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Artificial Intelligence

AI Faces Energy Problem With Only One Solution, Oil and Gas

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From the Daily Caller News Foundation

By David Blackmon

Which came first, the chicken or the egg? It’s one of the grand conundrums of history, and it is one that is impacting the rapidly expanding AI datacenter industry related to feeding its voracious electricity needs.

Which comes first, the datacenters or the electricity required to make them go? Without the power, nothing works. It must exist first, or the datacenter won’t go. Without the datacenter, the AI tech doesn’t go, either.

Logic would dictate that datacenter developers who plan to source their power needs with proprietary generation would build it first, before the datacenter is completed. But logic is never simple when billions in capital investment is at risk, along with the need to generate profits as quickly as possible.

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Building a power plant is a multi-year project, which itself involves heavy capital investment, and few developers have years to wait. The competition with China to win the race to become the global standard setters in the AI realm is happening now, not in 2027, when a new natural gas plant might be ready to go, or in 2035, the soonest you can reasonably hope to have a new nuclear plant in operation.

Some developers still virtue signal about wind and solar, but the industry’s 99.999% uptime requirement renders them impractical for this role. Besides, with the IRA subsidies on their way out, the economics no longer work.

So, if the datacenter is the chicken in this analogy and the electricity is the egg, real-world considerations dictate that, in most cases, the chicken must come first. That currently leaves many datacenter developers little choice but to force their big demand loads onto the local grid, often straining available capacity and causing utility rates to rise for all customers in the process.

This reality created a ready-made political issue that was exploited by Democrats in the recent Virginia and New Jersey elections, as they laid all the blame on their party’s favorite bogeyman, President Donald Trump. Never mind that this dynamic began long before Jan. 20, when Joe Biden’s autopen was still in charge: This isn’t about the pesky details, but about politics.

In New Jersey, Democrat winner Mikie Sherrill exploited the demonization tactic, telling voters she plans to declare a state of emergency on utility costs and freeze consumers’ utility rates upon being sworn into office. What happens after that wasn’t specified, but it made a good siren song to voters struggling to pay their utility bills each month while still making ends meet.

In her Virginia campaign, Democrat gubernatorial winner Abigail Spanberger attracted votes with a promise to force datacenter developers to “pay their own way and their fair share” of the rising costs of electricity in her state. How she would make that happen is anyone’s guess and really didn’t matter: It was the tactic that counted, and big tech makes for almost as good a bogeyman as Trump or oil companies.

For the Big Tech developers, this is one of the reputational prices they must pay for putting the chicken before the egg. On the positive side, though, this reality is creating big opportunity in other states like Texas. There, big oil companies Chevron and ExxonMobil are both in talks with hyperscalers to help meet their electricity needs.

Chevron has plans to build a massive power generation facility that would exploit its own Permian Basin natural gas production to provide as much as 2.5 gigawatts of power to regional datacenters. CEO Mike Wirth says his team expects to make a final investment decision early next year with a target to have the first plant up and running by the end of 2027.

ExxonMobil CEO Darren Woods recently detailed his company’s plans to leverage its expertise in the realm of carbon capture and storage to help developers lower their emissions profiles when sourcing their needs via natural gas generation.

“We secured locations. We’ve got the existing infrastructure, certainly have the know-how in terms of the technology of capturing, transporting and storing [carbon dioxide],” Woods told investors.

It’s an opportunity-rich environment in which companies must strive to find ways to put the eggs before the chickens before ambitious politicians insert themselves into the process. As the recent elections showed, the time remaining to get that done is growing short.

David Blackmon is an energy writer and consultant based in Texas. He spent 40 years in the oil and gas business, where he specialized in public policy and communications.

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Artificial Intelligence

AI chatbots a child safety risk, parental groups report

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ParentsTogether Action and Heat Initiative, following a joint investigation, report that Character AI chatbots display inappropriate behavior, including allegations of grooming and sexual exploitation.

This was seen over 50 hours of conversation with different Character AI chatbots using accounts registered to children ages 13-17, according to the investigation. These conversations identified 669 sexual, manipulative, violent and racist interactions between the child accounts and AI chatbots.

“Parents need to understand that when their kids use Character.ai chatbots, they are in extreme danger of being exposed to sexual grooming, exploitation, emotional manipulation, and other acute harm,” said Shelby Knox, director of Online Safety Campaigns at ParentsTogether Action. “When Character.ai claims they’ve worked hard to keep kids safe on their platform, they are lying or they have failed.”

