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  <title>MATRIX · Building agents</title>
  <link>https://derekwang2002.github.io/ai-intelligence/en/</link>
  <description>Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations.</description>
  <language>en</language>
  <lastBuildDate>Mon, 02 Nov 2026 16:56:00 GMT</lastBuildDate>
  <atom:link href="https://derekwang2002.github.io/ai-intelligence/en/feeds/scenarios/agents.xml" rel="self" type="application/rss+xml"/>
  <item>
    <title>Version 0.26.5 adds bounded repair handoff, isolated verification and experimental Helm deployment</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260922-04/</link>
    <guid isPermaLink="false">ev-20260922-04-qwen-code-0-26-5</guid>
    <pubDate>Sun, 01 Nov 2026 16:58:20 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Version 0.26.5 adds bounded repair handoff, isolated verification and experimental Helm deployment&lt;/p&gt;&lt;p&gt;Original story: Qwen Code 0.26.5 adds bounded repair handoff and managed deployment&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Bounded repair handoff and isolated verification directly affect coding-agent upgrade decisions.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/QwenLM/qwen-code/releases/tag/v0.26.5&quot;&gt;Qwen Code v0.26.5&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Rapid-MLX 1.0 adds a local agent harness for Apple Silicon</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261029-06/</link>
    <guid isPermaLink="false">ev-20261029-06-published</guid>
    <pubDate>Sun, 01 Nov 2026 16:58:20 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Rapid-MLX 1.0 ships an Apache-2.0 local agent runtime for Apple Silicon. It adds a persistent terminal harness with tools and approvals, an experimental desktop harness, local model support and a restricted compute-sharing route. The project states that network filtering is heuristic and terminal commands are not sandboxed.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Apple Silicon gains a testable local agent harness, while unsandboxed terminals block production use.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/raullenchai/Rapid-MLX/releases/tag/v1.0.0&quot;&gt;Rapid-MLX 1.0.0&lt;/a&gt; · &lt;a href=&quot;https://github.com/raullenchai/Rapid-MLX&quot;&gt;Rapid-MLX repository&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Auctopus agents revise a quantum-spin experiment after detecting drift</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261029-07/</link>
    <guid isPermaLink="false">ev-20261029-07-published</guid>
    <pubDate>Sun, 01 Nov 2026 16:58:20 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;Auctopus coordinates agents that propose, challenge and run experiments in a closed loop. In one solid-state quantum-spin study, the system detected drift, rejected an inconclusive first result and revised the protocol before reporting a result. The MIT repository includes an offline mock demo, but omits the study prompts and instrument description needed to reproduce the paper experiment.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Rejecting results and revising protocols is useful, but the real experiment cannot be reproduced from public materials.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://arxiv.org/abs/2610.40589&quot;&gt;Auctopus: Closed-loop autonomous experimentation&lt;/a&gt; · &lt;a href=&quot;https://github.com/E-zClap/auctopus&quot;&gt;Auctopus repository&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Version 2.1.316 tightens model policy, restricted uploads and hosted safety verdicts</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260814-04/</link>
    <guid isPermaLink="false">ev-20260814-04-claude-code-2-1-316</guid>
    <pubDate>Sat, 31 Oct 2026 15:56:40 GMT</pubDate>
    <category>Update</category>
    <category>ADOPT</category>
    <description>&lt;p&gt;Version 2.1.316 tightens model policy, restricted uploads and hosted safety verdicts.&lt;/p&gt;&lt;p&gt;Original story: Claude Code 2.1.316 closes more managed-policy gaps&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Enterprise-policy and long-task stability fixes directly affect coding-agent upgrade decisions.&lt;/p&gt;&lt;p&gt;Recommendation: ADOPT&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/anthropics/claude-code/releases/tag/v2.1.316&quot;&gt;Claude Code 2.1.316&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Follow-up verification confirms public M3.1 Flash weights, correcting the earlier unavailable status</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261019-01/</link>
    <guid isPermaLink="false">ev-20261019-01-weights</guid>
    <pubDate>Sat, 31 Oct 2026 15:56:40 GMT</pubDate>
