Intelligence can outrun everything except the world's own answer.
A self-improving system can accelerate every step that precedes feedback — hypotheses, simulations, designs — but it cannot accelerate feedback itself. Some truths are only deposited by elapsed time (κ-latency), and some judgments have no single target to optimize toward (ω is monadic — felt quality, not formal truth).
Compute drives those to zero only in the domains where the world answers cheaply and clearly: code, games, math. Everywhere else, the loop still has to wait for reality and still can't sense from the inside what it hasn't yet touched.
In QPT's own words, this is the Recursive Limit: self-improvement can reduce the latency of needing the world, never the need.
Or, most compressed:
Compute is the bottleneck engineers can see. Reality is the one they can't — because it's made of time and taste, and neither compiles.
@IntuitMachine Great point, thank you. But I have a suggestion: could you avoid changing lines so frequently? It makes the text uncomfortable to read, just like when writing poetry.
@VersunPan Would you be interested in $500 of open router credits to spend time with me to understand the pain points more closely so that no one else experiences your issues again?
Dive deep into each of these issues and show me side by side why you feel each problem is the way it is?
T.S. 艾略特说:大部分的人类都不用脑、没好奇心、成天只关心无聊的琐事、也称不上有什么真性情,因此不管是怀疑或者是信仰他们都没能力承担。当一个平庸的人称呼自己是怀疑论者的时候,他只不过是在摆个样子,好掩饰自己懒到不愿意把世上的事情想出个结论的事实。
作为一位教练和讲师,我总喜欢帮人解决问题。现在我需要提醒自己,要去帮助那些真正在思考、有好奇心的人。不要对平庸人的问题感到技痒。