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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Anthropic, the AI startup co-founded by former OpenAI leaders, has released an updated version of its text generation model, Claude Instant 1.2, available through its API.

It boasts improved performance in areas such as math, coding, reasoning, and security, with better resistance to jailbreaking and hallucination. Claude Instant 1.2 aims to compete with entry-level offerings from OpenAI, Cohere, and AI21 Labs. However, it's less powerful than Claude 2, which is on par with OpenAI's GPT-3.5, according to a newly released chatbot benchmark.

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AI in practice
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Runway's Gen-2 text/image-to-video model can now generate videos up to 18 seconds long. Previously it was only 4 seconds. The update is now available to all Runway Gen-2 users in the browser version and will be coming to the iOS app soon. See the following 18-second epic of red-bearded guys doing stuff on the streets of Japan. Any resemblance to living editors of this site is purely coincidental.

It looks like Runway is going full speed ahead with AI video, the start-up just released a major quality update for Gen-2 at the end of July.

AI in practice
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China's internet giants Baidu, ByteDance, Tencent, and Alibaba have reportedly ordered $5bn worth of Nvidia chips crucial for developing generative AI systems. The companies plan to purchase 100,000 A800 processors this year and more GPUs in 2024. Nvidia is offering these processors in China to comply with export control regulations after U.S. officials demanded a halt to exports of the company's top computer chips for AI-related work in the country. The news comes after President Biden signed an executive order limiting U.S. investment in China's sensitive technology sectors.

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AI research

Gemini 3 Pro tops new AI reliability benchmark, but hallucination rates remain high

AI research

Researchers push "Context Engineering 2.0" as the road to lifelong AI memory

AI and society

German court deepens the split on AI and copyright with its latest ruling

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