The The New York Times doesn’t report “news” anymore. Just “juicy collection of narratives” with click-baity headlines, which then unleashes a tsunami of hysteria against all kinds of targets. Mainstream media, with notable exceptions, is 1-2 years “behind” most trends and happenings.

The fact that this site is now 76% b o t s tells me that the old Twitter verification process, which had gatekeepers and was perhaps a touch too restrictive (and sure, it led to stupid clout games of why some Twitter famous personality wasn’t “verified”) worked better than this.

It used to be that you built a brand on Twitter using your real name, so the incentive was to showcase your interests or your achievements. The rise of anon accounts along with how monetization works has seriously eroded this incentive, as what pays best is what provokes.

This is right, but the primary reason tech discourse has downgraded so badly is because most of the serious accounts left/no longer post (think Charity Majors, Will Larson etc) The ones who post are mostly farming for engagement, or try to be edgy or are virtue-signaling to VCs.

Reading the AWS status updates, seems like what first diagnosed as a DNS resolution issue was either a red herring or an incomplete diagnosis. As hours later, a system doing health checks on the network load balancers was deemed the culprit. Full report will be fun to read.

This is the definition of politicians having strong opinions on things they don’t understand. 🙄 Breaking up AWS won’t result in more reliable cloud providers, or customers suddenly starting to implement multi-AZ and failovers.

Asked ChatGPT to analyze the very long write up and come up with ASCII diagrams explaining the most recent AWS outage that took out us-east-1 in 4 diagrams … For those who don’t want to read walls of text, this might help

This entire article on how AI adoption by employees at Dropbox went from low double digits to 90% seems AI generated. Counted 15 em-dashes in total. 😅 Truly incisive and thoughtful writing is going to become an endangered art form in this AI era.

The anatomy of a software migration of non-trivial complexity, broken down by time/effort: - code: ~10% - comprehensive testing: ~20% - operations: ~30% - client coordination + whittling away the long tail: ~40%

I spoke with Chris Lattner about AI and software craftsmanship. "The question is, when things settle out, where do you as a programmer stand? Have you lost years of your own development because you’ve been spending it the wrong way?” A must read: fast.ai/posts/2025-10-…