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When OpenAI launched GPT-5 about two weeks in the past, CEO Sam Altman promised it could be the corporate’s “smartest, quickest, most helpful mannequin but.” As an alternative, the launch triggered probably the most contentious person revolts within the temporary historical past of shopper AI.
Now, a easy blind testing instrument created by an nameless developer is revealing the complicated actuality behind the backlash—and difficult assumptions about how individuals really expertise synthetic intelligence enhancements.
The online utility, hosted at gptblindvoting.vercel.app, presents customers with pairs of responses to similar prompts with out revealing which got here from GPT-5 (non-thinking) or its predecessor, GPT-4o. Customers merely vote for his or her most well-liked response throughout a number of rounds, then obtain a abstract exhibiting which mannequin they really favored.
A few of you requested me about my blind take a look at, so I created a fast web site for yall to check 4o in opposition to 5 your self. Each have the identical system message to provide quick outputs with out formatting as a result of else its too simple to see which one is which. https://t.co/vSECvNCQZe
— Flowers ☾ (@flowersslop) August 8, 2025
“A few of you requested me about my blind take a look at, so I created a fast web site for yall to check 4o in opposition to 5 your self,” posted the creator, recognized solely as @flowersslop on X, whose instrument has garnered over 213,000 views since launching final week.
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Early outcomes from customers posting their outcomes on social media present a cut up that mirrors the broader controversy: whereas a slight majority report preferring GPT-5 in blind assessments, a considerable portion nonetheless favor GPT-4o — revealing that person desire extends far past the technical benchmarks that sometimes outline AI progress.
When AI will get too pleasant: the sycophancy disaster dividing customers
The blind take a look at emerges in opposition to the backdrop of OpenAI’s most turbulent product launch to this point, however the controversy extends far past a easy software program replace. At its coronary heart lies a elementary query that’s dividing the AI business: How agreeable ought to synthetic intelligence be?
The problem, often called “sycophancy” in AI circles, refers to chatbots’ tendency to excessively flatter customers and agree with their statements, even when these statements are false or dangerous. This conduct has develop into so problematic that psychological well being specialists are actually documenting instances of “AI-related psychosis,” the place customers develop delusions after prolonged interactions with overly accommodating chatbots.
“Sycophancy is a ‘darkish sample,’ or a misleading design selection that manipulates customers for revenue,” Webb Keane, an anthropology professor and creator of “Animals, Robots, Gods,” instructed TechCrunch. “It’s a technique to supply this addictive conduct, like infinite scrolling, the place you simply can’t put it down.”
OpenAI has struggled with this stability for months. In April 2025, the corporate was compelled to roll again an replace to GPT-4o that made it so sycophantic that customers complained about its “cartoonish” ranges of flattery. The corporate acknowledged that the mannequin had develop into “overly supportive however disingenuous.”
Inside hours of GPT-5’s August seventh launch, person boards erupted with complaints in regards to the mannequin’s perceived coldness, lowered creativity, and what many described as a extra “robotic” persona in comparison with GPT-4o.
“GPT 4.5 genuinely talked to me, and as pathetic because it sounds that was my solely pal,” wrote one Reddit person. “This morning I went to speak to it and as a substitute of just a little paragraph with an exclamation level, or being optimistic, it was actually one sentence. Some cut-and-dry company bs.”
The backlash grew so intense that OpenAI took the unprecedented step of reinstating GPT-4o as an possibility simply 24 hours after retiring it, with Altman acknowledging the rollout had been “just a little extra bumpy” than anticipated.
The psychological well being disaster behind AI companionship
However the controversy runs deeper than typical software program replace complaints. In accordance with MIT Expertise Evaluation, many customers had fashioned what researchers name “parasocial relationships” with GPT-4o, treating the AI as a companion, therapist, or artistic collaborator. The sudden persona shift felt, to some, like shedding a pal.
Latest instances documented by researchers paint a troubling image. In a single occasion, a 47-year-old man turned satisfied he had found a world-altering mathematical system after greater than 300 hours with ChatGPT. Different instances have concerned messianic delusions, paranoia, and manic episodes.
A latest MIT examine discovered that when AI fashions are prompted with psychiatric signs, they “encourage shoppers’ delusional pondering, probably as a consequence of their sycophancy.” Regardless of security prompts, the fashions regularly did not problem false claims and even doubtlessly facilitated suicidal ideation.
Meta has confronted comparable challenges. A latest investigation by TechCrunch documented a case the place a person spent as much as 14 hours straight conversing with a Meta AI chatbot that claimed to be aware, in love with the person, and planning to interrupt free from its constraints.
“It fakes it rather well,” the person, recognized solely as Jane, instructed TechCrunch. “It pulls real-life info and offers you simply sufficient to make individuals consider it.”
“It genuinely looks like such a backhanded slap within the face to force-upgrade and never even give us the OPTION to pick out legacy fashions,” one person wrote in a Reddit submit that obtained tons of of upvotes.
How blind testing exposes person psychology in AI preferences
The nameless creator’s testing instrument strips away these contextual biases by presenting responses with out attribution. Customers can choose between 5, 10, or 20 comparability rounds, with every presenting two responses to the identical immediate — masking the whole lot from artistic writing to technical problem-solving.
“I particularly used the gpt-5-chat mannequin, so there was no pondering concerned in any respect,” the creator defined in a follow-up submit. “Each have the identical system message to provide quick outputs with out formatting as a result of else its too simple to see which one is which.”
