Models & LabsUnited States

With GPT-6, ChatGPT’s responses are much more visually appealing and interactive

Credited to SiliconANGLE · siliconangle.com17h ago

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OpenAI Group PBC says ChatGPT is moving away from its traditional wall-of-text responses and giving users a more interactive user interface to play with.

In a media briefing today, the company said its GPT-6 models will now be able to access an “Intelligent UI” that will allow the chatbot to generate more visual outputs when it deems necessary, replacing words with graphics, tappable buttons, forms and charts” that will provide a much more interactive experience.

ChatGPT will determine for itself when an answer needs a more visually appealing response and interactive elements for the user to explore a topic more deeply. In such instances, the model will integrate these directly with its response.

In an example, OpenAI showed someone asking ChatGPT how to piece together a seven-speed bicycle. Rather than just churning out endless text that explains everything, it instead generated a complete design breakdown, complete with visualizations of each of the main parts and a clickable button that allows readers to learn more about each of them.

In a second example, a user asked ChatGPT to create a plan for a lamb roast with pictures of each dish, plus a recipe that allowed the user to alter the number of guests in order to recalculate the amount of ingredients required.

OpenAI explained that ChatGPT will generate these visualizations from a library of components that the GPT-6 models were pretrained on. For more basic prompts and questions, the chatbot will stick with the old text-only format, but users will have the option to request a more interactive response at any time, and it will reformat the response accordingly.

The goal with this update is to make “learning complex topics easier,” OpenAI Product Manager Aarush Selvan said in the briefing. The intelligence UI may also help to make ChatGPT more accessible and increase its appeal, though Selvan didn’t say this directly.

ChatGPT has predominantly been a text-based interface,” Selvan said. But the company wants to help people get things done, and it believes that “from the everyday things like planning a recipe or a trip or even trying to learn something, the most helpful answers aren’t just text.”

The visual UI is primarily designed to make ChatGPT easier for people to use and retain information, Holger Mueller of Constellation Research told SiliconANGLE. “We’ve long known that usability is one of the primary factors driving adoption of software, and the text-only interface doesn’t really help when people when it comes to information absorption or processing,” the analyst said.

Mueller believes that this is such a significant move by OpenAI that it could signal the opening of a new front in the battle of the AI assistants, especially if Anthropic responds with a similar visual aesthetic in Claude. “Anthropic will be under pressure to respond to this in the next few weeks, or it could even do so in just a few days if something similar was already in the works,” he said. “This could lead to usability and not just the quality of the model and its answers becoming the deciding factor in which chatbots people want to use. If Anthropic fails to respond to this, OpenAI has a very strong differentiator that would likely change many people’s choices once they see it.”

That is assuming that the Intelligent UI works as well as advertised, of course. It’s worth noting that it’s not an entirely original idea. In fact, it’s somewhat reminiscent of Google LLC’s “Generative Interface,” which was introduced with the launch of Gemini 3 last year, although it seems to be a bit more colorful and more graphics-heavy. When Google introduced that feature, there was a lot of excitement around it, but it doesn’t really appear to have differentiated Gemini as a chatbot all that much.

There may be other considerations, too. OpenAI didn’t say if the Intelligent UI would mean higher token consumption, but that does appear to be the case with all of those extra elements being generated, so that’s something users might want to watch out for. It’s also not clear how susceptible these visual elements may be to the problem that plagues every AI chatbot, namely hallucinations.

OpenAI, however, seems to be pushing for AI to become more visually appealing. Earlier this week, the company revealed it would soon introduce the first image-based ads in ChatGPT’s responses. More cynical users might think that the Intelligent UI may make it more difficult to see which responses are ads and which are the chatbots own. Regardless, ads are almost certainly going to become a part of every AI chatbot at some point.

OpenAI said the Intelligent UI is being made available from today for ChatGPT Plus, Pro, Business and Enterprise subscribers, though in the latter case, the workplace administrator will need to enable it. Free users and Go subscribers will get access to it tomorrow.

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Models & Labs · United States

Pollo AI turns creative ideas into campaigns with OpenAI

Credited to OpenAI · openai.com · 6h ago

With GPT‑5.6, GPT‑6 Astra, and GPT‑Image‑2.5, Pollo AI helps creators turn bold ideas into detailed images and cinematic video ads.

