Evaluate AI architectures using LeCun's JEPA and EBM frameworks.
npx skills add https://github.com/K-Dense-AI/mimeographs --skill yann-lecun
Please help me install this Agent Skill. Skill: yann-lecun Source: https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/yann-lecun Command: npx skills add https://github.com/K-Dense-AI/mimeographs --skill yann-lecun
This skill channels Yann LeCun's physics-grounded AI framework to help engineers and researchers reason about architecture choices, AI safety, and open-source strategy.
Provide an architecture review aligning design choices with LeCun's JEPA and EBM frameworks and back each claim with the corresponding references.
High-intent search queries and answers about installing and using this skill.
Evaluating AI architectures with JEPA and Energy-Based Models requires checking physical grounding, abstract representations, and self-supervised learning principles. This skill anchors architecture reviews to LeCun's objective-driven safety frameworks and references.
Large language models lack physical grounding and abstract representations for autonomous planning. This skill applies LeCun's world-model approaches to debate LLM limitations and evaluate objective-driven alternatives.
Self-supervised learning enables autonomous agents to build robust world models without explicit labels. This skill channels LeCun's JEPA framework to design agents using energy-based learning and abstract predictive representations.
Objective-driven safety suits autonomous AI design when physical grounding and open-source strategy matter. This skill enforces LeCun's anti-doomerism principles to debate AI policy and promote global sovereignty.
Yes, debating open-source AI policy is supported through LeCun's anti-doomerism and global sovereignty principles. This skill anchors policy arguments to references emphasizing open-source strategy over closed models.
Designing autonomous AI with physical grounding requires applying JEPA and Energy-Based Models for abstract representations. This skill enforces LeCun's principles to review architectures and ensure objective-driven safety.
loganand612Solicit user input and feedback through a graphical user interface.
secondskyTrain machine learning models with scikit-learn, PyTorch, and TensorFlow.
sovr610Train V-JEPA 2 models with EMA target encoder and checkpointing.
Ethical-AI-SyndicateTracks AI-specific risks across model, data, operational, ethical, and strategic domains.
