I am going to start posting more about my projects.
#FoundationProject -- a project to rethink, rework, and rebuild the computer technology behind the scenes.
#SubSky -- A minimalist CPU architecture and computing environment. https://t.co/MsyrsSiTPD
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> The difficulty, the lack of hand-holding and onboarding, the lack of save points… these were resilience building, not damaging. It taught us problem solving skills, how to manage frustration, how to zoom out, and that nothing in life would just be handed to you.
"Why Slow Tech Matters" by Peri Fractic.
A nice little article on the mission of #Commodore , and how computer speed can be a bad thing.
https://t.co/AXfcnUkCVW
#smallComputing#retrocomputing
Heap memory management is always very trouble-prone, and this idea of things like variable names being generally bad is making me wonder about alternatives. But I'm not quite sure what. [3/3]
#softwareEngineering#memoryManagement
"A side-effect of working from within unique computing environments is that looking for generic solutions is often more impractical than solving the problem head on. By that, I mean by that the solution needs to be adapted to the specifics of the virtual system, and this [1/2]
One of the next tasks I have in my VM / computing environment is implementing a heap, along with malloc, realloc, dealloc, and even an "alloclen". I'm glad I happened upon this. [2/3]
Artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships, and do not know from within what love, work, friendship or responsibility mean. Nor do they have a moral conscience, since they do not judge good and evil, grasp the ultimate meaning of situations, or bear responsibility for consequences. They may imitate or even simulate, but they do not understand what they produce, for they lack the affective, relational, and spiritual perspective through which human beings grow in wisdom. #MagnificaHumanitas
One thing I respect a lot is how much engineers had to and were able to squeeze out of hardware a few decades ago.
Most people don’t know this, commodity hardware is absurdly good. you can serve millions on a single machine for a simple CRUD app
Back then you had to actually be clever. Though I guess if you are training or serving large models, not much is changed and every core counts