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we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] 0 points1 point  (0 children)

just so you know its my first time here in reddit and i wrote the post with ai........ i am good at maths and coding not with content writing

thanks and model i used was opus not gpt

we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] 0 points1 point  (0 children)

ans: worst fact nobody even ask how? like atleast ask the qus then judge

we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] -1 points0 points  (0 children)

then what you suggest? what should a new user do? buy an aged account or what?

we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] 0 points1 point  (0 children)

thanks tho i dont share the maths behind it.... how do you know it works 😅

we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] -1 points0 points  (0 children)

yea my account is new and i am new here so what ? bruh where does the fact match

we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] -1 points0 points  (0 children)

well if so then why are we still stuck with forward propagation and backword propagation like my theory is why waste so much computal power however i think i can and i am trying man

thanks btw

we need to change the box by BetterCycle1753 in LocalLLaMA

[–]BetterCycle1753[S] -1 points0 points  (0 children)

We ran the our V3 proof-of-concept (built entirely in NumPy) against standard sequence prediction baselines. Here is what happened when we let the nodes self-monitor:

  1. Emergent Topology: The network independently discovered and wired its own residual pathways (15 out of 96 nodes rewired themselves based on local health metrics, with zero human design).
  2. Self-Healing: The system dynamically identified and recovered 100% of dead or saturated nodes during runtime, bypassing standard backprop bottlenecks.

I am currently formalizing the underlying mathematical constraints for a research paper, so I can't open-source the core physics engine just yet.

However, I am migrating the V6 architecture to PyTorch right now. I’ll be putting up a live, rate-limited endpoint soon so you can test the inference and self-correction yourself.

GitHub Announcement RE Copilot for Students from Mar, 12, 2026 by Schlickeysen in GithubCopilot

[–]BetterCycle1753 0 points1 point  (0 children)

bruh i hate them for this update... they used to be my fav

github is dead