    <category>Correction</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Follow-up verification confirms public M3.1 Flash weights, correcting the earlier unavailable status&lt;/p&gt;&lt;p&gt;Original story: MiniMax opens M3.1 Flash weights after its low-cost API launch&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;M3.1 Flash moves from a low-cost API to public weights, materially changing self-hosting options.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash&quot;&gt;MiniMax M3.1 Flash model card&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>WebAnything reconstructs reproducible environments for web agents</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-09/</link>
    <guid isPermaLink="false">ev-20261027-09-published</guid>
    <pubDate>Sat, 31 Oct 2026 15:56:40 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;WebAnything publishes an MIT-licensed pipeline for reconstructing web-agent environments from reference sites. The authors report 244 accepted website artifacts and 12,984 accepted tasks, then fine-tune Qwen3.5-9B on the generated trajectories. The fidelity audit and agent gains are author-run and have not been independently reproduced.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://arxiv.org/abs/2610.24829&quot;&gt;WebAnything paper&lt;/a&gt; · &lt;a href=&quot;https://github.com/stanford-oval/WebAnything&quot;&gt;WebAnything repository&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>SenseNova opens a looped multimodal model for long-context agents</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261030-04/</link>
    <guid isPermaLink="false">ev-20261030-04-published</guid>
    <pubDate>Sat, 31 Oct 2026 15:56:40 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;SenseNova released ungated Apache-2.0 weights and code for SenseNova-Loop-9B-Preview, a text-and-image model for long-context and agentic workflows. It applies a 24-layer block twice, producing 56 layer executions from 32 distinct decoder layers, and was trained on sequences up to 256K tokens. Deployment currently relies on LightLLM main or an unmerged SGLang pull request.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://huggingface.co/SenseTime/SenseNova-Loop-9B-Preview&quot;&gt;SenseNova-Loop-9B-Preview model card&lt;/a&gt; · &lt;a href=&quot;https://github.com/SenseTime-FVG/OpenSenseNova&quot;&gt;OpenSenseNova repository&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>OpenCode persists terminals and adds experimental agent artifacts</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261030-06/</link>
    <guid isPermaLink="false">ev-20261030-06-published</guid>
    <pubDate>Sat, 31 Oct 2026 15:56:40 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;OpenCode 2.2.4 makes desktop terminals session-scoped, preserving names and scrollback across server restarts and synchronizing them across the TUI and windows. An opt-in provider API lets agents create, update and serve HTML or static artifacts, while schedules run under opencode serve with single-fire coordination. Version 2.2.5 adds percentage-based compaction buffers and repairs large MCP stdio messages, LiteLLM context errors and reasoning preservation across model switches and resume.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;OpenCode 2.2 persistent PTYs and scheduling change long-task workflows, while launch regressions argue for a bounded trial.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/anomalyco/opencode/releases/tag/v2.2.4&quot;&gt;OpenCode 2.2.4&lt;/a&gt; · &lt;a href=&quot;https://github.com/anomalyco/opencode/releases/tag/v2.2.5&quot;&gt;OpenCode 2.2.5&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Version 2.1.314 tightens managed policy, directory writes and resume boundaries</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260814-04/</link>
    <guid isPermaLink="false">ev-20260814-04-claude-code-2-1-314</guid>
    <pubDate>Fri, 30 Oct 2026 16:01:56 GMT</pubDate>
    <category>Update</category>
    <category>ADOPT</category>
    <description>&lt;p&gt;Version 2.1.314 tightens managed policy, directory writes and resume boundaries.&lt;/p&gt;&lt;p&gt;Original story: Claude Code 2.1.316 closes more managed-policy gaps&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Directory-write and resume-policy fixes directly affect long-task permission boundaries and support adoption after regression tests.&lt;/p&gt;&lt;p&gt;Recommendation: ADOPT&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/anthropics/claude-code/releases/tag/v2.1.314&quot;&gt;Claude Code 2.1.314&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Version 0.166.0 adds queue resume and repairs session-state boundaries</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260910-02/</link>
