ChatGPT wires 3 in‑chat ad types – creators eye 2 rival models

Developers have spotted new com.openai.feature.ads.data.* classes in a ChatGPT client build, including ApiSearchAd, SearchAd, and SearchAdsCarousel, pointing to an internal ads system being actively wired up even though nothing is live yet. ads code screenshot

For creatives who treat ChatGPT as a neutral collaborator, this matters because it hints at sponsored units appearing alongside search or answer content rather than in a clearly separate ad box, which could subtly steer tool, product, or platform choices inside the same interface they use for briefs and scripts. The presence of detailed types like AdTarget, EncodedAdData, and BazaarContentWrapper suggests more than a trivial experiment and looks like a proper ad-serving pipeline being integrated into ChatGPT’s stack, even though OpenAI hasn’t commented publicly yet. trust loss comment

Reaction from power users has been swift: creators are posting mock dialogues showing ChatGPT’s advice quietly spliced with product plugs (“Bose QuietComfort Ultra…”, “Herman Miller chairs…”, “CapCut and Adobe Premiere Rush…”) to illustrate how in-chat ads could turn sensitive conversations about work, health, or focus into covert affiliate recommendations. ad dialogue mockups

One long‑time user says “all trust in its responses will be lost” and directly asks Sam Altman not to ship ads in ChatGPT, framing the move as incompatible with using the tool for honest emotional and creative decision making. trust loss comment Others report cancelling or planning to cancel paid ChatGPT in favor of Gemini or other models if ads land (“I already Unsub, I'll stick to gemini and see”; “I once cancelled my ChatGPT sub lol”), signaling real churn risk among exactly the heavy creative users OpenAI has depended on. (user unsub reply, previous cancel note) For designers, filmmakers, and writers who lean on ChatGPT for unbiased brainstorming and vendor‑agnostic tool picks, the fear is less about seeing banners and more about not knowing when a suggestion is there because it’s best for the work versus best for an ad campaign.

Emad Mostaque says “so many” new video models are coming and predicts that next year text‑to‑video pixel generation will be effectively “solved,” reinforcing a sense among builders that the race beyond Veo 3.1, Kling 2.5 and Whisper Thunder is about to accelerate hard Emad outlook.

Creators are already treating this as a near‑term roadmap, tying Emad’s comment to at least two unannounced models that infra providers like FAL and Replicate are quietly testing and hyping as the next big step beyond current leaders provider chatter. In the same conversation, people note that a stealth model (“Whisper Thunder / David”) is already topping Artificial Analysis’ text‑to‑video leaderboard over Veo 3, Veo 3.1 and Kling 2.5 Turbo, with an ELO of 1247 from 7,344 appearances AA leaderboard, so the bar for any 2026‑class model is now very specific: better motion, consistency and style control than that. The point is: if you’re a filmmaker or motion designer investing in prompt recipes and pipelines today, this hints that your workflows may need a refresh in a few months as a new crop of models lands with meaningfully different strengths and weaknesses.

A Gemini App creator re‑ran an old prompt that had looked great on Veo 3 and found Veo 3.1’s output clearly weaker side‑by‑side, claiming “Veo 3 was better then Veo 3.1” and asking others which version they prefer comparison comment.

In the posted split‑screen, both clips follow the same brief (a stylized dance scene), but the original Veo 3 render appears smoother and more cohesive, while the Veo 3.1 version shows more jitter and slightly flatter lighting comparison comment. This is interesting because Google has been positioning Veo 3.1 as a refinement, and other demos like the 8‑second “scorpion car” spot from Veo 3.1 Fast on Gemini show very strong, low‑angle tracking and dramatic light flares car spot demo. For filmmakers and editors, the takeaway is that version bumps aren’t always strict upgrades on every axis: if Veo 3.1 is now your default, it can be worth A/B‑testing key hero shots against Veo 3 (or alternative models like Kling or Whisper Thunder) before locking a look that really matters.