281–290 of 338 posts
Honestly, this is an awesome use of DALL-E and I'll probably start doing the same for my blog It's perfect because: - The images just need to get across a vibe, they don't need to be perfect - It's a low-value enough use of images that you'd probably never commission a human artist to do them; instead you'd either use stock photos, or skip having images completely - The nature of header images for a tech blog tends t…
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> The images just need to get across a vibe, they don't need to be perfect I dislike super generic stock photo at the beginning of an article. It’s completely pointless, sometimes aesthetically unpleasant, often disconnected with the actual content, and hence a distraction. If neither you nor the reader cares about the stock photo, why not just forsake the thumbnail or use your website’s logo?
It seems pointless but it works. Our monkey brains like aesthetics. From the article: > Blog posts with images get 2.3x more engagement
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I find the images to be incredible, but it's very unsettling when you focus on certain details like hands, feet, and eyes. The hands and feet that it draws are almost always mangled, and while it does a good job of drawing an individual eye, it doesn't seem to draw two eyes in a well coordinated manner, either one eye is bigger than the other, or there is something weirdly unsymmetrical about the eyes that makes the…
> The hands and feet that it draws are almost always mangled I really, really REALLY don't like this fact and I won't be using or endorsing the technology until it's improved. I also always hated the "deep dream" pictures of lovecraftian dog horrors
Am I one of the few people who finds these generated pictures really bad? They often have weird and unsettling details when you look closely. I mean, it’s an incredible achievement in AI that we can generate images at this level, but I don’t want them shown to me on a daily basis while I’m reading blogs.
For maximum coherency, you have to make batches of 50 - 100 and pick the best one. Which can be time consuming and expensive.
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For maximum coherency, you have to make batches of 50 - 100 and pick the best one. Which can be time consuming and expensive.
I truly wonder if there will a 'image picker job' in the future. A person who creates dall-e images for clients and picks the best for them.
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but if that thumbnail is from an AI-generated image, it has no value. tech blogs don't need to follow the same practices as clickbait farms. the audience is very different
How would you even know it's AI generated at this point? Did you see the images generated by the author of the article? They might as well have been made by a human digital artist
the infotainment/clickbait/gossip websites do that because they know their target audience. you don't need to do that on your tech blog
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Nobody knows whether or not training a NN is fair use. If it were ruled to be not fair use then it would basically shut down a large chunk of ML research in the US, as it's not just Copilot that is training on copyrighted data. All the large language models require copyrighted data such as web crawls as there is just not enough public domain material around. So even if you are right, and courts rule that training is…
We could you know… ask people to donate content to these systems. They could train on Creative Commons and ask Twitter to build image license options in to their UI, then train on all the freely licensed images. So we could actually follow copyright laws and still have an ML industry. But I’m not sure big tech wants to ask the public for consent. They would rather have free reign to do whatever they want. By the way…
Am I one of the few people who finds these generated pictures really bad? They often have weird and unsettling details when you look closely. I mean, it’s an incredible achievement in AI that we can generate images at this level, but I don’t want them shown to me on a daily basis while I’m reading blogs.
For maximum coherency, you have to make batches of 50 - 100 and pick the best one. Which can be time consuming and expensive.
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open source isn't the same as public domain. the code is still copyrighted and has a specific license that has to be adhered to in order to be allowed to use it
Nobody knows whether or not training a NN is fair use. If it were ruled to be not fair use then it would basically shut down a large chunk of ML research in the US, as it's not just Copilot that is training on copyrighted data. All the large language models require copyrighted data such as web crawls as there is just not enough public domain material around. So even if you are right, and courts rule that training is…