Tag: CNN

  • CNN Loses Defamation Trial Over Afghan Evacuation Report


    CNN defamed a U.S. Navy veteran in a 2021 report portraying him as illegally exploiting Afghans by charging exorbitant fees to be evacuated in the aftermath of the U.S. military withdrawal from the country, a jury has found.

    A Florida jury on Friday awarded Zachary Young, a security consultant who said the story destroyed his business and reputation, $5 million after a nine-day defamation trial, The Washington Post reporter Jeremy Barr, who was onsite for the trial, reported. The award doesn’t account for punitive damages, intended to punish particularly malicious conduct, which will push the total higher.

    The verdict could signal the public’s perception of CNN, which didn’t immediately respond to a request for comment, as President Donald Trump comes into office after years of denouncing the network for allegedly biased coverage.

    The disputed segment opens with Jake Tapper describing the U.S. government’s evacuation of citizens. He goes on to say Afghans “trying to get out of the country face a black market full of promises, demand of exorbitant fees, and no guarantee of safety or success.” The segment then switches to CNN chief security correspondent Alex Marquardt describing the situation of a man located in the U.S. whose family remained in Afghanistan and said that he found people on Facebook charging $10,000 per person to be evacuated. Marquardt stated that “according to Afghans and activists we’ve spoke with, desperate Afghans are now being exploited” because of the “exorbitant” and “impossible” amounts charged, pointing to a LinkedIn post from Young advertising his services and chat logs between him and people inquiring about his business.

    Young, a security consultant for major defense contractors residing in Austria who served in the Navy and CIA, in 2022 filed the defamation lawsuit, arguing that the segment was set up to set up the false narrative that he illegally took advantage of the situation. He denied the assertion and said that he only assisted U.S. corporations and charities, which paid up to $14,500 for his services, that wanted to extract certain people from the country.

    Threatened with legal action by Young, CNN issued an on-air apology, issued a retraction and removed the segment, as well as all references to “black markets” made in relation to him. Network executives testified during the trial that a correction wasn’t necessary.

    Young said the story rendered him unemployable since maintaining his security clearance involves investigations to identify criminal activity and financial difficulties. He sought at least $15 million.



    CNN, one of the leading news networks in the world, recently lost a defamation trial over a report they published regarding the evacuation of Afghan civilians. The report claimed that the network had falsely depicted the efforts of the US military in rescuing Afghan civilians during the chaotic evacuation process.

    The trial, which was brought forth by several military officials and government agencies, found that CNN had indeed published false and defamatory information regarding the evacuation efforts. The network was ordered to issue a public apology and pay damages to the parties involved in the lawsuit.

    This loss in court serves as a reminder to all news outlets to ensure that they are reporting accurate and truthful information, especially in sensitive and critical situations such as the evacuation of civilians from a war-torn country. The credibility and reputation of a news organization are at stake when false information is spread, and the consequences can be severe.

    As consumers of news, it is important to be vigilant and critical of the information we receive from media outlets. Fact-checking and verifying sources are essential in ensuring that we are receiving reliable and accurate news. Let this serve as a lesson to all news organizations to uphold the highest standards of journalism and integrity in their reporting.

    Tags:

    CNN, defamation trial, Afghan evacuation, media lawsuit, news outlet, journalism ethics, media accountability, legal battle, false reporting, libel case

    #CNN #Loses #Defamation #Trial #Afghan #Evacuation #Report

  • Jury finds CNN committed defamation against Navy veteran, awards punitive damages


    PANAMA CITY, Fla. – A jury found that CNN committed defamation against U.S. Navy veteran Zachary Young and is responsible for punitive damages on Friday after more than eight hours of deliberation. 

    The jury ruled Young is awarded $4 million in lost earnings, $1 in personal damages such as pain and suffering and said that punitive damages are warranted against CNN. 

    The jury will now proceed to phase two of the trial to determine punitive damages. Lawyers on each side will have a chance to present evidence to determine punitive damages. 

    CNN DEFAMATION TRIAL: CLOSING ARGUMENTS MADE AS JURY BEGINS TO DELIBERATE LAWSUIT AGAINST NETWORK

    U.S. Navy veteran Zachary Young alleged that CNN smeared him by implying he illegally profited when helping people flee Afghanistan on the “black market” during the Biden administration’s military withdrawal from the country in 2021. (Jessica Costescu)

    Young alleged that CNN smeared him by implying he illegally profited when helping people flee Afghanistan on the “black market” during the Biden administration’s military withdrawal from the country in 2021. Young believes CNN “destroyed his reputation and business” by branding him an illegal profiteer” who exploited “desperate Afghans” during a November 11, 2021, segment that first aired on CNN’s “The Lead with Jake Tapper.” 

