Author HubMaximilian Schreiner

Max is the managing editor of THE DECODER, bringing his background in philosophy to explore questions of consciousness and whether machines truly think or just pretend to.
AI and society

OpenAI restructures under new foundation, Microsoft takes 27 percent stake

AI research

OpenAI outperforms humans and Google at the world's top collegiate programming contest

AI in practice

New data from OpenAI and Anthropic show how people actually use ChatGPT and Claude

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AI in practice
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Gemini Live gets its biggest update yet. Google says its voice-based AI is now faster, more expressive, and capable of speaking with different accents. Users can also control the speed of its replies. The new update is also said to improve language learning and pronunciation practice.

The company first teased the update back in August during its Made by Google event.

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AI in practice
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Google is introducing a cloud-based system called Private AI Compute designed to protect user data during AI processing. Jay Yagnik, Google's Vice President of AI Innovation, said the technology runs tasks inside an isolated environment that no one - not even Google - can access.

The system uses Google's own TPUs along with Titanium Intelligence Enclaves for encrypted data handling, building on the company’s existing privacy and security framework.

Early applications appear on Pixel devices, including Magic Cue and the Recorder app, which now supports more languages. The goal is to let Gemini models deliver their full performance without exposing personal data. Google has also published a technical brief outlining the system's architecture and privacy safeguards.

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AI research
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Nvidia turns to synthetic data to tackle robotics’ biggest challenge: the lack of training data.

"We call this the big data gap in robotics," a Nvidia researcher said at the Physical AI and Robotics Day during GTC Washington. While large language models train on trillions of internet tokens, robot models like Nvidia’s GR00T have access to only a few million hours of teleoperation data, gathered through complex manual effort - and most of it is narrowly task-specific.

Nvidia’s answer is to rethink what it calls the "data pyramid for robotics." At the top sit real-world data - small in quantity and expensive to collect. In the middle lies synthetic data from simulation - theoretically limitless. At the base is unstructured web data. "When synthetic data surpasses the web-scale data, that's when robots can truly learn to become generalized for every task," the team states. With Cosmos and Isaac Sim, Nvidia aims to turn robotics’ data shortage into a compute challenge instead.

AI in practice
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Meta is bringing its AI video feed Vibes to Europe through the Meta AI app. Every clip on Vibes is generated by artificial intelligence - users can create short videos from text prompts, remix existing ones, add music, and adjust the visual style. Over time, the feed learns what users like and tailors its suggestions accordingly. Finished clips can be shared directly in the app or posted to Instagram and Facebook.

Vibes first launched in the U.S. in September 2025. The Meta AI app also includes the company’s AI assistant, plus tools for image editing and managing Meta’s AI glasses. By comparison, OpenAI has separated its own AI video experience into the standalone Sora app, which isn’t yet available in the EU.

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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

AI and society
Comment

OpenAI and Microsoft call AGI pointless, then make it the linchpin of billion-dollar deals

Google News