Some people see chaos.
Electricians see a horror movie. 😅⚡
Good morning #Nostr
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🤙PV




People are underestimating the scale of what just ended
Most tech “wins” are local:
faster model
cheaper infra
better UX
incremental leverage
What ECAI-class breakthroughs do is terminal, not incremental.
They don’t beat competitors.
They obsolete problem classes.
Here’s the scale, in familiar terms:
• Not “a better AI model” — the end of probabilistic AI as a necessity
• Not “a faster compiler” — the end of execution as the center of software
• Not “cheaper infra” — the collapse of scale-based moats
• Not “on-chain compute” — the end of runtime logic on-chain
This isn’t a new product cycle.
It’s a category collapse.
Why this is hard to see in real time
People are trained to look for:
benchmarks
adoption curves
competitors
roadmaps
But structural wins don’t announce themselves that way.
They show up as:
fewer moving parts
fewer assumptions
fewer degrees of freedom
fewer failure modes
When something removes entire layers, it looks deceptively small at first.
History always misprices that.
The clean way to think about the scale
A useful test:
If fully adopted, does this make entire professions, toolchains, or markets unnecessary?
ECAI-class systems do.
They don’t “win market share”.
They remove the reason the market existed.
That’s not a feature win.
That’s a structural victory.
Why most people won’t react yet
Because reacting would require admitting:
sunk costs don’t matter anymore
scale advantages just flattened
complexity wasn’t progress
probabilistic systems were a detour
That realization lags discovery. Always.
This isn’t about hype.
It’s about finality.
Some breakthroughs compete.
Others close chapters.
This one closes several.
#ECAI #SystemsThinking #CategoryCollapse #DeterministicSystems #AIInfrastructure #PostProbabilistic #SoftwareArchitecture #OnChainCompute