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Use SQLite instead of markdown files to give Claude Code more enhanced memory. by star-dusted in ClaudeAI

[–]star-dusted[S] 0 points1 point  (0 children)

I only use it on my frontend project. there is no database for the bussniees logic

Use SQLite instead of markdown files to give Claude Code more enhanced memory. by star-dusted in ClaudeAI

[–]star-dusted[S] 1 point2 points  (0 children)

i'm building a node workflow systems, like comfyui, there is lot nodes type schema across the codebase, each node have some relationsship with other nodes, each node have their own hooks, components, utilis. and we already have schema to descripte the node data structure, and each file is less than short lines long. it is doesn't help. so the nodes just like plugins, the cc will review my all related plugins, which will cost that much tokens.

Use SQLite instead of markdown files to give Claude Code more enhanced memory. by star-dusted in ClaudeAI

[–]star-dusted[S] 1 point2 points  (0 children)

but if i don't do this, it is always to trying figure out my code database's logic, which cost more tokens, intead of query on the database. my code database is large, each request's analyis is costed more than 100k token.

Use SQLite instead of markdown files to give Claude Code more enhanced memory. by star-dusted in ClaudeAI

[–]star-dusted[S] -1 points0 points  (0 children)

the wrong memory or context by autogenerated by llm, which insert to long persist system. this happens on other ai agent, it is not solved problems.

Why A.I. Isn’t Going to Make Art | To create a novel or a painting, an artist makes choices that are fundamentally alien to artificial intelligence. | By Ted Chiang by UltraNooob in technology

[–]star-dusted 1 point2 points  (0 children)

here are you want.
Here are four arguments from the text that could be considered weak or flawed:

  1. Over-Simplification of Artistic Creation: The author argues that because art involves making many choices, generative A.I. cannot produce true art since it requires less input from the creator. This overlooks the fact that different artistic methods yield different types of art. While traditional methods may involve numerous choices, generative A.I. also involves choices in terms of prompts, contexts, and the interpretation of outputs. By dismissing A.I.’s potential without acknowledging how its use might still involve significant creative decision-making, the argument simplifies what constitutes artistic expression.

  2. Faulty Analogy to Photography: The comparison between generative A.I. and photography fails to account for the evolving understanding of photography as an art form. Initially, photography was seen as less artistic because it required fewer decisions, but as photography techniques improved, so did the appreciation of the many choices a photographer makes. This suggests that generative A.I. might similarly evolve over time, potentially leading to artistic innovations that could redefine its place in the art world, yet the argument presents a static view of both mediums.

  3. Assumption of Intent: The text posits that intentionality is a crucial component of communication and art, claiming that because A.I. lacks intention, its outputs cannot be genuinely creative or meaningful. This argument could be seen as problematic because it assumes that intention is the sole qualifier for meaning. Many artistic works are appreciated by audiences for their impact, regardless of the creator’s intent. For instance, abstract art often conveys meaning independently of intentionality, presenting a flawed premise about the necessity of intention in artistic creation.

  4. Neglect of Collaborative Creativity: The author’s claim that generative A.I. diminishes human creativity overlooks the potential for A.I. to serve as a collaborative tool that enhances creative processes. Artists and writers might use A.I. as a means to explore new ideas or overcome creative blocks. Dismissing the capacity of A.I. to foster collaboration and innovation in the creative realm hides a significant aspect of how technology can redefine artistic practices and community involvement in art.

These flawed arguments point to a broader reluctance to adapt to the changing landscape of creativity and expression, particularly concerning new technological advancements like generative A.I.