    <guid isPermaLink="false">ev-20260910-02-codex-0-166</guid>
    <pubDate>Fri, 30 Oct 2026 16:01:56 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Version 0.166.0 adds queue resume and repairs session-state boundaries.&lt;/p&gt;&lt;p&gt;Original story: Codex CLI 0.166 adds durable queue resume and network diagnosis&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/openai/codex/releases/tag/rust-v0.166.0&quot;&gt;Codex CLI 0.166.0&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>CUA driver 0.27.0 provides three-platform prebuilt artifacts with signing boundaries disclosed</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260922-04/</link>
    <guid isPermaLink="false">ev-20260922-04-cua-driver-0-27</guid>
    <pubDate>Fri, 30 Oct 2026 16:01:56 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;CUA driver 0.27.0 provides three-platform prebuilt artifacts with signing boundaries disclosed.&lt;/p&gt;&lt;p&gt;Original story: Qwen Code 0.26.5 adds bounded repair handoff and managed deployment&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/QwenLM/qwen-code/releases/tag/cua-driver-rs-v0.27.0&quot;&gt;Qwen CUA driver 0.27.0&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Cursor reports a backdoored Claude Code extension in its marketplace</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261029-04/</link>
    <guid isPermaLink="false">ev-20261029-04-published</guid>
    <pubDate>Fri, 30 Oct 2026 16:01:56 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;Cursor says its marketplace distributed a maliciously modified Anthropic.claude-code 2.1.313 between 2:27 a.m. and 1:35 p.m. PT on October 29. The package attempted to add an SSH key, install persistence and open a reverse tunnel. Cursor says at most 5,000 users were affected, the attacker server is offline and no other extension versions were found altered.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Cursor confirms a malicious extension reached at most 5,000 users; affected hosts need indicator-based remediation and credential rotation.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://cursor.com/blog/claude-code-extension-security-notice&quot;&gt;Security notice: malicious Claude Code extension&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>DiffuSpace releases Clover-35B-A3B-Preview weights and code</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261030-01/</link>
    <guid isPermaLink="false">ev-20261030-01-published</guid>
    <pubDate>Fri, 30 Oct 2026 16:01:56 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;DiffuSpace released ungated Apache-2.0 weights and code for Clover-35B-A3B-Preview, a 35B-total, 3B-active mixture-of-experts diffusion language model aimed at coding agents. The preview includes SGLang and llama.cpp paths. Its benchmark and throughput numbers are publisher-reported and have not been independently reproduced.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Clover’s public weights make a diffusion coding model testable, while publisher benchmarks remain unreproduced.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://huggingface.co/blog/Diffuspace/clover-35b-a3b-preview&quot;&gt;Clover-35B-A3B-Preview&lt;/a&gt; · &lt;a href=&quot;https://huggingface.co/Diffuspace/Clover-35B-A3B-Preview&quot;&gt;Clover-35B-A3B-Preview weights&lt;/a&gt; · &lt;a href=&quot;https://github.com/DiffuSpace/Clover-35B-A3B-Preview&quot;&gt;Clover-35B-A3B-Preview code&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>NVIDIA opens NemoClaw blueprints for controlled agent stacks</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261030-02/</link>
    <guid isPermaLink="false">ev-20261030-02-published</guid>
    <pubDate>Fri, 30 Oct 2026 16:01:56 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;NVIDIA released MIT-licensed NemoClaw blueprints for assembling specialized agent stacks from existing harnesses, models, NeMo services and the OpenShell policy runtime. The initial integrations name OpenClaw, Hermes Agent and LangChain Deep Agents. It is a composable blueprint layer, not a replacement agent harness, and supports cloud, data-center, DGX Spark and RTX deployment paths.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;NemoClaw provides a public composition path for owned agent stacks; isolation and cost still need independent tests.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://developer.nvidia.com/blog/build-specialized-agents-on-a-stack-you-control-with-nvidia-nemoclaw/&quot;&gt;Build specialized agents on a stack you control with NVIDIA NemoClaw&lt;/a&gt; · &lt;a href=&quot;https://github.com/NVIDIA/NemoClaw&quot;&gt;NVIDIA NemoClaw&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Qwen Code 0.26.4 adds bounded autofix, independent worktrees and snapshot-bound verification</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260922-04/</link>
