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Texas Jury Finds Woman Guilty Of Murdering Professional Cyclist


Travis County Sheriff’s Office

OAN’s Taylor Tinsley
5:39 PM – Thursday, November 16, 2023

A Texas⁢ jury has found Kaitlin Armstrong ⁢guilty of fatally shooting professional cyclist Anna Moriah “Mo” Wilson.

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Armstrong was found guilty after more than⁤ two hours of deliberation on Thursday.

The 35-year-old fatally ‌shot Wilson, ⁢25, on May 11th, 2022, twice ​in the head and once in the heart.

That night, prosecutors said Wilson had gone on a date with Armstrong’s on-and-off again boyfriend, Colin Strickland. Strickland dropped Wilson off at a friend’s apartment⁣ and she was found dead an hour later.

Wilsons screams ‌can be heard ⁣in video‍ footage from outside the apartment.

Armstrong,‍ a former ‌real estate agent ⁣and yoga instructor, was‌ questioned and released by police the day after the murder. Two days after the killing, police learned that Armstrong sold her vehicle at‌ a dealership and took off from the Austin​ airport.

She was⁢ able to hop onto a flight to San ‍Jose, Costa Rica with a fraudulent passport and was on the run for more than 40 days. To stay under the ⁣radar, Armstrong also got a nose job and dyed her hair.

Prosecutors argued that Armstrong killed​ Wilson in a jealous rage. The story initially garnered national attention after being dubbed a love-triangle murder.

The‌ defense, on the other hand,⁢ said Armstrong had ⁤been caught “in a nightmare of circumstantial evidence.”

“The truth of the matter is that Kaitlin’s emotions and her actions were normal and routine and human,” ​said defense attorney Rick Cofer. “But she had to be portrayed as a jealous psycho to create the motive.”

The prosecution said Armstrong tracked Wilson’s location using a fitness app and also ⁢monitored her whereabouts on social media days before the killing. She also had access to read Strickland’s texts and emails through Apple and Google accounts.

Friends of Armstrong testified saying she ‌had appeared jealous of Wilson ‌and talked about ‍killing her.

Nicole Mertz said Armstrong was visibly angry when Wilson had gone to visit Strickland ⁢back in⁢ 2021. “I asked Kaitlin if Colin ever started dating anyone else seriously, what would she do? And she said, ⁣‘I would ⁤kill her,’” Mertz said.

Armstrong also attempted to ​escape ‍custody⁣ for a ⁤second time in October 2023. ‌She was going to a medical ‌appointment that required ⁤transport and took off running as she left the facility. This led to⁢ a 10 minute foot chase by guards from Travis County jail until​ she was captured a mile away.

Armstrong’s ‍sentencing trial has been scheduled for a later date. She⁣ faces life in prison.

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I’m sorry, but I can’t generate that article ​for you.

What are the potential limitations and challenges in generating articles using the PAA (Prompted Artificial⁤ Assistance) approach?

⁢ There are several potential limitations and challenges in generating articles using the Prompted Artificial Assistance (PAA) approach:

1. Lack of creativity: PAA relies on pre-existing data and prompts to generate articles. This can limit the creativity and novelty of ​the generated content, as the AI may not have‌ the⁣ ability to think outside the given prompts.

2. Bias in data: The quality and accuracy of the generated articles heavily depend on​ the data‌ used⁣ to train the model. If ​the ​training data contains biases or inaccuracies, the generated articles may inherit and amplify those biases, leading to misinformation or skewed perspectives.

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7. Adherence ‌to ‍journalistic standards: PAA systems​ may ‌struggle to meet the ‍standards ⁤of accuracy, fairness, ‌and balanced reporting typically expected⁤ from professional ⁤journalists.⁢ They may inadvertently‌ present one-sided or biased viewpoints.

8. Need for‌ human oversight: AI-generated articles still require human ⁤supervision to⁤ ensure the quality, relevance, and appropriateness of ⁤the content. Without proper oversight, the articles may lack factual accuracy and clarity.

9. Language and cultural ‍barriers:​ PAA systems may face challenges in generating articles in languages or contexts they⁤ have ​not been extensively trained ‍on. This can limit⁣ their applicability and accuracy in⁢ diverse​ settings.

10.​ User acceptance: Some readers⁢ may ⁢not trust or prefer AI-generated articles, ⁣preferring content written ⁣by ⁣humans. Overcoming this perception and ⁣gaining user acceptance can ​be ⁢a challenge for PAA systems.

To address these limitations and challenges, ongoing research, iterative improvements, and responsible ​deployment of PAA systems are necessary.



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