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.

AI in practice

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI in practice

OpenAI launches GPT-5 as a unified system with adaptive reasoning for complex tasks

AI in practice

OpenAI releases its first open-weight language models since GPT-2 with GPT-oss

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AI in practice
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Google is expanding its AI-powered search mode to more than 35 new languages and over 40 additional countries and regions, including much of Europe. The global rollout is expected to finish within a week, bringing the feature to more than 200 countries worldwide. In this mode, users tend to ask much longer and more complex questions than in traditional searches, making the experience feel more like ChatGPT than classic Google Search.

While familiar risks like potential hallucinations remain, the new mode promises a noticeably improved search experience with more precise answers and less SEO clutter. But for the broader web ecosystem, this marks a troubling shift: Google is evolving into an “omni-publisher” that keeps users inside its own platform. As links receive fewer clicks, publishers are left struggling with declining traffic and ad revenue.

AI in practice
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Elevenlabs has released ElevenLabs UI, an open-source library featuring 22 components designed for speech and audio applications. According to the company, the toolkit makes it easy to build user interfaces for chatbots, transcription tools, music projects, or voice agents. All components are fully customizable and distributed under the MIT license, based on the shadcn/ui framework.

Examples include "transcriber-01," a dictation module for web apps, and "voice-chat-03," a chat interface with built-in state management. Additional modules like audio players, conversation bars, and interactive visualizations are also available on the project website.

Developers can freely use, modify, and integrate the source code into their own projects.

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Microsoft unveiled several new multimodal AI models for Azure AI Foundry at OpenAI DevDay in October 2025. The update includes GPT-image-1-mini, GPT-realtime-mini, and GPT-audio-mini, along with security improvements for GPT-5-chat-latest and the analytics model GPT-5-pro. The new models are designed to help developers build AI applications for text, image, audio, and video faster and at lower cost.

The Microsoft Agent Framework, an open-source SDK for coordinating multiple AI agents, is now available, as is OpenAI's new Agent SDK.

AI in practice
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OpenAI is adding new controls to its Sora video app. According to Sora head Bill Peebles, users can now decide where AI-generated versions of themselves can appear - for example, blocking political content or banning certain words. Users can also set style guidelines for their digital likeness. These updates come in response to criticism over abusive deepfakes on the platform. Peebles also announced that Sora will soon officially support cameos featuring copyrighted characters. Recently, CEO Sam Altman said rights holders should have "more control" and will soon receive a share of Sora's revenue.

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Anthropic sees growing potential for language models in cybersecurity. The company cites results from the CyberGym leaderboard: Claude Sonnet 4 uncovers new software vulnerabilities about 2 percent of the time, while Sonnet 4.5 increases that rate to 5 percent. In repeated tests, Sonnet 4.5 finds new vulnerabilities in more than a third of projects.

Image: Anthropic

In a recent DARPA AI Cyber Challenge, Anthropic notes that teams used large language models like Claude "to build 'cyber reasoning systems' that examined millions of lines of code for vulnerabilities to patch." Anthropic calls this a possible "inflection point for AI’s impact on cybersecurity."

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Meta's top AI researcher, Yann LeCun, is reportedly at odds with the company over new publication guidelines for its FAIR research division. According to six people familiar with the matter, FAIR projects now need stricter internal review before release - a shift some employees say limits their scientific freedom. LeCun even considered stepping down in September, The Information reports, partly in response to Shengjia Zhao being named chief scientist for Meta's superintelligence labs.

The dispute comes as Meta reshapes its AI organization. LeCun, who has openly rejected the current large language model (LLM) paradigm, is pushing for new directions in AI. He has also positioned himself against Donald Trump, while CEO Mark Zuckerberg has been more willing to align with the Trump administration.

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AI and society
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OpenAI and Microsoft call AGI pointless, then make it the linchpin of billion-dollar deals

AI in practice

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI and society

OpenAI restructures under new foundation, Microsoft takes 27 percent stake

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