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If Autonomous AI agents are executing enterprise operations, who is governing their footprint?
As @NVIDIA AI Factories scale, we're delivering hardware-isolated defense. We’ve combined Prisma AIRS enforcement and Cortex XSIAM visibility on NVIDIA BlueField for zero-latency, agentless AI security.
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🚨 BREAKING: The DOJ just sued Cloudera for rigging high-paying tech jobs against American workers.
They created a fake internal email that bounced every U.S. applicant’s resume …then claimed “no qualified Americans applied” to fast-track foreign visa holders for green cards.
This is deliberate discrimination, plain and simple.
American jobs should go to Americans first.
Full story: https://t.co/73NWtKQeB0
#H1BAbuse #AmericaFirst #ProtectUSWorkers #Cloudera
32 years ago today I registered the @L0phtHeavyInd class C. I got the email from ARIN, sent the class C address to our ISP, then got the first packets routed over our 56K modem to our 486 linux box. When those first packets come through the whole room exploded with chants of, "We on da backbone!"
Then came one of the first hacking resources on the web, shell accounts, a bbs, webcams, and lots of shenanigans. You can see an archive of the website here: https://t.co/a3TQXUxnex
not true. AI companies know their market is the family of 4 stuck in a driverless car for hours living on a UBI seeking a play list recommendation or tips for dinner.
the office worker will not be important much longer.
🚨BREAKING: 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)
@AiwithYasir not true. AI companies know their market is the family of 4 stuck in a driverless car for hours living on a UBI seeking a play list recommendation or tips for dinner.
the office worker will not be important much longer.
For anyone wondering what machine all my MIPS R8000 LLM kernel optimization posts are about, it’s the one on the right.
SGI Power Challenge Deskside, maxed out:
6x 90MHz MIPS R8000 CPUS
2GB RAM
Maybe I will do a tour post soon and talk about the R8000.
Earlier this month Suriname's .sr ccTLD added https://t.co/UmotKtyP4Z in it's auth delegation pointing to AS211588 / XYPHEN, NL.
Seems to have broken IPv6 setup on this one. 2 out of 3 NS works fine for IPv6.