> Note: This post was formatted and worded with the help of an AI assistant. The ideas, thoughts, and reasoning are entirely human—mine. Not everyone’s a polished writer, and sometimes getting ideas out clearly needs a little help. That’s all this is. When I first started using large language models...
Sometime in early 2024, I stopped reading books. Not because I don’t love the process—but because I realized the alpha/hour ratio was far too low. Reading texts (especially documentation) has become increasingly inefficient. It’s not about laziness; it’s about leverage. A static wall of text demands effort for diminishing insight....
Note: This post was formatted and worded with the help of an AI assistant. The ideas, thoughts, and reasoning are entirely human—mine. Not everyone’s a polished writer, and sometimes getting ideas out clearly needs a little help. That’s all this is.
When I first started using large language models (LLMs), I honestly saw them as glorified autocomplete machines—clever, predictive, and sure, sometimes useful. But the more I explored them, the more I started noticing possibilities beyond surface-level word prediction. Especially now, with the rise of agentic systems and protocols like MCP (Model Context Protocol), LLMs are starting to behave more like tools with agency—calling APIs, triggering workflows, even making decisions in context.
This shift... (read 445 more words →)
Sometime in early 2024, I stopped reading books. Not because I don’t love the process—but because I realized the alpha/hour ratio was far too low.
Reading texts (especially documentation) has become increasingly inefficient. It’s not about laziness; it’s about leverage. A static wall of text demands effort for diminishing insight. But a PDF piped into an LLM? That’s different. That’s programmable knowledge. I can chat with it. Extract patterns. Mine underdiscussed takeaways. Highlight blind spots. Summarize arguments. It’s like outsourcing the heavy intellectual lifting (Subjective).
This flipped a mental switch for me:
Documents today aren't messages to be read—they're messengers to be conversed with.
If I send someone a PDF, I’m not expecting them to read... (read more)
Religion feels like our way of making sense of the world when we had no other tools—stories born from experience, shaping survival, culture, and identity. But it’s more than that; it wrestles with meaning, ethics, and existence itself. While I get the idea of 'everlasting truths,' I think they’re too abstract without clarity. Maybe religion isn’t just outdated science—it’s a mirror of our need to belong and believe, even if we’ve outgrown some of its explanations.