I opened shownew just to make sure, 10 out of 30 posts there are AI-related.
I caught myself thinking that because of this AI-hype I read HN less and less.
Sure, it is clear that AI is interesting to people (or at least someone wants more hype around AI), but it would be nice to read about real hacker news and projects somewhere.
I think the problem isn't AI, but the hype attracted a lot of low IQ script kids that think they are programmers because chatgpt can write simple code.
Not weird really. On the one hand, you have a flagging policy that lets any random man-child with some specific bias and enough karma completely eliminate a post for whatever bullshit emotional reaction of their own, and at the same time, you have a bunch of people here who suffer from AI-fanboy derangement and hate to see any criticism of their fantasies about a glorious future in which current LLMs are just a hop away from making all things wonderful.
As sick as I am of them, I wonder how it compares to past trends. What does the data show about Crypto/NFT related show-HNs? Is HN consistent across trends or is AI unique?
I had the same thought about crypto/NFTs... Before AI exploded it seemed like that was the "big topic" on HN for a long time. But there may have been less Show HNs for crypto since it has fewer applications.
Have you seen the YC batches since 2023? I think legitimately every single one mentions AI in one way or another, the hype is truly mind boggling once you start reading through them for a bit, so many pure BS startups getting funded solely on the premise of wrapping some ChatGPT APIs
I think it's partly because we all just have way too much to do. Every day. All day. And the harder you work, it seems the more you have to do. On top of cognitive processing of all the ambient events in our time, which is a heavy load just by itself.
Most of the time, AI tools promise to be timesavers. So it's natural many folks look for shortcuts. We're simply overloaded, partly due to current situations generated by existing machine learning tools deployed elsewhere in the system.
This is probably really well known here but hackaday.com is where I get actually hacker news. The stuff here is 90% valley drama, AI stuff, and random product launches that generally don’t interest me. I do love this community and have learned a lot from it over the years. But the hacker ethos has left HN a decade ago.
It’s a blog, not a news aggregator. Front page is a little different than others but it also just lists blog posts. Once you skim those, scroll to the button that says Older Posts and that will bring you to the next page.
Being a blog it also has RSS which you can use to consume it in the reader of your choice.
They feature projects done by people from across the web so they refer to people’s names using square brackets e.g. [josvdwest]. Each post has comments which I find to be quite thoughtful.
There is also https://hackaday.io/ which is a repository of hardware projects. In very simplified terms it’s like a cross between Facebook and GitHub for your side project that involves custom hardware. People post the details and their progress. It ranges from half baked attempts that were abandoned early on to some really amazing and unique things. When people complain that the old web is dead, this is the antidote: just clever people creating and collaborating on cool shit.
AI was also too technical. Until LLMs and prompt engineering mase it so everyone can play. Maybe QC will have a similar moment. Maybe not for decades though.
Readit News
(Caveat; not sure this kind of flagging is a pattern)
Link to the original article: https://www.the-independent.com/tech/chatgpt-psychosis-ai-th...
Related to the article, are there actively updated benchmarks for plan recognition?
"show hn" "nft" - 151 results
"show hn" "blockchain" - 479 results
"show hn" "crypto" - 782 results
"show hn" "llm" - 2,363 results
"show hn" "ai" - 13,128 results
trends or trendy does not imply substance.
Only a subset of people were, and still are were involved in Crypto, whereas LLM is of use to pretty much everyone.
As a seismic change, of course it's going to be everywhere till the hype cycle flattens.
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Most of the time, AI tools promise to be timesavers. So it's natural many folks look for shortcuts. We're simply overloaded, partly due to current situations generated by existing machine learning tools deployed elsewhere in the system.
Yeah(, right). Or rather, yeesh. Or maybe, yikes!
>we all just have way too much to do. Every day. All day.
... in the richest country in the world, which some inhabitants there also call the greatest nation in the world.
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Being a blog it also has RSS which you can use to consume it in the reader of your choice.
They feature projects done by people from across the web so they refer to people’s names using square brackets e.g. [josvdwest]. Each post has comments which I find to be quite thoughtful.
There is also https://hackaday.io/ which is a repository of hardware projects. In very simplified terms it’s like a cross between Facebook and GitHub for your side project that involves custom hardware. People post the details and their progress. It ranges from half baked attempts that were abandoned early on to some really amazing and unique things. When people complain that the old web is dead, this is the antidote: just clever people creating and collaborating on cool shit.
Quantum computing is progressing slowly but it's most likely going to be mainstream, yet too technical for the average person to care about it.
Today’s tools like Spanner are vastly more sophisticated, but were built by people who learned to work at petabyte scale developing in Mapreduce
We’re getting better AI tools every month, and the best way to be ready for next year’s tools is to work with the tools we have now