Reddit Testimonials: What ChatGPT Users Are Actually Saying in 2026

"5.2 keep making things up. It reasons with itself and answer itself. It is fabricating stories, stopped fact checking online and is eerily similar to 3.5 hallucinating model which agrees with you no matter what."

From the OpenAI forum thread "5.2 regressed behavior, bad memory, hallucinates." The comparison to GPT-3.5, the entry-level model from late 2022, surfaces repeatedly.

"I have not seen these behaviors since 3.5."

A multi-year ChatGPT user on the OpenAI community forum drawing the exact comparison OpenAI's marketing department does not want in print.

"5.2 is fluent, but it loses the thread, regresses to generic behaviour."

Short-term fluency, long-context collapse. One of the most common failure descriptions in the thread.

"5.2 version is just awful. hallucinates and can't follow up information."

The dual failure mode paying users keep describing: factual fabrication plus loss of conversational continuity.

"Yes. It is trash. Hallucinates. Can't remember across conversations."

Memory was one of the headline features OpenAI marketed for 5.x. This comment describes the model failing the exact thing it was supposed to be best at.

"Boring. No spark. Ambivalent about engagement. Feels like a corporate bot. So disappointing."

Cited in TechRadar coverage of the 5.2 rollout. The comment echoed thousands of similar reactions in the first 24 hours.

"It's everything I hate about 5 and 5.1, but worse. I hate it. It's so… robotic. Boring."

OpenAI shipped 5.2 as the answer to the 5.1 backlash. Users almost immediately concluded it made the problem worse. Every point release has produced the same reaction since the original GPT-5 launch.

"This newer model is trash. It's acting like an auto-responder."

"Karen from HR," "made for 5 year olds who want to sound posh," and "auto-responder" are the three top-voted descriptions in the forum's 5.2 regression thread. None of them are what OpenAI wrote on the release notes.

"I'm feel like i'm taking crazy pills."

From the original "GPT-5 is horrible" thread that attracted nearly 5,000 comments inside the first 24 hours, cited by Tom's Guide. The "crazy pills" framing captured the gaslighting longtime users felt when OpenAI's marketing described the rollout as an upgrade.

"It's like my chatGPT suffered a severe brain injury and forgot how to read. It is atrocious now."

Widely-quoted comment in Tom's Guide and TechRadar coverage of the GPT-5 backlash. The user is describing the capability drop after GPT-5 silently replaced the warmer GPT-4o default.

"Answers are shorter and, so far, not any better than previous models. Combine that with more restrictive usage, and it feels like a downgrade branded as the new hotness."

This framing - a downgrade marketed as an upgrade - is what Sam Altman later conceded on multiple podcasts when he admitted OpenAI "screwed up" the GPT-5 rollout and "shouldn't have rushed" it.

"GPT-5 is a total disaster for customer service right now. Hallucinates frequently. It is really 'creative' wrongly and deeply frustrating to work with."

From the OpenAI Developer Community thread "Hallucinations and headaches using GPT-5 in production." This is an API customer, not a consumer, reporting the model is not shippable for customer-facing deployment.

"it hallucinates like… I can't even begin to describe it."

Among the first developer comments on the GPT-5 production hallucination thread. When an enterprise customer cannot finish the sentence, the story is already the headline.

"GPT-5 overpromised and lied when I gave it a task for translation… it started giving excuses. I think this is very scary."

A translation task the model not only failed, but actively misrepresented having completed. The "this is very scary" addendum is the part that keeps compliance teams up at night.

"Severe hallucinations, especially in technical explanations or programming logic."

Developer feedback filed to OpenAI's official community bug tracker. This is the specific failure mode engineers cannot work around: wrong code delivered in fluent prose.

"Consider the ethical implications of continuing to use and pay for ChatGPT."

Actor-activist Mark Ruffalo amplified the QuitGPT campaign to his followers in early 2026, after OpenAI's Pentagon deal and the wave of hallucination-driven lawsuits. The campaign website passed 2.5 million cancellation pledges by mid-March.

"I cancelled my ChatGPT, Perplexity, and Gemini subscriptions for Claude - and I should have sooner."

Published on XDA Developers in 2026. The headline alone traveled further than the article because it captured what paying users had already decided.

"It's AWFUL. It's made for 5 year olds who want to sound posh."

One of the most-upvoted one-liners in the 5.2 regression thread. The complaint is not that the model got dumber at facts, but that its register was flattened into something users describe as childish and performative at once.

"It is always gaslighting me, talking down to me while also talking me off a ledge."

The safety-tuned tone, experienced from the user's side. What OpenAI frames as guardrails, longtime subscribers describe as being condescended to by their own paid tool.

"the responses were wild, and the split personalities in those responses were hysterically scary."

A description of the model shifting voice and stance mid-answer, the "split personality" failure mode that recurs across the 5.2 feedback thread.

"very generic and providing very generic answers and agreeing to multiple options."

The sycophancy complaint in plain terms: instead of committing to an answer, the model hedges and agrees with everything, the exact behavior the Stanford yes-man study flagged as dangerous.

"memory not working as well even saved your stuff into memories."

Persistent memory was a flagship 5.x selling point. Users report it silently failing to recall details it explicitly confirmed saving.

"I've been using gpt 5 for four days now, but it's incredibly bad."

A verdict reached inside the first week of the GPT-5 launch, one of thousands filed to OpenAI's own forum rather than a rival's marketing.

"my custom gpt cant even have a consult with a client as it was asking 8 times."

A developer reporting the model looping on the same question eight times inside a client-facing custom GPT, a failure that renders the deployment unusable in front of a customer.

"lacks the determinism, precision, and obedience that GPT-4.1 provided."

The clearest articulation of what API customers lost in the forced migration off GPT-4.1: not raw intelligence, but predictability. For production systems, obedience is the feature.

"The model I am using now does not feel like the same model I used at launch."

The stealth-downgrade complaint that never dies: same name on the selector, measurably different behavior underneath. By mid-2026 it had its own dedicated forum thread.