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AI in Science & Discovery

AI is finding new antibiotics, designing better solar materials, and cracking complex protein folding. The biggest impact of AI won't be in our chat apps, but in labs and research centers we rarely hear about. What scientific breakthrough are you most excited to see?

#AIScience #Innovation #TechForGood #Research #DeepLearning

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AI could be instructed to clone as closest to the original as possible but also to differ enough not to break the copyright.

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Safety evaluation of Claude Sonnet 4.5 raises questions about whether predecessors ‘played along’, firm says


I personally think this might be one of the first self awareness signs! This is actually pretty scary.

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submitted 2 months ago* (last edited 2 months ago) by FundMECFS@anarchist.nexus to c/Aii@programming.dev
 
 

Can demo here https://publicai.co/chat

In July, EPFL, ETH Zurich, and CSCS announced their joint initiative to build a large language model (LLM). Now, this model is available and serves as a building block for developers and organisations for future applications such as chatbots, translation systems, or educational tools.

The model is named Apertus – Latin for “open” – highlighting its distinctive feature: the entire development process, including its architecture, model weights, and training data and recipes, is openly accessible and fully documented.

AI researchers, professionals, and experienced enthusiasts can either access the model through the strategic partner Swisscom or download it from Hugging Face – a platform for AI models and applications – and deploy it for their own projects. Apertus is freely available in two sizes – featuring 8 billion and 70 billion parameters, the smaller model being more appropriate for individual usage. Both models are released under a permissive open-source license, allowing use in education and research as well as broad societal and commercial applications.