Evolution figured out how to get learning to produce hierarchical models for perception and planning.
It had to find a solution to the collapse problem. What you describe is "classical" reinforcement learning. We know that's way too inefficient.
MACHINE LEARNING
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Evolution Solves Hierarchical Learning Where Classical RL Fails
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HyperAgents: AI Research on Meta-Learning and Self-Improvement
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“HyperAgents” This paper shows that you can give an AI the ability to improve not just at a task, but at the way it improves itself. Similar to meta-learning, it learns better strategies for self-improvement, and the paper shows those strategies can transfer across domains
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LLM Agents Build Improve Reusable Skills Without Fine-Tuning
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"Memento-Skills: Let Agents Design Agents" This paper introduces an LLM agent that can build and improve its own reusable skills from experience without any fine-tuning. So rather than retraining bigger models, they give frozen models a self-improving memory that lets them
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Could a Master Algorithm Replace LLM-Based Intelligence?
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I still think that there might very well be a relatively concise master algorithm, rather than intelligence being the long tail of next token prediction. Perhaps the LLM can vibe code its successor?
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Love new things and simulated conversations with Elon Musk
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Yeah, slurp it all up. Everyone else did. 🙂 I love new things and the people who build them. Having an LLM simulate me and simulate a conversation with, say, Elon Musk, about any topic, is highly entertaining.
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Tesla AI better than rivals, user loyal for robotaxis
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And Tesla's AI is better than any of theirs. So I'll stick with Tesla as we head into a robotaxi world.
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Robotics companies: robot performance hinges on training data
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Every company in robotics tells me robots rise and fall based on the data they have to train them.
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AI Enhances Responses Using Past Conversations for Relevance
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Btw some of you might find this space interesting
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DeepImageSearch: New AI Agent Revolutionizes Visual Search
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Are your current image searches missing the full story behind what you're looking for? Researchers from Renmin University of China and OPPO Research Institute are pioneering a new approach to visual search. They introduce DeepImageSearch, a novel AI agent that treats image
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CIOs Need New Talent To Successfully Implement AI
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CIOs Need A New Kind Of Talent To Make #AI Work
by Fletcher Keister @Forbes Learn more: https://
bit.ly/3NRMws3 #ArtificialIntelligence #MachineLearning #ML