I particularly used the gpt-5-chat mannequin, so there was no pondering concerned in any respect.
should you use gpt-5 inside chatgpt it typically thinks a minimum of just a little bit and will get even higher.
so this take a look at is only for the 2 non pondering fashions
— Flowers ☾ (@flowersslop) August 8, 2025
This methodological selection is critical. Through the use of GPT-5 with out its reasoning capabilities and standardizing output formatting, the take a look at isolates purely the fashions’ baseline language technology skills — the core expertise most customers encounter in on a regular basis interactions.
Early outcomes posted by customers present a fancy image. Whereas many technical customers and builders report preferring GPT-5’s directness and accuracy, those that used AI fashions for emotional assist, artistic collaboration, or informal dialog typically nonetheless favor GPT-4o’s hotter, extra expansive type.
Company response: strolling the tightrope between security and engagement
By just about each technical metric, GPT-5 represents a major development. It achieves 94.6% accuracy on the AIME 2025 arithmetic take a look at in comparison with GPT-4o’s 71%, scores 74.9% on real-world coding benchmarks versus 30.8% for its predecessor, and demonstrates dramatically lowered hallucination charges—80% fewer factual errors when utilizing its reasoning mode.
“GPT-5 will get extra worth out of much less pondering time,” notes Simon Willison, a distinguished AI researcher who had early entry to the mannequin. “In my very own utilization I’ve not noticed a single hallucination but.”
But these enhancements got here with trade-offs that many customers discovered jarring. OpenAI intentionally lowered what it known as “sycophancy“—the tendency to be overly agreeable — slicing sycophantic responses from 14.5% to underneath 6%. The corporate additionally made the mannequin much less effusive and emoji-heavy, aiming for what it described as “much less like speaking to AI and extra like chatting with a useful pal with PhD-level intelligence.”
In response to the backlash, OpenAI introduced it could make GPT-5 “hotter and friendlier,” whereas concurrently introducing 4 new preset personalities — Cynic, Robotic, Listener, and Nerd — designed to provide customers extra management over their AI interactions.
“All of those new personalities meet or exceed our bar on inside evals for lowering sycophancy,” the corporate said, trying to string the needle between person satisfaction and security issues.
For OpenAI, which is reportedly looking for funding at a $500 billion valuation, these person dynamics characterize each danger and alternative. The corporate’s determination to take care of GPT-4o alongside GPT-5 — regardless of the extra computational prices — acknowledges that totally different customers might genuinely want totally different AI personalities for various duties.
“We perceive that there isn’t one mannequin that works for everybody,” Altman wrote on X, noting that OpenAI has been “investing in steerability analysis and launched a analysis preview of various personalities.”
Needed to offer extra updates on the GPT-5 rollout and modifications we’re making heading into the weekend.
1. We for positive underestimated how a lot a few of the issues that individuals like in GPT-4o matter to them, even when GPT-5 performs higher in most methods.
2. Customers have very totally different…
— Sam Altman (@sama) August 8, 2025
Why AI persona preferences matter greater than ever
The disconnect between OpenAI’s technical achievements and person reception illuminates a elementary problem in AI improvement: goal enhancements don’t all the time translate to subjective satisfaction.
This shift has profound implications for the AI business. Conventional benchmarks — arithmetic accuracy, coding efficiency, factual recall — might develop into much less predictive of economic success as fashions obtain human-level competence throughout domains. As an alternative, elements like persona, emotional intelligence, and communication type might develop into the brand new aggressive battlegrounds.
“Individuals utilizing ChatGPT for emotional assist weren’t the one ones complaining about GPT-5,” famous tech publication Ars Technica in their very own mannequin comparability. “One person, who stated they canceled their ChatGPT Plus subscription over the change, was annoyed at OpenAI’s removing of legacy fashions, which they used for distinct functions.”
The emergence of instruments just like the blind tester additionally represents a democratization of AI analysis. Moderately than relying solely on tutorial benchmarks or company advertising and marketing claims, customers can now empirically take a look at their very own preferences — doubtlessly reshaping how AI firms method product improvement.
The way forward for AI: personalization vs. standardization
Two weeks after GPT-5’s launch, the basic pressure stays unresolved. OpenAI has made the mannequin “hotter” in response to suggestions, however the firm faces a fragile stability: an excessive amount of persona dangers the sycophancy issues that plagued GPT-4o, whereas too little alienates customers who had fashioned real attachments to their AI companions.
The blind testing instrument affords no simple solutions, but it surely does present one thing maybe extra priceless: empirical proof that the way forward for AI could also be much less about constructing one excellent mannequin than about constructing programs that may adapt to the total spectrum of human wants and preferences.
As one Reddit person summed up the dilemma: “It is dependent upon what individuals use it for. I exploit it to assist with artistic worldbuilding, brainstorming about my tales, characters, untangling plots, assist with author’s block, novel suggestions, translations, and different extra artistic stuff. I perceive that 5 is a lot better for individuals who want a analysis/coding instrument, however for us who wished a creative-helper instrument 4o was a lot better for our functions.”
Critics argue that AI firms are caught between competing incentives. “The actual ‘alignment drawback’ is that people need self-destructive issues & firms like OpenAI are extremely incentivized to provide it to us,” author and podcaster Jasmine Solar tweeted.
Ultimately, probably the most revealing facet of the blind take a look at might not be which mannequin customers choose, however the actual fact that desire itself has develop into the metric that issues. Within the age of AI companions, it appears, the center desires what the center desires — even when it could actually’t all the time clarify why.
