functional_dev

7 ms·

61.
by functional_dev 6mo ago
spot on... that difference between evaluation and storage is exactly why C++ is so hard to keep in my head I thought constexpr was a hard physical constant, but in reality it's a weird hybrid this visualisation helped me to wrap my h
62.
by functional_dev 6mo ago
100% agree
63.
by functional_dev 6mo ago
Have you tried to feed "tsc" error messages to Opus? That should reset model's logic
64.
by functional_dev 6mo ago
imo one huge benefit is that ipv6 is much easer for hardware to process.. ipv4 headers are messy and change size. ipv6 headers are 40 bytes! routers have less thinking. this visualisation might help to dive deeper - https://vectr
65.
by functional_dev 6mo ago
maybe they are considered direct link between heaven and earth :)
66.
by functional_dev 6mo ago
consumer car needs hundreds of pounds of reinforcement... just to pass side impact test
67.
by functional_dev 6mo ago
yeah, hexane is the industry standard for extraction... even bio oils are tied to petroleum. here is comparison on extraction physics vs chemistry for turning it into biodiesel - https://vectree.io/compare/biodiesel-che
68.
by functional_dev 6mo ago
even if traning is hitting a wall I think they are shifting more to reasoning phase to get better results... and that is inference compute scaling
69.
by functional_dev 6mo ago
What about rust const fn() ? I think it guarantees there are no side effects
70.
by functional_dev 6mo ago
are you using vector store for long term persistence or standard fs and model interaces with it via tools?
71.
by functional_dev 6mo ago
i wonder what is the limit of quantization when it starts to destroy the logic of weights?
72.
by functional_dev 6mo ago
does this handle the timing differences between browser execution and real time hardware? or is it focused on logic verification?
73.
by functional_dev 6mo ago
exactly, that map looks like a mess of random blocks... big blocks are registration groups (countries) and squares inside are registrants (publishers). like a hierarchy. this visualisation helped me to put pieces together - https:/&#x
74.
by functional_dev 6mo ago
wasnt PEP 740 an attempt to solve this?
75.
by functional_dev 6mo ago
The shape argument works well in small packages but it starts to fail once you have multiple domain models starting with the same letter
76.
by functional_dev 6mo ago
trick is maintaining enough domain expertise... so we can actually audit those shallow outputs. If the baseline knowledge drops too low we cannot tell when the AI is being lazy or wrong
77.
by functional_dev 6mo ago
exactly, and they are cheap, right?
78.
by functional_dev 6mo ago
Why 600km exactly?
79.
by functional_dev 6mo ago
here is Wayland vs X11 visualised.. it might help - https://vectree.io/c/compositing-window-management-architect...
80.
by functional_dev 6mo ago
maybe humanoids because tools already designed for human likes? if you send specialised robot it cannot use wrench or climb a ladder... you have to redesign everything
81.
by functional_dev 6mo ago
I am not expert, but I heard brains learn way better when we actually use our hands to write stuff out. like the logic sticks deeper in your head that way... using computer is fast, but sometimes it just goes in one ear and out the other
82.
by functional_dev 6mo ago
Incredible work! Fitting transformer into 32KB RAM is crazy For those who read this project and do not know PDP-11 it could be hard to understand that working with these memory limits is difficult. Here is visual guide for PDP11 architectu
83.
by functional_dev 6mo ago
I learned recently that white sand is mostly parrotfish poop... they eat coral and then it becomes sand
84.
by functional_dev 6mo ago
TLDR https://vectree.io/c/anatomy-of-the-claude-folder
85.
by functional_dev 6mo ago
you are right! Power management improvements are what really enable these form factors... being able to run a wifi sensor on a coin cell for a year makes applications possible that were unthinkable just a few years ago
86.
by functional_dev 6mo ago
theory is one thing but the cpu cache is the real bottleneck here... here is a small visual breakdown of how these arrays look in memory and why pointer chasing is so expensive compared to the actual logic: https://vectree.io&#x2
87.
by functional_dev 6mo ago
seafoam green choice was also influenced by eye rest studies... since our eyes are most sensitive to middle wavelengths. just keep the room dimmer without losing detail. It reduces fatigue for operators on long shifts.
88.
by functional_dev 6mo ago
Anyhow, Elixir has it's rebirth now due to Nx
89.
by functional_dev 6mo ago
The backtracking implementation in jq is really the secret sauce for how it handles those complex filters without getting bogged down
90.
by functional_dev 6mo ago
right, attenuation is particularly bad with Starlink because it operates in the Ku and Ka bands... wavelengths are small enough to be scattered by individual raindrops

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