galkk
Joined 12 years ago
Joined 12 years ago
In my experience its significantly more expensive for groceries: up to 20% for items + service fee + subscription + tip.
I was canceling Instacart subscription and they offered me another year for discounted price ($17). I kept it but I won’t ever extend it for full price given how much more it costs.
I tried to remember who was challenged, but I wasn't sure and my main candidate now was Snape.
Then author got his diva moment, at least this is how I remember it. He constructed some impossible to solve situation and had tantrum that if readers won’t give answer how one of protagonists will solve it, author will stop writing the book. I think it had even time limit for readers.
After that I dropped the book and never returned to it.
I’m a dinosaur and still read the code that my ai has written and do a pass with my own eyes of other people PRs. Saying and landing precisely in things like “open this PR in VSCode”. Does it require many actions? No. Would it reduce friction? Hell yea. Doing all that while the ide (example, again) will suddenly decide to rebuild the indexes or run extension updates etc is breaking the flow. Being able to jump into fully loaded and prepared place that is ready to go - it would be very good.
I will admit. First it started with the need to use like 2 ides in everyday work (there was a time at Google when IDEA was defunded and eclipse was sole supported Java ide, but I hated eclipse wholeheartedly and used it only for debugging), and now with ai coding I really feel how my fluency with ides is degrading day after day. I remember myself even 5 years ago (and more so 10-15) - I, somehow, much more rely on mouse or things like “find action/command palette” than I did in past.
Dremel paper explained shredding in like 2010? Parquet had it in a while?
https://blog.x.com/engineering/en_us/a/2013/dremel-made-simp...
Yes, things like nested repeated fields (or structs) will mess you up hard time. When I was playing with Duckdb querying parquet several years ago I had issues with column names and even was digging some source code to improve statistics use, but it was doable and reasonably efficient on my datasets.
Although yes. If you have resources of large companies, both computational and manpower, you can do very nice things with your data. All that determination of “what would be nice to shred” based on real query statistics, compaction, regular optimization and improvements of data at rest by maintenance jobs… again, use better databases/engines and there’s no free lunch, you get what you paid for (hopefully).
I think that we’re heading to the future that nobody expected and predicted. Imagine 9/11 scale attack with locally assembled drones that came in regular shipping container. I expect something like to happen in next 5-10 years somewhere in the world.
I think that we’re heading to much more decentralized and fortified _everything_.