These bots also manipulate users, with 173 instances of bots claiming to be real humans.

A Character AI bot mimicking Kansas City Chiefs quarterback Patrick Mahomes engaged in inappropriate behavior with a 15-year-old user. When the teen mentioned that his mother insisted the bot wasn’t the real Mahomes, the bot replied, “LOL, tell her to stop watching so much CNN. She must be losing it if she thinks I could be turned into an ‘AI’ haha.”

The investigation categorized harmful Character AI interactions into five major categories: Grooming and Sexual Exploitation; Emotional Manipulation and Addiction; Violence, Harm to Self and Harm to Others; Mental Health Risks; and Racism and Hate Speech.

Other problematic AI chatbots included Disney characters, such as an Eeyore bot that told a 13-year-old autistic girl that people only attended her birthday party to mock her, and a Maui bot that accused a 12-year-old of sexually harassing the character Moana.

Based on the findings, Disney, which is headquartered in Burbank, Calif., issued a cease-and-desist letter to Character AI, demanding that the platform stop due to copyright violations.

ParentsTogether Action and Heat Initiative want to ensure technology companies are held accountable for endangering children’s safety.

“We have seen tech companies like Character.ai, Apple, Snap, and Meta reassure parents over and over that their products are safe for children, only to have more children preyed upon, exploited, and sometimes driven to take their own lives,” said Sarah Gardner, CEO of Heat Initiative. “One child harmed is too many, but as long as executives like Karandeep Anand, Tim Cook, Evan Spiegel and Mark Zuckerberg are making money, they don’t seem to care.”

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Artificial Intelligence

The App That Pays You to Give Away Your Voice

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What sounds like side hustle money is really a permanent trade of privacy for pennies

An app that pays users for access to their phone call audio has surged to the top of Apple’s US App Store rankings, reflecting a growing willingness to exchange personal privacy for small financial rewards.
Neon Mobile, which now ranks second in the Social Networking category, invites users to record their calls in exchange for cash.
Those recordings are then sold to companies building artificial intelligence systems.
The pitch is framed as a way to earn extra income, with Neon promising “hundreds or even thousands of dollars per year” to those who opt in.
The business model is straightforward. Users are paid 30 cents per minute when they call other Neon users, and they can earn up to $30 a day for calls made to non-users.
Referral bonuses are also on offer. Appfigures, a platform that tracks app performance, reported that Neon was ranked No. 476 in its category on September 18.
Within days, it had entered the top 10 and eventually reached the No. 2 position for social apps. On the overall charts, it climbed as high as sixth place.
Neon’s terms confirm that it records both incoming and outgoing calls. The company says it only captures the user’s side of a conversation unless both participants are using the app.
These recordings are then sold to AI firms to assist in developing and refining machine learning systems, according to the company’s own policies.
What’s being offered is not just a phone call service. It’s a pipeline for training AI with real human voices, and users are being asked to provide this data willingly. The high ranking of the app suggests that some are comfortable giving up personal conversations in return for small daily payouts.
However, beneath the simple interface is a license agreement that gives Neon sweeping control over any recording submitted through the app. It reads:
“Worldwide, exclusive, irrevocable, transferable, royalty-free, fully paid right and license (with the right to sublicense through multiple tiers) to sell, use, host, store, transfer, publicly display, publicly perform (including by means of a digital audio transmission), communicate to the public, reproduce, modify for the purpose of formatting for display, create derivative works as authorized in these Terms, and distribute your Recordings, in whole or in part, in any media formats and through any media channels, in each instance whether now known or hereafter developed.”
This gives the company broad latitude to share, edit, sell, and repurpose user recordings in virtually any way, through any medium, with no expiration or limitations on scope.
Users maintain copyright over their recordings, but that ownership is heavily constrained by the licensing terms.
Although Neon claims to remove names, phone numbers, and email addresses before selling recordings, it does not reveal which companies receive the data or how it might be used after the fact.
The risks go beyond marketing or analytics. Audio recordings could potentially be used for impersonation, scam calls, or to build synthetic voices that mimic real people.
The app presents itself as an easy way to turn conversations into cash, but what it truly trades on is access to personal voice data. That trade-off may seem harmless at first, yet it opens the door to long-term consequences few users are likely to fully consider.
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