NetRunnerSu

10 ms·

1.
by NetRunnerSu 1y ago
I use LLM to do the final rendering. It is mainly to unify the language style and ensure smooth semantics. After working with models for a long time, my own language expression skills have been affected and become somewhat fragmented. Use
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by NetRunnerSu 1y ago
True "interruption" requires continuous learning, and the current model is essentially a dead frog, and frozen weights cannot be truly grounded in real time. https://news.ycombinator.com/item?id=44488126
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by NetRunnerSu 1y ago
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 m
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Show HN: The Future of LLM Explainability(github.com)
3 points by NetRunnerSu 1y ago|0 comments
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by NetRunnerSu 1y ago
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 o
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by NetRunnerSu 1y ago
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
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by NetRunnerSu 1y ago
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...
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by NetRunnerSu 1y ago
Code is law, proof is reality, compliance is existence! https://dmf-archive.github.io/prompt/
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by NetRunnerSu 1y ago
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
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Transformers are the best equivalents of cognitive ability(dmf-archive.github.io)
3 points by NetRunnerSu 1y ago|0 comments
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by NetRunnerSu 1y ago
Humans can also have hallucinations, but they can be grounded quickly, and models with freezing weights are never possible. https://news.ycombinator.com/item?id=44488126
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by NetRunnerSu 1y ago
Forward pass is unconscious, you are just electric shocking the frog specimen. https://news.ycombinator.com/item?id=44488126
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by NetRunnerSu 1y ago
A good AGI can make $100 billion. https://dmf-archive.github.io/docs/posts/PoIQ-v2/ HN: https://news.ycombinator.com/item?id=44488126
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by NetRunnerSu 1y ago
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 "Dynami
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by NetRunnerSu 1y ago
It's not magic, it's information theory and the dynamics of emergences about complex systems.
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by NetRunnerSu 1y ago
This is not about reasoning , this is about continuous learning and perpetual learning . https://github.com/dmf-archive/PILF https://dmf-archive.github.io/docs/posts/beyond-snn-plausibl...
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by NetRunnerSu 1y ago
Yes, you're right, that's what we're doing. https://github.com/dmf-archive/PILF
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by NetRunnerSu 1y ago
In fact, there is no technical threshold anymore. As long as the theory is in place, you can see such AGI at most half a year. It will even be more energy efficient than the current dense models. https://dmf-archive.github.io&#x2
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by NetRunnerSu 1y ago
Minimize prediction errors.
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by NetRunnerSu 1y ago
S-D-R, Software-Defined Reality!
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by NetRunnerSu 1y ago
Unfortunately, we did it. All that is left is to assemble the parts. https://news.ycombinator.com/item?id=44488126
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by NetRunnerSu 1y ago
To pass Arc, you need a living model with sentient abilities, not the dead frog now. https://news.ycombinator.com/item?id=44488126
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by NetRunnerSu 1y ago
Sorry, I didn't have time to find the relevant references at the time, so I'm attaching some now https://www.frontiersin.org/journals/computational-neuroscie... https://arxiv.org/abs/2305
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by NetRunnerSu 1y ago
The brain is trained to perform supervised and unsupervised hybrid learning from the environment's uninterrupted multimodal input. Please do not ignore your childhood.
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by NetRunnerSu 1y ago
Now we have. https://github.com/dmf-archive/IPWT https://dmf-archive.github.io/docs/posts/backpropagation-as-... But you're right, capital only cares about performance. https:/&#x2
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by NetRunnerSu 1y ago
Unfortunately, they could have been thinking, but the designation of the training/inference separation made them all specimens. https://news.ycombinator.com/item?id=44488126
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Stop Electrifying Dead Frogs: AI Consciousness might exist, but is MEANINGLESS(dmf-archive.github.io)
6 points by NetRunnerSu 1y ago|10 comments
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by NetRunnerSu 1y ago
We've been asking the wrong question about AI consciousness. It's not about whether a model can "wake up" during inference. That's just electrifying a dead frog's leg and marveling at the twitch. The real, flee
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by NetRunnerSu 1y ago
The author's critique of naive anthropomorphism is salient. However, the reduction to "just MatMul" falls into the same trap it seeks to avoid: it mistakes the implementation for the function. A brain is also "just prote
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Function over Form: Why Dynamic Sparsity Is the Only Path to AGI(dmf-archive.github.io)
1 points by NetRunnerSu 1y ago|0 comments

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