> In November 2017, Twitter increased its character limit from 140 to 280 characters. In 2023, Twitter boosted the character limit for Twitter Blue subscribers. In February, it was increased to 4000. In April, it was again increased to 10,000, and in June, to 25,000.
Besides entire teams or business units, the targets were people who did not comply to RTO or were not sitting with their teams.
How do you stop multinational companies like Amazon from using the global talent pool as they see fit and pay whatever wages the local market will bear?
Without that it comes off as the standard "elect me because foreigners are bad".
You can either open borders to both people and goods, or you can have restrictions on both that go hand in hand. But one without the other is a massive gift to corporations who can and do cash in on that disparity.
1. Strong data governance 2. Tax implications for layoffs (offshoring?)
Well, that's one way to go for that next job.
But that framing is incomplete. Amazon isn't just retail - AWS, logistics tech, and AI enablement are craft-heavy. Cutting experienced people in those areas might be short-term thinking dressed up as strategy, not actual optimization. The policy question is where I get stuck. Regulate this, and US companies risk losing ground to foreign competitors who don't follow those rules. Do we want Alibaba as the default American retailer? But do nothing, and experienced workers keep getting squeezed while "efficiency" narratives provide cover.
What's the intervention that doesn't just shift the problem somewhere else?
Its interesting, in a morbid humor kind of way, to see people realize that these costs always come due.
Globalization allows a huge amount of growth and many benefits you simply can't get with smaller or stronger borders. It also comes with risks, chief among them the risk that any one country loses self sufficiency and competitive advantage.
I do hope that the heaviest cost we (in the US) pay anytime soon is the cost of outsourcing jobs. We don't know how to manufacture anymore, our populace is extremely unhealthy in historical standards, and both political parties are toying with different forms of socialism. There are a lot of bad outcomes that can come where we're heading, we'd get off easy if it stops at outsourcing some of our high paid jobs to cheaper foreign labor.
A screenshot later on shows he was a manager who spent his entire career in Houston. So... he didn't move and I associate "untangling difficult problems" as something an engineer should brag about not a manager.
Reads like AI generated slop that doesn't correlate with the actual situation.
Not AI.
On one hand, he claims that he "fixed problems that had been sitting untouched because no one else could untangle them." And on the other hand he claims his layoff on "a global labor market with almost no guardrails."
So which is it: did he really work on problems no one else could solve, or was he replaced by cheap foreign labor?
Probably neither. The most likely scenario here is one of two things:
a) Amazon made a mistake by firing him. They laid off someone truly valuable.
b) He wasn't as valuable as he thinks he was. Those problems were not worth paying him a meaningful fraction of a million dollars a year (what an L7 makes at amazon).
What I can guarantee is that he wasn't replaced by a cheap, foreign, plug-and-play replacement.
It all makes sense when you realize the point of his tweet is that he's plugging his run for congress: so yeah, of course he's tapping in to the absolute worst nationalistic sentiment. Shame on him.
"wasn't just a job; it was a profound responsibility"
"This isn't just a statistic; it's a sign that we need to re-evaluate how we support those who serve"
"My experience isn't just about past success; it's about understanding the logistics, technology, and economic realities that shape the job market now and how we can create future opportunities right here."
"This experience didn't just teach me about law and order; it taught me about managing complex operations under pressure, the critical need for clear strategy, and the importance of unwavering integrity when the stakes are high – lessons desperately needed in Congress today."
"This campaign isn't just about me; it's about us."
All from the same page. Pretty nauseating.
Perhaps more importantly here, when it comes to writing, "AI slop" is basically management speak - it's all about waxing poetically about simple things in ways that make you sound complicated (and useful!). And this guy is a career manager. So I bet this is actually human slop, the kind from which ChatGPT et al learned to speak the way they do.
Having worked in a bigcorp, I've read my fair share of management-speak, and none of it sounds quite as empty as the allegedly AI text.
The AI sounds like someone conjuring a parody emulation of management speak instead of actual management speak.
More broadly — and I feel this way about AI code at well as AI prose — I find that part of my brain is always trying to reverse engineer what kind of person wrote this, what was their mental state when writing it?
And when reading AI code or AI prose, this part of my brain short circuits a little. Because there is no cohesive human mind behind the text.
It's kind of like how you subconsciously learn to detect emotion in tiny facial movements, you also subconsciously learn to reverse engineer someone's mind state from their writing.
Reading AI writing feels like watching an alien in skinsuit try to emulate human face emotional cues — it's just not quite right in a hard-to-describe-but-easy-to-detect way.
No one can really tell if what's AI generated or not anymore. We're all going by vibes and undoubtedly getting it wrong.
Although I did note that it was a bit long (I guess I am out of the loop on tweets as well. I thought tweets were supposed to be short "hot takes". But this is practically an essay).