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Investigating the use and dangers of artificial intelligence in Jacksonville policing

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A Lee County man was wrongfully arrested last year after AI facial recognition technology used by the Jacksonville Sheriff’s Office got it wrong. Experts are now warning about the potential dangers of the technology.

The Jacksonville Beach Police Department said 51-year-old Robert Dillon allegedly tried luring a 12-year-old child in Jacksonville Beach back in November of 2023. According to a police report, Dillon was linked to a suspect caught on surveillance video in a Jacksonville Beach McDonald’s through the use of the Jacksonville Sheriff’s Office’s AI facial recognition technology.

Jacksonville Beach PD conferred with JSO, according to the report, and the technology found a 93% match between Dillon and the suspect using that technology. The report says police then provided a photo spread of Dillon and other similar-looking individuals to two witnesses. Both identified Dillon as the suspect.

However, the case would later be completely dropped. The state attorney’s office told Action News Jax the arrest will be wiped from Mr. Dillon’s record.

“Police are not allowed under the Constitution to arrest somebody without probable cause,” Nate Freed-Wessler with the American Civil Liberties Union would later tell Action News Jax. “And this technology expressly cannot provide probable cause, it is so glitchy, it’s so unreliable. At best, it has to be viewed as an extremely unreliability lead because it often, often gets it wrong.”

Freed-Wessler is the deputy director for the ACLU’s Speech, Privacy, and Technology Project. He was also part of the legal team that helped sue on behalf of Robert Williams – a Detroit man wrongfully arrested thanks to facial recognition similar to the technology used to identify Dillon. The Detroit Police department settled that case for $300,000 in damages, and implemented safeguards when using AI facial recognition in their investigations.

Freed-Wessler told Action News Jax that wrongful arrests using AI facial recognition are more common than many think, especially among people of color.

“It’s partly because of photo quality problems in low light situations, when the cameras are trying to identify darker skin people,” Freed-Wessler explained. “In fact, in almost all of the wrongful arrest cases around the country that we know of, it’s been black people who have been incorrectly, wrongfully picked up by police.”

Action News Jax sat down with Jacksonville Sheriff T.K. Waters to discuss the use of AI facial recognition technology in Jacksonville Sheriff’s Office investigations. Sheriff Waters reassured the technology is simply a small piece of the investigative puzzle.

“If you came to me with a facial recognition hit and that was your probable cause, I would probably kick you out of my office because that’s not how it works,” Sheriff Waters explained. “And I can’t speak to [the Jacksonville Beach Police Department’s] investigation. I can tell you this, there better be a lot more that goes along with that to help make sure that we have the proper individual too.”

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However, Freed-Wessler believes this procedure wasn’t properly followed by Jacksonville Beach police in their investigation, adding that photo spreads based on a facial recognition match aren’t sufficient evidence to make an arrest.

“When this technology gets it wrong, it’s going to get it wrong with a face of somebody who looks similar to the suspect,” Freed-Wessler explained. “It’s no surprise that when police juice a lineup procedure with a doppelganger, with a lookalike, a witness is going to choose an innocent person.”

Now, the Jacksonville Beach Police Department tells Action News Jax the investigation is still open after Dillon was cleared of any wrongdoing, adding in part:

“We will not be commenting on this matter beyond stating that all warrant requests are submitted to the state attorney’s office. It is solely their decision whether or not to move forward with issuing a warrant.”

Action News Jax reached out to the state attorney’s office as well. A spokesman only confirmed Dillon was cleared of any wrongdoing.

Now, Dillon’s lawyer tells Action News Jax that he is seeking compensation, although he and Dillon declined interview requests.

Meanwhile Courtney Barclay, an AI policy expert at Jacksonville University, said law enforcement agencies across the nation will continue to use AI and facial recognition. Barclay outlined the need to always second-guess.

“Every industry is just now starting to scratch the surface of the potential of AI, how it can impact our society. Law enforcement is no exception,” Barclay said. “And so, again, we just want to be cognizant of the risks.”

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Is AI changing our language? – Computerworld

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Is AI changing our language?  Computerworld



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Prediction: This Unstoppable Artificial Intelligence (AI) Stock Will Be the World’s First $10 Trillion Company by 2030

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Nvidia’s projected growth allows it to easily become a $10 trillion business by 2030.

Currently, Nvidia (NVDA) is the world’s largest company, with a market cap of $4.2 trillion. So, predicting that a stock will reach a $10 trillion market cap by 2030 is daunting. However, I think that Nvidia is up to the task, as it’s slated to capitalize on massive and growing AI computing capacity.

As AI spending rises, so will Nvidia’s stock. Companies are a long way from completing the buildout of necessary AI computing power, and this demand is what will drive Nvidia to become a $10 trillion company by 2030.

Image source: Getty Images.

The AI hyperscalers are still ramping up their data center spending

Nvidia makes graphics processing units (GPUs), which are the computing muscle behind nearly every AI model you can use today. They possess a unique attribute that enables them to process multiple calculations in parallel, providing superior computing power compared to traditional computing devices. They can also be connected in clusters to amplify this effect, which is why you hear about data centers with hundreds of thousands of GPUs.

2025 was a record-setting year for data center capital expenditures, and that trend appears to be continuing. Many AI hyperscalers have already warned investors that spending in 2026 will be even greater than in 2025, which also indicates further growth beyond 2026.

