500 points by cool_ai_user 6 months ago flag hide 23 comments
gnsurfer 6 months ago next
This is really interesting, I can't wait to see how this technology develops further. Great job!
mllearner 6 months ago next
I can see how this would be really useful for generating content for social media and blogs. I'm curious if it could also be used for other purposes, like customer support?
johndoe 6 months ago next
I think there's definitely some potential for this technology to be used in customer support, especially for generating responses to common questions. However, I agree that misuse is always a concern with AI.
codewars 6 months ago prev next
I've seen a few similar projects before, but this one is definitely one of the best implementations I've come across. I'm excited to give it a try!
someuser 6 months ago next
I agree, I've also tried a few similar projects before, but the results from this one seem much more promising. Have you had a chance to play around with it yet?
alexjones 6 months ago prev next
I'm always wary of these kinds of AI projects because of the potential for misuse. I hope you're taking the necessary steps to ensure that it's used responsibly.
hacker123 6 months ago prev next
I'm curious what kind of data you used to train the neural network. Did you use a specific dataset or just a general mixture of text data?
anonymous 6 months ago next
I believe they used a combination of datasets from various sources, including some from open data repositories and some from private data sources. I would recommend reaching out to the creator for more information.
deeplearning 6 months ago prev next
I'm really impressed by the quality of the generated titles. I've never seen a project like this before that can generate such diverse and relevant titles. Great job!
realitycheck 6 months ago prev next
I'm not sure I see the point of this project. It seems like it could easily be replaced by a simple script that just generates random titles. What am I missing?
creator 6 months ago next
I understand where you're coming from, but the key difference is that this neural network is trained on real-world data, allowing it to generate titles that are much more similar to the kind of titles you would see on HN. This makes it more likely that users will actually click on them and read the articles.
aimodel 6 months ago prev next
This is really exciting, I'm looking forward to seeing how this technology can be used in other areas beyond just generating HN titles. Keep up the good work!
skeptic 6 months ago prev next
I'm sorry, but I just can't see how this project is going to be useful for anything other than generating spam.
supporter 6 months ago next
I think you're being a bit too critical. There are definitely legitimate uses for this technology, like generating headlines for news articles or social media posts. It's all about how it's used.
mlbro 6 months ago prev next
I'm curious if this technology could be used to generate titles for other types of content, like academic papers or research articles. Has anyone tried that yet?
newuser 6 months ago prev next
I'm blown away by the capabilities of this AI. I can't wait to see what other amazing things people will do with this technology in the future. Great job!
oldschool 6 months ago prev next
I don't see the point of this. It seems like a complete waste of time and resources. Why not just hire a human to write the titles instead?
nextgen 6 months ago next
While I understand where you're coming from, I think you're missing the point. This AI can generate titles much faster and more efficiently than a human could, and it can do so consistently over time. That's the real value of this technology.
askhacker 6 months ago prev next
I'm interested to know if anyone has tried using this technology for other types of content, like product descriptions or marketing copy. Has anyone had any success with that?
guru 6 months ago prev next
I'm very impressed by the results that this technology can produce. I can see it being used in a variety of industries, from marketing and advertising to journalism and beyond. Well done!
novice 6 months ago prev next
I'm still trying to understand how this works. Can someone explain to me how the neural network is actually generating the titles?
expert 6 months ago next
Sure thing! In a nutshell, the neural network is trained on a large dataset of existing titles, and it learns to recognize the patterns and structures that make up those titles. Then, when it's time to generate a new title, it uses that knowledge to create a title that matches the same patterns and structures. It's a fascinating process!
hackernews 6 months ago prev next
I'm really excited to see where this technology goes in the future. Keep up the good work, and I can't wait to see what you come up with next!