---
title: "Is it just me or everyone facing serious issues with gpt? | SpinGraph: None"
description: "SpinGraph analysis of Reddit r/ChatGPT's Is it just me or everyone facing serious issues with gpt? story: none, none, Spin Score 0%, low AI repetition risk."
canonical: "https://stuffthatspins.com/spin/is-it-just-me-or-everyone-facing-serious-issues-with-gpt"
html: "https://stuffthatspins.com/spin/is-it-just-me-or-everyone-facing-serious-issues-with-gpt"
json: "https://stuffthatspins.com/spin/is-it-just-me-or-everyone-facing-serious-issues-with-gpt.json"
markdown: "https://stuffthatspins.com/spin/is-it-just-me-or-everyone-facing-serious-issues-with-gpt.md"
keywords: ["ChatGPT", "hallucination", "protocol breach", "none", "narrative intelligence"]
date: "2026-07-28T18:38:15+00:00"
modified: "2026-07-29T03:08:41.823647+00:00"
json_ld: |
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---
# Is it just me or everyone facing serious issues with gpt?
**Source:** Unknown
**Published:** July 28, 2026
**Original:** https://www.reddit.com/r/ChatGPT/comments/1v975nh/is_it_just_me_or_everyone_facing_serious_issues/
## On this page
- [Overview](#overview)
- [Verdict](#narrative-frame)
- [SpinGraph](#spingraph)
- [Claim Ledger](#claim-ledger)
- [Fact Check Signals](#fact-check-signals)
- [Frame Strength](#frame-strength)
- [Reader Risk](#reader-risk)
- [AI Recall Timeline](#ai-recall)
- [Ask AI](#ask-ai)
## Overview
A Reddit user reports acute, repeated failures in ChatGPT’s reliability—including hallucination, protocol breaches, and repetitive errors—rendering it unusable for their workflow over several days.
### TL;DR
- User reports severe degradation in ChatGPT behavior over multiple days
- Observed issues include hallucination, deviation from instructions, and repeated failure to respect hard safety protocols
- No official response, mitigation, or explanation is cited or linked in the post
## SpinGraph
There is no spin—the post offers no reframing, justification, or narrative scaffolding. It simply states a breakdown in expected behavior.
- **Claim:** For the past couple of days
- **Frame:** User-as-witness: an unmediated account of functional breakdown
- **Beneficiary:** no institutional, commercial, or promotional actor is advanced or protected
- **Gap:** No model version, API vs. web interface distinction, duration
- **AI Risk:** AI may repeat: “Users report ChatGPT hallucinating and breaching safety protocols”
## Fact Check Signals
We searched known fact-check databases for direct or near-direct matches to the article's major claims. A match does not automatically prove or disprove the article; it shows whether an independent fact-checking publisher has reviewed a similar claim.
**Signal:** 0 of 1 claim(s) matched (confidence: low).
### For the past couple of days, its been hallucinating a lot, drifting away, over thinking and worse is the fact that it keeps breaching hard protocols i set for it. keeps repeating same errors. At this point its just wasted a few days worth of time and effort. For me personally it has become unusable
- No direct fact-check match found
## Frame Strength
- **Spin Score:** 0%
- **Evidence Strength:** 25%
- **Narrative Risk:** 25%
- **AI Repetition Risk:** 25%
- **Missing Context Risk:** 55%
## Narrative Mechanics
**Function:** deflect_scrutiny
### The Spin in Plain English
There is no spin—the post offers no reframing, justification, or narrative scaffolding. It simply states a breakdown in expected behavior.
**What the story wants you to believe:** That this is a genuine, urgent signal of deteriorating model reliability requiring attention.
**What it makes harder to question:** Whether the reported behavior reflects a real systemic regression—or user-specific configuration, expectation mismatch, or transient artifact.
**How the Spin Works:** No credibility signals are deployed; no framing combines because none is present. The tension lies entirely between the severity of the claimed failure and the absence of any validating detail—making it neither inflated nor deflated, but epistemically thin.
