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Posts
3
Comments
369
Joined
3 yr. ago

  • It will get better, but in the mean time you just manually tell the AI to try again or adjust your prompt. I don't get the negativity about it not being perfect right off the bat. When the magic wand tool originally came out, it had tons of jagged edges. That didn't make it useless, it just meant it did a good chunk of the work for you and you just needed to manually get it the rest of the way there. With stable diffusion if I get a bad hand you just inpaint and regenerate it again until it's fixed. If you don't get the composition you want, just generate parts of the scene, combine it in an image editor, then have it use it as a base image to generate on top of.

    They're showing you the raw output to show off the capabilities of the base model. In practice you would review the output and manually fix anything that's broken. Sure you'll get people too lazy to even do that, but non lazy people will be able to do really impressive things with this even in its current state.

  • To make that statement a little more accurate, I'm afraid of the humans that will abuse this technology and societies ability to adapt to it. There's some amazingly cool things that can come about from this, like all the small indie creators that lack the connections and project management skills to make their ambitions come to life will be able to achieve their vision, and that's really cool and I'm excited for that, but my excitement is smashed from knowing all the bad that will come with this.

  • This is a base model, just because it's 90% there on its own doesn't mean you can't improve on it by adding extra safe guards. For example you can get LLMs to be more accurate by asking another LLM to proofread the work. I am frankly amazed that the base models are this good to begin with. I was totally expecting to need way more safeguarda from the get go, but we're getting a lot even without them. But I fully expect there to be AI tools that are specialized to identify where the base model messes up and then corrects it.

  • Because it's trained on videos of the real world, not on 3d renderings.

  • The hardest part of coding is managing the project, not writing the content of one function. By the time LLMs can do that it's not just programming jobs that will be obsolete, it will be all office jobs.

  • You mean like in ps1 twisted metal?

  • We need both. We need companies to do more to make things out of easier to recycle or compost materials, and we need consumers to do more to separate things to make them easier to recycle. It's far too late to push responsibilities around, we all need to be responsible.

  • There's also software improvements to consider, there's a lot of room for efficiency improvements.

  • He was probably not being literal with the number, but when you're the head of a computer chip hardware company you should pick numbers carefully.

  • I thought it did too, but this post says it's different? Maybe they're wrong. I haven't double checked.

  • Grandma there looks like she has land. Pretty fucking hard to get land nowadays. There used to be a time that it was being literally given away

  • If you fuck up at work you get fired. If your work fucks up, you get fired. How is that fair?

  • The better approach would be to prepare the update in the background and swap out the version on the next start

  • You can simplify the statement as "Billionaires are behind the climate crisis"

  • As much as I'm worried about military autonomous drones, I'm even more worried about guerilla autonomous drones. With off the shelf AI becoming more and more accessible it's not too hard to imagine a moderately smart person being able to make autonomous killing drones using off the shelf materials. It doesn't even need to be autonomous. In the Ukraine war hobbyists have been able to help the war effort by Jerry rigging together bombs onto commercial drones. I'm grateful but shocked that there haven't been any major drone based terrorist attacks, and I'm not sure how they can be defended against.

  • Every now and then trump says something where I think surely that had to have been taken at least slightly out of context, but nope, it's practically verbatim. Every single time.

  • That's the big question. How will we verify anything as real?

  • I think the problem with the term AI is that everyone has a different definition for it. We also called fancy state machines in video games AI too. The bar for AI has never been high in the past. Let's just call autonomous algorithms AI, the current generation of AI ML, and a future thinking AI AGI.

  • I'm equating probability with guessing here, but yes there is a nuanced difference.