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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Elon Musk's X.ai may have purchased or leased the AI.com domain, which was previously linked to OpenAI's ChatGPT. It's now linked to xAI, Musk's nascent AI organization with the goal of "understanding the true nature of the universe," which has yet to show anything substantial.

It's unclear why the switch happened; whether it was a bidding war or a change of heart remains unknown. The most likely scenario seems to be that the domain owner sold the redirect first to OpenAI and now to xAI. It doesn't seem to have been sold to OpenAI in the first place, because it's rather unlikely that OpenAI would sell the domain to Elon Musk's company, given the history of Musk and OpenAI.

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AI in practice
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Alibaba's cloud computing unit has released two open-source AI models, Qwen-7B and Qwen-7B-Chat, marking the first time a major Chinese tech company has open-sourced its large language models. Aimed at helping small and medium-sized enterprises leverage AI, the models' code, weights, and documentation will be freely available to the global research community and commercial institutions. However, companies with more than 100 million monthly active users will need a license from Alibaba to use the models.

Alibaba launched its closed-source GPT-4 competitor Tongyi Qianwen in April and its DALL-E and Midjourney competitor Tongyi Wanxiang in July.

AI in practice
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ChatGPT now provides contextual questions and answers in each chat, as well as suggestions for starting a new chat on various topics, such as "Explain airplane turbulence". The questions and answers are displayed above the chat box and relate to the content already generated. This is similar to the suggestions that Microsoft displays in the Bing chatbot.

No official information about the new feature has been released by OpenAI yet.

ChatGPT generates contextual questions. | Image: THE DECODER
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AI in practice
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Germany-based DeepL has installed an NVIDIA DGX SuperPOD to expand its LLM capabilities. Located in a Swedish data center, it is the "first commercial deployment of this scale in Europe," according to the company. Benchmarking showed a performance of 21.85 PFlop/s, which would rank it 26th in the world and eighth in Europe. The NVIDIA DGX SuperPOD, consisting of 68 NVIDIA DGX H100 systems, will help DeepL to train large language models faster and develop new AI communication tools for the global market.

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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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