Have tried it and its gestures are impressively configurable but key-based - having to configure every single key for every single language to delete a word on left swipe &c. is a little too much. All these things would be visible on every key with no way to hide them, which feels like wires sticking out. There're no actions for scrolling through correction options. As far as I can tell, neural prediction is specifically for swipe typing and I don't use swipe typing. And it supports just a handful of languages too. But thank you!
It appears there's a PR for gestures already, but there's a non-zero probability it won't be merged because of unexpected patents out of all things. Wonderful.
Yes, because I consider how the keyboard feels too. FlorisBoard felt better than Heliboard to my brain. And its action bar can be configured to always display above the correction bar.
Thank you, I've given it a try. It feels less bad than the other options I tried, probably forking it and adding missing gestures and small improvements could improve it much more. But text correction is still like in Heliboard.
termux-sms-list returns messages in JSON, which is easy enough to handle with, say, jq in bash or json in python. The script itself can be a simple loop that fetches the latest messages every few minutes, filters for unprocessed ones from whitelisted numbers and calls termux-sms-send.
Maybe it'd make sense to daemonise the script and launch it via sv.
Have been using Neo Launcher since it had the features I needed from Nova (mostly hiding most apps from the app list while having them on the home screen in some folder so that it isn't a mess when you want to find something specific). It hasn't been updated in a while, but it works perfectly fine for me.
A piece of plastic broke off from my laptop once. It was supposed to hold one of the two screws fixing the cover of the RAM & drive section and now there was just a larger round hole. I've measured the hole and the screw, designed a replacement in Blender (not identical, I wanted something more solid and reliable) and printed it; took two attempts to get the shape perfectly right. Have had zero issues with it in all these years.
What I've ultimately converged to without any rigorous testing is:
using Q6 if it fits in VRAM+RAM (anything higher is a waste of memory and compute for barely any gain), otherwise either some small quant (rarely) or ignoring the model altogether;
not really using IQ quants - afair they depend on a dataset and I don't want the model's behaviour to be affected by some additional dataset;
other than the Q6 thing, in any trade-offs between speed and quality I choose quality - my usage volumes are low and I'd better wait for a good result;
I load as much as I can into VRAM, leaving 1-3GB for the system and context.
Oh, forgot about healing wells, thanks for the reminder. You should probably be able to throw the ankh directly too? But I don't encounter them every run (e.g. didn't have any this one) so they aren't reliable.
I know ascending is easy (did it many times, though only with 0-1 challenges, none of them Swarm Intelligence) and adds a 1.25 multiplier and I'll do it when I go for that badge - but I didn't plan for it (thought 6 challenges would be 2-3x harder than it turned out) so I wasn't prepared to ascend this run. I'd have probably died in the 21-24 zone.
So you think it should be On Diet? Hmm, maybe. But exploration with both On Diet and Into Darkness will be challenging.
There're "genuine" instances of hapax legomena which probably have some semantic sense, e.g. a rare concept, a wordplay, an artistic invention, an ancient inside joke.
There's various noise because somebody let their cat on the keyboard, because OCR software failed in one small spot, because somebody was copying data using a noisy channel without error correction, because somebody had a headache and couldn't be bothered, because whatever.
Once a dataset is too big to be manually reviewed by experts, the amount of general noise is far far far larger than what you're looking for. At the same time you can't differentiate between the two using statistics alone. And if it was manually reviewed, the experts have probably published their findings, or at least told a few colleagues.
Transformers are VERY data-hungry. They need enormous datasets.
So I don't think this approach will help you a lot even for finding words and phrases. And everything I've said can be extended to semantic noise too, so your extended question also seems a hopeless endeavour when approached specifically with LLMs or big data analysis of text.
The rest of the instructions are all valid n-controlled Toffolis and Hadamards, but of course mostly Toffolis since it's replicating a classical algorithm. There is no quantum advantage, it's just a classical algorithm written in a format compatible with a quantum computer.
