kyxsc

7 ms·

1.
by kyxsc 6d ago
Yep I run `claude remote-control` as daemons (systemd/launchctl) on whatever paths/repos I wanna be able to create a session from on-to-go. Works really well and is a great use case for work laptops. Same shell, same memories, sam
2.
by kyxsc 29d ago
notes/docs/wiki is a great use case
3.
by kyxsc 29d ago
Sol 5.6 Ultra doesn't seem worth it because its long-horizon task scaling is not that good. Remove the one thing that differentiates these 2 SOTA models (long-horizon task scaling) and you're left with assessing the raw intelligen
4.
by kyxsc 1mo ago
It's great, don't get me wrong, but so is Fable. I'm just comparing the long-horizon task performance between the two at the same or similar effort levels. Given the 50% discount on Sol and how smart it is, yeah it's un
5.
by kyxsc 1mo ago
*The "Max" I referred to was the plan tier, not the effort level btw For small tasks, you can just use something like low or medium effort and it can usually avoid mistakes; after all, the model will test the code anyways and can
6.
by kyxsc 1mo ago
Sol is way too eager to hone in on small details and ends up with massive over-engineering. Fable does it too - to be fair - but noticeably less. After extensively using both on Max 20x plans, I've concluded that Fable is better for p
7.
by kyxsc 1mo ago
for example, models running at like 100-150 tokens/second (or faster!) vs 15 t/s (fable/sol are ~60 t/s, and OpenAI just announced their Cerebras partnership(?) for "ultrafast" mode of 750 t/s) models aren
8.
by kyxsc 1mo ago
Apple is already doing this... they worked with Gemini to distill the model into a smaller one that fits on your phone. If you have iOS 27 Beta, you're already using this