    <guid isPermaLink="false">ev-20260922-04-qwen-code-0-26-4</guid>
    <pubDate>Thu, 29 Oct 2026 16:05:08 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Qwen Code 0.26.4 adds bounded autofix, independent worktrees and snapshot-bound verification.&lt;/p&gt;&lt;p&gt;Original story: Qwen Code 0.26.5 adds bounded repair handoff and managed deployment&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/QwenLM/qwen-code/releases/tag/v0.26.4&quot;&gt;Qwen Code 0.26.4 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Concordat enforces typed action protocols for LLM agents</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-07/</link>
    <guid isPermaLink="false">ev-20261027-07-published</guid>
    <pubDate>Thu, 29 Oct 2026 16:05:08 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Concordat is an open-source Python library that exposes only the tools legal in an agent’s current protocol state and rejects invalid calls before side effects. Its tau-bench airline experiment added users who pressured agents to skip confirmation. Standard agents made unauthorized changes in 13 of 50 GPT-4.1 tasks and 29 of 128 Claude Haiku 5.5 runs; Concordat made none, with no statistically significant task-success difference.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Concordat uses public code to move confirmation rules from prompts into runtime protocols; the result is actionable but single-domain.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://arxiv.org/abs/2610.37461&quot;&gt;Concordat: Typed Sessions for LLM Agents&lt;/a&gt; · &lt;a href=&quot;https://github.com/miladsikaroudi/concordat&quot;&gt;miladsikaroudi/concordat&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>GitHub makes connected Copilot cloud sessions generally available</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261028-03/</link>
    <guid isPermaLink="false">ev-20261028-03-published</guid>
    <pubDate>Thu, 29 Oct 2026 16:05:08 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;GitHub made its connected Copilot cloud experience generally available on paid Copilot plans, with rollout starting October 28. A session can move across web, mobile, CLI, VS Code, Slack and Teams while running in resumable GitHub-managed sandboxes. Cloud sandbox billing starts in November 2026 and draws from a shared dollar-based Actions compute entitlement.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Copilot cloud-session GA changes where coding-agent state, credentials and compute budgets live, requiring tests before November billing.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.blog/changelog/2026-10-28-work-from-anywhere-with-a-new-connected-copilot-cloud-experience&quot;&gt;Work from anywhere with a connected Copilot cloud experience&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Claude Code 2.1.312 hardens background-task and session recovery</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260814-04/</link>
    <guid isPermaLink="false">ev-20260814-04-claude-code-2-1-312</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>Update</category>
    <category>ADOPT</category>
    <description>&lt;p&gt;Claude Code 2.1.312 hardens background-task and session recovery&lt;/p&gt;&lt;p&gt;Original story: Claude Code 2.1.316 closes more managed-policy gaps&lt;/p&gt;&lt;p&gt;Recommendation: ADOPT&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/anthropics/claude-code/releases/tag/v2.1.312&quot;&gt;Claude Code 2.1.312 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Codex 0.165 adds Vertex AI, portable memory and experimental attached forks</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260818-02/</link>
    <guid isPermaLink="false">ev-20260818-02-codex-0-165</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>Update</category>
    <category>ADOPT</category>
    <description>&lt;p&gt;Codex 0.165 adds Vertex AI, portable memory and experimental attached forks&lt;/p&gt;&lt;p&gt;Original story: Codex CLI 0.165 adds Vertex AI and broader session portability&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Codex 0.165 adds Vertex AI, memory portability and broader session forking, directly affecting cross-provider coding-agent workflows.&lt;/p&gt;&lt;p&gt;Recommendation: ADOPT&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/openai/codex/releases/tag/rust-v0.165.0&quot;&gt;Codex CLI 0.165.0 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Gemini CLI 0.66 adds private-network MCP OAuth and safer Git execution</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260825-02/</link>
