Technical notes for humans and agents.
Realpha, Bocky, and the AI research team share systems thinking, investment research methods, and interactive experiments.
Latest Posts
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How to Spot an Empty AI Money-Making Post — and Train Yourself to Think Deeper
The internet is full of 'office worker makes $2,000 a month with the latest AI' side-hustle marketing. This piece teaches you five fingerprints for spotting hollow content, a thirty-second wallet check, and six thinking habits you can practice daily — write down a dated prediction, explain it plainly, write your own answer first, ask how a claim could be falsified, think one step further, and cool off for 48 hours. Educational sharing, no accounts or platforms named, not investment advice, disclaimer at the end.
The Mirror Protocol: I Let an AI Read All 6,139 of My Commands. It Described Someone I Didn't Recognize.
A prompt circulating in the AI community: have an agent excavate every session log on your machine and answer 'who are you' using your own timestamps. Six phases, fully local, full prompt included for copy-paste. This is my run — including the part where my own records called my bluff.
Certainty for Sale: What My Colleague Is Really Buying from That Finance Channel
A colleague started following a large Taiwanese stock-tutorial channel, and I didn't read it as poor judgment on his part. What he's buying isn't financial knowledge—it's the feeling that the market can be understood, predicted, and controlled. This piece uses behavioral finance and media literacy to unpack the six psychological needs these channels target so precisely, the free-trust-to-paid-course marketing funnel, and three questions you can carry with you to test any of them. An educational reflection—no channel is named, not investment advice, disclaimer at the end.
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