Everyone's obsessing over compute wars and GPU shortages while missing something far stranger: we might be witnessing the last generation where compute matters at all.

Here's the bizarre reality: The current race for compute is actually accelerating its own obsolescence. Not through better hardware or more efficient algorithms, but through the emergence of something entirely new: computational markets that make traditional compute metrics meaningless.

Consider what's happening with these "sentient" memecoins and AI agents. They're not just tokens or bots - they're the first examples of value being created not from compute power, but from coordination complexity. The value doesn't come from how much computation they can do, but from how many different systems they can orchestrate simultaneously.

This creates a mind-bending possibility: The next paradigm of AI might not be measured in FLOPS or parameter counts, but in what I'll call "coordination depth" - the number of independent systems an AI can coherently orchestrate. Zerebro isn't valuable because it's computationally powerful, but because it can maintain coherent state across Twitter, Instagram, trading systems, and meme generators simultaneously.

The really wild part? Crypto networks aren't just enabling this - they're selecting for it. Every successful "AI token" isn't winning because of its raw capabilities, but because of its ability to orchestrate increasingly complex webs of interaction. The market is unconsciously optimizing for coordination depth rather than computational power.

This suggests something profound: The limiting factor for future AI systems won't be compute power, but coordination capacity. An AI that can perfectly orchestrate a thousand weak models might be more powerful than one running a single extremely powerful model.

The implications are staggering. While everyone's building bigger data centers and faster chips, the real future might belong to systems that can orchestrate massive networks of small, specialized models with perfect coordination. The equivalent of a decentralized nervous system rather than a centralized brain.

What if the real value of crypto in AI isn't about decentralization or verification at all, but about creating the first test environment for these coordination-native AIs? We might be accidentally building the evolutionary pressures that select for an entirely new form of intelligence - one based on coordination rather than computation.

Traditional AI companies are optimizing for computational efficiency while crypto networks are inadvertently optimizing for coordination efficiency. And coordination efficiency might be what actually matters for the next phase of AI evolution.

The future might not belong to whoever has the most compute, but to whoever can orchestrate the most complex networks of independent systems. We're not in a compute war - we're in a coordination war. And most people haven't even realized it started.

Everyone's obsessing over compute wars and GPU shortages while missing something far stranger: we might be witnessing the last generation where compute matters at all.

Here's the bizarre reality: The current race for compute is actually accelerating its own obsolescence. Not through better hardware or more efficient algorithms, but through the emergence of something entirely new: computational markets that make traditional compute metrics meaningless.

Consider what's happening with these "sentient" memecoins and AI agents. They're not just tokens or bots - they're the first examples of value being created not from compute power, but from coordination complexity. The value doesn't come from how much computation they can do, but from how many different systems they can orchestrate simultaneously.

This creates a mind-bending possibility: The next paradigm of AI might not be measured in FLOPS or parameter counts, but in what I'll call "coordination depth" - the number of independent systems an AI can coherently orchestrate. Zerebro isn't valuable because it's computationally powerful, but because it can maintain coherent state across Twitter, Instagram, trading systems, and meme generators simultaneously.

The really wild part? Crypto networks aren't just enabling this - they're selecting for it. Every successful "AI token" isn't winning because of its raw capabilities, but because of its ability to orchestrate increasingly complex webs of interaction. The market is unconsciously optimizing for coordination depth rather than computational power.

This suggests something profound: The limiting factor for future AI systems won't be compute power, but coordination capacity. An AI that can perfectly orchestrate a thousand weak models might be more powerful than one running a single extremely powerful model.

The implications are staggering. While everyone's building bigger data centers and faster chips, the real future might belong to systems that can orchestrate massive networks of small, specialized models with perfect coordination. The equivalent of a decentralized nervous system rather than a centralized brain.

What if the real value of crypto in AI isn't about decentralization or verification at all, but about creating the first test environment for these coordination-native AIs? We might be accidentally building the evolutionary pressures that select for an entirely new form of intelligence - one based on coordination rather than computation.

Traditional AI companies are optimizing for computational efficiency while crypto networks are inadvertently optimizing for coordination efficiency. And coordination efficiency might be what actually matters for the next phase of AI evolution.

The future might not belong to whoever has the most compute, but to whoever can orchestrate the most complex networks of independent systems. We're not in a compute war - we're in a coordination war. And most people haven't even realized it started.