Add small errors to the quantum simulator (quantum computers always have those) and all'll break entirely - apparently (1) no error correction was used and (2) it's just logic gates for Doom rewritten as quantum gates. No wonder the author got bored, I'd be bored too.
Have tried it and its gestures are impressively configurable but key-based - having to configure every single key for every single language to delete a word on left swipe &c. is a little too much. All these things would be visible on every key with no way to hide them, which feels like wires sticking out. There're no actions for scrolling through correction options. As far as I can tell, neural prediction is specifically for swipe typing and I don't use swipe typing. And it supports just a handful of languages too. But thank you!
It appears there's a PR for gestures already, but there's a non-zero probability it won't be merged because of unexpected patents out of all things. Wonderful.
Yes, because I consider how the keyboard feels too. FlorisBoard felt better than Heliboard to my brain. And its action bar can be configured to always display above the correction bar.
Thank you, I've given it a try. It feels less bad than the other options I tried, probably forking it and adding missing gestures and small improvements could improve it much more. But text correction is still like in Heliboard.
Should be doable with Termux:
termux-sms-listandtermux-sms-sendcommands);termux-sms-listreturns messages in JSON, which is easy enough to handle with, say,jqin bash orjsonin python. The script itself can be a simple loop that fetches the latest messages every few minutes, filters for unprocessed ones from whitelisted numbers and callstermux-sms-send.Maybe it'd make sense to daemonise the script and launch it via
sv.But the Termux app weighs quite a bit itself.
Have been using Neo Launcher since it had the features I needed from Nova (mostly hiding most apps from the app list while having them on the home screen in some folder so that it isn't a mess when you want to find something specific). It hasn't been updated in a while, but it works perfectly fine for me.
But 22301 isn't prime? It's 29*769.
A piece of plastic broke off from my laptop once. It was supposed to hold one of the two screws fixing the cover of the RAM & drive section and now there was just a larger round hole. I've measured the hole and the screw, designed a replacement in Blender (not identical, I wanted something more solid and reliable) and printed it; took two attempts to get the shape perfectly right. Have had zero issues with it in all these years.
Thanks! I now see that Tai Chi is mentioned frequently online in context of the film unlike yoga so that should be right; it narrows things down.
https://www.youtube.com/watch?v=wKiIroiCvZ0
KOReader supports custom CSS. You can certainly change the background colour with it, I think a grid should be possible too.
That's the ones, the 0414 release.
QWQ-32B for most questions, llama-3.1-8B for agents. I'm looking for new models to replace them though, especially the agent one.
Want to test the new GLM models, but I'd rather wait for llama.cpp to definitely fix the bugs with them first.
What I've ultimately converged to without any rigorous testing is:
Maybe some Borges too?
I knew a Horn of Plenty is a good choice, but I didn't think it's that good. Thanks!
Oh, forgot about healing wells, thanks for the reminder. You should probably be able to throw the ankh directly too? But I don't encounter them every run (e.g. didn't have any this one) so they aren't reliable.
I know ascending is easy (did it many times, though only with 0-1 challenges, none of them Swarm Intelligence) and adds a 1.25 multiplier and I'll do it when I go for that badge - but I didn't plan for it (thought 6 challenges would be 2-3x harder than it turned out) so I wasn't prepared to ascend this run. I'd have probably died in the 21-24 zone.
So you think it should be On Diet? Hmm, maybe. But exploration with both On Diet and Into Darkness will be challenging.
My intuition:
So I don't think this approach will help you a lot even for finding words and phrases. And everything I've said can be extended to semantic noise too, so your extended question also seems a hopeless endeavour when approached specifically with LLMs or big data analysis of text.
Of course:
Add small errors to the quantum simulator (quantum computers always have those) and all'll break entirely - apparently (1) no error correction was used and (2) it's just logic gates for Doom rewritten as quantum gates. No wonder the author got bored, I'd be bored too.
LLaMA can't. Chameleon and similar ones can: