Readit Newsnikhizzle commented on Ask HN: Job seekers, what's working / not working? · Posted by u/Jabbs
Great tool! Would be nice to add a simple search feature, too!
Will think about it, trying to keep it running snappy with minimal cost since no clear path to monetization
I’ve had luck getting higher rate of interviews for remote jobs by applying first. To that end I built a site which shows job postings as they are posted - https://tangerinefeed.net
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nikhizzle commented on Total monthly number of StackOverflow questions over time data.stackexchange.com/st... · Posted by u/maartin0
Some comments:
- This is a really remarkable graph. I just didn't realize how thoroughly it was over for SO. It stuns me as much as when Encyclopædia Britannica stopped selling print versions a mere 9 years after the publication of Wikipedia, but at an even faster timescale.
- I disagree with most comments that the brusque moderation is the cause of SO's problems, though it certainly didn't help. SO has had poor moderation from the beginning. The fundamental value proposition of SO is getting an answer to a question; if you can the same answer faster, you don't need SO. I suspect that the gradual decline, beginning around 2016, is due to growth in a number of other sources of answers. Reddit is kind of a dark horse here, as I began seeing answers on Google to more modern technical questions link to a Reddit thread frequently along with SO from 2016 onwards. I also suspect Discord played a part, though this is harder to gauge; I certainly got a number of answers to questions for, e.g., Bun, by asking around in the Bun Discord, etc. The final nail in the coffin is of course LLMs, which can offer a SO-level answer to a decent percentage of questions instantly. (The fact that the LLM doesn't insult you is just the cherry on top.)
- I know I'm beating a dead horse here, but what happens now? Despite stratification I mentioned above, SO was by far the leading source of high quality answers to technical questions. What do LLMs train off of now? I wonder if, 10 years from now, LLMs will still be answering questions that were answered in the halcyon 2014-2020 days of SO better than anything that came after? Or will we find new, better ways to find answers to technical questions?
I think the interesting thing here for those of us who use open source frameworks is that we can ask the LLM to look at the source to find the answer (eg. Pytorch or Phoenix in my case). For closed source libraries I do not know.
I may eventually get one of these just to use with Claude code. Been looking for the lightest best machine to use with agents.
sample output here - https://www.science.org/action/downloadSupplement?doi=10.112...
This is at the very beginning of begin feasible. I do not know anything about photonics, maybe someone who does can comment on scalability?
nikhizzle commented on The realities of being a pop star itscharlibb.substack.com/... · Posted by u/lovestory
> especially when your old friends mock and ridicule you for caring about something absolutely pointless.
My dad flew 32 missions over Germany. He watched men die. 80% of his cohort did not return. He expected to die and made his peace with it. He told me once that when he returned home, he was struck by the trivial problems people had and obsessed over. After all, they weren't flying a mission tomorrow with near certain death.
He said whenever he felt down, he'd recall the men that never had a chance to grow old, and his problems would melt away.
Thanks for sharing this.
Needed something meaningful this morning.