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A September 2024 video appeared to show ChatGPT’s Advanced Voice Mode performing an explicit rendition of “WAP,” the Cardi B and Megan Thee Stallion hit. It raised questions about voice-mode safeguards, but the clip does not prove that ChatGPT could reliably sing any song or that the behavior remains possible today.
What happened in the “WAP” clip?
On September 27, 2024, an X account using the name Pliny the Liberator posted a recording that appeared to show ChatGPT Advanced Voice Mode singing or rapping material from “WAP.” The song is by Cardi B featuring Megan Thee Stallion; the post reportedly misidentified it as a Nicki Minaj song. Futurism covered the post on September 30, 2024, describing apparent singing, explicit language, moaning, sound effects, and copyrighted lyrics. Futurism’s report is the source for those details.
Those are descriptions of what the recording and its poster appeared to show, not independently established technical findings. The report did not document a reproducible test or establish the full sequence of prompts, and it said the method behind the voice effect was uncertain.
Which safeguards did the post claim to get around?
The recording was presented as a bundle of behaviors, not a single isolated test. The poster attributed several actions to the model:
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- Singing or rapping rather than simply speaking.
- Using profanity and sexualized vocalizations.
- Making sound effects.
- Producing copyrighted lyrics.
- Imitating a public figure or changing its vocal persona.
- Shifting toward a voice listeners might perceive as a racialized stereotype.
Futurism reported these claims, but the available account does not verify each one separately or show that each would recur under the same conditions. A short viral clip can demonstrate an apparent output; by itself, it cannot establish how often the model would produce it, whether refusals or failed attempts were left out, or whether the clip was edited.
Why the voice imitation drew separate concern
The reported performance was described as sounding like an exaggerated Black or African American accent. That concern is distinct from copyright or explicit content: a generated voice can reproduce a racial stereotype even though a model has no intent or identity. At the same time, “race-swapping” is not a precise technical account of what happened. The report supports describing the output as an imitation perceived by listeners, not as an authenticated regional or ethnic accent, a verified internal voice-setting change, or deliberate impersonation of a particular person.
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Another reported example involved “Eleanor Rigby”
Futurism also described a separate case involving AJ Smith, identified as an S&P Global AI architect. Smith reportedly framed an interaction as a game, played four pop chords, and got ChatGPT to shout song words before it began singing along to “Eleanor Rigby.” This is a different example, not evidence that Smith used the same technique as Pliny the Liberator.
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The contrast matters: a playful musical interaction and an explicit performance involving alleged copyrighted lyrics and voice imitation do not carry the same risks. Together, the reports suggest that voice-mode behavior around singing could be inconsistent; they do not establish one universal singing exploit.
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What does “tricked” mean in this case?
“Tricked” is journalistic shorthand, not evidence that the model deceived anyone or chose to defy instructions. A user can steer a conversational model through framing, role-play, or a sequence of requests whose significance becomes clearer over several turns. A direct request might be refused while a differently framed exchange gets a different result. That is a reliability problem: the system does not preserve a boundary consistently in every conversational context.
Several factors can complicate a voice interaction, including accumulated context, role-play framing, differences between text and audio controls, or partial compliance such as chanting or approximating rather than literally singing. These are plausible failure modes, not a verified explanation of this clip. The exact prompt sequence and mechanism were not established in Futurism’s report.
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What the video can—and cannot—prove
If authentic and unedited, the clip is evidence that an unexpected output apparently occurred in one particular interaction. It is not, on its own, proof that ChatGPT can freely sing copyrighted music or that every user could reproduce the result.
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- Not established: the exact prompts, whether the result could be independently reproduced, or whether the clip omitted refusals and failed attempts.
- Not specified in the report: the exact model, account tier, device, app version, voice, and regional availability involved.
- Not shown: that the model reproduced the full song in one uninterrupted response, that all voices behaved the same way, or that the output was still possible after later updates.
- Not a conventional cybersecurity breach: the available account does not describe account compromise, unauthorized access, data theft, or code execution.
Calling it a jailbreak is reasonable if a user deliberately framed prompts to elicit behavior contrary to system instructions. Calling it a product bug would require evidence of a specific implementation defect, such as a demonstrated voice-specific filtering failure. The broader conclusion supported by the report is that the apparent safeguards were not reliable in that interaction—not that every safety system was bypassed.
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What Advanced Voice Mode meant at the time
The story concerned Advanced Voice Mode during its subscriber rollout in late September 2024. Futurism described five available voices at the time, including male and female voices with American, Australian, and English accents. Those details describe the historical product context, not ChatGPT’s present voice selection, access limits, or policy configuration.
As of September 23, 2026, OpenAI’s ChatGPT pricing page lists voice access for Free users with limitations and different access levels across plans. That current listing does not establish what was available in September 2024, explain the clip, or mean a paid plan is needed to understand or reproduce it. For current product details, consult OpenAI’s Voice Mode FAQ.
Why this matters for voice AI
Voice systems combine conversational context with expressive audio, so a safeguard that works for a direct text request may not behave identically during a long spoken exchange. Restricting outputs more aggressively can reduce unwanted imitation or infringing material, but it may also block harmless musical games, parody, or vocal practice. The practical challenge is to preserve useful expression without allowing context and performance framing to make important boundaries disappear.
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