AI is dying

[NinjaPoodle]

0cdbba2e9.webp (85.21 KiB) Viewed 24 times

[Smucky]

Instead of looking for employment, maybe I should just start hacking stuff and demanding ransom
abcnews.com/US/addicted-hacking-young-hacker-historic-breach-speaks-1st

[Smucky]

[Smucky]

I don't know why, but this vid really pisses me off. I feel like this is going to be next few years of "AI powered" stuff. Nothing new will be done, just taking existing things, stuffing AI in it, and rent-seek off of that. No new products, just rehashed AI shit

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[Smucky]

AI SHIT

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Intelligence, but it is artificial

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[Smucky]

Instead of looking for employment, maybe I should just start hacking stuff and demanding ransom
abcnews.com/US/addicted-hacking-young-hacker-historic-breach-speaks-1st

Of course right when I look into this they have deployed "cyber safeguards"

[Smucky]

More "AI is dying" stuff

Article

and video



and AI summary

Summary: "The AI Industry Is Lying To You" — Ed Zitron, Where's Your Ed At
Published March 24, 2026 | Original Article

Overview
Ed Zitron argues that the entire AI industry is propped up by a manufactured sense of inevitability, and that a close look at the data reveals a bubble built on broken promises, misleading statistics, and outright media complicity.

1. Data Center Construction Is Massively Overstated
The article opens with a striking data point: of the 241GW of "announced" US data center capacity, only 33% is actually under active development, and of that, only 5GW globally is truly under construction. New capacity additions to the pipeline also halved in Q4 2025.
Zitron estimates that North America only added roughly 3GW of actual, revenue-generating IT load in all of 2025 — a number he calls "a fucking disaster" given the scale of investment being claimed.
Key problems:

• 58% of data centers haven't secured a stable power source — they're relying on utilities that only supply power to the fence, not generate it.
• The grid operator PJM has committed power to data centers at 3x the rate that new generation is coming online.
• Construction timelines of 18 months to 3+ years are being routinely hidden from public discourse.

2. NVIDIA Is Selling GPUs Faster Than Anyone Can Install Them
NVIDIA made ~$135 billion in US data center revenue in FY2026, but given the 3GW of actual capacity brought online, Zitron calculates roughly $44 billion worth of GPUs remain uninstalled. At the current pace, it takes about 6 months to operationalize a single quarter's worth of GPU sales.

"NVIDIA is the largest company on the stock market, and said valuation is a result of a data center construction boom that appears to be decelerating."

3. The Media Is Helping Cover It Up
Zitron accuses the press of uncritically reporting "announced" and "delivered" capacity as if it were operational. A prime example: CNBC declared Stargate Abilene "open" when only a fraction of its IT load was online. At its actual build rate, Stargate Abilene won't be fully complete until late 2027 at the earliest. Meanwhile, Microsoft's UK "supercomputer" is literally still a scaffolding yard.

4. NVIDIA GPUs Are Being Smuggled to China
Supermicro co-founder Wally Liaw was arrested for allegedly diverting hundreds of millions of dollars of NVIDIA GPUs to China — with over $510 million shipped in just six weeks in 2025. Separately, Bloomberg investigated Singapore-based Megaspeed, which appears to have a shadowy Chinese corporate twin and billions in unaccounted-for NVIDIA chips.
Zitron stops short of accusing Jensen Huang directly, but finds it "remarkable" that NVIDIA's CEO would have no knowledge of these diversions.

5. AI Coding Is Rotting Big Tech From the Inside
Major tech companies are forcing employees to use AI coding tools, tying performance reviews and compensation to token usage. The results:

• Amazon's AI tool Q contributed to an outage causing 6.3 million lost orders in a single day.
• Meta suffered a major security breach from an unsanctioned AI agent.
• A culture of "tokenmaxxing" — burning tokens to look productive — is spreading, as covered by the NYT, with engineers spending thousands of dollars a day on AI without being able to explain what they actually built.

Zitron argues that LLM-generated code is verbose, untested, and written without intention — and that engineers encouraged to stop writing real code are losing the very skills that make them valuable.

Conclusion
Zitron's central thesis: the AI industry is built on lies at every level. Announced data centers aren't being built. GPUs aren't being installed. AI compute companies are losing hundreds of millions. "Productivity gains" from AI coding are largely performative. And a compliant media has helped paper over all of it.

"Looking even an inch beneath the surface of this industry makes it blatantly obvious that we're witnessing one of the greatest corporate failures in history."

[NinjaPoodle]

AI workers will replace humans withing two years.

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[Smucky]

AI workers will replace humans withing two years.


6ea9eb82b668ddd.mp4

I keep watching that over and over again. I can't tell if that is an AI video. Like why did it explode like that? And why was there already a crew with a stretcher waiting

[NinjaPoodle]

AI workers will replace humans withing two years.


6ea9eb82b668ddd.mp4

I keep watching that over and over again. I can't tell if that is an AI video. Like why did it explode like that? And why was there already a crew with a stretcher waiting

Another question is why there was sand in the robot.

[Smucky]

AI workers will replace humans withing two years.


6ea9eb82b668ddd.mp4

I keep watching that over and over again. I can't tell if that is an AI video. Like why did it explode like that? And why was there already a crew with a stretcher waiting

Another question is why there was sand in the robot.

Yea a bunch of stuff just crumbled off of it.

Maybe soulsand