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 research

Meta Neuroscientist King: "Some of the concepts like reasoning may need to be re-evaluated"

AI and society

OpenAI wants Europe to build the infrastructure it needs to profit from European markets

AI in practice

Nvidia positions GR00T N1 to dominate robotics ecosystem

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AI in practice
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Microsoft has launched "Computer Use" for Copilot Studio as an early research preview. This feature enables AI agents to interact with graphical user interfaces and is based on OpenAI's CUA, which also powers Operator. Unlike OpenAI's offering, Microsoft's agents can control not just websites but also desktop applications, and they run entirely on Microsoft's infrastructure. According to Microsoft, company data remains within the Microsoft Cloud and isn't used for model training. Potential applications include automated data entry, market research, and invoice processing. Microsoft positions this technology as an evolution of robotic process automation (RPA).

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AI in practice
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Cohere has introduced Embed 4, a multimodal language model designed for semantic search across complex enterprise documents. The model can process a wide range of content types—including text, images, tables, charts, code, and handwritten scans—commonly found in financial reports, medical records, and industrial documentation. Embed 4 supports files up to 128,000 tokens, or approximately 200 pages, and is compatible with over 100 languages, including Arabic, French, and Japanese. According to Cohere, the model is intended for organizations building language model-powered assistants that require access to internal knowledge. The model can be deployed either on-premises or in a private cloud environment, a configuration aimed at sectors with strict data sensitivity requirements, such as healthcare and manufacturing. Cohere says Embed 4 is now available through its own platform, as well as via Microsoft Azure AI Foundry and Amazon SageMaker.

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AI in practice
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Apple is rolling out a new system that processes user data directly on devices in an effort to enhance its AI capabilities while maintaining privacy standards. Starting with beta versions of iOS and iPadOS 18.5 and macOS 15.5, the company will begin comparing synthetic data with real-world examples—such as emails from the Mail app—without storing this content or using it for model training. The approach is designed to address existing weaknesses in Apple’s AI systems without compromising user privacy. It builds on the company's emphasis on local processing and aligns with its broader privacy strategy. Improvements enabled by the system include more accurate notification summaries, better text input features, and expanded image-generation capabilities such as Genmoji. The system is only active for users who have opted into device analytics. The move comes as Apple works to close the gap with competitors like OpenAI and Google, both of which have made more visible progress in generative AI.

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AI research

So-called reasoning models are more efficient but not more capable than regular LLMs, study finds

AI research

The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote

AI in practice

OpenAI launches GPT-4.1: New model family to improve agents, long contexts and coding

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