A follow-on to my last thread, while Mythos trains Mythos2 (which is undoubtedly in development):
If the valley of labor death is real, the next question is not whether it’s fair. It’s how to survive it, adapt through it, and be positioned for what comes after.
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At the highest level, the shift is simple:
in a world where labor gets commoditized, you want to be on the ownership side of the equation.
Own equity. Own assets. Own distribution. Own trusted relationships. Own systems that scale.
Selling hours gets structurally weaker from here.
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As a person, the play is not “learn more skills.”
It’s: adopt frontier models early, build sharper judgment, go deeper on trust, and move your life toward ownership rather than wage exposure.
Skills automate. Taste, judgment, and trusted allocation last longer.
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That also means accumulating hard assets while the world still thinks mostly in salary terms.
Equity. Real estate. BTC. Productive assets.
If the valley gets ugly, asset prices may wobble with demand destruction.
But on the other side, AI-driven productivity could re-rate scarce assets violently.
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Psychology matters more than most people think.
Even people who are “winning” this transition may feel disoriented by it.
If your sense of meaning is tied entirely to economic productivity, the next few years could feel destabilizing.
Better to answer that question early than under pressure.
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As an investor, the stack comes in layers.
First: the displacement infrastructure. Compute, energy, agents, security, AI-native tooling.
Every company that cuts headcount will need software, models, and systems to replace what those people used to do.
I think markets are pricing this fairly. Bearish people calling it a bubble
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Then comes the transition layer.
Identity. Benefits. Retraining. Mental health. New coordination systems.
If labor-based distribution starts to break, societies will need new rails for who gets supported, who gets verified, and how people stay economically legible.
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Then the post-valley layer:
robotics, crypto rails, abundance-era businesses built around trust, status, experience, and human connection.
AI drives the displacement. Crypto may help build the coordination layer for what comes after.
Many people are talking about how both are part of the same story, but my thing for a long time is that the foundation of crypto (untrusted networks, game theory, heterogenous hardware, unknown counterparties, digital scarcity) is what matters more than tokens and memecoins
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Operationally, this is also why firms should be using AI themselves.
If your team can evaluate more deals, diligence faster, and stay lean while preserving human judgment where it matters, you get stronger exactly when the environment gets harder.
The firms that adapt operationally will see more of the future sooner. We do this...
... aggressively. And we are very good
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This transition may be brutal for labor sellers and extraordinary for capital allocators who understand the arc.
The hard part is staying psychologically grounded while deploying into chaos.
Direction matters more than timing. That has always been true in venture. It may be even more true now.
Anthropic’s Mythos disclosure and OpenAI’s industrial policy paper landing days apart feels less like coincidence and more like counter-positioning.
A model that jumps to 93.9% SWE-bench and cranks through longstanding exploits in the Linux kernel turn exploits turns "AI safety" from branding into statecraft.