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Valve Prepares for Steam Frame Launch with Android Upload Options in Steamworks
(www.techpowerup.com)
Good moderation and support staff are expensive.
paraphrand
joined 2 years ago
You telling me I can install Bazzite on a 486?
Your typical Arch install? Steam OS? Ubuntu?
First tracking pixels, now hacking pixels.
I guess it was just as simple as you say, I was just looking for a “yeah, that’s how it is.” I guess. I was having a conversation, looking for a clear reflection that I was correct or not.
But also, I feel like there must be room for exploration here, since mixing AI generated with hand written is a thing. And there must be something around the facilitation/collaboration part. It feels like it’s not just as simple as free code that is controlled via access to the source.
I totally understand that purely generated output is not copyrightable. That’s clear. But I feel like there must be grey area yet to be litigated.
Can I legally reverse engineer AI generated software? Does it matter what modules are hand written and what ones are not when I reverse engineer it? How is this accounted for in licenses? Terms of Service?
Can you even put terms and conditions on this supposed public domain copyright free compiled software product? Etc. etc.
Is the compiled version even different than the raw AI generated source code in its ability to be licensed?
How do you prove code is AI generated? How do you pick it apart when it’s only ai augmented?
This is why I’m asking the questions I am. It just doesn’t feel like it all hangs together clearly.
What rights does one have to AI generated code? Be it compiled or source.
Did YouTube have manual review in the first years? Apple has always had review.
Yes, but can it be licensed. Why is my question so confusing? Is copyright a prerequisite to a license?
Wow, that’s pretty damming. Three of them? This can’t be a random absurd error like it plausibly could have been for the first one reported.
The chain of events is likely not starting with social media. But I’m sure what you are saying is true for a certain small percentage of people.
Especially since AI has a history of being people pleasing.
This timeline is relentless.
That’s… that’s a lot of hard drives. Or a lot of rented server space.
And AI code is unable to be licensed? Because there is no copyright? I can’t just put a restrictive license on it that says only people who meet an impossible criteria can use it? Thus blocking use?
How does this apply to software made by, say, Anthropic? They proudly say Claude Code is written by AI. If it can’t be copywritten, or licensed, then it’s just a matter of figuring out how to acquire a copy of the source code, and you could do whatever with it. Right?
cross-posted from: https://ibbit.at/post/37907
Some readers may recall the Lynx-R1 headset — it was conceived as an Android virtual reality (VR) and mixed reality (MR) headset with built-in hand tracking, designed to be open where others were closed, allowing developers and users access to inner workings in defiance of walled gardens. It looked very promising, with features rivaling (or surpassing) those of its contemporaries.
Founder [Stan Larroque] recently announced that Lynx’s 6DoF SLAM (simultaneous location and mapping) solution has been released as open source. ORB-SLAM3 (GitHub repository) takes in camera images and outputs a 6DoF pose, and does so effectively in real-time. The repository contains some added details as well as a demo application that can run on the Lynx-R1 headset.
The unusual optics are memorable. (Hands-on Lynx-R1 by Antony Vitillo)
As a headset the Lynx-R1 had a number of intriguing elements. The unusual optics, the flip-up design, and built-in hand tracking were impressive for its time, as was the high-quality mixed reality pass-through. That last feature refers to the headset using its external cameras as inputs to let the user see the real world, but with the ability to have virtual elements displayed and apparently anchored to real-world locations. Doing this depends heavily on the headset being able to track its position in the real world with both high accuracy and low latency, and this is what ORB-SLAM3 provides.
A successful crowdfunding campaign for the Lynx-R1 in 2021 showed that a significant number of people were on board with what Lynx was offering, but developing brand new consumer hardware is a challenging road for many reasons unrelated to developing the actual thing. There was a hands-on at a trade show in 2021 and units were originally intended to ship out in 2022, but sadly that didn’t happen. Units still occasionally trickle out to backers and pre-orders according to the unofficial Discord, but it’s safe to say things didn’t really go as planned for the R1.
It remains a genuinely noteworthy piece of hardware, especially considering it was not a product of one of the tech giants. If we manage to get our hands on one of them, we’ll certainly give you a good look at it.
From Blog – Hackaday via this RSS feed
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It uses less VRAM? That doesn’t sound right. Does it encrypt or obfuscate video memory contents? That sounds implausible too.
Why does it use more VRAM? And no need for generic “because it sucks” comments.