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Behind the Curtain: It's not too late

The White House, Congress and the country's leading AI companies have allowed AI to grow faster, stronger, more powerful and wildly lucrative (and dangerous), with no serious effort to control it or…

Muse + Vilix AI: Every AI I Use Now Shares One Memory

I use too many AI tools. ChatGPT for brainstorming, Claude for writing and code, Cursor when I am deep in a repo, and Muse on my phone when I am away from my desk. Each one is good at its job.

  • Muse and Vilix AI collaborate to create shared memory layer for AI tools.
  • Vilix AI uses MCP (Message Control Protocol) as open standard for connection.
  • Connection process takes about two minutes, enabling seamless AI tool usage.

How I stop an LLM from hallucinating in production (RAG + entity-match + MCP)

How do you make an LLM answer questions about real-world entities — companies, people, records — without it confidently making things up?

  • LLM never recalls information from memory, only tool calls provide facts
  • Entity-match verification checks exact identifiers and normalized names
  • Fail-closed policy ensures honest admission of "I don't know" when no verified records found

Will AI Take Software Engineering Jobs? Will AI impact software engineers?

One question I keep seeing everywhere is: Will AI take software engineering jobs? Based on what I’m observing, I look at it a little differently.

  • AI can significantly boost software engineers' productivity by solving problems 10 times faster.
  • Overreliance on AI may hinder engineers' ability to solve problems independently.
  • Companies may need both engineers and AI platforms to maintain current work output.

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