I agree with your observation. Although the framing of the question signals some of the response "Do you think.. " forces the model to check for the cost-benefits.
We can definitely mould AI agents to think more critically about these things, I dont know how effective it will be in the long term honestly.
The OS changes all the time, Apple/Google stop supporting an API your app relied on, security vulnerabilities get published, even stupid stuff like timezone changes can break a perfect app in strange ways.
I think we are moving from "can you build this product?" to "do i trust you to support this product?". Software is cheap, trust is a premium.
Developers and companies who put real care into their product will come out on top. A large part of that is going to be, what not to build - something AI agents will always say yes to.
To be fair, was always the case but its only going to be made more apparent as AI scales out.
I am just offering a different point of view, not disagreeing with the other experiences on this thread.
I d like to think I have fully recovered from confirmed Lyme diagnosis with Doxycycline for 14 days. I had fever and weakness for a week and lowest HRV reading my Fitbit ever recorded (7ms v 50ms avg).
Interestingly, I have a lot of symptoms like anxiety, sleeplessness, and brain fog even today, but I know for a fact I had it even before Lyme. It had peaked during the COVID times when I sat at my desk working over 10 hours on the regular because there was literally nothing else to do.
So at-least in my case it seems COVID was the trigger and Lyme didn't seem to move the needle much either way.
This is a extremely common issue that happens in growing firms.
You start off with everything in Postgres, it makes the most sense.
Soon you realize some tables are growing really huge - usually some sort of time-series or log data reaching 10TB+. You can no longer fit it in one node. You can try you luck with some sharding extensions, but they add complexity to upgrades.
In that case it makes total sense to move these large tables off Postgres, and I think Clickhouse is a straight up replacement here. You can still keep your relational heavy tables in Postgres.
Yes it affects you ability to cleanly join data, and guarantee 100% consistency. With some smart application code, and schema design, you can replace parts of Postgres with Clickhouse for the big data problem.
If your data is too big for postgres, it seems like moving straight to Clickhouse is the best option. We have been through an whole array of distributed database technologies, and Clickhouse might be first one that doesn't have too many compromises.
The Atlas Obscura version of clustering seems especially bad. The presence of the cluster circles with unchanged numbers, even after zooming in, is just plain wrong.
I have seen some better clustering implementations, which give good sense for whats inside the cluster if you click on it.
Generally agree that the stacked individual points are a much better approach on modern hardware.
The US really is just allowing all sorts of horizontal and vertical mergers. There is enough economic theory to suggest this is a net negative for consumers. We are powering through it anyway.
He is just being willfully obtuse to make a point. This has to be one of his weaker essays. He is trying to "gotcha" AOC by talking math instead of debating the larger point. The kind of thing he has himself argued against in the past.
Are people really going to hurt by this? Opus 4.8 can do a vast amount of the same tasks at half the price. How many people are really doing cutting edge work?
Yeah I don't agree at all with this stance. I am as tired of capitalism as anyone else. But let's not pretend money is not important. Just like open source projects need money and funding to keep delivering.
I d rather donate $1 to 10 different blogs every month, than subscribe to NYT or Atlantic.
Yesterday the Gmail virus scanner stopped working. For a while I couldn't download my attachments. A few minutes later it said the virus scanner was offline and download at your own risk.
Meet audio seems to be having a particularly bad week. It just doesn't work with headphones. Their testing tool indicated everything was fine. It's worked after I logged off and on. Audio quality issues are getting more common as well.
We can definitely mould AI agents to think more critically about these things, I dont know how effective it will be in the long term honestly.