hnrss VS Killed by Google

That’s interesting.

I have predictive models that can predict if a headline (w/o the rest of the article and not considering the URL) will (a) get more than 10 votes and (b) if it does get more than 10 votes will the votes/comments ratio be more than 2 (which is roughly average)

The first model gets a ROC-AUC (see https://scikit-learn.org/stable/modules/generated/sklearn.me...) in the low 60’s (not good, the second model gets in the low 70’s (actually pretty good though it is a heat seeking missile for clickbait headlines) and my latest content-based recommender for RSS items gets almost 80. (I saw a paper that one system at TikTok gets about 85)

To do all that you need about 10,000 headlines and don’t get a lot of benefit from having more than 100,000. The ceilings on performance have more to do with the nature of the problem rather than my models: the same article can get submitted twice and get 0 votes one time and 200 the other time so it can never be as accurate as “is this an article about galactic astronomy?”

I had it ingest the HN comments firehose and found the amount of articles was overwhelming, my YOShInOn RSS reader now ingests the “best comments” from

https://hnrss.github.io/

together with 110 other feeds and actually I like the comments it picks out a lot. Now that the system is adding about 3000 items per day it might be able to handle a big feed like the comments firehose since now those comments are diluted with so many quality articles. For a problem like that you might want a two-score system with: (i) is it relevant? (something I like) and (ii) is it popular? (like Google’s PageRank)

I think you could make a model that compares comments in the best comments feed with other comments. I have tried formulating the problems above as regression problems where I try to predict the actual score and it does not work well because of the uncertainty problem but formulated as a classification problem for a score over a threshold it is easy to make a well-calibrated model that tells you “this article has a 20% chance of frontpaging” which is about the best anyone can do.

Subscribe via rss, so you can scratch the curiosity itch and each the FOMO, without coming to the site all the time and looking over the same things 20 times?

https://hnrss.github.io/

https://news.ycombinator.com/item?id=9491978

and this https://hnrss.github.io/

ps i’m ok with some % of false positives, but hopefully a sprinkle of OpenAI could keep that magically low?

thanks

It sounds interesting but I use https://hnrss.github.io/

Unless it had most of the features of hnrss.org I would not be able to use it.

Perhaps you could pivot your approach and submit a PR to hnrss for the feature?

Looks like there's an unmerged PR on the third-party hnrss project that would add this: https://github.com/hnrss/hnrss/pull/84

Check out below link to get a more customized, topic wise rss feeds.

https://hnrss.github.io/

https://killedbygoogle.com/

Their reputation is deserved. Google domains was killed only last year!

And this isn't even the first time I've been burned by Google's decisions. If you're familiar at all with the Google Graveyard, you'll know that Google has a long history of killing off products and services that people have come to rely on. This has happened to me a number of times, in both a personal and professional capacity, and frankly it's getting old.

Just because Google has a couple of decent services that you're willing to pay for doesn't detract from the fact that most of their products have a worse life expectancy than a victorian child in the 1800s. https://killedbygoogle.com

They ruined every single opportunity to be more than an advertising company since Orkut. With scrapped attempts, starts and lack of intention for most of the 2010s to even during the early half of the Pixel Era, they seemingly haven't learnt to stick to something and iterate on it well.

And the fact that over 50% of their revenues come from search and by extension, advertising.

The fact' that til this day, they still haven't evolved from the "throwing shit at the wall then at the fan" strat which explains how they have fumbled so much so quickly.

Yeah. The Google Graveyard really shows how far this can go.

https://killedbygoogle.com

The punchline is that in addition to hundreds of failed hobby projects, their stock is doing great. Monopoly power is a helluva drug.

To me Gemini is just sort of generic and uninteresting. There has to be hundreds or thousands of products and companies based on the name "Gemini" - "Bard" was at least interesting, different and distinct.

I've no idea about the quality of the product itself, I have never had a reason to use it. It's long past cliché now but I wouldn't get too attached to a Google product that is definitely costing a lot of money but which has no clear pathway to turning a profit. I think they will keep it ticking over until the hype train moves on from Chatbots/LLMs, and then it'll join the Google Graveyard @ https://killedbygoogle.com

We're not talking about reliability, we're talking about Google's penchant for killing established products that people use. https://killedbygoogle.com

The website you're referring to: https://killedbygoogle.com/