kentm
Joined 8 years ago
Joined 8 years ago
I hope to god no one is actually using the timestamp portion to replace an “updated at” timestamp but I suspect I’ll be disappointed.
Until then it’s all talk.
This is why people go scorched earth with adblockers. There’s a lot of discussion about “good” ad networks being allowlisted, but they are all just one missed earnings report away from implementing dark patterns. None of them are trustworthy.
Its incredibly frustrating to talk to people that take the position of "Well eventually they gave up after pressure from the courts and legislature, so no harm no foul." There's a difference between doing things that have a reasonable legal basis that the courts disagree with and what much of this administration was doing -- sometimes fragrantly ignoring court orders until D politicians got involved to pressure compliance.
Using the 2020 coup attempt as an example, yes, the courts shot down his attempts. The issue is that *he even tried* -- the attempt was transparently not good-faith concern about election integrity.
I think that this really needs to be internalized by a lot of people. I really appreciated when my boss sat our team down and said "Yeah this is the new normal, and I know its not what you signed up for. Its fine to feel sad that your job is changing in such a dramatic way." No, it didn't help anyone actually adjust, but sometimes you just need someone to empathize and tell you its OK to feel bad about this when everyone around you is excited.
> If you read this far thanks. And if anyone has any advice for me, how to go from "thinking through problems by coding your way through them" to "doing the thinking upfront" then really, I'm all ears.
I'm trying to replace it with "thinking through with AI" to limited success. A lot of people recommend having the AI "plan" the thing and review the plan, which is OK. I've also had it do a prototype and poked around a bit, summarized the learnings, and then did it again in an iterative manner without rough edges I've found. Whether you are given the space to do that is up to your org -- its hard sell to "do it again" but I've found that the second attempt leads to better results since I can prompt my way around the problems. Sometimes this also leads to a "Not even wrong" moment where I found out that I framed the problem wrong and the AI dutifully carried out doing the wrong thing.
Sure, but how are you measuring this?