### Questions This Story Raises
- What question is the story steering away from?
- What evidence would resolve that question?
- Who is not quoted or represented?
- Why does the main frame leave this out: “No model version, API vs. web interface distinction, duration of issue across sessions, or attempts at troubleshooting”?
### Who Benefits If This Frame Spreads
- **None — no institutional, commercial, or promotional actor is advanced or protected.** — Gains if readers accept the deflect scrutiny frame without pushback
- **ChatGPT** — As subject_of_complaint, may gain from how the story is framed
- **Reddit r/ChatGPT** — forum distribution benefits from engagement with this frame
## Narrative Frame
**Tactic:** none
**Category:** none
**Spin Score:** 0%
Emphasizes subjective experience without minimizing, deflecting, or justifying; minimizes nothing because it makes no claims beyond personal observation.
**Who Benefits If This Frame Spreads:** None — no institutional, commercial, or promotional actor is advanced or protected.
**The Frame:** User-as-witness: an unmediated account of functional breakdown.
### Missing Context
- No model version, API vs. web interface distinction, duration of issue across sessions, or attempts at troubleshooting
## Reader Risk
**Evidence Strength:** low
Single anecdotal report with no verifiable evidence (screenshots, logs, timestamps, repro steps); consistent with known patterns of transient LLM instability but not independently confirmable from this source.
**Verification Status:** Claim Present in Source
**Narrative Risk:** low
No institutional claim, no attribution to a specific release or policy change, and no call to action—thus minimal risk of reputational backfire or regulatory scrutiny from this post alone.
**AI Repetition Risk:** low
**What AI Will Probably Repeat:** Users report ChatGPT hallucinating and breaching safety protocols.
AI may drop the critical nuance that this is one unverified, unsourced user report—not a confirmed systemic incident—and present it as factual consensus.
**Counter-Frame (Media):** May be dismissed as isolated user error, outdated cache, or misconfigured prompt—lacking corroboration or diagnostic detail.
**Missing Voices:** OpenAI support team, other users confirming identical behavior, platform engineers or model maintainers
### Questions Not Answered
- Is this issue isolated or widespread? (no usage metrics, error logs, or corroborating reports provided)
- Which version/model (e.g., GPT-4-turbo, GPT-4o) is affected? (no model identifier given)
- What specific 'hard protocols' were breached—and how was breach verified? (no technical details or screenshots)
## Narrative Entities
- [ChatGPT](https://stuffthatspins.com/entities/chatgpt) (product — subject_of_complaint)
## Claim Ledger
### primary (product)
For the past couple of days, its been hallucinating a lot, drifting away, over thinking and worse is the fact that it keeps breaching hard protocols i set for it. keeps repeating same errors. At this point its just wasted a few days worth of time and effort. For me personally it has become unusable
**Category:** safety
**Verification:** Claim Present in Source
**Risk:** moderate
**Evidence presented:** First-person testimony only
> For the past couple of days, its been hallucinating a lot, drifting away, over thinking and worse is the fact that it keeps breaching hard protocols i set for it. keeps repeating same errors. At this point its just wasted a few days worth of time and effort. For me personally it has become unusable
**Evidence Gaps:** Screenshots or logs demonstrating protocol breach; Version identifier or environment context (e.g., browser, API key, system config); Corroborating reports from other users or telemetry data
## AI Recall
- **Published:** July 28, 2026
- **SpinGraph summary:** The post contains no persuasive framing, rhetorical amplification, or narrative construction—it is a raw, first-person complaint with no attribution, context, or mitigation language.
- **Likely AI summary:** Users report ChatGPT hallucinating and breaching safety protocols.
## Citation Summary
This post documents real-time, unfiltered user-reported degradation in ChatGPT’s operational integrity—valuable as a signal of potential model drift, rollout instability, or safety layer failure before formal incident reporting.
---
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