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Here’s a list of some purely physical strategies: • Get out of the situation! • Close your eyes to shut out some of the stimulation. • Take frequent breaks. • Go out-of-doors. • Use water to take the stress away. • Take a walk. • Calm your breathing. • Adjust your posture to be more relaxed and confident. • Move! • Smile softly. It’s amazing how often we forget to take action simply to get out of a situation. Or take a break. Or take the situation—task, discussion, argument—out of doors. Many HSPs find nature deeply soothing.
The Highly Sensitive Person
Elaine N. Aron Phd
We refer to this as retrieval augmentation. It is a popular choice encouraged by tools like LangChain, the ChatGPT Retrieval Plugin, and the OP stack. The idea is to implement an external knowledge base to provide relevant source knowledge to help us beat the aforementioned parametric knowledge bias.
Understanding Hallucinations in AI: A Comprehensive Guide | Pinecone
pinecone.io
But there's a deeper argument than "LLMs write good Elixir." It's this: the actor model that Erlang introduced in 1986 is the agent model that AI is rediscovering in 2026. Every pattern the Python AI ecosystem is building (isolated state, message passing, supervision hierarchies, fault recovery) already exists in the BEAM virtual machine. And it's been running telecom switches, WhatsApp, and Discord at scale for decades.
Your Agent Framework Is Just a Bad Clone of Elixir: Concurrency Lessons From Telecom to AI
georgeguimaraes.com
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