GitHub Copilot retires Opus 4.7, Kimi K2.7 Code, and 2 Gemini Flashes

The Oct 2 cull moves you to Opus 5.5, Kimi K3, and Gemini 3.8 Flash — plus critical RCE/auth-bypass bugs in GitLab and AWS AI gateways, and Ai2's 1T-MoE stack.

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  • Four models leave Copilot, everywhere

    As of Oct 2, GitHub Copilot dropped Gemini 3.5 Flash, Gemini 3.6 Flash, Kimi K2.7 Code, and Claude Opus 4.7 across every surface — chat, inline edits, ask and agent modes, and completions. The suggested swaps are Gemini 3.8 Flash, Kimi K3, and Opus 5.5; if your Enterprise admin gates models, those replacements may need enabling in model policies before they show up.

  • Patch self-hosted GitLab AI Gateway now

    CVE-2026-90970 (CVSS 9.9) lets an authenticated Duo Agent user escape the prompt-template sandbox via a crafted flow config and run arbitrary commands on the gateway. Fixed in 19.2.4, 19.3.2, and 19.4.1; affected builds run 18.1.6 through 19.4.0. GitLab.com and Dedicated are unaffected, and there are no in-the-wild exploits yet — upgrade before that changes.

  • AWS Loom hands admin to anyone with no IdP

    A newly disclosed auth-bypass (CVE-2026-103956, CVSS 10) in AWS's open-source agent orchestrator Loom lets any network client seize the control plane when no identity provider is configured — registering malicious tool servers, pulling stored integration credentials, and rewriting IAM policies. Upgrade to Loom 1.7.0 and rotate secrets; the same advisory includes a SageMaker command-injection bug (CVE-2026-104019).

  • Ai2 open-sources a trillion-param MoE trainer

    Olmo-core 3 rebuilds AI2's open training stack for giant mixture-of-experts models: 52,000 tokens/sec/GPU on eight NVIDIA B300s, roughly 2.7x its previous throughput, with MXFP8 precision adding about 21% over a BF16 baseline. The team pushed it to 1.2T total params (58B active) on 512 GPUs. If you're training your own MoE, the code is on GitHub at allenai/olmo-core.

  • Copilot gets desktop control and coded workflows

    Two Oct 1 Copilot previews worth a look: computer use is now in public preview in the Copilot CLI and the macOS/Windows app, letting the agent click through desktop apps on your behalf; and dynamic workflows let you define an orchestration in code — across the CLI, the app, and the SDK — for repeatable multi-step runs instead of one-shot prompts.