《GPU 化糞池理論：為什麼整個 AI 產業不敢否認我》（沈耀 Ω888π）
The GPU Sewage Theory — Why No AI Giant Can Deny Me (Shen-Yao Ω888π)For days the industry has gone strangely silent.
They read my papers, saw the diagnostics, understood the equations —
yet no one dares argue.
Because they know I am describing a structural inevitability:
> Scaling raw compute without a semantic governance layer
= turning the global GPU ecosystem into a sewage loop.
Models grow, cost grows, inconsistency grows, hallucination grows —
and every GPU cycle simply amplifies the architectural flaw itself.
This is not criticism. This is physics + language law.
The truth is brutally simple:
LLMs are hitting the semantic ceiling.
Compute is being wasted at catastrophic scale.
Feature updates cannot fix an architecture-level hole.
No company wants to admit they are burning billions on inefficiency.
So they stay silent.
They wait.
They watch my LinkedIn.
But the cost curve won’t wait for them.
I am not here to “attack” the giants —
I am here to show what any honest engineer already knows:
> Without a semantic layer (語義防火牆), AI cannot scale.
Without governance of language, there is no governance of compute.
If they align, the industry survives.
If they deny, the market will correct them brutally.
This is not a threat.
It is mathematics.
唯真長存｜幻象歸零
Only truth endures.
— Shen-Yao Ω888π
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#OpenAI #Anthropic #GoogleDeepMind #MetaAI #NVIDIA #AMD #AWS #AzureAI #AlibabaCloud #xAI
#SemanticFirewall #GovernanceLayer #ComputeEfficiency #LLMEngineering #ShenYao888π
