Show HN: Remove “GPT” from your HN feed
gist.github.com
gist.github.com
For as long as I've been on Twitter it's always been super easy to block keywords, accounts, adjacently related topics, etc.
Anyway, I wholeheartedly agree with your underlying point that users should be allowed to curate their experience with a platform.
You can-ish. At least on old reddit's /r/all page. There's a block list you can curate for yourself (when logged in) on the right hand sidebar. Sadly, it doesn't work for "popular". The filter list does carry over to the new interface, FWIW.
"Displaying content from /r/all, except the following subreddits:"
Love this site - the breadth of knowledge and willingness to share it is so refreshing.
https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
I use a similar project to get HN keywords as an RSS feed.
Its not that we don’t wish to ever hear about the technology again.
We’re just sick of the current wave of breathless, manic speculation from nincompoops engaged in magical thinking.
To be fair, I would have called that magic a few months ago.
yes that's true, but you could say the same thing about a spreadsheet.
with the correct tooling this thing will have a serious impact on the productivity of a lot of people.
IMO what makes GPT even cooler than a search engine or online forums is you don’t have to wait for a human to respond to your highly technical or niche questions, in some cases GPT can just generate an accurate response to your prompt on the fly. exciting stuff
We’re still decades from AGI in my opinion, and the Chicken Little types ought to pace themselves, is all I’m saying.
I don't mind when a solution is provided by an open-source framework, but I'm very cautious when this solution is given by a closed-source application from a random company.
I truly understand the urge that "I just need an answer, right now!", but in chasing the quick fix, you aren't bettering yourself as a developer. And we all know that in our industry, if you aren't constantly improving, you're becoming worse.
I think there are different problems that needs different solutions. Sometimes I'm hacking around in a language I don't know and I don't want to know, I just have to fix/implement something in that language because program/library X happens to use that language. I don't really care about learning, I just want the damn problem solved.
But then most of the times I spend in a language I expect myself to continue to use for a long time, then it makes sense to spend time coming up with a solution by myself through reading long manuals, other reference documentation or even purchasing books and working through them.
But, it doesn't make sense to do that for everything.
That's cool for filtering. Thank you!
Apparently Violentmonkey is a suitable replacement.
Once you install the extension, just load my userscript in and it'll take effect whenever you visit any HN page.
news.ycombinator.com##tr.athing:has-text(GPT)I'd really urge you to dive deeper into this one though. Ignore the noise maybe, but this really is something different IMHO, and I've seem a lot of hype, from '4GL computer languages' to 'fifth generation computers' to ...
And that's kinda awesome.
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
Moreover, I use https://hn.algolia.com search engine to filter stories by type ("Show HN") and sort by date.
Query example: https://hn.algolia.com/?dateRange=pastWeek&page=0&prefix=tru...
Another useful link to "Advanced search syntax": https://hn.algolia.com/help
Edit: It appears that Algolia search engine has several hours delay in indexing. But it is acceptable to me.
Maybe it’s the circles I'm in, maybe it’s only HackerNews, but I feel that the biggest question for many people isn’t "How does it work, and how can we make it work better?", but rather:
"How to get rich quick?"
Even so, there's plenty of “how does it work and how technically can we do more with it” stuff here, HN’s been one of the densest places for that with generative AI despite the make-money focus thay often creeps in. Sometimes, the two even overlap.
Wake me up when "AI" parses Nietzsche, Hegel or even Lewis' apologia without any philosophical data to train on.
We simply never did figure out the "algorithm". Instead the big orgs (aka to governments) decided to throw all the surveillance data into a large model and called it a day. It's insanely expensive to run, and it doesn't scale. But boy does it give results right now, nevermind the future.