Hub AI in practice
Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.
What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.
OpenAI has launched gpt-oss-safeguard, a new set of open source models built for flexible security classification. The models come in two sizes, 120b and 20b, and are available under the Apache 2.0 license for anyone to use and modify. Unlike traditional classifiers that need to be retrained whenever safety rules change, these models can interpret policies in real time, according to OpenAI. This lets organizations update their rules instantly, without retraining the model.
The models are designed to be more transparent as well. Developers can see exactly how the models make decisions, making it easier to understand and audit how security is enforced. gpt-oss-safeguard is based on OpenAI's gpt-oss open source model and is part of a larger collaboration with ROOST, an open source platform focused on building tools and infrastructure for AI safety, security, and governance.
Bill Gates recently compared the current wave of excitement around AI to the dot-com bubble, while making it clear this isn't just hype. In a CNBC interview, Gates said companies are pouring huge sums into chips and data centers, even though most haven't turned a profit from AI yet. He expects some of these bets will end up as costly failures. Still, Gates calls AI "the biggest technical thing ever in my lifetime," describing its economic potential as enormous. At the same time, he cautions that the surge in new data centers could drive up electricity costs.
Gates isn't alone in his concerns. Other industry leaders, including OpenAI CEO Sam Altman and AI researchers like Stuart Russell and Yann LeCun, have recently warned that the current AI boom could end with a crash if expectations get too far ahead of real progress.
OpenAI has rolled out new features for its Sora video generator. Users can now add custom characters - like pets, drawings, or fantasy figures - as “cameos” in their videos and give them names. These characters can be saved, reused in new projects, and optionally shared with others.
Introducing character cameos, now available in the Sora app. pic.twitter.com/k1R4FdCRPV
- OpenAI (@OpenAI) October 29, 2025
To mark the launch, Sora includes a Halloween pack featuring five preset characters: Dracula, Frankenstein, a ghost, a witch, and a pumpkin head. Another upgrade, lets users connect multiple clips to create longer, continuous stories. A new leaderboard in the search section also highlights the most used and edited cameos across the platform.
Google has introduced a new AI app builder inside AI Studio, letting users create AI-powered applications with just a text prompt. This update puts Google on par with Microsoft, OpenAI, Anthropic, and others offering similar tools for building simple apps without coding.
One of the key features is deep integration with Google's multimodal Gemini models. Users can add image generation with the "Nano Banana" model or bring in Gemini’s voice synthesis capabilities directly into their apps. Design changes can be made visually on the app screen, with the option to guide edits using text instructions.
Developers can plug in their own API keys once they use up the free quota. The revamped app gallery offers templates and ideas to help users get started. For example, it took me just 15 minutes to build a simple "The Decoder" game that doesn't actually do anything.