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

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

AI in practice

Google upgrades Gemini with Deep Think and flags early warning risks

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AI in practice
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Luma has released Ray2, its latest AI model for video generation. The new model has been scaled to 10 times the compute power of its predecessor and uses a new multimodal architecture. Luma says it's better at natural-looking movement and fine details, while maintaining consistency throughout each scene. Text-to-video generation is available to subscribers through Luma's Dream Machine platform, with image-to-video, video-to-video, and editing tools in upcoming releases. The company also plans to make Ray2 accessible through its API soon.

Video: Luma AI

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Synthesia, a company that helps businesses create AI-generated videos and avatars, just secured $180 million in Series D funding. Since its founding in 2017, the platform has grown to serve more than half of Fortune 100 companies, producing millions of minutes of AI-generated video content each month. The company plans to use its fresh funding to develop new features that combine AI avatars with large language models, along with rolling out a new video player. The company says these upgrades will allow customers to create more interactive and personalized video content.

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A new open source voice model called Kokoro just landed on HuggingFace, and early tests show it can generate voices that rival commercial services like Eleven Labs. The model packs 82 million parameters under the hood, and is on the first place in the TTS Spaces Arena. The model is trained on less than 100 hours of audio data, supporting just American and British English for now. Users can currently choose from 10 different voices. While the model shows promise, it does have its limitations. Unlike some commercial alternatives, it can't clone voices, and there aren't any plans to add support for other languages yet. For developers interested in using Kokoro, the inference code is available under an MIT license, while the model itself uses an Apache 2.0 license.

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French AI startup Mistral has released Codestral 25.01, an updated version of its code generation model. According to Mistral, the new model generates and completes code twice as fast as its predecessor while supporting over 80 programming languages. Benchmarks indicate that Codestral 25.01 outperforms other code models with fewer than 100 billion parameters on fill-in-the-middle tasks. It currently ranks second in LMsys' Copilot Arena, behind Sonnet 3.5 and Deepseek V2.5. Developers can access the model through Mistral AI's IDE partners and the APIs of Mistral, Google, Microsoft, and Amazon. For enterprise customers, the startup Continue offers local deployment options. A free trial of Codestral is available in VS Code or JetBrains.

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AI and society

Leading AI chatbots are now twice as likely to spread false information as last year, study finds

AI in practice

Anthropic confirms technical bugs after weeks of complaints about declining Claude code quality

AI and society

Anthropic settles landmark AI copyright lawsuit for at least $1.5 billion

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