smcleod

This resonates with me and I suspect a lot of others here. As always life is more nuanced that many would have argue.

Back in 2012 we used to give talks about how we ran all our CI builds in LXC containers, that came about because a bunch of us came from the BSD / Solaris world of jails and it just felt natural.

The folks at infracoders / DevOps meetups would think we were a bit "out there", then what do you know - 2013 rolls around and we quickly started to shift to Docker (too early some might say), but not long after shifting from LXC to Docker it seemed many others finally started to come round to containerisation.

Fast forward to 2026 and I've recently done some work with a client who is only just "getting into containers" (a Windows shop).

Thanks for your early work to bring better containerisation to Linux Solomon. It's funny to think we're 13 years from Dockers release. Time flies.

Both the AMD Ryzen 395/495 and the Spark have terribly slow bandwidth, their performance is slower than a M2 max, akin to just an M4 Pro or RTX 4060.

Why? Loads fine on iOS 27 Safari.

If you were only paying $20 for LLMs previously then you were getting very low usage / little done.

I wouldn't allow your terminal full disk access, that's quite a risk vector.

That's legitimately a good idea. I just contributed more to open street map in 5 minute than I have in 15 years.

I can't vote in America. The rest of the world is at the mercy of those within America that can as long as we're dependant on American products and services.

"The corpus, and the refresh that changed the answer" ... hello Opus 5.

I largely agree with this take. Unfortunately I think capitalism's political pressures have too much of a grip on society for there to be meaningful changes to the power dynamics that perpetuate the status quo.

Surely it's simply software that has its own kernel, that could be booted to from BIOS/uEFI or any other low level hardware initialisation process.

Yeah that can't be right, my M5 Max gets almost those speeds and certainly lot faster than what they're claiming the M3 ultra gets. Maybe they didn't have the model setup right or were running it with some unnecessarily high quant (>=8bit).

Considering how far backwards Google has gone since the release of the 3.x models, the brain drain they've let happen, the lacklustre software ecosystem and their track record with product management ... I would say they're more likely to drop trying to compete at the frontier and try to focus on something else instead.