The Future of RAG-Augmented Image Generation

Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a single, resource-intensive training session using a fixed dataset. Any concepts introduced after this training – referred to as the knowledge cut-off – are absent from the model unless supplemented through fine-tuning or external adaptation techniques like…

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3 Considerations for Safe and Reliable AI Agents for Enterprises

According to Gartner, 30% of GenAI projects will likely be abandoned after proof-of-concept by the end of 2025. Early adoption of GenAI revealed that most enterprises’ data infrastructure and governance practices weren’t ready for effective AI deployment. The first wave of GenAI productization faced considerable hurdles, with many organizations struggling to move beyond proof-of-concept stages…

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AI Just Simulated 500 Million Years of Evolution – And Created a New Protein!

Evolution has been fine-tuning life at the molecular level for billions of years. Proteins, the fundamental building blocks of life, have evolved through this process to perform various biological functions, from fighting infections to digesting food. These complex molecules comprise long chains of amino acids arranged in precise sequences that dictate their structure and function….

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Aligning AI with human values

Senior Audrey Lorvo is researching AI safety, which seeks to ensure increasingly intelligent AI models are reliable and can benefit humanity. The growing field focuses on technical challenges like robustness and AI alignment with human values, as well as societal concerns like transparency and accountability. Practitioners are also concerned with the potential existential risks associated with…

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The Real Power in AI is Power

The headlines tell one story: OpenAI, Meta, Google, and Anthropic are in an arms race to build the most powerful AI models. Every new release—from DeepSeek’s open-source model to the latest GPT update—is treated like AI’s next great leap into its destiny. The implication is clear: AI’s future belongs to whoever builds the best model….

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Introducing the MIT Generative AI Impact Consortium

From crafting complex code to revolutionizing the hiring process, generative artificial intelligence is reshaping industries faster than ever before — pushing the boundaries of creativity, productivity, and collaboration across countless domains. Enter the MIT Generative AI Impact Consortium, a collaboration between industry leaders and MIT’s top minds. As MIT President Sally Kornbluth highlighted last year, the…

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