A friendly reminder since it's probably relevant: when's the last time you tested disaster recovery for your own setup? If you haven't verified recovering it, you don't have an offsite backup.
I had a cloud backup (Backblaze B2, using rclone and encryption) for my home NAS. Some unlucky drive failures later, I was getting ready to recover from my Backblaze backup... and then I couldn't find/remember where I saved the rclone encryption backup.
I lost all data in that NAS, including irreplaceable personal/family photos, due to that mistake. My lesson to share: please verify you can indeed recover from backups.
First: Do you have backups of your single high-capacity HDD? That's my biggest worry. What's your plan for when that HDD fails one day, as it will?
The main reasons people go for ZFS and a "NAS" is checksums and data integrity protection, as well as maybe not wanting to keep their primary machine awake all the time (I personally don't).
Then there are useful features like snapshots, which means I don't have to worry as much about accidentally deleting, or over-writing a file and losing data.
I don't see anything wrong with using a main machine that's up 7x24 as a NAS, don't buy things for the sake of something, but I'm worried about your reliability and bitrot protection. (Yes, it happens, I've seen it first-hand thanks to ZFS).
Xbox Live Arcade, and the accessibility it bought for smaller studios and indie developers was massive.
You could say it's just a response to Steam and the PC gaming indie scene, sure, but the 360 era is definitely one where Microsoft hit all their strides. Then they ruined it with the Xbox One.
I might be looking at the Kinect with rose-tinted glasses, but bringing depth and camera-based pose tracking to the masses in 2010 is pretty impressive.
Sure they were chasing the Wii, but they did try to innovate on the hardware and capability front, and back then VR was nascent, but investing in this area for gaming made sense then (it was very easy to imagine VR games being the 'next big thing').
Unlike Nintendo, Microsoft couldn't really figure out good and fun gameplay for Kinect. Basically only dancing games took advantage of it well IMO?
The scale is also very different. Costco earned $70.53 billion in a recent quarter (not 5B here). Their operating margin is 3.93%, which is also healthier.
I really love the coil whine of my GPU (a 5090 FE) when it’s doing LLM stuff. I can hear the different stages, like prefill and decode, and the sounds actually make me reminisce about dial up.
Basically like passes@6 or passes@5 if you’re doing a benchmark, except for your real tasks.
Pro is quite limited on the web UI I reckon. This approach can be highly effective for reasonably verifiable task, for example, write comprehensive unit tests pointing out a tricky bug, get multiple agents to swarm at it.
How are you so sure that frontier API models are always running the same quant/weights/etc? You think OpenAI and Anthropic are running essentially just vLLM endpoints? Of course not.
This can be verified pretty quickly like OP — count the token metrics, if your context contains classifier-firing terms, you’ll see input_tokens being higher than your input.
So if they’re already doing that, what makes you think it’s just a dumb API, instead of a complicated pipeline filled with trade secrets and optimisations?
Unless stated otherwise, opinions here are my own and personal.