

Hmm. I’ll have to look into this. Thanks for pointing it out. If you happen to have links to more info, please share.


Hmm. I’ll have to look into this. Thanks for pointing it out. If you happen to have links to more info, please share.


Let her skydive


I think most of their value was as a streaming backend for other companies, not their user-facing video sharing platform.


You can just email them to yourself to get the code for sharing.


Thanks!


Nice! You can definitely just browse through each category to get a sense of which creators are on there, it’s not a huge list. In the “Explore” screen, click on “Channels” first, then browse through the categories to see creators in each category. The “Latest activity” sort is also good to find active creators. For example: https://nebula.tv/explore/channels?category=gaming&sort=lastUpdated&order=desc
For videos, it might be worth filtering by “Original” and “Plus” if you’re looking for higher quality content. Many of the channels have lot of older archived content, which is worth going through if you’ve found a creator you like. Though I mostly just check the “Everything” category for new videos to discover creators.
And of course their homepage is updated regularly with featured creators and categories.


Sweet! Thank you.


Heck yeah. Thanks!


So this whole story exists because the bigots came out of the woodwork to squee at the acronym? Good then, let them show themselves and burn in the sunlight. The acronym did its job.


I mean, no one is forcing you to memorize it.


I’m very surprised they’re even doing this.


So you don’t want to hold OpenAI and Sam Altman accountable. Got it, thanks.


I understand you’re trying to consider both sides of this for the sake of argument, but the issue I have with it is that it is justifying current real world harm in the name of hypothetical (arguably unlikely) future benefit.


I want OpenAI to be held accountable, don’t you?


Maybe voice over, narration, stock photography, copy writing.


I’m not so sure that power usage should be dismissed so easily just because it is distributed instead of centralized. The slop per watt rate may even be worse than at a datacenter. Fundamentally, we should care more about efficiency.
Imagine a panel of 20 standard LED light bulbs. That’s 180 watts, roughly the equivalent of GPU usage while a local LLM is doing any work. If you keep that in mind, then you have to ask yourself if the benefit you’re getting out of your local LLM is really worth that energy cost. Now, monetarily speaking, that’s not a ton of money, because electricity is cheap, but would you flip that switch for the duration of the task you’re performing? What if you could use conventional non-LLM methods to do it instead? Would that be more efficient? And where is your electricity coming from? Is it a solar farm, or a coal plant?
How was your local LLM trained? Was there copyrighted material in its training data set? Were low-wage workers asked to sift through horrendous content to clean up the data?
We need to consider the externalities, even when using local LLMs. We moved so quickly from the initial release of ChatGPT to now, that we never stopped to ask those questions. They remain unanswered until someone cares enough to think.


Local slop is still slop


They started the meeting with a prayer about “keeping their minds on the children”, followed by the most robotic sounding pledge of allegiance I’ve ever heard, and then they proceeded to pardon the predator, mostly using religious “grace” as a justification. America!
Buddhist Copilot builds apps with sublime coding standards, and on the last iteration it runs rm -rf * .git before it recites a koan on impermanence.
Well, one counter point. I just searched their videos and found this video from 2026 (that I had already watched, because I do support Palestine). So I wonder if Nebula changed their stance. https://nebula.tv/videos/additionalilyalexandre-life-in-gaza-in-2026-a-chat-with-ahmed-mater Same video on YouTube: https://www.youtube.com/watch?v=dhgpXjGYRNk