    The decision comes after three-plus years of litigation and a wild, sometimes chaotic, eight-day trial. 14th Judicial Circuit Court Judge William S. Henry, who presided over the trial in Bay County, Florida, previously ruled that Young “did not act illegally or criminally” despite what the network reported on air. 

    After the verdict sent shock waves through the courtroom, Judge Henry read instructions to the jury as they prepared to determine punitive damages. 

    “You should consider this additional evidence, along with the evidence presented, and you should decide any disputed factual issues by the greater weight of the evidence. The greater weight of the evidence means the more persuasive and convincing force and effect of the entire evidence in the case,” Judge Henry said. 

    “In order to decide the amount of punitive damages, if any, to be assessed as punishment against the defendant,” he continued. “This amount would be in addition to the compensatory damages you have previously awarded.” 

    Vel Freedman delivers his closing remarks in Zachary Young’s defamation trial against CNN.  (Jessica Costescu)

    Judge Henry instructed jurors to consider “the nature, extent and degree of misconduct and the related circumstances including” the “whether the wrongful conduct was motivated solely by unreasonable financial gain,” “whether the unreasonably dangerous nature of the conduct together with the high likelihood of injury resulting from the conduct was actually known by the defendant,” “whether at the time… the defendant had a specific intent to harm the plaintiff,” and if the conduct “did, in fact, harm plaintiff.” 

    Judge Henry also said the “financial resources” of CNN should be taken into consideration. 

    “You may not award an amount that would financially destroy the defendant,” Judge Henry said.  

    “You may, in your discretion, decline to award punitive damages. When determining the amount, if any, punitive damages to be awarded, you may impose punitive damages to punish the defendant only for the specific conduct you have concluded caused plaintiff hard,” Judge Henry said. “You may not award punitive damages to punish defendant for anything other than the conduct that injured plaintiff.” 

    CNN DEFAMATION TRIAL: EDITOR WHO SAID STORY WAS ‘FULL OF HOLES LIKE SWISS CHEESE’ GRILLED ON WITNESS STAND

    CNN correspondent Alex Marquardt was shown allegedly attempting to call Zachary Young in the segment at the center of the lawsuit.

    apper first teased the 2021 segment at the center of the suit by warning CNN viewers of “desperate Afghans still trying to escape the country being preyed on by folks demanding that they pay up big time to get out.”

    Later in the show, Tapper reminded viewers that the story on “desperate Afghans” being “preyed upon” was up next. 

    Tapper’s teasers ended up being a key part of the trial, as jurors asked to take another look at them during the deliberation process. 

    Once the much-hyped segment began, Tapper said Marquardt found “Afghans trying to get out of the country face a black market full of promises, demands of exorbitant fees, and no guarantee of safety or success.”

    Tapper tossed to Marquardt, who said “desperate Afghans are being exploited” and need to pay “exorbitant, often impossible amounts” to flee the country. 

    Marquardt then singled out Young, putting a picture of his face on the screen and saying his company was asking for $75,000 to transport a vehicle of passengers to Pakistan or $14,500 per person to end up in the United Arab Emirates.

    “Prices well beyond the reach of most Afghans,” Marquardt told viewers.

    CNN then aired Marquardt allegedly attempting to call Young, who did not answer the phone. 

    “In a text message, he told CNN that Afghans trying to leave are expected to have sponsors pay for them,” Marquardt said, adding that Young told the network evacuation costs are “highly volatile and based on environmental realities.”

    Marquardt then said Young “repeatedly declined to break down the cost or say if he’s making money,” before playing a clip of an anonymous sympathetic man who couldn’t afford to have his family evacuated from Afghanistan.

    Marquardt went back to Young, saying he received another text message. 

    “In another message, that person offering those evacuations, Zachary Young, he wrote, ‘Availability is extremely limited, and demand is high’… he goes on to say, ‘That’s how economics works, unfortunately,’” Marquardt told viewers.

    Tapper responded, “Unfortunately, hmm,” before thanking Marquardt for the report. 

    No other people or companies were named other than Young.

    The phone call became a point of contention during the trial, as the plaintiff suggested Marquardt didn’t really place a call to Young and behind-the-scenes footage of the segment showed Marquardt joking it was “theater” to colleagues. But Marquardt testified that he called the number he believed to belong to Young and dismissed the “theater” joke as a reference to “Saturday Night Live.”

    CNN DEFAMATION TRIAL: PLAINTIFF ACCUSES NETWORK OF FAKING CRITICAL PHONE CALL FOR ‘THEATER’

    The segment at the heart of the trial first aired on “The Lead with Jake Tapper.” (CNN/Screenshot)

    CNN host Jake Tapper and correspondent Alex Marquardt during the segment at the center of the defamation lawsuit.  (CNN/Screenshot)

    The segment was shared on social media and also repackaged for CNN’s website. The Marquardt report was re-aired Nov. 13 on Jim Acosta’s CNN show and multiple times on CNN International. 

