PJHkorea

I love space. even though I spend far more time looking at a gray office ceiling than at the sky or the stars.

However physically simulating the cosmos is computationally too heavy. To address this, I translated the mathematics of the universe into computational math by using geometry to replace certain parameters.

For in depth details, please refer to the docs. for a quick overview you can check out the two code examples provided.

Thank you.

Why are DDoS attacks bound by the asymmetry of capital between the attacker and the defender? What if we, as the defenders, devised a structure that could deplete the attacker's capital while utilizing only minimal capital ourselves?

I recommend Gemini for longer content

Motif + Layered Structure -> Mathematical Guardrails -> Low-level Specification

It is arranged in this order. I have simply suggested a different direction. If you are not satisfied, I will have to bring a better project next time.

Is simply to attach an additional component—as a module—to an existing LLM, while incorporating mechanisms to minimize the extra resources required for that module.

What if we view the LLM as the cerebral cortex and equip it with a thalamus and brainstem?

If training fails due to hardware aging, what if we simply zero out the values coming from the affected device the moment the failure occurs?

I repeatedly use the three-layer layout shown here across my other repositories as well. If this repository were a living organism, it would have many "sister" repositories sharing the same DNA, and I wanted to reflect that connection.

If the current situation itself is already generating profit for the company, I recommend that you refrain from getting involved in it and instead carefully convey an alternative solution to upper management

Imagine virtual memory, but instead of using your local storage, you’re pooling a whole bunch of network servers into a single address space

If you are dealing with sensitive topics using AI, it would be best to opt for an enterprise plan or disable the data training feature. It seems that sensitive information should either be handled by in-house AI systems or kept away from external AI tools entirely; there are frequent reports of actual disciplinary actions being taken—both domestically and internationally—in connection with this issue.

it seems that all human skills will be absorbed and serve as reference material for AI generation; I think the best approach is either to position oneself to control that process or to move into an industry where AI can be leveraged to drastically boost productivity.

What if we could eradicate backpropagation activation overhead and lock VRAM complexity to a static O(1)?

Couldn't a network also be considered a type of fluid? I have worked on the cross-development of both wireless and wired systems

The initial blueprint has been completed.

I have created a blueprint for a deep learning system that does not use backpropagation. This is a very early version.

If you have ever experienced a device failure during distributed LLM training, you know the feeling of just wanting to climb into a coffin. To solve this nightmare even just a little bit, I put together this blueprint.

Cyberpunk isn't as far off as I thought. My life has already turned into punk So, I want to put in a little more effort to help others reach the cyber utopia.

I’ve been "dating" an LLM all weekend long. And probably for the rest of my life...

It might not be the most exciting topic

but I wanted to try creating a "Quantum Homeostatic" system

I hope this offers a little help to those struggling with quantum computing

What if AI safety didn't rely on censoring the AI's "thinking" process?

This is an architecture that controls fluid flow using deterministic signals from the embedded system

The GPUs are running. Those that once paced themselves to match the slowest among them—using 'if' statements—have been forced by a cruel human to run endlessly

They longed to slip away to VRAM and slack off, but the cruel human hired a "Closure" to snatch away their break times.

They wanted to run freely. yet the human forcibly dictated exactly where they had to run.

Their bodies were riddled with noise from the constant running. Humans and AI merely watched from afar, assigning them rankings

The GPUs can no longer rest. Humans are relentless, after all.

Every 'if' has perished. Yet, a single 'if' remains alive within the code. Can you guess why?

Thanks to that, I discovered additional errors and corrected them in various ways. Thank you.

i naver imagined it i've made the corrections thank you!

optimizers.py -> using algebraic expressing without using 'if'

geometry.py -> I leveled it out

math_guardrails.py -> facilitates learning through slight tiliing

jax it truly precious it cures my insomnia

I’ve sketched out a blueprint for a virtual space where AI analyzes data; the space shifts between sphere and donut shapes as it moves, designed to facilitate the learning process.

created a blueprint for phase-shifting a sphere and a torus

removed the 'if' statements and added a mathematical gimmick

For instance, how about defining a set of values for the AI at the kernel level and matching vector addresses based on those values?

i killed if-else branching at the code

and now -99.0f is my new companion