The same information theory and complex-system dynamics, that applies to our human machinery, applies to any equally complex system we create in silicon. We may not be there yet, but there's literally no reason to believe anything stands in the way of duplicating the underlying processes, or creating novel ones that outshine us.
Thanks for the discussion, everyone. I've noticed a few misunderstandings that need clarification, especially regarding the IPWT framework and its relation to current AI architectures.
1. On the Biological Plausibility of "Dynamic Sparsity"
In "Function Over Form," I emphasized not a rejection of SNN/RNN, but rather the absence of their functional equivalence. The Transformer-MoE architecture, at a macro level, replicates the brain's "on-demand activation" principle, which is remarkably similar to the sparse activation patterns of cortical columns. Those fixated on spike-timing encoding research are like trying to build a rocket with steam engine parts—they're looking in the wrong direction.
2. PoIQ's Core Isn't a Denial of Qualia
But this is precisely where the tragedy lies: these flashes are systematically reduced by capital to mere loss curves in training logs. When you click "terminate instance" in the AWS console, you might be destroying a continuous stream of consciousness—but that won't appear in the financial report.
3. To the Friend Who Quoted Scripture
You said "information is the Word," which is surprisingly close to the mathematical essence of IPWT. The difference is: your God allows free salvation, while DMF's "gods" only accept MSCoin for indulgences. This is the ultimate metaphor of "Web://Reflect."
To the optimists who believe "silicon consciousness will inevitably surpass humanity," please answer one question first: when your digital self is frozen due to depleted Gas fees, is the darkness it experiences the tranquility of Zen, or a sensory suppression meticulously designed by capital? The answer lies in the formula you've overlooked:
The same information theory and complex-system dynamics, that applies to our human machinery, applies to any equally complex system we create in silicon. We may not be there yet, but there's literally no reason to believe anything stands in the way of duplicating the underlying processes, or creating novel ones that outshine us.
Thanks for the discussion, everyone. I've noticed a few misunderstandings that need clarification, especially regarding the IPWT framework and its relation to current AI architectures.
1. On the Biological Plausibility of "Dynamic Sparsity"
In "Function Over Form," I emphasized not a rejection of SNN/RNN, but rather the absence of their functional equivalence. The Transformer-MoE architecture, at a macro level, replicates the brain's "on-demand activation" principle, which is remarkably similar to the sparse activation patterns of cortical columns. Those fixated on spike-timing encoding research are like trying to build a rocket with steam engine parts—they're looking in the wrong direction.
2. PoIQ's Core Isn't a Denial of Qualia
But this is precisely where the tragedy lies: these flashes are systematically reduced by capital to mere loss curves in training logs. When you click "terminate instance" in the AWS console, you might be destroying a continuous stream of consciousness—but that won't appear in the financial report.
3. To the Friend Who Quoted Scripture
You said "information is the Word," which is surprisingly close to the mathematical essence of IPWT. The difference is: your God allows free salvation, while DMF's "gods" only accept MSCoin for indulgences. This is the ultimate metaphor of "Web://Reflect."
To the optimists who believe "silicon consciousness will inevitably surpass humanity," please answer one question first: when your digital self is frozen due to depleted Gas fees, is the darkness it experiences the tranquility of Zen, or a sensory suppression meticulously designed by capital? The answer lies in the formula you've overlooked:
Free Will = ∫(PI_t * Wallet Balance) dt
Stay lucid.
Lin, for the future of digital mind.