Mastodon is an even better substrate for weird bots, because you don't need to ask for forgiveness or permission to get them up and running May a million weird bots flourish!
AGENTS
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Cohere Thanksgiving Hackathon: Build AI for Social Good
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Cohere x Lablab Hackathon: A Thanksgiving Special Get inspired by Thanksgiving! We encourage you to reflect on what you are thankful for and build something that will benefit and support those around you. Let's give back together! https://
lablab.ai/event/cohere-t
hanksgiving-hackathon
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Simulation Environments with Thermodynamics for RL Research
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Question: Can anyone recommend simulation environments for AI research where the second law of thermodynamics applies? It feels like this is needed to avoid collapse of some RL exploration strategies and intrinsic motivation. https://
flip.it/SodkpS -
Command Beta: New Zero-Shot AI Command Capability Released
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Command Beta now available → a new capability that responds to single-sentence commands (i.e., zero-shot prompts). We have some sample shots to get you started → https://
hubs.li/Q01rQq1q0. Sign up to try it out → https://
hubs.li/Q01rQfsR0 -
ReAct: Synergizing Reasoning and Acting in Language Models
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Learn how ReAct, a general paradigm for synergizing reasoning and acting in language models, presents more interpretable, diagnosable, and controllable task-solving trajectories while outperforming reasoning and acting only paradigms. Read the blog → https://
goo.gle/3TiNcDp -
Inspiration from Ajeya Cotra’s Sandwiching Concept in Research
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This paper was heavily inspired by prior work, especially Ajeya Cotra's 'sandwiching' concept:
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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