Ok, you can now search all H-1B history files from 2008 to 2026.
Nearly 11 million H-1B applications over 19 years and you're still scratching your head wondering why you can't find jobs?
https://t.co/ejjn1uLL1D
@MarioNawfal Given Andrew and his cronies were running a similar operation at the very top of the funnel, it isnโt surprising this was enabled and given a pass in other segments of the society.
๐จ โPure evilโ: Teacher rapes and kills adopted 13 month old baby boy, leaving him with 40 injuries in just four months and recorded it on Snapchat.
Jamie Varley a teacher from Blackpool, and his partner John McGowan-Fazakerley adopted 13-month-old Preston Davey in 2023. The baby died after months of horrific sexual and physical abuse at their hands.
Varley was found guilty of murder, multiple counts of sexual assault on a child under 13, child cruelty, and taking/distributing indecent images of the child. Snapchat videos he recorded showed the abuse. McGowan-Fazakerley was found guilty of causing and allowing the death of a child, cruelty, and sexual assault.
Preston suffered more than 40 injuries, including a broken elbow and seizures, before dying from airways obstruction likely smothering. Varley claimed the baby drowned in the bath.
Another monster in a position of trust exposed for destroying an innocent child.
How many more of these sick โparentsโ are out there abusing and killing the babies they adopt?
@MarioNawfal This is the problem with this government. Cheap labor, higher taxes and ignoring the local / regional supply of unemployed working segment.
๐จBREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now.
The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left.
Every executive can see this. The math is not complicated. But here is why nobody stops.
If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time.
The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation.
The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy.
They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand.
The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker.
The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own.
(Link in the comment)
๐จBREAKING: Anthropic just published a study mapping exactly which jobs its own AI is replacing right now.
The workers most at risk are not who anyone expected. They are older. They are more educated. They earn 47% more than average. And they are nearly four times more likely to hold a graduate degree than the workers AI is not touching.
The argument is straightforward. Anthropic built a new metric called "observed exposure." Not what AI could theoretically do. What it is actually doing right now in professional settings, measured against millions of real Claude conversations from enterprise users.
For computer and math workers, AI is theoretically capable of handling 94% of their tasks. It is currently handling 33% of them. For office and administrative roles, theoretical capability is 90%. Current observed usage is 40%. The gap between what AI can do and what it is already doing is enormous. The researchers are explicit about what comes next. As capabilities improve and adoption deepens, the red area grows to fill the blue.
The demographic finding is what makes the paper uncomfortable. The most AI-exposed workers earn 47% more on average than the least exposed group. They are more likely to be female. They are more likely to be college educated. This is not a story about warehouse workers or truck drivers. It is a story about lawyers, financial analysts, market researchers, and software developers. The exact group whose education was supposed to insulate them.
Computer programmers showed the highest observed AI exposure at 74.5%. Customer service representatives at 70.1%. Data entry keyers at 67.1%. Medical record specialists at 66.7%. Market research analysts and marketing specialists at 64.8%. These are not predictions. These are measurements of work that is already happening on AI platforms right now.
Then there is the pipeline finding nobody is talking about loudly enough.
Anthropic's researchers found a 14% decline in the job-finding rate for workers aged 22 to 25 in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never just jobs. They were the training ground where junior analysts became senior analysts, where junior lawyers learned how arguments hold together. If that layer disappears, nobody has answered the question of where the next generation of senior professionals comes from.
The detail buried in the paper that most coverage missed: 30% of American workers have zero AI exposure at all. Cooks. Mechanics. Bartenders. Dishwashers. The technology reshaping professional careers is completely irrelevant to roughly a third of the workforce. The divide is no longer between high skill and low skill. It is between presence and absence.
The company publishing this study is the same company selling the AI doing the replacing. Anthropic had every commercial incentive to soften these findings. They published them anyway.
If you spent four years and $200,000 on a degree to land a white collar career, the company that builds Claude just confirmed your job is more exposed than the bartender pouring drinks at your graduation party.
Source: Anthropic, "Labor market impacts of AI: A new measure and early evidence"
PDF: https://t.co/taYgsIfiTj
Many weekends and a lot of blood, sweat and tears have gone into building an interactive district-level map of Pakistan's census and survey data. All open data from @PBSofficialpak. ๐ต๐ฐ
https://t.co/X3C2dMfXEP
Pakistan welcomes and fully supports ongoing efforts to pursue dialogue to end the WAR in Middle East, in the interest of peace and stability in region and beyond. Subject to concurrence by the US and Iran, Pakistan stands ready and honoured to be the host to facilitate meaningful and conclusive talks for a comprehensive settlement of the ongoing conflict.
@realDonaldTrump@SteveWitkoff@araghchi
Western media has gone blind, deaf & mute on two big stories:
1)A respected Palestinian doctor gang raped to death by Israeli soldiers who went free &were treated as heroes
2)18-month- old baby tortured with cigarette burns & nail being shoved into his leg by Israeli soldiers.
Jewish-US orthopedic surgeon Mark Perlmutter, who worked in Gaza, recounted that Israeli soldiers took two Palestinian children, tied their hands behind their backs, & buried them alive at Nasir hospital... their cries muffled by the dirt poured over them.
Amazon is holding a mandatory meeting about AI breaking its systems. The official framing is "part of normal business." The briefing note describes a trend of incidents with "high blast radius" caused by "Gen-AI assisted changes" for which "best practices and safeguards are not yet fully established." Translation to human language: we gave AI to engineers and things keep breaking?
The response for now? Junior and mid-level engineers can no longer push AI-assisted code without a senior signing off. AWS spent 13 hours recovering after its own AI coding tool, asked to make some changes, decided instead to delete and recreate the environment (the software equivalent of fixing a leaky tap by knocking down the wall). Amazon called that an "extremely limited event" (the affected tool served customers in mainland China).
AMAZON PRIME VIDEO BLOODBATH
2,847 employees got the email at 6:47 AM PST
"Your role has been eliminated effective immediately"
Badges dead by 7:15 AM. Slack access revoked mid-sentence
Senior engineers who built the entire streaming infrastructure. Gone
The team that shipped 40% faster last quarter using Claude for code generation. Eliminated
847 contractors in Bangalore just got handed their prompt libraries and deployment scripts
Same streaming platform. Same feature velocity expected
14 remaining Seattle engineers to "manage AI-augmented offshore delivery"
The kicker: those eliminated seniors spent 8 months documenting every architectural decision into internal wikis
Every code pattern. Every debugging workflow. Every performance optimization trick
That documentation just became training data for the AI systems replacing them
VP of Engineering sent company-wide: "This transition represents our commitment to AI-first development"
Severance packages include mandatory 90-day non-compete clauses
Meanwhile the Bangalore team already pushed 12 commits using the extracted knowledge base
One former L7 told me: "I literally trained the AI that made me redundant"
If you're at FAANG and not seeing this coming you're already dead
DMs open for anyone who needs to talk
@barbarikon@Citrini7 I keep wondering about the same. If AI automation is going to be so awesome that it will replace all of us then who will actually be doing the work? Who will be paid some stipend or salary that they can go buy some food or service with? If you donโt have wages who do you tax?