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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OpenAI has signed a $38 billion multi-year deal with Amazon Web Services (AWS) to run and expand its AI models using AWS infrastructure. The partnership includes access to AWS UltraServers powered by hundreds of thousands of NVIDIA GPUs and scalable CPUs. The agreement runs through at least 2026, with extension options. OpenAI's flagship models, such as GPT-5, will remain exclusive to Microsoft Azure and OpenAI's own platform, except for its open-source models.

via X

The AWS deal adds to a string of recent partnerships by OpenAI: with Nvidia and Broadcom for at least 10 gigawatts of compute each, AMD for up to 6 gigawatts, and Oracle for 4.5 gigawatts.

AI in practice
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Udio, an AI music startup, recently reached a settlement with Universal Music Group. While the agreement ends an ongoing copyright lawsuit, it also brought sweeping new restrictions that have angered many users. Songs generated with Udio can no longer be downloaded, streamed, or used in personal projects.

On platforms like Reddit and Discord, frustrated users have voiced their anger and announced plans to leave Udio altogether. During an online meeting, Udio CEO Andrew Sanchez offered free credits as compensation but stopped short of promising any policy changes. Looking ahead, Udio and Universal plan to launch a paid music service next year that will feature fully licensed material.

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OpenAI is piloting Aardvark, a security tool built on GPT-5 that scans software code for vulnerabilities. The system is designed to work like a security analyst: it reviews code repositories, flags potential risks, tests whether vulnerabilities can be exploited in a sandbox, and suggests fixes.

In internal tests, OpenAI says Aardvark found 92 percent of known and intentionally added vulnerabilities. The tool has also been used on open source projects, where it identified several issues that later received CVE (Common Vulnerabilities and Exposures) numbers.

Aardvark's workflow: GPT-5 scans code, tests for vulnerabilities, and suggests fixes. | Image: OpenAI

Aardvark is already in use on some internal systems and with selected partners. For now, it's available only in a closed beta, and developers can apply here. Anthropic offers a similar open source tool for its Claude model.

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AI in practice
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OpenAI has launched gpt-oss-safeguard, a new set of open source models built for flexible security classification. The models come in two sizes, 120b and 20b, and are available under the Apache 2.0 license for anyone to use and modify. Unlike traditional classifiers that need to be retrained whenever safety rules change, these models can interpret policies in real time, according to OpenAI. This lets organizations update their rules instantly, without retraining the model.

The models are designed to be more transparent as well. Developers can see exactly how the models make decisions, making it easier to understand and audit how security is enforced. gpt-oss-safeguard is based on OpenAI's gpt-oss open source model and is part of a larger collaboration with ROOST, an open source platform focused on building tools and infrastructure for AI safety, security, and governance.

AI in practice
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Bill Gates recently compared the current wave of excitement around AI to the dot-com bubble, while making it clear this isn't just hype. In a CNBC interview, Gates said companies are pouring huge sums into chips and data centers, even though most haven't turned a profit from AI yet. He expects some of these bets will end up as costly failures. Still, Gates calls AI "the biggest technical thing ever in my lifetime," describing its economic potential as enormous. At the same time, he cautions that the surge in new data centers could drive up electricity costs.

Gates isn't alone in his concerns. Other industry leaders, including OpenAI CEO Sam Altman and AI researchers like Stuart Russell and Yann LeCun, have recently warned that the current AI boom could end with a crash if expectations get too far ahead of real progress.

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OpenAI has rolled out new features for its Sora video generator. Users can now add custom characters - like pets, drawings, or fantasy figures - as “cameos” in their videos and give them names. These characters can be saved, reused in new projects, and optionally shared with others.

To mark the launch, Sora includes a Halloween pack featuring five preset characters: Dracula, Frankenstein, a ghost, a witch, and a pumpkin head. Another upgrade, lets users connect multiple clips to create longer, continuous stories. A new leaderboard in the search section also highlights the most used and edited cameos across the platform.

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AI research

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AI and society

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