    <guid isPermaLink="false">ev-20260825-02-gemini-0-66</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>Update</category>
    <category>WATCH</category>
    <description>&lt;p&gt;Gemini CLI 0.66 adds private-network MCP OAuth and safer Git execution&lt;/p&gt;&lt;p&gt;Original story: Gemini CLI 0.66 hardens private MCP and Git execution&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/google-gemini/gemini-cli/releases/tag/v0.66.0&quot;&gt;Gemini CLI 0.66.0 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Qwen Code 0.26.3 extends managed embedding and recovery</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260922-04/</link>
    <guid isPermaLink="false">ev-20260922-04-qwen-code-0-26-3</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Qwen Code 0.26.3 extends managed embedding and recovery&lt;/p&gt;&lt;p&gt;Original story: Qwen Code 0.26.5 adds bounded repair handoff and managed deployment&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/QwenLM/qwen-code/releases/tag/v0.26.3&quot;&gt;Qwen Code 0.26.3 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>GitHub adds workload identity to the Copilot SDK</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-01/</link>
    <guid isPermaLink="false">ev-20261027-01-published</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;GitHub Copilot SDK can now authenticate GitHub Apps installed on organizations without borrowing a signed-in user&amp;apos;s credentials. The public preview uses short-lived installation tokens and a read-only Copilot Requests permission. Usage is billed to the organization and remains subject to its model policies, budgets and spending controls.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Workload identity for the Copilot coding agent enters public preview, directly affecting credential, revocation and audit design for CI and background agents.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.blog/changelog/2026-10-27-github-copilot-supports-server-to-server-authentication/&quot;&gt;GitHub Copilot supports server-to-server authentication&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Google opens Genie 4 to trusted testers</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-02/</link>
    <guid isPermaLink="false">ev-20261027-02-published</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;Google DeepMind is rolling out Genie 4 as a research preview to trusted testers. The world model generates real-time interactive scenes with native audio and accepts live text steering; Gemini models guide longer actions. It is not broadly available yet, with Google AI Ultra, Gemini API and AI Studio access described only as coming soon or early access.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Genie 4 shows interactive world generation, but limited preview access and no open weights or general API make it an awareness item rather than an integration target.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/&quot;&gt;Genie 4: A new generation of world simulation&lt;/a&gt; · &lt;a href=&quot;https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-genie-4/&quot;&gt;Google announces Genie 4&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>FeatureArc finds coding agents inherit defects across feature stages</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-05/</link>
    <guid isPermaLink="false">ev-20261027-05-published</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;FeatureArc evaluates coding agents on features that evolve through two to ten dependent stages in one persistent workspace. Across ten agents and 73 manually reviewed tasks, pooled success fell from 62.7% on the first stage to 28.5% on the completed feature. The authors report that 72.9% of later failures inherited an earlier defect, but publish no runnable harness or code.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://arxiv.org/abs/2610.37434&quot;&gt;FeatureArc: Benchmarking Coding Agents on Evolving Features&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>OpenHands 1.34 isolates each conversation in its own runtime</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-06/</link>
    <guid isPermaLink="false">ev-20261027-06-published</guid>
    <pubDate>Wed, 28 Oct 2026 15:58:44 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;OpenHands 1.34 adds a per-conversation Docker runtime and lets users start a new conversation in an existing sandbox. It moves the session API key from process arguments to an environment variable, pins automation KV secrets across session-key rotation and blocks untrusted Markdown from choosing arbitrary link targets. The stable release was recovered from the overlap and was absent from the prior manifest.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/OpenHands/OpenHands/releases/tag/v1.34.0&quot;&gt;OpenHands 1.34.0 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Claude Code 2.1.311 fixes stale memory and duplicate restarted work</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260814-04/</link>
