The Manhattan Project of AI will be building a complete robot brain. The testbed will be a complete robot city.
SYSTEMS
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Scaling Prompt Optimization: Systems, Theory, and Benchmarks Needed
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probably 10x more people should be working on prompt optimization systems (we need a vLLM for promptopt), theory, new techniques, benchmarks. the whole kit and caboodle
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Context Window Performance and RAM Requirements for AI Models
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60 tokens a second, context window is supposedly up to 262,144 but that will use a ton more RAM, probably more than my Mac can handle (I've not tried though)
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The Rise of Unnecessarily Intelligent Everyday Objects
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Are you ready for every little object in your life to be annoyingly intelligent? E.g., relationship advice from your bathroom scale?
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Neuromorphic Computing Framework: Scaling Time, Space, Energy
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Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling Aimone et al.: https://
arxiv.org/abs/2507.17886 #ArtificialIntelligence #DeepLearning #MachineLearning -
Simulation trains autonomous vehicles for rare safety scenarios
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Simulation and synthetic data help AVs train for rare events—like a helicopter landing on the road. Safety starts in a virtual space. Porsche uses high-fidelity simulation to test what’s too rare or risky to capture in the real world.
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AI Alignment: Ontological Assumptions Shape Chatbot Worldviews
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A new study argues that AI alignment is not just about human values, but a deeper exploration of ontological assumptions built into system architectures. Here, scholars make the case for considering ontology in AI design: https://
hai.stanford.edu/news/when-ai-i
magines-a-tree-how-your-chatbots-worldview-shapes-your-thinking
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AI Early Warning System Prevents Student Dropouts in Gujarat
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Instead of reacting to student dropouts, we're preventing them. In Gujarat, our Early Warning System with @EduMinOfGujarat & @UNICEFIndia proactively identifies and supports students at risk. Discover the story behind the system
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Model-Driven vs System Prompts: Tool Planning Approaches
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Is "model driven" different from a system prompt that says "plan which tools to use"?