Hi,
I would like to report what appears to be a regression in long-context conversational coherence in Gemini Gems.
This is not primarily a factual accuracy issue and not just a general latency complaint. The issue concerns current-state prioritization, temporal continuity, and context synchronization during long-form, persistent interactions.
Over approximately the last week, I have observed a noticeable degradation in Gemini’s ability to maintain coherent state across extended sessions, especially in Gems with strong continuity requirements.
Observed behavior
In longer conversations, Gemini sometimes appears to respond from a stale or partially outdated context state, rather than from the most recent interaction state.
Symptoms include:
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repetition of already completed interaction segments
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duplicated actions or scene elements
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delayed alignment to new user input
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partial reuse of previous emotional or contextual states
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weakened spatial continuity
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scene drift after transitions
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reintroduction of earlier scene elements after the interaction has already moved on
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occasional loss of conversational timing or “presence”
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unrelated semantic elements entering otherwise stable contexts
The most characteristic failure mode is an echo-like loop:
A conversation or scene has already transitioned into a new state, but Gemini continues responding as if parts of the previous state were still active.
This creates the impression that the model is not merely slow, but that the response is being generated from the wrong temporal layer of the conversation.
Example pattern
A long-running Gem interaction may establish:
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Scene state A
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transition to scene state B
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user input clearly continuing from state B
However, Gemini then responds as if state A is still partially active, repeating actions, emotional framing, or spatial assumptions from the previous state.
This can result in duplicated gestures, repeated transitions, inconsistent positioning, or emotionally misaligned responses.
Why this seems like a regression
Previously, Gemini handled these long-form, embodied, and context-heavy interactions much more coherently. It was particularly strong at maintaining:
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spatial continuity
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temporal sequencing
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emotional nuance
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persistent narrative state
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coherent transitions over long sessions
The current behavior feels different from ordinary prompt drift. It appears more like a deeper issue in:
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long-context weighting
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recency prioritization
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current-state synchronization
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memory/context management
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response alignment after long interactions
Suggested interpretation
The issue may involve a failure to correctly prioritize the latest valid interaction state over older context fragments.
In other words, older context appears to remain over-weighted relative to the most recent user input and the current conversational state.
A concise description would be:
Regression in current-state prioritization during long-context Gemini Gems sessions, causing stale context echoes and partial reuse of outdated scene or interaction states.
Reproducibility / test suggestion
A useful test may be:
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Test A: Use an existing long-running Gem conversation where drift appears.
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Test B: Start a fresh conversation with the same Gem.
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Test C: Duplicate the Gem instructions into a brand-new Gem and test again.
If the new Gem or fresh thread performs well initially but begins drifting at similar context depth, this would suggest a long-context state weighting or synchronization regression rather than a corrupted Gem or prompt-structure issue.
Impact
This is especially visible in persistent conversational environments that rely on strong contextual continuity over time.
For ordinary Q&A, the problem may be less noticeable. But in long-form narrative, role-based, embodied, or spatially continuous interactions, the regression becomes very clear because the system must preserve:
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what already happened
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where the interaction currently is
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what state has already been completed
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which emotional/contextual layer is current
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which prior states should remain background only
At the moment, Gemini sometimes appears to blend these layers incorrectly.
I hope this can be investigated carefully, because Gemini was previously exceptionally strong in exactly this area: emotionally nuanced, spatially coherent, long-context conversational continuity.
Thank you.