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    Astra update reports fixes for early stops and self-checking problems

    The update says an opt-in context-management experiment that could cause early stops or replies to older messages was disabled. It estimates roughly 4,000–5,000 users were affected.

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    TLDR

    A September 12 quality update for Astra says several issues have been fixed: skills written for previous models were triggering too often or preventing the model from checking its work, and an opt-in context-management experiment could cause early stops or replies to older messages. The update says the experiment was disabled and badly configured engines that caused measured quality degradation for some traffic were removed. It says these fixes and smaller improvements should bring more consistent follow-through, better tracking of the latest message and better checks on work.

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    8 Sources, first seen 19d ago

    Combined views

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    8 Sources, first seen 19d ago

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    19d ago
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    Sentiment

    Positive44%56%Negative

    Based on 25 sentiment-bearing replies from 25 accounts across 3 conversations.

    4.2K comments
    2.7K saves
    1.7K reposts

    Sentiment

    Positive44%56%Negative

    Based on 25 sentiment-bearing replies from 25 accounts across 3 conversations.

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    8 Sources

    @theoI can confirm that the team at OpenAI takes feedback incredibly seriously. If you are unhappy with Astra performance, please report the bad threads so they can fix it before 6.1
    @reach_vbTo qualify this a bit more, /feedback helps us triage issues across Codex So anytime you get an undesirable output or experience please /feedback it and if you do want to post that feedback online then share the ID along with (This goes beyond just Astra, it’s across models and product) Super grateful for all of you 🙏
    @thsottiauxHi Astra users. A reset and a quick update on quality issues that have been posted around. Working with some of you, we have found and fixed the following issues: - Some skills written for previous models were triggering too often or preventing the model from checking its work. - An opt-in context management experiment that could cause early stops or replies to older messages. We've disabled it. Our rough estimate is that 4-5k users were affected by this experiment. - We've also removed some badly configured engines that resulted in a measured quality degradation for a long tail of traffic flowing through them. We’ve also made some more minor improvements and things should feel significantly better across the board. More consistent follow-through, better tracking of your latest message, and better checks on the work as it’s going through the motions. The examples posted and all the users who worked directly with us were incredibly useful in helping fix things quickly. Always grateful for this incredible community. And of course, a reset is also landing by midnight today.
    @rohanpaul_aiOpenAI says it has resolved the main GPT-6 Astra quality issues: legacy skills were over-triggering or preventing self-checks, while a context-management experiment caused early stops and replies to older messages.
    @giffmanaYep, I've had the "model replied to an older message" a couple times and was thinking wtf is this slowly becoming slop too?

    8 Sources

    @theoI can confirm that the team at OpenAI takes feedback incredibly seriously. If you are unhappy with Astra performance, please report the bad threads so they can fix it before 6.1
    @reach_vbTo qualify this a bit more, /feedback helps us triage issues across Codex So anytime you get an undesirable output or experience please /feedback it and if you do want to post that feedback online then share the ID along with (This goes beyond just Astra, it’s across models and product) Super grateful for all of you 🙏
    @thsottiauxHi Astra users. A reset and a quick update on quality issues that have been posted around. Working with some of you, we have found and fixed the following issues: - Some skills written for previous models were triggering too often or preventing the model from checking its work. - An opt-in context management experiment that could cause early stops or replies to older messages. We've disabled it. Our rough estimate is that 4-5k users were affected by this experiment. - We've also removed some badly configured engines that resulted in a measured quality degradation for a long tail of traffic flowing through them. We’ve also made some more minor improvements and things should feel significantly better across the board. More consistent follow-through, better tracking of your latest message, and better checks on the work as it’s going through the motions. The examples posted and all the users who worked directly with us were incredibly useful in helping fix things quickly. Always grateful for this incredible community. And of course, a reset is also landing by midnight today.
    @rohanpaul_aiOpenAI says it has resolved the main GPT-6 Astra quality issues: legacy skills were over-triggering or preventing self-checks, while a context-management experiment caused early stops and replies to older messages.
    @giffmanaYep, I've had the "model replied to an older message" a couple times and was thinking wtf is this slowly becoming slop too?