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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Meta's head of AI research, Yann LeCun, says he expects Artificial General Intelligence (AGI) "clearly not in the next 5 years." The industry's focus on language alone is not enough, LeCun argued, in line with previous statements. LeCun has his own architectural approach to AI, which focuses on improving AI systems' understanding of the world. Before human-like intelligence, there would first be dog-like or cat-like intelligence, LeCun said.

Text is a very poor source of information. Train a system on the equivalent of 20,000 years of reading material, and they still don’t understand that if A is the same as B, then B is the same as A.

Yann LeCun

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AI in practice
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ByteDance, the Chinese company behind TikTok, is developing an open platform for users to create their own chatbots as it enters the generative AI market. The "bot development platform" is expected to launch as a public beta by the end of the month, according to an internal memo seen by SCMP. This comes amid a surge in demand for generative AI products and services, following the launch of ChatGPT last year. ByteDance is also reportedly working on a text-to-image generator similar to Midjourney. The move is part of the company's new strategic vision to integrate new generative AI products with existing ones. Other tech giants, including Baidu (Ernie Bot) and Alibaba (Tongyi Qianwen 2.0), have also launched similar services.

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Amazon's AI chatbot, Q, is reportedly experiencing "severe hallucinations" and leaking confidential data just days after it was announced. According to leaked internal documents obtained by Platformer, Q has revealed the location of AWS data centers, unreleased features, and internal discount programs. Employees have labeled the incident "sev 2," which requires urgent attention from engineers. Amazon is currently competing with Microsoft and Google in the generative AI market, and has touted its Q chatbot as more secure than consumer-grade tools like ChatGPT. An Amazon spokesperson said that no security issue has been identified and that the company will "continue to tune Q as it transitions from being a product in preview to being generally available."

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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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