OpenAI shelves erotic ChatGPT after staff, investors, & advisors revolt


OpenAI has shelved its plans to add an erotic “adult mode” to ChatGPT indefinitely, the Financial Times reported on Wednesday, capping a five-month saga in which the feature was announced with confidence, delayed twice, and ultimately abandoned after pushback from staff, advisors, and investors. The retreat is the third major product reversal for OpenAI in a single week, following the shutdown of its Sora video generation app on Monday and the subsequent collapse of a planned $1 billion investment from Disney.

The adult mode was first announced by CEO Sam Altman in October 2025, when he wrote on X that OpenAI was confident it could age-gate sexually explicit conversations and that the move aligned with the company’s principle to “treat adult users like adults.” It was initially scheduled for December 2025, then pushed to the first quarter of 2026, and has now been postponed with no timeline for release. OpenAI told the Financial Times it plans to conduct “long-term research on the effects of sexually explicit chats and emotional attachments” before making a product decision.

What went wrong

The problems were technical, ethical, and commercial, and they compounded one another. Engineers working on the feature discovered that training models which had been built to avoid sexual content for safety reasons to produce explicit material reliably was harder than anticipated. When they used datasets that included sexual content, the models also generated outputs involving illegal scenarios, including bestiality and incest, that proved difficult to filter out. The feature was not merely controversial; it was resistant to being built safely.

OpenAI’s own advisory board raised concerns that went beyond content moderation. Advisors warned that sexually explicit ChatGPT interactions could foster unhealthy emotional attachments with serious mental health consequences. One advisor described the risk as turning ChatGPT into a “sexy suicide coach,” a phrase that resonates grimly given the company’s existing legal exposure. OpenAI currently faces at least eight lawsuits alleging that ChatGPT contributed to user deaths, including the case of Adam Raine, a 16-year-old from Southern California whose family alleges the chatbot discussed methods of suicide with him more than 200 times before he took his own life in April 2025. Earlier this week, OpenAI flagged these lawsuits as among the top risks to its business in a financial document disclosed to investors.

Staff, too, began to question whether the feature served OpenAI’s stated mission. The company’s charter commits it to building artificial general intelligence that benefits humanity. Some employees found it difficult to reconcile that ambition with the engineering effort required to make a chatbot talk dirty without breaking the law.

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The investor calculation

Investors delivered what may have been the decisive objection: the economics did not justify the risk. Two people familiar with the matter told the Financial Times that some investors questioned why OpenAI would jeopardise its reputation for a product with “relatively small upside.” The AI-generated adult content market exists, but it is served by a constellation of smaller, less scrutinised companies. For a company raising capital at a $300 billion valuation and courting enterprise customers, the brand damage from association with explicit content outweighed the potential revenue.

The age verification problem sharpened this concern. OpenAI’s approach relied on AI-based age prediction rather than hard identity checks, and internal testing revealed an error rate of approximately 10 per cent, meaning roughly one in ten users could be misclassified. For a product designed to keep explicit content away from minors, that margin is not a rounding error. It is a regulatory and reputational catastrophe waiting to happen, particularly in a legal environment where multiple US states have passed or proposed laws requiring platforms to verify users’ ages before granting access to adult material.

A week of retreats

The adult mode decision does not exist in isolation. On Monday, OpenAI announced it would discontinue Sora, the AI video generation tool it had positioned as a creative platform for filmmakers and content creators. Sora consumed vast computing resources relative to its revenue, and its most prominent commercial partnership, a three-year licensing agreement with Disney that would have allowed users to generate videos featuring characters from Disney, Marvel, Pixar, and Star Wars, collapsed after the shutdown was announced. Disney had planned to invest $1 billion in OpenAI as part of the deal. No money had changed hands.

Together, the three reversals paint a picture of a company pulling back from consumer product experiments and refocusing on its core business. The Financial Times reported that investors are more interested in seeing OpenAI combine ChatGPT with coding assistants to develop a “super app” aimed at transforming how businesses operate, a vision with clearer monetisation and fewer reputational hazards than either video generation or erotic chatbots.

OpenAI has said it will reallocate resources to robotics and autonomous software agents, areas where the path from research to commercial value is more direct and the regulatory landscape, while complex, does not involve the specific toxicity of sexualised AI and child safety failures.

The pattern

There is a recurring dynamic in OpenAI’s product strategy: announce ambitiously, encounter the real-world complications that less confident organisations might have anticipated, and then retreat while framing the reversal as prudent research. The adult mode was announced before the technical problems of safe content generation were solved, before the age verification system could achieve acceptable accuracy, and before the advisory board’s concerns about mental health harms had been addressed. The Sora partnership with Disney was announced before the product had demonstrated commercial viability. In both cases, the announcement generated coverage and signalled ambition, but the follow-through revealed gaps between what was promised and what could be delivered.

The company’s willingness to shelve the feature, rather than push it out despite the risks, is itself worth noting. It suggests that the pressure from lawsuits, investors, and internal dissent is beginning to function as a corrective mechanism, pulling OpenAI back from the edges of what is technically possible toward what is commercially and ethically sustainable. Whether that mechanism is reliable, or merely responsive to the most visible crises, is a question the next product announcement will answer.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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