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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Nvidia, the world's most valuable chipmaker, has become one of the leading investors in AI start-ups this year, having invested in over two dozen companies. According to Dealroom, Nvidia participated in 35 deals in 2023, nearly six times more than last year, making it the most active large-scale investor in AI. Nvidia's investments total $872 million, over ten times its investment in the same period last year, the Financial Times reports. The companies Nvidia invests in all use its technology, with its portfolio now including Inflection AI, Cohere, Hugging Face, and CoreWeave. Nvidia's latest investment was in Paris-based AI start-up Mistral.

AI in practice
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YouTuber "Greg Technology" has recreated Google's discredited multimodal Gemini AI demo using OpenAI's GPT-4 Vision to demonstrate real-time voice and vision prompts. The original Gemini AI demo video, which was criticized for being staged and not recorded in real-time, featured voice interactions that were later dubbed in. In response, Greg Technology released a video using GPT-4V in which he discussed a drawing, asked about emoticons, and had the AI identify a game. It's not as polished as Google's demo, of course, but it's real-time and real. Greg has published his demo code on GitHub.

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AI in practice
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Google's internal proposal, "Project Ellmann," aims to use AI to provide users with a comprehensive view of their life stories, using mobile data like photos and searches. The project plans to utilize Google's latest AI model, Gemini, to analyze search results, identify patterns in user photos, and create a chatbot to answer complex questions about a user's life. The proposed system could provide deeper context to photos, identify significant life moments, and even infer events like a child's birth. The project also includes "Ellmann Chat," a chatbot that already knows details about the user's life. The project was presented at a recent internal summit, but it's unclear if it will be integrated into Google Photos or another product. Google told The Verge that Ellmann was an early internal experiment.

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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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