Artificial intelligence A.i. shit

China Joins Google, Amazon, and xAI in the Race to Build AI Supercomputers in Space!

In late 2025, space is emerging as a new frontier for artificial intelligence (AI) infrastructure. What was once a futuristic concept is now becoming a realistic goal. Global tech firms and Chinese aerospace companies are racing to deploy AI data centers in orbit. Their goal is to tackle the power, cooling, and data limits that challenge Earth-based systems.

By Jennifer L
December 8, 2025


CDMe7j8WYAAZyQY.jpg
 
Hyundai plans 30,000 humanoid robots a year for factories by 2028

It sounds like a scene from a science fiction movie: Hyundai Motor Group plans to mass-produce humanoid robots in Georgia, and put them to work helping real humans build cars in the same factory.

Joann Muller
January 5, 2026


1767647795635.jpeg

Boston Dynamics' Atlas robot will be deployed in Hyundai factories starting in 2028.
 
How The AI Boom Is Creating Electrician Jobs For Young Workers
December 29, 2025

The AI revolution has forever reshaped manufacturing, medical care and art but the transformation has led many to wonder how it will affect the job market. Reporting for TODAY, NBC’s Christine Romans heads to Grand Prairie, Texas, where the technology is creating more jobs and learn-while-you-earn opportunities for young workers as skilled electricians.

 
Why Elon Musk says saving for retirement will be 'irrelevant' in the next 20 years

The Tesla and SpaceX CEO predicted AI would help create an "abundance" of resources for all. People would have "whatever stuff they want" and access to superb healthcare and education, he said.

By Theron Mohamed
January 9, 2026


6936b95a71107c9f34577fc7

Tesla and SpaceX CEO Elon Musk.
 
Hyundai plans 30,000 humanoid robots a year for factories by 2028

It sounds like a scene from a science fiction movie: Hyundai Motor Group plans to mass-produce humanoid robots in Georgia, and put them to work helping real humans build cars in the same factory.

Joann Muller
January 5, 2026


1767647795635.jpeg

Boston Dynamics' Atlas robot will be deployed in Hyundai factories starting in 2028.
There is no direct Boston Dynamics stock because it is a private company, owned 80% by
Hyundai Motor Company and 20% by SoftBank.
You cannot buy stock directly, but you can get indirect exposure by investing in Hyundai (HYMTF). Some pre-IPO investment opportunities may exist, but are not available to the general public.
 
Florida’s Police Department Tests Nations First Self-Driving Police Car
December 31, 2025

The Miami-Dade Sheriff's Office is testing the nation's first self-driving patrol car. CBS News senior transportation correspondent Kris Van Cleave got a firsthand look.

 
If AI Takes All The Jobs…Who Will Buy Everything?
December 22, 2026

How AI Is Making Universal Basic Income Inevitable

Artificial intelligence is rapidly transforming the global labor market, causing millions of job losses. In 2025, 75 million jobs were lost worldwide, and AI could replace nearly 40% of U.S. jobs by 2030. Unlike the Industrial Revolution, AI threatens both manual and cognitive work, disproportionately affecting young and inexperienced workers.

Traditional social protections may be insufficient, making universal basic income (UBI) increasingly necessary. Proposals like Andrew Yang’s $1,000 monthly Freedom Dividend aim to stabilize consumption, reduce inequality, and redistribute wealth generated by automation.

While challenges remain, UBI offers a structural solution to ensure economic stability and social cohesion in an AI-driven era.


 
Florida’s Police Department Tests Nations First Self-Driving Police Car
December 31, 2025

The Miami-Dade Sheriff's Office is testing the nation's first self-driving patrol car. CBS News senior transportation correspondent Kris Van Cleave got a firsthand look.



I'm not a fan of self driving vehicles. There are too many variables on the road. You can't program every possible scenario and you can't give it common sense to fill in the blanks.
 
FedEx's CEO explains why regular humanoid robots can't get the job done in its warehouses

By Aditi Bharade
January 19, 2026


• FedEx's CEO said regular humanoid robots won't make the cut for work at his warehouses.

• He said "super humanoid robots" with a "couple of elbows" would be better at automating deliveries.

• Other companies, like Amazon and GXO, have heavily leaned into humanoid robots in their warehouses.

696dcf04a645d118818793ba

FedEx CEO Raj Subramaniam said regular humanoid robots aren't sufficient for his warehouses.
 
China reveals 200-strong AI drone swarm that can be controlled by a single soldier — ‘intelligent algorithm’ allows individual units to cooperate autonomously even after losing communication with operator

By Jowi Morales
January 24, 2026


China’s People’s Liberation Army (PLA) just demonstrated its latest drone swarm tech on state TV, showing a single soldier controlling 200 units. According to the South China Morning Post, the drones are launched from the Swarm I land vehicle, A.K.A the High Mobility Swarm Weapon System, which can simultaneously launch 48 fixed-wing drones that work together. Each unit can then autonomously communicate with each other, allowing the entire swarm to fly in precise formation and divide tasks among themselves, like conducting multi-target reconnaissance and strike operations, Chinese state broadcaster CCTV said in the report...

