I refreshed and the error went way. Cool site. Luckily performance can always be improved.
Show HN: ML News – Like HN, but for Machine Learning
11–20 of 24 posts
Re: Show HN: ML News – Like HN, but for Machine Learning
#12Monospace? Why?
Re: Show HN: ML News – Like HN, but for Machine Learning
#13This is another site that needs the "invite code" for new users to register?
I know the arguments of controlling the influx of new people and having a trust-chain so that comments are decent etc... but it just feels so elitist.
I just find hypocrisy in the contrast of: - hey, we're a cool new site, we'd like your attention - but you can't be part of the party, you're not one of the cool kids
Re: Show HN: ML News – Like HN, but for Machine Learning
#14Is there any rss feed? I won't check the webpage hourly for new content. Otherwise, it looks cool.
Re: Show HN: ML News – Like HN, but for Machine Learning
#15Re: Show HN: ML News – Like HN, but for Machine Learning
#16Is there any rss feed? I won't check the webpage hourly for new content. Otherwise, it looks cool.
Agreed. This is critical.
Re: Show HN: ML News – Like HN, but for Machine Learning
#17This is another site that needs the "invite code" for new users to register? I know the arguments of controlling the influx of new people and having a trust-chain so that comments are decent etc... but it just feels so elitist. I just find hypocrisy in the contrast of: - hey, we're a cool new site, we'd like your attention - but you can't be part of the party, you're not one of the cool kids
>This is another site that needs the "invite code" for new users to register? I know the arguments of controlling the influx of new people and having a trust-chain so that comments are decent etc... but it just feels so elitist.
Well, we're guilty of that, too. It's not about elitism, we let thirty of our colleague's students use our ML platform[0] for their final year projects, and send invites to people who go to our Slack workspace. There are some things to fix before we can onboard everyone, that's all.
I don't say they're doing it for the same reasons, but it's not necessarily elitism. It can be limited resources, etc.
>but you can't be part of the party, you're not one of the cool kids
You're one of the cool kids. Where do I send the invite link?
- [0]: https://iko.ai
Re: Show HN: ML News – Like HN, but for Machine Learning
#18This is another site that needs the "invite code" for new users to register? I know the arguments of controlling the influx of new people and having a trust-chain so that comments are decent etc... but it just feels so elitist. I just find hypocrisy in the contrast of: - hey, we're a cool new site, we'd like your attention - but you can't be part of the party, you're not one of the cool kids
> This is another site that needs the "invite code" for new users to register? I know the arguments of controlling the influx of new people and having a trust-chain so that comments are decent etc... but it just feels so elitist. Well, we're guilty of that, too. It's not about elitism, we let thirty of our colleague's students use our ML platform[0] for their final year projects, and send invites to people who go to…
Like I said - I understand that there's probably a good reason why you're limiting user numbers, but it's a bad mechanism for doing so.
Good luck, I'll take a pass on the invite, and wait for the site to become open, if that happens. As you're not limiting viewing of articles, I'm not losing much, and the biggest downside is that you'll miss-out on the early adopters and hype-surfers, but mostly it's just bad PR.
Re: Show HN: ML News – Like HN, but for Machine Learning
#19Earlier quoted context omitted.
> This is another site that needs the "invite code" for new users to register? I know the arguments of controlling the influx of new people and having a trust-chain so that comments are decent etc... but it just feels so elitist. Well, we're guilty of that, too. It's not about elitism, we let thirty of our colleague's students use our ML platform[0] for their final year projects, and send invites to people who go to…
Like I said - I understand that there's probably a good reason why you're limiting user numbers, but it's a bad mechanism for doing so. Good luck, I'll take a pass on the invite, and wait for the site to become open, if that happens. As you're not limiting viewing of articles, I'm not losing much, and the biggest downside is that you'll miss-out on the early adopters and hype-surfers, but mostly it's just bad PR.
I think you may have missed the part that explains we're not the original link. I'm not OP.
I was explaining why we're doing it on https://iko.ai to manage compute resources, as it is a machine learning platform. Early users help make the product acceptable for a wider audience. Building product in a void and launching is not the way to go in my opinion.
The fact you take a pass means you don't need it that badly. Generally speaking, early users do need the product badly and are willing to accept certain imperfections, and have extremely helpful feedback to improve the product so it eventually becomes appealing to a wider audience.
The pattern also helps limiti g the number of disappointed people. When it is a low stakes 'job to be done', you can open for everyone. When it's a bit more demanding, you need to get a few things right. Again, I'm not OP and the product I'm talking about is something else.
Re: Show HN: ML News – Like HN, but for Machine Learning
#20Earlier quoted context omitted.
Like I said - I understand that there's probably a good reason why you're limiting user numbers, but it's a bad mechanism for doing so. Good luck, I'll take a pass on the invite, and wait for the site to become open, if that happens. As you're not limiting viewing of articles, I'm not losing much, and the biggest downside is that you'll miss-out on the early adopters and hype-surfers, but mostly it's just bad PR.
I think you may have missed the part that explains we're not the original link. I'm not OP. I was explaining why we're doing it on https://iko.ai to manage compute resources, as it is a machine learning platform. Early users help make the product acceptable for a wider audience. Building product in a void and launching is not the way to go in my opinion. The fact you take a pass means you don't need it that badly. Ge…
Thanks for clarifying, you're right - I missed the fact that you're not talking about the same product. Thank you for the offer, but you're right - it would be lost on me.
> early users do need the product badly and are willing to accept certain imperfections
Agree on the second, but the first parts is a wild exaggeration. You get to discover that for yourself.