“We want to do for video what Canva did for design. We want to make it easy enough that more people can actually use it, not just the ones who already know how,” explains Bill Zhu, the founder and CEO of Pollo AI. Today, Pollo AI serves more than 26 million users who use the platform to create videos, ads, and visual content.

“As OpenAI’s models have improved, more of the workflows Pollo wanted to support have become practical inside the product. That means users can start from simpler inputs, spend less time figuring out the process, and get to stronger outputs more reliably.”

The team’s first breakthrough was video templates. Now, 30% of creator sessions start from these templates or trending-format workflows. Building on this success, the company’s latest offering is Pollo Agent. It uses OpenAI models, including GPT‑6 Astra and GPT‑Image‑2.5, to provide a fully guided workflow for video creation, including this post-apocalyptic adventure from a Pollo AI user.

Turning the user’s creative intent into finished content

Pollo Agent interprets the user’s rough ideas and visual references, and then develops storylines, scene flows, and scripts. CTO Peter Zhou says OpenAI models stood out for their ability to understand ambiguous creative inputs and their multimodal capability, sharing: “GPT‑5.6 performed especially well there.” The team also said they value the OpenAI API’s stability and release cadence.

To balance reasoning depth, speed, and cost, Pollo AI uses GPT‑5.6 for routing and GPT‑6 Astra for more challenging work, such as developing a narrative or planning scene revisions. This model mix lets the system match the level of reasoning to the task based on the user’s prompt. Pollo AI reports that users spend more than 50% less time choosing or switching models, giving them more time for creativity.

Pollo AI tests generative models against real user prompts and workflows, evaluating output quality, consistency, stylistic range, speed, and cost. GPT‑Image‑2.5 was selected to handle image generation, helping creators make posters, storyboards, and campaign visuals.

“If we receive any task from a user to generate an image, we always use GPT-Image-2.5. It’s especially good at working with different types of characters and letters.”

Converting product photos into videos

Pollo AI’s primary users are content creators, and the platform is especially popular for creating micro dramas with both AI and human actors. However, more marketers and business owners are starting to use Pollo AI to develop video content quickly and easily too.

Pollo’s Photo to Video Ads tool in its Marketing Studio suite uses OpenAI models to turn a still image and prompt into a short video. It’s designed to help small businesses and DTC brands generate product ads for social media in minutes rather than days.

One Pollo AI user wanted to use a product photo to make a fragrance ad that felt luxurious. The static photo alone could not convey that mood, and a professional video shoot was beyond their budget.

Using Photo to Video Ad, the user turned their starting image into a roughly 15-second video ad. The tool generated velvet textures, warm spotlights, and close-ups of the bottle to establish the mood across the sequence and ended it with the fragrance framed against deep red fabric.

Creating a luxury campaign with GPT‑Image‑2.5

Another customer, a jewelry brand, wanted a bold editorial campaign image, but its budget could not stretch to a high-concept studio shoot.

Using Pollo Agent and GPT‑Image‑2.5, the brand was able to turn its creative vision of its statement jewelry on a model seated beside a cheetah into reality. The tool framed the scene with dark drapery and warm lighting and ensured that the brand’s jewelry products were highly visible.

The customer got a finished luxury campaign visual with lower production effort, time, and cost compared to live shoot.

Turning product shots into magical worlds

Pollo AI also makes it easy for customers to start with a product photo and leverage OpenAI models to turn it into an image that’s far more creative. For example, a beverage brand wanted its peach soda to feel playful and imaginative in an advertising campaign, but a standard studio product shot could not capture what the team had in mind.

Using Pollo Agent and GPT‑Image‑2.5, which brings sharper details and faster generation to creative workflows, the team transformed a simple bottle image into a snowy miniature landscape, complete with a train, lizards, and sparkling droplets. The finished image created a playful scene the brand could use in its campaign.

What’s next for AI video

Pollo wants AI video to become part of everyday content creation over the next 12 months. For Zhu, that depends on making it even easier to turn an idea into an asset ready to post, test, or use in a campaign, something Pollo AI is enabled to deliver with the continued improvement of OpenAI models and image generation.

“We think the AI shift in content creation will favor products that make creation more repeatable from the start, with stronger formats, less trial and error, and a simpler workflow around the models themselves,” he says.

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