ADkq2cqTn9RZGdFgKgtmDJ-970-80.jpg.webp
 


The AI boom just hit a wall nobody saw coming.

And it's not software. It's not regulation. It's not even energy...

It's memory chips.

Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%.

And almost nobody understands why.

Here's the "hidden" crisis the AI industry is trying to hide:

AI data centers are hoarding memory.

Not GPUs. Not processors. MEMORY.

Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping.

One problem: There are only 3 companies in the world that can make it.

Samsung. SK Hynix. Micron.

That's it.

And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers.

The math that breaks everything:

1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM.

AI will consume 20% of global DRAM production in 2026.

But the thing is, consumer demand for RAM didn't disappear.

PCs still need memory. Phones still need memory. Cars still need memory.

But there's no capacity left to make it.

The price explosion:

RAM prices are up 246% in the last 6 months.

DDR5 contract prices jumped 100% month-over-month in some cases.

Dell's CFO said he's "never witnessed costs escalating at this pace."

SK Hynix and Micron? Sold out through all of 2026.

Micron straight up EXITED the consumer memory market entirely to focus on AI customers.

If you're not building an AI data center, you're not getting memory chips.

AI data centers pay 3-5X margins compared to consumer products.

So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business?

Easy choice.

Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop.

It's a zero-sum game. And consumers are losing.

The dangerous cascade effect:

Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory.

Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026.

Xiaomi and other smartphone makers are cutting shipment targets.

Even Intel's crash last week? Partially driven by memory shortages limiting chip production.

This is a PERMANENT reallocation of the world's silicon capacity.

Not a temporary supply hiccup.

For decades, consumer electronics (phones, PCs, laptops) drove memory production.

Now? AI data centers are the priority customer.

And that priority shift is reshaping the entire tech economy.

The timeline Is worse than you think:

Industry analysts project shortages lasting through 2027, maybe 2028.

Why?

Because building new memory fabs takes 3-5 YEARS.

Micron's new Idaho fab won't meaningfully impact supply until 2028.

Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM.

So we're stuck.

AI companies need memory to scale.

But producing that memory DESTROYS the supply chain for everything else.

My question here:

Everyone's betting on AI scaling infinitely.

But what if the AI boom STALLS because there's not enough memory to support it?

What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"?

Intel crashed 17% because they can't manufacture enough chips.

The root cause though? Memory shortages limiting what they can even produce.

Nvidia is cutting GPU production by 40%.

AMD is struggling to get GDDR6 for Radeon cards.

This isn't just a consumer problem. It's an AI infrastructure problem.

And if memory doesn't scale, AI doesn't scale.

The AI industry sold you on infinite scaling.

But they forgot to mention the part where there's only 3 companies making the memory chips that power everything.

And all 3 just chose AI data centers over you.

Even Nvidia can't make enough GPUs to meet demand.

Not because of energy. Not because of regulation...

But because the memory supply chain is BROKEN.

And it won't be fixed until 2028.
 
Nvidia CEO Jensen Huang says ‘a lot’ of six-figure jobs in plumbing and construction are about to be unlocked because someone needs to build all these new AI centers

Jensen Huang tells World Economic Forum that building AI infrastructure will create many trade-related jobs

By Eric Revell FOXBusiness
January 23, 2026


nvidia-jensen-huang-ces-2026.jpg

Huang said that the trillions of dollars in investment for AI will boost wages of construction workers involved in the projects.
 
Elon Musk to end Model S and Model X as Tesla targets 1 million humanoid robots yearly

By Sujita Sinha
Jan 29, 2026


During a Wednesday investor call, he said the automaker will discontinue the Model S sedan and Model X SUV, marking a decisive move away from legacy car programs and toward artificial intelligence and robotics.

The announcement came alongside the company’s latest quarterly earnings, which showed falling vehicle sales but stronger-than-expected profits...

image
 



Khaby Lame just retired at 25 for $975,000,000.

The company that bought it expects to generate $4B this year.

But Khaby didn't just sell his TikTok account.

He sold his entire existence.

The deal includes a scary "AI Digital Twin" clause:

He handed over his:

• Face ID
• Voice ID
• Behavioral models

Since he never speaks in his videos, there's no language barrier.

Which means his AI clone is now:

• Selling sneakers in Shanghai
• Promoting skincare in São Paulo
• Doing brand deals in Los Angeles

All at the exact same time.

Brands are currently paying $1M per ad to use his digital twin.

He doesn't show up.

He doesn't film anything.

He doesn't even open his laptop.

His clone does everything.

While the real Khaby is probably on a beach somewhere.

The trajectory has been nothing short of impressive.

2020: laid off from factory job in Italy
2026: $975M exit without saying a word

He went from unemployment to billionaire status by pointing at things.
 
