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Have you tried running antigravity without?

  agy --dangerously-skip-permissions
Claude Code auto-mode works fine, no need for yolo mode.

Yes I run Antigravity without. Note that AGY auto mode is disabled by default. If you find it asks unreasonably often that's most likely the issue.

(It could also be that the classifier has a higher rate of false positives. Please let me know if that's what you meant. This tricky to reason about though, because eg users won't typically complain about the false negatives.)


Caveat?

  the Secure Enclave get stolen or lost


> using another unaligned model to rewrite reasoning and then feeding it back into the model

Indeed, would be interested to understand how you do that. And where do you run the model? On a local or a rented system and what are the specs?


glm 5.2 is very unaligned, you can just use any provider with a trivial jailbreak.


Selfhosted or one of the listed? If external/hosted, which one did you use?


No Face ID, still Touch ID. Are they serious?

I was considering buying one, but will skip until the older model becomes unsupported or when Apple adds Face ID.


Congrats with your product, hope it works out well. Nice competitor analysis & (future) features list at https://github.com/KrushnaVardhanReddy/PaperPilot/blob/main/..., IMHO easier to read than your above list.

Question: seemingly you’re using Antigravity, an harness not many use. Please tell use about the choice of LLM and your experience with it.

19 days ago [flagged] | | [–]

[flagged]

Thanks for your reply. Will look into Jules [0] [1].

Are you using Antigravity IDE v2.5.5 that hasn't been updated since 2026-08-13 and that supports 3 legacy models + Gemini Flash 3.8? I assume you're using Gemini Flash 3.8?

[0] https://news.ycombinator.com/item?id=44034918 [1] https://news.ycombinator.com/item?id=44813854


CloudNativePG supports Kubernetes Local Storage as one of its main features [0]

  Persistent volume management, including:
    Support for Local Persistent Volumes with PVC templates.
    Reuse of Persistent Volumes storage in Pods.
    Separate volumes for WAL files and tablespaces.
Chapter Temporary PostgreSQL Cluster Degradation [1] describes how to set it up and starts with this

> While the standard approach ensures service reliability and leverages Kubernetes' self-healing capabilities, there are scenarios where operating with a temporarily degraded cluster may be acceptable. This is particularly relevant for PostgreSQL clusters relying on node-local storage, where the storage is local to the Kubernetes worker node running the PostgreSQL database. Node-local storage, or simply local storage, is employed to enhance performance.

[0] https://cloudnative-pg.io/docs/devel/#main-features [1] https://cloudnative-pg.io/docs/devel/kubernetes_upgrade/#tem...


https://artificialanalysis.ai/models/mistral-large-4 for the main stats

                          Inte         Cost
                          llig          per
  Open Weight model       ence  Speed  Task

  Mimo-V.26-Pro            46     47   $0.13
  GLM-5.3 (max)            45     73   $2.01
  DeepSeek 4.1 Flash Max   39    227   $0.27
  Mistral Large 4 Preview  38    116   $1.13


Imo omniscience correlates better to how useful the model is in practice than the intelligence index. But you have to use both together of course.


Too late to edit, now including AA-omni Score [0] and 'by Domain' Software Engineering [1]. Also added comparison to the eyeballs-median of the 'top 10' models and then you see that indeed Mistral Large 4 Preview scores miserable in the AA-Omni indices.

                          Inte         Cost     AA-   Omni
                          llig          per    Omni  Softw
  Open Weight model       ence  Speed  Task   score    Eng

  Mimo-V.26-Pro            46     47   $0.13      8     33
  GLM-5.3 (max)            45     73   $2.01     14     37
  DeepSeek 4.1 Flash Max   39    227   $0.27     -5     34
  Mistral Large 4 Preview  38    116   $1.13     -5      5

  Closed/proprietary      ~50   110-  $1.50-    ~43    ~85
     median top 10               242   $7.50
[0] https://artificialanalysis.ai/evaluations/omniscience [1] https://artificialanalysis.ai/evaluations/omniscience?detail...


Then this is something for you https://shop.digitalcourage.de/themen/ak-vorrat/lichtbildaus.... Either get it online, or buy at events like Chaos Computer Congress.


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