Yeah I took it out for this version. It’s now just a custom Python loop w the three agents.
AI
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Building from Scratch vs Customizing Libraries in Development
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I seem I have an easier time building from ground up, vs customizing a library – felt like my code was becoming increasingly hard to read and inefficient.
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Alternatives to Langchain and ZapierNLA for AI Integration
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I’ve tried Langchain and ZapierNLA, any other suggestions?
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AI Video Creation Engine Transforms Ideas Into Content
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Have content and ideas, but no video?
— Yohei (@yoheinakajima) 2 avril 2023
Head to this AI video creation engine! By default it uses existing media from across the web, but you can generate them on the fly as well.
Idea to video in 1 min🎥 https://t.co/z9cFbeIylVHave content and ideas, but no video? Head to this AI video creation engine! By default it uses existing media from across the web, but you can generate them on the fly as well. Idea to video in 1 min
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Google Must Replace Management to Prove AI Commitment
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We’ll know Google is serious about AI when they fire the current management team.
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Generated Code Replacement and Program Decomposition Strategy
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Aha ok. As far as I know we are replacing the whole generated code, not parts of it. Decomposition of the program is one of our next steps, but I also think it’s much harder.
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Self-modifying AI agent code recursive implications
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No, I mean if the code of this agent/script is being recursively modified by itself?
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AutoGPTs Will Organize into Specialized Autonomous Organizations
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All of that is just one agent/thread. People coalesce into organizations so they can specialize and parallelize work towards shared goals. Imo this is likely to happen to AutoGPTs and for the same reasons, strung into AutoOrgs, with AutoCEO, AutoCFO, AutoICs, etc.
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GPT Calls as Thoughts: Building Agents with Reflection and Memory
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1 GPT call is a bit like 1 thought. Stringing them together in loops creates agents that can perceive, think, and act, their goals defined in English in prompts. For feedback / learning, one path is to have a "reflect" phase that evaluates outcomes, saves rollouts to memory,
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Is AI Really Recursively Self-Improving Its Own Code?
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Is it really recursively self-improving? So not just generating code, but also modifying its own code?