ed_mercer

When I saw 2 vCPU and 4GB, and then below that "4 GB persistent disk" I was like ooohhh it's the disk, not the memory. But it IS actually 4GB memory + 4GB disk.

This was so fulfilling to do on x.com

jev is optimized for it, a standard LLM isn't and it also costlier and slower.

So are they going to release this tuned model? Or keep it for themselves?

I also noticed this personally. Consider when an agent says

"Should I start with the spec, or go straight to building it?

Unless you're working on a super crucial piece of engineering, you can probably get away with going straight to building it. Even if something doesn't go the way you intended, I find that it's usually faster to correct the agent later, once the initial implementation is in place. It's more of an iterative approach to building and I feel that it is less cognitively demanding.

Except for VRR, HDR, touch id, video encoding and a sleep mode that doesn't drain your battery.

Does this extend to open models like GLM 5.3? This would mean that simply changing the harness to Pi reduces cost in half?

Lots of criticism here but I think this is extremely promising. When this tech is extended to videos and perhaps even other forms of media, I think it has the potential of stopping all slop!

email? Is a user's email up for grabs just like that?

>I do enjoy using their free AI

It's really not free. You're paying with your data.

you mean something like step level debugging for agents?

Meanwhile, 7 years on my F-91W

Why would you ever connect a TV to the internet in the first place?