 的 Beam 模型,这是一个 501B 参数、每 token 激活 23B 的 MoE 模型,在 NVIDIA Blackwell 上完成优化。

AIHOT · Source

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Original announcement:Date unverifiedAggregator publication:Collected here:

微软发布自研芯片 Maia 300 并将大规模扩展 Maia 推理部署 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

微软宣布明年起将 Maia 芯片家族扩展到多吉瓦级部署,作为自家产品和服务的首选推理系统,并发布 Maia 300,每瓦 token 产出比主流 GPU 系统高 40%。Maia 200 已在美国、欧洲和澳大利亚部署,在 Teams 和 Copilot 场景中每瓦 token 产出提升最高 1.7x。

AIHOT · Source

WHAT CHANGED / SOURCE SIGNALS

RESEARCH

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Original announcement:Date unverifiedAggregator publication:Collected here:

AWS 提出 priming 方法,可将预训练 Transformer 改造成混合状态空间架构 ↗

SOURCE LANGUAGE

SOURCE EXCERPT

AWS 团队发布论文《Priming: Hybrid state space models from pre-trained Transformers》,提出 priming 方法,复用预训练 Transformer 权重构建混合架构,将预训练成本降低逾 99%,全流程消耗不足源模型 0.5% 的 token 预算。

AIHOT · Source

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