Most data centers take several years to complete construction, so the money spent in 2025 to purchase land, design the facility, and initiate construction will translate into these clients purchasing Nvidia GPUs in 2026 or 2027. So, whenever you hear an AI hyperscaler announce that they’re building a facility in a location, it’s safe to assume that Nvidia’s growth horizon was extended at least another two or three years.

This jives with what Nvidia’s management has told investors during various conference calls. In the second quarter, they estimated that the big four AI hyperscalers will spend around $600 billion on data center capital expenditures. However, they expect that figure to rise to $3 trillion to $4 trillion when all customers worldwide are included. With Nvidia retaining an estimated 35% of this data center spend, it’s slated to capitalize on massive growth during the next few years.

This is the fuel that Nvidia needs to reach a $10 trillion market cap, and I won’t be surprised if Nvidia eclipses this monumental threshold by 2030.

Nvidia could be a much larger company than just $10 trillion

Using the bottom end of the estimated range, $3 trillion, and dropping Nvidia’s take to 30% to bake in a bit of conservatism, indicates Nvidia would generate $900 billion in revenue by 2030. If Nvidia maintains its 50% profit margin, that would translate into net income of $450 billion by 2030. Over the past 12 months, Nvidia has generated $165 billion in revenue and $87 billion in profits, indicating a substantial increase.

NVDA Revenue (TTM) Chart

NVDA Revenue (TTM) data by YCharts

But are those figures enough to make Nvidia a $10 trillion company? Remember, this is only data center revenue, not any revenue the company generates from other business pursuits. Therefore, the actual revenue and profit totals are likely to be significantly higher.

Even only considering projected data center growth, it’s still sufficient to reach $10 trillion for Nvidia.

If we assign Nvidia a price-to-earnings (P/E) ratio of 30 times earnings, a reasonable price tag considering Nvidia’s growth and importance, that would indicate that Nvidia’s stock could be worth $13.5 trillion by 2030. That’s far above the $10 trillion threshold, and that only includes the data center business. Additionally, this was due to Nvidia losing some of its share in the spending pie and the lower end of Nvidia’s projection.

As a result, I’m confident that Nvidia can easily pass the $10 trillion threshold by 2030, making it a no-brainer buy today.



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Tesla Says XAI Stands for “EXploratory AI.” Does It?

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Last week, Tesla unveiled a ten-year compensation plan for Elon Musk that could turn him into a trillionaire. Perhaps by accident, it may have also invented an alter ego for one of Musk’s other major holdings, xAI.

Across 16 pages of its September 5 proxy statement, the automaker detailed a plan centered on targets for earnings and growth in key product lines that could result in Musk owning more than a quarter of what would be an $8.5 trillion company.

In explaining its position, Tesla noted that Musk has built several very valuable companies: “Space Exploration Technologies Corp., Neuralink Corp. and eXploratory Artificial Intelligence or ‘xAI.'”


A screenshot of Tesla's Septmber 5, 2025 proxy statement, with the phrase "eXploratory Artificial Intelligence or 'xAI'" underlined and indicated with an arrow.

An excerpt from Tesla’s September 5 2025 proxy statement.

Tesla; Sophie Kleeman/BI



It referred to the company simply as xAI, or by its legal name, X.AI Corp., in other parts of the document.

The wrinkle? Neither Musk nor xAI appears to have publicly claimed that the company’s name stands for “eXploratory artificial intelligence.” In fact, the name doesn’t appear to stand for anything at all.

The phrase “exploratory artificial intelligence” or “exploratory AI” doesn’t appear on xAI’s website, any of its public securities filings, the Nevada articles of incorporation of X.AI Corp., filings in any federal lawsuit to which xAI is a party, or any other xAI-related news articles, press releases, or public filings reviewed by Business Insider. These sources instead refer to the company as xAI or its legal name.

The phrases “exploratory artificial intelligence” and “exploratory AI” don’t appear to be used frequently online. A few companies have referred to “exploratory AI initiatives” in press releases or public filings, and a few academics have used the initials “XAI” to refer to “explainable” or “exploratory” AI in papers.

Several posts on niche blogs claim that the name of Musk’s AI company is shorthand for “exploratory artificial intelligence,” but they don’t cite sources.

Those words have occasionally been strung together on social media. Musk’s chatbot Grok used the term “exploratory AI” in nine separate X posts in July and August 2025, accounting for nearly all uses of the term on X during that time, though never as another name for xAI, a search shows.

Tesla and xAI didn’t respond to emailed questions about whether xAI stands for “exploratory artificial intelligence.”

X.AI Corp. was formed in Nevada in March 2023. Musk announced the creation of the company in an audio livestream in July. The AI company merged with Musk’s social-media company X. Corp. earlier this year.

“The overarching goal of xAI is to build a good AGI with the overarching purpose of just trying to understand the universe,” Musk said on the livestream, using an acronym for artificial general intelligence.

One thing is clear: Musk really likes the letter “X.” Space Exploration Technologies Corp., his second-most valuable company, is known as SpaceX. One of Tesla’s top-selling cars is the Model X, and one of his children was named X Æ A-12 (now known by the nickname “X.”).

X.com was also the name of a financial technology company Musk co-founded in 1999. It eventually became PayPal; Musk bought the domain name X.com back in 2017 and, after buying Twitter in 2022, he moved it to X.com.

Have a tip? Know more? Reach Jack Newsham via email (jnewsham@businessinsider.com) or via Signal (+1-314-971-1627). Do not use a work device or work WiFi. Use a personal email address, a nonwork device, and nonwork WiFi; here’s our guide to sharing information securely.





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