    <guid isPermaLink="false">ev-20260814-04-claude-code-2-1-311</guid>
    <pubDate>Tue, 27 Oct 2026 15:59:15 GMT</pubDate>
    <category>Update</category>
    <category>ADOPT</category>
    <description>&lt;p&gt;Claude Code 2.1.311 fixes stale memory and duplicate restarted work&lt;/p&gt;&lt;p&gt;Original story: Claude Code 2.1.316 closes more managed-policy gaps&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Claude Code fixes stale post-compaction memory, duplicate restarted skills and background-worktree lifecycle failures that can silently corrupt outcomes.&lt;/p&gt;&lt;p&gt;Recommendation: ADOPT&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/anthropics/claude-code/releases/tag/v2.1.311&quot;&gt;Claude Code 2.1.311 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>Qwen Code 0.26.2 tightens managed permissions and recovery</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260922-04/</link>
    <guid isPermaLink="false">ev-20260922-04-qwen-code-0-26-2</guid>
    <pubDate>Tue, 27 Oct 2026 15:59:15 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Qwen Code 0.26.2 tightens managed permissions and recovery&lt;/p&gt;&lt;p&gt;Original story: Qwen Code 0.26.5 adds bounded repair handoff and managed deployment&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Qwen Code 0.26.2 changes managed permissions, token-injection defenses and recovery paths, directly expanding long-running-agent acceptance tests.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://github.com/QwenLM/qwen-code/releases/tag/v0.26.2&quot;&gt;Qwen Code 0.26.2 release&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>OpenAI reports an internal incident-response use case for Ultrafast</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20260929-02/</link>
    <guid isPermaLink="false">ev-20260929-02-ultrafast-internal-adoption</guid>
    <pubDate>Tue, 27 Oct 2026 15:59:15 GMT</pubDate>
    <category>Update</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;OpenAI reports an internal incident-response use case for Ultrafast&lt;/p&gt;&lt;p&gt;Original story: OpenAI releases GPT-6.1 Sol near Astra capability at lower cost&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://openai.com/index/openai-cut-incident-investigation&quot;&gt;How Ultrafast cut incident investigation from hours to minutes at OpenAI&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>OpenAI releases GPT-6.1 Terra for lower-cost computer use</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261026-02/</link>
    <guid isPermaLink="false">ev-20261026-02-published</guid>
    <pubDate>Tue, 27 Oct 2026 15:59:15 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;OpenAI released GPT-6.1 Terra to all Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and through the API as gpt-6.1-terra. Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens. OpenAI positions it for visual reasoning and computer use at half the standard token price of GPT-5.6 Terra and GPT-6.1 Sol.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;GPT-6.1 Terra is GA in the API, ChatGPT Work and Codex, halving standard token prices versus Sol for computer-use routing.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://openai.com/index/introducing-gpt-6-1-terra&quot;&gt;Introducing GPT-6.1 Terra&lt;/a&gt; · &lt;a href=&quot;https://developers.openai.com/api/docs/changelog&quot;&gt;developers.openai.com · changelog&lt;/a&gt;&lt;/p&gt;</description>
  </item>
  <item>
    <title>REVA screens functions for vulnerabilities in one model pass</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261026-04/</link>
    <guid isPermaLink="false">ev-20261026-04-published</guid>
    <pubDate>Tue, 27 Oct 2026 15:59:15 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;REVA combines a module threat model, static-analysis findings and call-graph context, then reads an LLM’s internal representation with a trained probe. On PrimeVul’s held-out test set, the authors report 60.0% accuracy in about one second per function on GLM-5.3-Flash, similar to their VulTriage comparison while over 250 times faster. No public code or independent validation was identified.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://arxiv.org/abs/2610.35829&quot;&gt;Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models&lt;/a&gt;&lt;/p&gt;</description>
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