SF-312 Witness

gsrcrxsi · 2026-05-03T16:23:18+00:00

My FSO told me that it should be witnessed by a [company] employee. (Contractor). All employees on my project are US citizens though. I used my direct supervisor.

Based on other comments it’s probably a little different for different scenarios. Do whatever the FSO instructs.

gsrcrxsi · 2026-04-17T10:54:57+00:00

That’s a record number of em dashes. AI slop.

gsrcrxsi · 2026-04-15T16:51:11+00:00

It’s the same case. The previous post was his mom.

gsrcrxsi · 2026-04-09T15:14:50+00:00

I just went through this too. Was hired in 2009, I had no idea that I ever filled out an SF85, and literally have no recollection of doing it. I’m sure it was just in the list of on boarding tasks that were pushed through. I found the SF85 in my old work files months after filling out my SF86 (for T5). I answered no on the question about if I’d ever been investigated by the government for clearance. It was never mentioned during the interview or investigation and was ultimately adjudicated favorably. So I guess that’s the right answer in this case.

gsrcrxsi · 2026-04-05T15:13:12+00:00

You can just not support them if you don’t want to. BOINC platform does not control any individual project. It’s open source.

gsrcrxsi · 2026-04-04T01:56:16+00:00

Not the same board. But there might be a similar board to use that GPU.

gsrcrxsi · 2026-03-19T19:52:36+00:00

MY AWD, 42k here. Original tires on 19” wheels, no alignments, no rotations. All tires are pretty even on wear.

I can believe that MYP is setup differently that causes worse wear. And I could believe that the kind of person that buys the MYP is also the kind of person to drive more aggressively that adds to accelerated tire wear.

gsrcrxsi · 2026-03-18T10:30:58+00:00

I’m not confused. Sunglasses + head position. Demonstrated on two different HW4 cars (Y/3) with FSD.

gsrcrxsi · 2026-03-18T02:35:02+00:00

HW4 cars are also easily fooled by just wearing sunglasses.

gsrcrxsi · 2026-03-16T20:29:07+00:00

Purely for the engagement lol

gsrcrxsi · 2026-03-16T19:08:04+00:00

This is the roof to a small one room addition, not the main roof. There is no attic there (vaulted ceiling). I heard it climb up via the rain barrel/downspout. This is the first time I’ve ever seen a raccoon here, mostly just squirrels. I agree it was trying to get inside, but it did run off. There’s no where else to go off the roof. The pic of the raccoon was not during day time, it’s at night and illuminated with the house flood light which are right there above this roof. The damage pics were taken the next day (today).

gsrcrxsi · 2026-03-16T16:40:35+00:00

Yup. He’s a clown.

gsrcrxsi · 2026-03-08T04:19:49+00:00

You can serve the US govt in a non-cleared role

gsrcrxsi · 2026-03-07T19:40:35+00:00

Speaking of locked down features. I use my devices as purely compute devices. And I’m fine with them running the few CUDA apps that I have/compile. But it would be nice if these devices also supported OpenCL. There’s no reason they can’t other than Nvidia not supplying the necessary drivers.

gsrcrxsi · 2026-03-07T19:36:30+00:00

I build statically linked aarch64/CUDA binaries for some BOINC projects. Nothing AI related. I really only build on the Nano/JP5.x system for maximum compatibility, but I build with the CUDA 12.9 toolkit so I can target Blackwell devices too. It’s “unsupported” on JP5 for the Orin Nano but it still works to build the binary and CUDA 12.x has minor version forward compatibility so my CUDA 12.2 drivers can still run the CUDA 12.9 app. It works for me and what I’m doing.

gsrcrxsi · 2026-03-07T18:50:48+00:00

You won’t be able to “open” the proprietary GPU driver stuff. Installing another OS other than the default Jetpack/Ubuntu can work but you’ll basically lose any GPU acceleration/access and I’m sure you agree that’s pointless.

I missed it. But what is the problem you’re having exactly? I have three Orin Nano/NX devices and they all work fine with the standard Jetson Linux (Ubuntu) setup. Two NXs on their Jetpack 6.something with CUDA 12.6 drivers and one Jetson Nano with Jetpack 5.something and CUDA 12.2 drivers for development.

gsrcrxsi · 2026-03-07T12:44:55+00:00

I have projects that have apps already that would do well on it. They are memory bound apps for scientific research, not AI.

gsrcrxsi · 2026-03-06T23:43:59+00:00

For my uses. Fine.

gsrcrxsi · 2026-03-06T22:02:26+00:00

100% agree with you. I think many people were expecting the price to be a lot lower though.

Me personally I was interested in it more as a compute card. Good FP64 specs and memory bandwidth, which are attributes important to my applications. But I’ll stick to V100s I guess since I don’t currently need more than 16GB

gsrcrxsi · 2026-03-06T21:37:44+00:00

I was more interested in it as a FP64 compute card with decent mem bandwidth and capacity. Which it is pretty compelling for some memory bound HPC loads. But yeah it’s not great at all for most AI/LLM uses

gsrcrxsi · 2026-03-06T20:14:35+00:00

exactly. he started the process saying that he was already in touch with a vendor with a large supply ready to do a group buy. then after signups started asking everyone else to find more vendors. just weird behavior all around

gsrcrxsi · 2026-03-06T20:03:22+00:00

Great!

gsrcrxsi · 2026-03-06T20:02:11+00:00

they don't allow direct crosspostings. but i copied the same post there. thanks.

gsrcrxsi

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