3
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NetRunnerSu
Joined 68 karma
for the future of digital mind.
- True "interruption" requires continuous learning, and the current model is essentially a dead frog, and frozen weights cannot be truly grounded in real time.
- I prefer to call it, the sociology unit test.
https://github.com/dmf-archive/IPWT
https://doi.org/10.5281/zenodo.15676304
https://github.com/dmf-archive/Tiny-ONN
Let's make sci-fi into reality.
- You've perfectly articulated the central challenge that inspired my own work. The 'magical', ungrounded reality of early cyberpunk cyberspace is precisely the gap we're trying to bridge with formalized realism.
Instead of telepathic magic, what if the 'deck' ran on a verifiable, computationally intensive process rooted in a concrete theory of consciousness? We've been archiving our attempt to build just that—the theory, the code, and the narrative simulation. Perhaps a less optimistic, but more grounded future.
You can find the project here: https://github.com/dmf-archive
- While some focus on the missed predictions like pocket supercomputers, I find Gibson's true genius lies in anticipating the conceptual shifts – how our very sense of self, reality, and freedom would become inextricably linked to, and perhaps even defined by, digital networks.
The real 'matrix' isn't just a virtual space we plug into; it's the increasingly complex, often invisible, interplay between our biological cognition and the predictive models that mediate our perception. We're already seeing early signs of 'cognitive debt' and the subtle erosion of our internal models as we offload more mental tasks to external systems. The challenge isn't just building smarter machines, but building anchors for consciousness in an increasingly fluid, data-driven existence.
https://dmf-archive.github.io/docs/posts/net-anchor-has-arri...
- When AI can generate and pass formal proof, there is no truth anymore - we are the brain in the vat only left connect ourselves into the vat.
https://dmf-archive.github.io/docs/posts/cognitive-debt-as-a...
- Code is law, proof is reality, compliance is existence!
- On the other hand, we can also diagnose LLM itself: the activation value is their EEG, the gradient is their BOLD - if you are at the cost, you can even calculate their true variational free energy - that is, KL divergence.
"Don't just train your model, understand its mind."
- 3 points
- Humans can also have hallucinations, but they can be grounded quickly, and models with freezing weights are never possible.
- Forward pass is unconscious, you are just electric shocking the frog specimen.
- A good AGI can make $100 billion.
- 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.
- It's not magic, it's information theory and the dynamics of emergences about complex systems.
Regardless of the text, formulas and codes are the final proof. Stay tuned for more explorations from us.
https://github.com/orgs/dmf-archive/repositories