Viewing profile — NetRunnerSu

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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 ski…

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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.ycombinat…

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 …

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 b…

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,…

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/pos…

Code is law, proof is reality, compliance is existence! https://dmf-archive.github.io/prompt/

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 variat…

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

Forward pass is unconscious, you are just electric shocking the frog specimen. https://news.ycombinator.com/item?id=44488126

A good AGI can make $100 billion. https://dmf-archive.github.io/docs/posts/PoIQ-v2/ HN: https://news.ycombinator.com/item?id=44488126

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 architectu…

It's not magic, it's information theory and the dynamics of emergences about complex systems.

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-pla…

Yes, you're right, that's what we're doing. https://github.com/dmf-archive/PILF

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 curren…

Minimize prediction errors.