https://heatmap.news/politics/americ...a-centers-pollAt least seven in 10 Americans would now oppose a data center being built near their home, according to a new Heatmap Pro poll, a record low that reveals a staggering shift in public opinion against the facilities powering the artificial intelligence boom.
The survey, conducted by Embold Research, finds that an outright majority of Americans are now strongly opposed to data center construction in their area. Young people, Democrats, and rural voters are more hostile to the projects, but they are broadly unpopular with Americans across geographic and political categories.
NIMBYs gonna love
(Story is at least 10 months old)
https://techcrunch.com/2026/06/04/me...ters-in-tents/
https://www.tomshardware.com/tech-in...e-of-expansion
That's gonna power the Metaverse, right Zuck?
AI is eating RAM
https://this.weekinsecurity.com/meta...ts-ai-chatbot/Meta confirms thousands of Instagram accounts were hacked by abusing its AI chatbot
Meta is notifying thousands of people whose Instagram accounts were hijacked during the months-long abuse of the company's AI chatbot, which hackers repeatedly tricked into taking control of a person's account.
In a new data breach notification letter, seen by this week in security, Meta has revealed for the first time how many people had their accounts hijacked as part of the long-running hacking campaign, which was discovered earlier this week and first reported by 404 Media ($) and TechCrunch ($). The number of affected accounts gives some clarity as to how widespread this hacking campaign was, and for how long it operated.
According to the data breach notice filed with Maine's attorney general's office late on Friday, Meta notified at least 20,225 people that their accounts had been compromised, including 30 people in Maine.
The compromises allowed the hackers to take over the person's entire Instagram and any linked accounts, including obtaining contact information, dates of birth, and profile information, as well as the ability to access the person's posts, direct messages, and account activity, the notice reads.
...
tl;dr
the hackers asked Meta AI to reset other people's Insta passwords and email them back
https://unessays.substack.com/p/talk-is-cheapTalk is Cheap
What the data says about the operational impacts of LLM use in the software industry
My stance originates from stumbling on Faros.ai - a software development telemetry firm. They have products that pipe into common development tools like Jira, Github, CI/CD pipelines, and service ticket tracking systems to directly measure major output metrics for software development teams. This data is different in kind than productivity studies in that it actually instruments value delivery to customers.
Faros published a report in March that measures the impact of LLM use on 4000 teams over 2 years. The methodology is quite strong. Their metrics are comparing the same organizations between their lowest AI adoption quarter versus their highest after some standardization. This eliminates a lot of confounding variables.
This is, by far, the best data I’ve been able to locate that directly measures the value delivery impact of LLM use in aggregate across software development processes.
It’s bad.
Really, really, really bad.
I’m going to give you the headline conclusions now from my analysis:
* Faros’ customers, at the peak of their AI use are probably shipping less software into production.
* On average, Faros’ customers’ bottleneck is located in the review stage of their software production process.
* Faros’ customers - on average - are trading off developer productivity for product quality and finished feature throughput.
If you take this data seriously (as I do) and you have no data specific to your organization to contradict it - then I think this data should adjust your priors about LLM use in your org to this:
Your org is likely shipping less output at lower quality.
By employing stochastic black boxes to build our products, we’ve simultaneously accelerated defect injection into the software production process and relocated the defect removal process to review where it is much less effective. These two drivers are increasing rework and subtracting from overall product throughput.
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