I think OPs point is they failed on this part. "Making it happen" should have been ensuring a compliant and approved version of the software was the one made available to the developers.
At a large scale that is done via device management, but even at a medium sized enterprise that should have been done via a source management portal of some sort.
I'd be interested to know why buying, installing, jerryrigging, and (presumably every time you did a load of laundry) hooking and unhooking collapsible hosing for a washer and dryer in a bedroom you worked from, was in any way more convenient or cheaper or useful than just using the communal laundry room or a dedicated laundry service?
Don't forget "almost dying from toxic air pollution" too
I was in a similar situation and my solution was to just buy enough clothes and not get them dirty when wearing so that it would last me about 2 months between having to do laundry. But I didn't have communal laundry, I had to drive across town to a public laundry.
I'm hosting a VSCode server with Termux/Ubuntu container on my old Pixel 6a and I cannot overstate how awesome it is for just a fun dev setup, especially with a tablet. Easy to nuke and start clean too!
The only reason I haven't gone over to Linux is gaming with my RTX card. Interested to know your gaming setup and distro. Any stability/compatibility issues?
I like this. I'm going to see if my boss will go for me changing my title from Solutions Architect to Solutions Commissioner. I'll insist people refer to me as "Commissioner ajcp"
I have a pretty deep "smart home" setup and it's all run locally from a laptop in my closet with Home Assistant OS. I have run into 0 limitations. All my devices are kept on their own dedicated Zigbee mesh and/or network separate from my LAN. Only way to communicate in or out is via Tailscale. It's incredibly easy to get started too.
I doubt it, although it's possible these models will be used for creator tools, I believe the main idea is to use them for data labeling.
At the time the first SAM was created, Meta was already spending over 2B/year on human labelers. Surely that number is higher now and research like this can dramatically increase data labeling volume
> I doubt it, although it's possible these models will be used for creator tools, I believe the main idea is to use them for data labeling.
How is creating 3D objects and characters (and something resembling bones/armature but isn't) supposed to help with data labeling? As synthetic data for training other models, maybe, but seems like this new release is aimed at improving their own tooling for content creators, hard to deny this considering their demos.
For the original SAM releases, I agree, that was probably the purpose. But these new ones that generate stuff and do effects and what not, clearly go beyond that initial scope.
FWIW there are actually 4 books in the Three-Body Problem "trilogy". The Redemption of Time was written by a fan who felt the series didn't provide closure and was recognized as canon by Cixin Liu.
I think OPs point is they failed on this part. "Making it happen" should have been ensuring a compliant and approved version of the software was the one made available to the developers. At a large scale that is done via device management, but even at a medium sized enterprise that should have been done via a source management portal of some sort.
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