ndai

Your personal insult aside, resonance is a fundamental term in physics and harmonic oscillators are fundamental to quantum field theory and modern physics. Music was a metaphor- this isn’t Nature.

I’m sharing not arguing. This is the comment section of a website. I sold my autonomy for a wage doing other things, but I happily accept my affliction of contemplating the universe. Maybe it will spark something in the imagination of someone. Amateurs thinking is what led humanity to this point. I clearly stated my lack of domain expertise- but I reserve my right to unprofessionally question foundations and reject treating silence about first principles as intellectual virtue. I also accept, with grumbling, the downvotes.

Waves don’t come from pressure. Pressure comes from constrained waves… constraints prevent oscillatory relations from freely satisfying their phases. Pressure is a local manifestation of the same idea behind gravity. When many interacting modes lock into a persistent configuration, they impose constraints on nearby modes. To us on the inside it looks like curvature and attraction. But the comment section on HN is a bloodsport…

As an expert in air conditioning repair… a thing is a dynamically maintained waveform of interacting modes. The proton demonstrates that reality is resonance… music, not machinery… processes over objects. The universe isn’t built from particles, it’s built from oscillatory relations which remain stable. The first utterance set the constraint that selects the allowed oscillations that gave rise to structure from undifferentiated oscillatory potential.

No pip freeze to lock the doom, No tangled trees in darkened bloom, No maintainers tricked by phishing spree — In C I hold the memory key.

Through buffer, pointer, syscall roar, I own the land, I own the shore; Let Python’s spiders weave their scheme, I’ll keep my ship rock-steady in C-stream.

You could be right. But it could also be due to things like: automatic 401k injections into the market, easy retail investing, and general speculative attitudes.

Isn’t NVIDIA fabless? I imagine (I jump to conclusions) that design is less of a challenge than manufacturing. EUV lithography is incredibly difficult- almost implausible. Perhaps one day a clever scientist will come up with a new, seemingly implausible, yet less difficult way, using “fractal chemical” doping techniques.

I’m curious where you got your training data? I will look myself, but saw this and thought I’d ask. I have a CPU-first, no-backprop architecture that works very well on classification datasets. It can do single‑example incremental updates which might be useful for continuous learning. I made a toy demo to train on tiny.txt and it can predict next characters, but I’ve never tried to make an LLM before. I think my architecture might work well as an on-device assistant or for on-premises needs, but I want to work with it more before I embarrass myself. Any open-source LLM training datasets you would recommend?