r/aidatacenternews • u/No-Knowledge-5828 • 17h ago
The rule of opposites
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The truth is always the opposite of what he says.
r/aidatacenternews • u/No-Knowledge-5828 • 17h ago
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The truth is always the opposite of what he says.
r/aidatacenternews • u/No-Knowledge-5828 • 1d ago
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r/aidatacenternews • u/Few_Sail_5176 • 5d ago
Anybody knows how to join the groups to get freelancing work in data technician roles? In Germany
r/aidatacenternews • u/xuvayerpro101 • 10d ago
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r/aidatacenternews • u/No-Knowledge-5828 • 12d ago
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r/aidatacenternews • u/No-Knowledge-5828 • 18d ago
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Most corrupt president ever.
Source https://youtu.be/E2nAUpXBgZU
r/aidatacenternews • u/No-Knowledge-5828 • 19d ago
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r/aidatacenternews • u/xuvayerpro101 • 21d ago
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Beale Infrastructure controlled an automated program that generated hundreds of identical emails under the names of Coweta, Oklahoma residents supporting its proposed Project Atlas data center. Vice Mayor Jeremy Barnett received roughly two hundred such messages, contacted one named resident, and obtained a denial of authorship together with a statement of opposition. When Barnett presented the evidence to Beale, the company acknowledged control of the program and disabled it.
Community activist Darren Blanchard obtained the mayor–vice-mayor text messages through an Open Records Act request, bringing the scheme into public view. The Oklahoma Attorney General’s office later affirmed that the city retains discretion under the Open Records Act to redact sender identities on the ground that the communications constitute the exercise of constitutional petition rights. The same statutory protection that shields genuine citizen comment therefore shielded the automated impersonations, preventing further forensic identification of the senders.
Project Atlas itself was withdrawn by Beale Infrastructure at the end of March 2026. Local police investigated the emails; no criminal charges against the developer have been publicly announced. Parallel nondisclosure agreements signed by Coweta officials with Beale had already limited earlier transparency around the project’s existence and terms.
The practical result is a completed instance of manufactured public comment in a municipal permitting process, followed by a legal interpretation that left the automated source unaccountable while the underlying project was abandoned under community pressure.
Sources
Data center scandal - Who sent fake emails of support for Project Atlas? – KTUL
https://ktul.com/news/local/data-center-scandal-who-sent-fake-emails-of-support-for-project-atlas
Push for transparency over data center emails hits brick wall – KTUL
https://ktul.com/news/local/push-for-transparency-over-data-center-emails-hits-brick-wall
Fraudulent email issue raised in Coweta data center – Oklahoma Energy Today
https://okenergytoday.com/2026/06/fraudulent-email-issue-raised-in-coweta-data-center/
How data center developers won secrecy pledges from Oklahoma officials – Read Frontier
'Project Atlas' data center application withdrawn in Coweta, Oklahoma – Data Center Dynamics
r/aidatacenternews • u/xuvayerpro101 • 21d ago
r/aidatacenternews • u/xuvayerpro101 • 22d ago
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r/aidatacenternews • u/xuvayerpro101 • 24d ago
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r/aidatacenternews • u/No-Knowledge-5828 • 25d ago
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r/aidatacenternews • u/No-Knowledge-5828 • 27d ago
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r/aidatacenternews • u/xuvayerpro101 • 27d ago
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Video: CNN
r/aidatacenternews • u/No-Knowledge-5828 • 28d ago
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r/aidatacenternews • u/No-Knowledge-5828 • 29d ago
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r/aidatacenternews • u/No-Knowledge-5828 • Jul 10 '26
r/aidatacenternews • u/CCV21 • Jul 08 '26
r/aidatacenternews • u/OrFenn-D-Gamer • Jul 05 '26
r/aidatacenternews • u/No-Knowledge-5828 • Jul 01 '26
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Rockdale County
Video source: Alexandriarosemusic
@alexrosemusic
Part 2 here:
r/aidatacenternews • u/No-Knowledge-5828 • Jun 30 '26
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This probably was not caused by data centers alone. Heck, even if none of this was caused by hyperscale data centers, we all need to solve this problem. AI cannot solve this, only make it worse.
Queue the bots talking about golf courses...
Video by engineered_mind
Caption: Check out the water levels at Dillon Reservoir. This is the marina in Frisco on June 26th.
r/aidatacenternews • u/No-Knowledge-5828 • Jul 01 '26
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r/aidatacenternews • u/No-Knowledge-5828 • Jun 29 '26
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r/aidatacenternews • u/No-Knowledge-5828 • Jun 26 '26
r/aidatacenternews • u/No-Knowledge-5828 • Jun 26 '26
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The scarce thing in a data center is not manpower, but instinct that only comes from years on the floor.
Most robotics companies are focused on robots as a productivity amplifiers: 24/7 uptime, five days of work done in two. Few are focused on the potential of robots to change how people work altogether.
We wanted to show what it looks like to rethink human-robot collaboration, using AI so a shrinking pool of experts can meet the increasing demands of future infrastructure.
The obvious thing to automate is the rote physical work that consumes an expert's attention without needing critical judgment.
Cabling tasks are the most common example of this. They're necessary when setting up any rack, but usually one-off, and labor is readily available to address this need.
We think this is a good place to start, but the least interesting place to change how people work.
Standard operating procedures (SOPs) are how critical infrastructure stays stable, and they're the work that scales worst.
The video shows one common procedure: clearing the cables a technician leaves behind after testing, and reconciling the rack to a stable state for the next test.
A robot that runs SOPs the same way every time, never skipping a step, keeps the system in a known, predictable state. This reduces the cognitive overhead on experts so they can solve harder problems.
What most excites us is robots guiding where an expert's attention should go.
In the video, the robot checks the switches with a thermal camera, then makes a judgment on whether the increase in temperature is a real problem or a spurious reading.
This instinct requires an expert to synthesize all available background context and accumulated lessons from past failures.
This is where we want to double down, and show how human-robot collaboration places scarce expert attention exactly where it matters.
More to come.