"system 2 as iterated system 1 with a self-consistency guarantee" is something I considered a few years ago as one of two hypotheses, and it led me to an interesting potential interpretation of consciousness — consciousness is the consistency guarantee. It explains why all
AGENTS
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Abacus AI ChatLLM: Data Science Co-Pilot for ML Workflows
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The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
— Kirk Borne (@KirkDBorne) 8 décembre 2024
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production
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>=> an incredible aid to #DataScientists pic.twitter.com/fNHUrzhjZqThe future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production >=> an incredible aid to #DataScientists -
DataLab: LLM-Powered Business Intelligence Platform with Agent Automation
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9). DataLab – a unified business intelligence platform powered by LLM-based agents that integrates task planning, reasoning, and computational notebooks to streamline the entire BI workflow.
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Challenges in Human-Agent Communication: Establishing Common Ground
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7). Challenges in Human-Agent Communication – present a comprehensive analysis of key challenges in human-agent communication, focusing on how humans and AI agents can effectively establish common ground and mutual understanding. https://
microsoft.com/en-us/research
/uploads/prod/2024/12/HCAI_Agents.pdf
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ALAMA: Framework for Language Agents Learning Mechanisms
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4). ALAMA – a new framework that helps language agents automatically learn when to use different mechanisms (ReAct, CoT, Reflection, etc.) for automatically completing tasks, improving on current approaches that use fixed or predefined mechanisms.
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Genie 2: Foundation Model Generates Playable 3D AI Training Environments
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2). Genie 2 – a foundation world model that generates playable 3D environments from single prompt images, enabling endless training scenarios for AI agents with features like physics simulation, character animation, and object interactions…https://t.co/OvKvtfJLVz
— DAIR.AI (@dair_ai) 8 décembre 20242). Genie 2 – a foundation world model that generates playable 3D environments from single prompt images, enabling endless training scenarios for AI agents with features like physics simulation, character animation, and object interactions…
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Optimizing Your Role in the Techno-Capital ASI Machine
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Since the techno-capital machine itself is an ASI, what do you do to optimize your role in that?
– Double down on trust-based networking, in person when you can
– Realize X is becoming the way we connect the human component of this ASI.
– Find and join the e/acc community on X -
ASI Already Here: Stop Waiting for Frontier Models
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Dwell on this for a moment. The implications are staggering. ASI is not going to arise out of some frontier model. It is here now. Use it!
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Chain-of-thought summary and AI categories
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The CoT summary mostly what you’d expect — pages and pages of ideation about plausible nicknames and letter cycles, often nonsensically meandering. This is from the middle — imagine like 100 more pages of this stuff:
