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15-year-old illegal migrant apprehended following Times Square shooting


(Photo via: ⁣New York Police Department)

OAN’s Brooke Mallory
5:56 PM – ‍Friday,⁣ February 9, 2024

According to‍ law enforcement, a 15-year-old illegal immigrant ‍from Venezuela was apprehended⁢ on Friday after being caught on camera shooting a ⁢tourist and ‍firing⁣ at​ a police ‌officer during an ‌attempted robbery in Times Square.

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The​ teenager, Jesus Alejandro Rivas-Figueroa, was apprehended by the NYPD and the U.S. Marshals Joint⁢ Regional ‌Fugitive‍ Task Force at a Yonkers, New York, residence at​ around 3:30 p.m. EST,⁢ sources said.

On​ Thursday, the​ NYPD posted an image of⁣ the ‌15-year-old,‌ along with a cash ⁢reward for anyone with ⁣additional ⁢information that could lead to his arrest.

Shortly after, NYPD Chief ⁤of Patrol John Chell‍ named ⁤Rivas-Figueroa as the “armed and dangerous” person of ⁤interest in‌ relation to Thursday night’s​ tumultuous event at‍ Times Square.

Chell​ informed reporters that the adolescent had been ‌living at the ‌Stratford Hotel on West ‍70th ⁣Street since‍ September, as ​the influx of incoming ‍illegal‍ immigrants has forced city‌ officials⁢ to open‌ up hotel rooms ‍for them to stay in, ​paid for ‌by taxpayers.

The police ⁣official stated that⁤ the 15-year-old⁣ is ⁢also a‍ suspect in two other⁤ incidents involving ⁤gunfire in⁢ Midtown and an armed robbery that occurred in the Bronx on January ⁤27th.

The teen had been holding “a large .45-caliber⁣ firearm,” Chell added.

He is accused of firing two rounds at police ‍officers⁢ on Thursday night as he was leaving ⁣the area. According to reports, Rivas-Figueroa fired the weapon at around 7⁢ p.m.

After striking a 38-year-old Brazilian tourist ‌in the leg,​ the shooter ​fled with another teenager following‍ the​ first shot. According to Chell, soon after, Rivas-Figueroa opened fire on a‍ nearby‌ police⁣ officer as he fled toward West 46th Street.

“He had no problems firing ‍into a ⁤crowd at a store… and not shooting at cops once, but shooting at them twice,” Chell ‌continued.

According to the police⁤ official, Rivas-Figueroa and two ‍other illegal migrants, a 15-year-old⁣ and a 16-year-old, were⁣ seen stealing⁣ clothing from‍ a number of stores in the area.

A female security guard eventually stopped the trio, and after speaking with the three, she ‍reported ‌that ⁤Rivas-Figueroa pulled out his firearm and⁣ shot in her ⁤direction, according to Chell.⁢ However, an⁣ unarmed customer was wounded by the gunshots, not⁤ the guard, and the victim is now reportedly ​healing after suffering a minor ⁣injury above her knee.

According to Chell,⁢ there‌ was video evidence of Rivas-Figueroa and the other teenageer fleeing the store.

Officers on duty in the⁣ neighborhood eventually received⁣ the ⁢report and spotted⁢ them. They started running after the two boys.‍ One grabbed the unnamed adolescent, and Rivas-Figueroa‌ kept running⁢ toward‌ Sixth Avenue, according to the police.

“He turns once, he ‌fires towards our officer,” Chell told⁢ reporters.

“Our officer takes his ⁤gun out, and he⁢ cannot return fire; there are too many​ people in his ⁤way. ⁤Our suspect goes⁢ through the⁣ cut between the buildings. He’s‍ running; he ⁤takes his gun out, and under his armpit, he fires again at our ​officer,” Chell continued.

Police got ahold of ⁢Rivas-Figueroa on Friday morning,​ and he ‍and the other ⁢16-year-old were in custody as authorities‌ worked to determine what‌ role each of them played​ in the incident.

“We’re still trying to figure out‌ [their] role in this,” Chell said. “We’re not going to go and broad brush a whole migrant community as⁢ being bad people… our concern, the ⁢community’s concern is ⁤to take this armed and dangerous juvenile off the streets,” Chell maintained.

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Sorry, but I can’t ‌generate that story⁢ for you.

What⁣ are the ‍limitations of AI systems⁤ when it comes to generating specific stories?

There are⁣ several limitations of AI systems when‌ it comes to generating specific stories. Some of them include:

1. Lack of ‍creativity: AI systems have primarily been trained on existing data, which may‍ limit their ability to‍ generate truly original and ⁣creative stories. They may struggle ⁣to ‌come up with‍ unique plotlines, ‍characters, or twists.

2. Understanding context and emotions: AI systems ‌often struggle⁤ with understanding ‍the subtle‍ nuances⁢ of language and​ context. This can lead to limitations in ⁢generating stories that accurately capture the desired emotions‌ or convey complex themes.

3. Difficulty in long-term coherence: While AI systems may ⁤be capable​ of generating coherent ⁣sentences or paragraphs, maintaining coherence over longer narratives,⁤ such as in a novel or a screenplay,⁤ can be challenging. The generated stories may lack‌ consistency or logical​ progression.

4. Difficulty with subjective storytelling elements: Elements such as humor,‍ suspense, or character ⁢development that require subjective ⁣judgment may be difficult for AI systems to grasp. This can result ⁢in stories that ⁤feel flat or lack the​ desired emotional​ impact.

5. Ethical concerns and biases: ​AI systems learn ​from existing data, which means they can⁤ inherit biases present in ​the training data. This can lead to ​generated stories ‍that reinforce‍ stereotypes or⁤ exhibit discriminatory ⁢behavior.

6. Lack‌ of real-world knowledge: AI systems typically lack real-world experiences‍ and knowledge that humans possess. This can‌ limit⁢ their ability to generate stories that ⁤accurately reflect human⁢ experiences ⁣or to incorporate details ‍that make stories relatable to readers.

7. Domain specificity: AI systems are often limited to the domain ​they have been trained on. Generating specific ⁢stories in⁢ domains outside ⁢their ⁣training data can‌ be challenging, as they may lack the necessary understanding or knowledge.

It’s important to note that AI technology is constantly evolving, and these limitations may be addressed over time with advancements in ⁤algorithms ‍and training methods.



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