Everyone is asking the wrong AI question.
It is not “can AI beat the market?” It is “how do I wire a model that never sleeps into a human who feels panic, greed and regime shifts, and still come out ahead?”
I call that Vibe Investing. I turned it into a working playbook>
AI is already elite at the boring middle,like compression, scenario trees, risk discipline.
Humans still win where the distribution breaks: structural shifts, reflexivity, taking real PnL and career risk.
This is exactly what my new Vibe Investing bundle on Gumroad is built around:
>a deck on human–AI collaboration in real shock events
>the Tigris IC Memo Master Template I actually use for investment committee
>a few small tools for structural breaks, crisis prompts and trade logs.
If you are a serious retail investor, it is like having a buy side CIO sanity: check your next panic decision.
If you sit on the professional side, it is a way to plug AI into your process without becoming replaceable by it.
Details and link in the first reply.
保存的原文 · 长文
X 阅读
2025-12-15
2 条已保存原文 · 时间显示为 Toronto 当地时间
保存说明:除条目另有标注外,正文尚未人工核对 · 图片未保存 · 引用或对话上下文可能不完整。
The Oracle dump is rational… and that’s exactly why it might be wrong.
Yes, Phase 2 is a cash-flow audit of the AI buildout. Builders get hit first.
But the market’s shortcut is dangerous: it’s treating $ORCL as a pure infra bet.
ignoring what happens when AI value migrates downstream into enterprise software, databases, and workflows. That’s where margins live.
If AI actually becomes enterprise productivity, Oracle doesn’t just rent GPUs, it monetizes the software layer sitting on top of the world’s private data.
The selloff may be pricing near-term financing risk as permanent impairment. That’s a classic misread.
Link in reply.
保存的原文 · 长文