Agree. I’m trying to experiment more w perpetual objectives vs those with a closed end, so I think approach should be different than a novel. Though I still agree that task management needs an upgrade.
INNOVATION
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AI System Tackles Global Warming with Expanding Reasoning
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Tried the objective: fix global warming
— Yohei (@yoheinakajima) 2 avril 2023
Still really cool to see it perpetually expand its thinking on this one topic.https://t.co/rvrgwnAOMRTried the objective: fix global warming Still really cool to see it perpetually expand its thinking on this one topic.
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Breaking Down Complex Skills: Learning How to Learn
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Learning how to learn: a key skill of the future
— Pascal Bornet (@pascal_bornet) 2 avril 2023
Know how to backflip in an hour. Our brain works in a weird way, the same complex large task that seems impossible can be done by just breaking it down into smaller pieces
Credit: Bob Reese#skillsofthefuture #motivation #future pic.twitter.com/eys7Dh3Wg8Learning how to learn: a key skill of the future Know how to backflip in an hour. Our brain works in a weird way, the same complex large task that seems impossible can be done by just breaking it down into smaller pieces Credit: Bob Reese
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World Interaction as Key Learning and Evolution Method
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More or less, but being able to interact w the world is probably the best way to learn and evolve
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LangChain Zapier NLA Integration Improves Reliability
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for impressive, the langchain ZapierNLA connection allowed it to create a task list, search the web, and then write a report into google drive (though very unreliably) this version is not as impressive, but I can feel it becoming more stable 🙂
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Simplifying AI Agent Architecture with OpenAI Text-Completion
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Basically stripping it down to a barebones template only using OpenAI text-completion for all three task agents (execution, creation, prioritization). I think it makes sense to clean it up like this, and then add back on complexity – like Langchain, etc.
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Simplifying AI Agent Architecture by Removing Langchain Framework
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Taking a pause from adding complexity to the agent as it's harder to debug.
— Yohei (@yoheinakajima) 2 avril 2023
Took it an opposite direction and stripped out Langchain for now. It can't engage with APIs now, but can still perpetually build and execute tasks (just writing and "thinking"). pic.twitter.com/rJKDXZEchbTaking a pause from adding complexity to the agent as it's harder to debug. Took it an opposite direction and stripped out Langchain for now. It can't engage with APIs now, but can still perpetually build and execute tasks (just writing and "thinking").
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New Python Programming Guide Published Monday
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I just wrote another post about Python. Publishes Monday
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AlphaFold enables novel bacterial syringe drug delivery system
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Super cool use of #AlphaFold from the world famous @zhangf lab to help them develop a novel molecular syringe that could act as a new type of drug delivery system that could potentially target things like cancer cells! https://
genengnews.com/insights/natur
es-needle-feng-zhangs-team-re-engineers-bacterial-syringes-for-programmable-protein-delivery/
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AI Doomism and LLM-Driven Autonomous Agents for Gaming
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Doctor warning: The momentary AI doomism drama causes doom scrolling, doom reading of less wrong, and doom watching some podcasts. Best to avoid. There are more productive things to do, like working on LLM-driven autonomous agents for our game.