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In previous posts we explored what happens if we treat LLMs as processors that run Markdown as their machine code: a user-space IP stack written in Markdown and a BASIC interpreter written in Markdown.
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How do you ensure that your asset tracking system works with 100k+ assets when the hardware to track those assets exist only in sample quantities?
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If we view Claude Code as a processor and Markdown as its machine code, what can we do with it?
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Here is a fun thought: if we ask Claude Code to act as a user space IP stack, how quickly will it be able to respond to a ping?
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We all know people use AI to write their texts.
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Developing a smart home product takes serious effort.
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Most product ideas fail because nobody needed them in the first place.
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A hardware watchdog timer is a standard mechanism for embedded systems.
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How do we make sure our Bluetooth beacon system works with hundreds of devices in the same room?
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This was a ridiculous idea I had one day: wouldn’t it be fun to have a personal, portable laugh track – you know, like in those old sitcoms where there would be a canned laughter after every joke.