I naively tried vibe-coding a memory tool for agents and stared into the abyss of unsolved problems in philosophy
12 points by luiz
12 points by luiz
This was hilarious. Thanks for sharing.
I find it very amusing that the current direction of LLM optimization aimed to deliver best intelligence per Watt inevitably leads to the models becoming even bigger fachidiots then us, humans. Despite them "knowing" multiple separate fields they are unable to make the connections since those are truly rare and thus not represented well in the training set.
Sometimes when you want something smoothed, dropping "Will this moving average on the plot actually suppress aliasing or is there still too much energy above the Nyquist frequency?" unlocks the DSP databank and the model stops blindly applying leaky integrator or moving average and instead does the math and asks how many dB do you want, about the cutoff and ringing.
I imagine there are prompts that unlock other less represented fields (as opposed to web development and UNIX utilities) that would make the models apply much better knowledge to the problems we are solving, but alas, unless the driver knows the correct shibboleet they are doomed.