This paper was heavily inspired by prior work, especially Ajeya Cotra's 'sandwiching' concept:
AGENTS
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Leveraging Model Capabilities While Maintaining Supervisory Control
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This is tricky: To do this, we’ll need ways for the human who’s supervising the model to use any relevant knowledge or skills that the model already has, even though they can’t trust the model to be reliably helpful.
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Scalable Oversight: Supervising AI Systems Beyond Human Capabilities
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To ensure that AI systems remain safe as they start to exceed human capabilities, we’ll need to develop techniques for scalable oversight: the problem of supervising systems’ behavior without assuming that the overseer understands the task better than the system being trained.
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Path to Autonomous Learners in Deep Learning Research
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The Path to Autonomous Learners Hanna Abi Akl : https://
arxiv.org/abs/2211.02403 #ArtificialIntelligence #DeepLearning #MachineLearning -
Would You Trust a Robot Chef to Cook Your Meals?
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Would you let a robot chef cook for you? 🤖 🍲 👨🍳
— Bernard Marr (@BernardMarr) 7 novembre 2022
📽️ @gigadgets_ pic.twitter.com/6MJapxLbJRWould you let a robot chef cook for you? @gigadgets_
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Prompt Engineering for AI Agents: Step-by-Step Operation Sequencing
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The game is “least to most” — have it write out the most mechanical, reliably performed operations first. Then gradually move up to more interpretive and analytical steps, so it’s never asked to do anything multi-step in its head. The prompt should feel like an income tax form.
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AGI Token Launch: Nodes Meet Agents for Economic Value
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$AGI : AGI Token AGI Agents will likely generate transformative economic value: AGI Nodes X AGI Agents = AGI Token ($AGI) Hence, we’re preparing a new international organization and the AGI Token : $AGI http://
MONTREAL.AI: Winning the #AGI Race #AGI #MontrealAI -
AI Agents Presentation: Nodes and Tokens Framework
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Here's another presentation: https://
montreal.ai/aiagents.pdf #AIAgent #AINode #AIToken -
Scaling Laws for Multi-Agent Reinforcement Learning
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Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann, Claudius Gros : https://
arxiv.org/abs/2210.00849 #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
AGI Nodes Agents Token Generate Unprecedented Value
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$AGI AGI Nodes X AGI Agents X AGI Token ($AGI) “The combination of the #AGINode, the #AGIAgent and the #AGIToken could generate unprecedented value.” — Vincent Boucher, President of http://
MONTREAL.AI http://
MONTREAL.AI: Winning the #AGI Race #AGI #MontrealAI