I appreciate the way you did things. Here is mine. Mine is a bit more hierarchical, and bit more abstracted (especially in the flake), but I wouldn't say one way is better than another.
thejevans
joined 2 years ago
Ah yes, the classic diff eq exam problem
It's even simpler than that: In the first instance a human learned a thing. In the second instance a bunch of humans wrote software to ingest art and spit out some Frankenstein of it. Software which is specifically designed to replace artists, many of whom likely had art used as inputs to said software without their consent.
In both cases humans did things. The first is normal, the second is shitty.
Sorry, just to be clear, are you equating a human learning to an organization scraping creative works as inputs for their software?
The OSI doesn't require open access to training data for AI models to be considered "open source", unfortunately. https://opensource.org/ai/open-source-ai-definition
I agree that "open weights" is a more apt description, though
uh sure. My point is that sharing weights is analogous to sharing a compiled binary, not source code.
"Wait, so we have all the technology we need to stop climate change, but we have to sacrifice some profits to do so?
Well, since it's impossible to stop climate change with current technology, I guess we just have to dump chemicals into the atmosphere and hope for the best."
The definition of "open source" AI sucks. It could just mean that the generated model weights are shared under an open source license. If you don't have the code used to train the model under an open source license, or you can't fully reproduce the model using the code they share and open source datasets, then calling a model "open source" feels weird as hell to me.
At the same time, I don't know of a single modern model that only used training data that was taken with informed consent from the creators of that data.
Invidious is switching to a new paradigm where the part that talks to YouTube will be split out into it's own service called invidious-companion. While not part of the current release, they have instructions for setting it up, and it's what I'm currently using. The only things that don't work right now are live videos and the Clipious Android TV app (the phone app works fine). If you don't need either of those things, I recommend starting with invidious-companion
My self-hosted Invidious instance is still going strong
some other resources not yet mentioned:
some advanced tools that are worth knowing about
things I've set up that are kinda neat:
PC
- Nobara Linux
- Fractal Torrent
- Asus Proart B550
- AMD Ryzen 5800X3D
- Noctua NH-D15
- GSkill 2x16GB DDR4-3600
- Powercolor Hellhound 7900XTX
- Sabrent Rocket 4.0 1TB
- Crucial P3 Plus 4TB
- Asus WiFi 6E card
- Be Quiet Dark Power 13
Husky height adjustable workbench
- DT770 Pros
- AT2040 Mic
- Yamaha MG06X Mixer
- Focusrite Scarlett 8i6 3rd gen
- Drop BMR1 speakers
- P.I. Engineering L-Trac
- ESP32-S3-Box3
- Sony Dualsense
- BenQ lightbar
Glorious GMMK Pro
- GMK WoB
- holy pandas + tealios v2
Monitors
- Gigabyte M27Q-X
- LG Dualup
Camera
- Sony a5100
- Sigma 16mm f/1.4
- no-name LED panel
- Amaran 100d
cross-posted from: https://lemmy.ml/post/6372946
A few friends asked for me to walk through how I set up the dashboard I have in my kitchen, so I figured I'd share it here, too. Here is a barebones walkthrough with config files.
A few friends asked for me to walk through how I set up the dashboard I have in my kitchen, so I figured I'd share it here, too. Here is a barebones walkthrough with config files.
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The violations they are trying to mitigate via enforcement are symptoms of non-existent safe bike infrastructure and insufficient bike parking. There are no plans in the immediate future to solve either issue.
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ooo thanks! I haven't looked into that in a while