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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Take-Two CEO Strauss Zelnick discussed the potential benefits of AI for the video game industry, particularly in enhancing non-player characters (NPCs) in games like Grand Theft Auto (GTA). In an interview at the Paley International Council Summit, Zelnick said that generative AI could add more variety to dialog trees, making NPCs more interesting and engaging. However, he did not confirm whether the upcoming GTA 6 will incorporate generative AI in any way. The game, with its abundance of NPCs in the game world, seems tailor-made for LLM experimentation. A developer recently demonstrated in a Matrix game how LLM-driven NPCs can better reach out to the player talking to them.

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AI in practice
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Intel is investing heavily in Stability AI, a leading developer of open-source AI, providing the startup with an AI supercomputer powered by high-end Xeon processors and more than 4,000 Gaudi2 AI processors. Stability AI, mainly known for its Stable Diffusion image generation software, recently raised nearly $50 million in funding, with Intel playing a significant role. The investment comes after a difficult period for Stability AI, marked by executive departures and internal disagreements. Despite these challenges, the company has refocused on research and development, reported a tenfold increase in revenue over the past year, and anticipates further growth with new product releases. The company recently released generative AI for 3D and text-to-audio, as well as a few LLMs.

AI in practice
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Google is in talks to invest hundreds of millions of dollars in AI chatbot startup Character.AI, according to Reuters sources. The investment could be structured as convertible notes and would deepen the existing partnership between the two companies, as Character.AI uses Google's cloud services and tensor processing units to train models. Discussions with Google are ongoing. Founded by former Google employees, Character.AI allows users to chat with virtual versions of celebrities or create their own chatbots and AI assistants. The startup is also in talks to raise equity funding from venture capital investors, potentially valuing the company at more than $5 billion.

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Mozilla has launched Fakespot Chat, its first large language model (LLM) AI chatbot, to help users identify fake and misleading product reviews while shopping online. Fakespot, which Mozilla acquired earlier this year, uses AI and machine learning to sort through product reviews and provide users with trustworthy information. The chatbot is available through Fakespot Analyzer or as a browser extension on Amazon.com. Keep in mind that the chatbot can be wrong, so if something seems fishy, you might want to double-check. Interestingly, Amazon itself is doing something similar in that it uses AI to take the gist of all the summaries for a master summary.

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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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