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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Nvidia has stopped producing H20 and 700,000 AI chips intended for China are now sitting idle.

After a temporary green light from the US government, Nvidia had promised Chinese customers about 700,000 H20 AI chips. These chips are stripped-down versions designed to meet US export rules, making them legal for the Chinese market. Now, a new directive from Beijing is forcing local companies to stop buying Nvidia chips over security concerns. As a result, thousands of finished chip dies are sitting unused at Amkor, a US-based packaging partner. The supply chain has ground to a halt, even though Washington and Nvidia had already reached a political agreement. The situation highlights how AI hardware is increasingly caught in the middle of geopolitical tensions. Earlier reports suggested the US is adding tracking chips to AI hardware bound for China.

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ElevenLabs has released Eleven v3 (alpha), an updated text-to-speech model now available through the API. The new version adds more expressive options, additional controls, and support for over 70 languages. Key changes include a dialog mode that can handle any number of speakers and new audio tags for controlling emotion and voice.

Video: Elevenlabs

The Eleven v3 (alpha) API works with a free account, though some features may require payment. Technical details and examples are in the official documentation. New users can register for free.

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OpenAI hit $1 billion in monthly revenue for the first time in July, CFO Sarah Friar told CNBC. The company expects to triple its annual revenue to $12.7 billion in 2025, according to earlier statements. By June, OpenAI had already reached an annualized revenue run rate of $10 billion. Most of this growth comes from paid ChatGPT subscriptions, especially since the launch of the new GPT-5 model. Despite some early criticism of the new model, Friar says OpenAI is seeing rising numbers of Plus and Pro subscribers. The surge in demand is putting pressure on technical resources - the company’s need for computing power now exceeds what’s available. Last week, CEO Sam Altman said OpenAI plans to invest in new data centers, with spending expected to run into the trillions.

AI in practice
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Yann LeCun, Meta's AI icon and longtime head of the FAIR research group, will now report to 28-year-old Alexandr Wang. Wang, who founded Scale AI, was recently tapped to lead the new Meta Superintelligence Lab (MSL), which is focused on building superintelligent AI.

With this shake-up, Meta is shutting down its former AGI department. LeCun's FAIR will continue as the company's main research hub, developing new ideas that can later be used to train larger models.

Alongside FAIR, Meta is setting up three additional teams: a small group focused on large models (TBD Lab), a unit for product-focused research, and a central team for technical infrastructure. According to Wang's internal memo, the goal is to tightly link all these groups to accelerate Meta's research and development.

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After the rocky rollout of GPT-5, Sam Altman is trying to shift the narrative by focusing on GPT-6. While it took two and a half years to move from GPT-4 to GPT-5, OpenAI now wants to ship GPT-6 on a faster timeline. Altman says the big breakthrough will be memory: the next model should remember user preferences, habits, ideologies, and even tone of voice.

For now, ChatGPT remains OpenAI's main product for consumers. But Altman sees limits to how much further chat-based AI can go. "They won't get much better—maybe even worse," he told CNBC.

OpenAI's bet beyond chatbots is on agentic systems that can perform complex tasks over long periods of time. These systems aren't necessarily better small talkers, which is likely what Altman is getting at.

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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

AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

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