The US is headed for mass unemployment, and no one is prepared

BY JOHN MAC GHLIONN
OPINION CONTRIBUTOR
01/30/26


For years, I opposed Universal Basic Income, firmly and reflexively. I treated it as a liberal fantasy — an invitation to idleness, a subsidy for stagnation, a sedative administered by a bloated state. Work, I believed, wasn’t merely how societies functioned but how men and women found meaning. Pay people for nothing, and you dissolve discipline. That was the story. I told it often.

That position no longer survives contact with reality.

Something fundamental has shifted, and pretending otherwise is nothing short of denial. The AI revolution is here, and it’s gutting entire sectors with hurricane force. This isn’t an industrial transition, nor a replay of mechanization or globalization. It is a technological rupture of a different magnitude. Machines replacing not only muscle but cognition itself: judgment, pattern recognition, reasoning. And it’s advancing at a pace that outstrips legislation, labor markets, and political capacity, moving faster than most in government are willing to admit.

The most sobering warning comes from Geoffrey Hinton, one of the architects of modern AI. Hinton hasn’t joined the hype merchants. Instead, he has joined the alarmists. His claim is troubling: AI capability is effectively doubling every seven months. Not every decade. Not every few years. Every seven months.

At that pace, change doesn’t arrive gradually but in overwhelming waves. First, it replaces what we dismiss as “menial” cognitive work — call centers, customer service, scheduling, transcription. That phase is already underway. Then it moves into clerical roles, basic accounting, paralegal research, routine journalism, marketing copy, and compliance work. Those jobs are next. After that, no profession is spared, not even software engineering itself.

Hinton insists that within a few years, AI systems will complete monthlong programming projects in hours. When that happens, junior developers will be removed rather than retrained. Teams will shrink. Entire layers will vanish. If the people who build the systems can be replaced by the systems, then no white-collar profession should feel insulated.


Lay out the timeline honestly, and it becomes terrifying. In 2026, AI replaces support roles. In 2027, it consumes administrative and clerical work. By 2028, it’s performing serious professional tasks at scale. By the early 2030s, much of white-collar America may no longer be necessary to the current economic structure.

This brings us to the politically radioactive part: The United States has no plan. None. No labor transition strategy. No reskilling conveyor belt capable of operating at this speed. No serious public conversation about income decoupled from employment. Just vague chatter about “innovation,” paired with the familiar promise that new jobs will somehow appear, as they always have.

We must dispense with the dangerous fiction and start facing the brutal reality.

A society where tens of millions are unemployable is not a sign of free-market success but a powder keg. You can’t preach personal responsibility to a population for whom responsibility has been rendered economically irrelevant. You can’t defend social order while ignoring the conditions that make order possible.

Universal basic income, viewed through this lens, stops looking like a left-wing indulgence and starts looking like a stability mechanism.

That doesn’t mean unconditional generosity or bureaucratic bloat. The conservative case for universal basic income is about preventing social fracture while preserving incentives to contribute, where contribution is still possible. It is about replacing a maze of failing welfare programs with something simple, transparent and limited.

Most importantly, it’s about buying time.

Universal basic income is not an end state but a bridge. A way to prevent mass dislocation while society renegotiates the relationship between work, dignity and income as the 9-to-5 day fades away.

I say this reluctantly, but honestly. Before AI, my opposition to universal basic income was rooted in a world that no longer exists. I assumed work would always be available for those willing to do it. That assumption is now obsolete. Not because people are lazy, but because machines are becoming capable faster than institutions can adapt.

The most dangerous response is to pretend this is a liberal argument, detached from objective reality. It is not. The social consequences of mass displacement — crime, despair, radicalization, resentment — spread. They destabilize everything conservatives claim to want to conserve.

We are approaching a moment where the question is no longer whether AI will replace jobs, but how a democratic society survives when it does. That conversation needs to begin now, while there is still time to shape policy deliberately rather than in panic. The country is already near a breaking point, marked by diminishing trust in institutions, the presidency and even one another. Some will argue that things could improve. They might, but it’s increasingly unlikely. For that reason, waiting is a luxury the country no longer has.

0x0.jpg

British-Canadian computer scientist and cognitive psychologist, Geoffrey Hinton
 
Hyundai plans 30,000 humanoid robots a year for factories by 2028

It sounds like a scene from a science fiction movie: Hyundai Motor Group plans to mass-produce humanoid robots in Georgia, and put them to work helping real humans build cars in the same factory.

Joann Muller
January 5, 2026


1767647795635.jpeg

Boston Dynamics' Atlas robot will be deployed in Hyundai factories starting in 2028.

Amazon’s Robotic Revolution: Will Charlottes Work Force Feel The Shift?
December 23, 2025

Leaked documents obtained by The New York Times suggest Amazon could replace more than half a million jobs with robots.


thumb.php
 
Back
Top