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…
notes/docs/wiki is a great use case
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…
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…
*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…
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…
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't able to run…
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
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…
notes/docs/wiki is a great use case
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…
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…
*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…
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…
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't able to run…
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