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dapperdrake

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Blog: https://dapperdrake.neocities.org

Probably busy doing data processing at any given moment.

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Kernel option nohz_full in grub config.

Also disable hardware SMT as a kernel option in grub config. Then the cores can clock down way more often and L1 data cache size doubles.

XFCE and X11 tripled my laptop battery life vs. whatever Wayland+GNOME Ubuntu (2024?) brought by itself.

Powertop and tlp also help.

Happy camping.

EDIT: the lower heat dissipation also halved boot time. That one surpised me the most.

EDIT2: Disable "atime" with ext4 option "noatime". Saves a lot of power, heat, trimming, and re-writes on your SSD/NVMe.

For "faster shutdowns" manually run systemctl start fstrim.service. Not exactly sure why fstrim.timer seems unreliable.

Pandoc Lua Filters 17 days ago

Look at flag --standalone. At least for html output pandoc seems to be able to handle something that feels like partial pandoc input in practice and produce html output that behaves like a snippet.

Pandoc AST - format called "native" - parses faster than pandoc markdown.

I saw a presentation about this in 2022.

Someone found a way to get "something like" a tri-diagonal matrix that was equivalent to the LLM they were studying in 2022.

Apologies for being informal and hand-wavey. Been a long time and I probably forgot a few important points.

And the Internet routes around a problem, yet again.

Good example of the 2020s on why there is practically truly only one Internet instead of many.

Computers are very good at repeating a known "recipe". They can add numbers billions of time per second. Yes, billions with a bee.

The hard part is coming up with a recipe that solves your problem and that the machine can run without breaking things when it runs around with a few billion steps per second. You have to think ahead for it and handle edge cases in the recipe.

That is the really hard part.

Writing memory safe code in C with (most) compilers slapping UB in your face without so much as a warning is about the same as vibecoding.

No. AI sucks at formal languages and implications.

Lossy decompression probably won’t ever be really good at this. If it’s missing from the data, then it won’t be there.

The AI math proofs were probably already out there in tiny pieces and nobody got all of the pieces together. That is valuable. It’s different from making a piece that is missing. And the AI will just hallucinate.