    Every second of the segment was picked apart during the trial, with CNN’s legal team insisting Young was not a major element of the story and the plaintiff’s team suggesting the “black market” implication essentially ruined Young’s career as a defense contractor, where that language was specifically mentioned as grounds for termination in a contract he signed. 

    Young’s legal team obtained damning CNN internal messages through discovery repeatedly showing staffers expressing overt hostility towards the Navy veteran. Among those presented to the jury include one calling him a “s–tbag” an “a–hole” one saying he has a “punchable face.”

    U.S. Navy veteran Zachary Young warned a CNN reporter that his story was “inaccurate” and he would “seek legal damages” if published, according to text messages shown to jurors. (Screenshot/Fox News Digital)

    Marquardt’s own message telling a colleague “we’re gonna nail this Zachary Young mf—er” was often cited throughout the trial.

    At one point, CNN senior national security editor Thomas Lumley was grilled in court after internal messages showed he was highly skeptical of the “pretty flawed” report. Lumley was called as a witness after internal messages showed he felt the report was “full of holes like Swiss cheese.” 

    CNN DEFAMATION TRIAL: REPORTER PRESSED ON HIS HEAVY PURSUIT OF NAVY VETERAN AS DEFENSE DOWNPLAYED INVOLVEMENT

    U.S. Navy veteran Zachary Young teared up on the witness stand last week.  (Jessica Costescu)

    Young, who became emotional on the witness stand when discussing the segment’s impact on his marriage, also testified that he rescued at least 22 women from Afghanistan, but that information was never reported by CNN. 

    CNN issued an on-air apology on March 25, 2022, when substitute anchor Pamela Brown was sitting in Tapper’s chair. However, several CNN staffers who took the witness stand said he didn’t feel the apology was necessary and Adam Levine testified that the apology was only issued for legal purposes. 

    The trial also included Judge Henry scolding CNN lead counsel David Axelrod, who is not the on-air pundit with the same name, several times and forcing him to apologize to Young on the spot for calling him a “liar” when evidence proved he didn’t lie about failing to earn work in his field on the heels of the CNN segment airing. 

    Axelrod had insisted a document showing Young still had a security clearance was proof he was able to find work after the CNN segment aired, but it ultimately came out that the security clearance was dropped in 2022. 

    This is a developing story, more to come… 

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    In a recent court case, a jury has found CNN guilty of defamation against a Navy veteran. The veteran, who was falsely accused of committing a crime on a CNN news segment, was awarded punitive damages as a result of the defamation.

    The jury determined that CNN acted with malice in their reporting of the false accusations against the veteran, leading to significant harm to his reputation and livelihood. The punitive damages were awarded as a way to deter CNN and other media outlets from engaging in similar defamatory practices in the future.

    This case serves as a reminder of the importance of accurate and ethical journalism, and the consequences that can result from spreading false information. It also highlights the power of the legal system in holding media outlets accountable for their actions.

    As the veteran seeks to rebuild his reputation and move forward from this ordeal, this verdict sends a strong message that defamation will not be tolerated, and those who engage in it will be held responsible.

    Tags:

    1. CNN defamation lawsuit
    2. Navy veteran defamation case
    3. CNN legal battle
    4. Defamation lawsuit update
    5. Punitive damages awarded
    6. Navy veteran wins defamation case
    7. CNN defamation verdict
    8. Legal victory for Navy veteran
    9. CNN defamation lawsuit outcome
    10. Punitive damages in defamation case

    #Jury #finds #CNN #committed #defamation #Navy #veteran #awards #punitive #damages

  • From Neural Networks to CNN: Exploring the World of Deep Learning with PyTorch and TensorFlow

    From Neural Networks to CNN: Exploring the World of Deep Learning with PyTorch and TensorFlow


    Deep learning has revolutionized the field of artificial intelligence, enabling machines to learn from data and perform tasks that were previously thought to be impossible. Two of the most popular deep learning frameworks, PyTorch and TensorFlow, have made it easier than ever for developers to build and deploy neural networks and convolutional neural networks (CNNs) for a wide range of applications.

    Neural networks are a type of machine learning model inspired by the human brain. They consist of layers of interconnected nodes, or neurons, that process input data and generate output predictions. PyTorch and TensorFlow provide powerful tools for building and training neural networks, allowing developers to experiment with different architectures and optimize their models for maximum performance.

    CNNs are a specialized type of neural network that are particularly well suited for image recognition tasks. They use a series of convolutional layers to extract features from input images, followed by pooling layers to reduce the spatial dimensions of the data, and fully connected layers to make predictions based on the extracted features. PyTorch and TensorFlow both offer built-in support for building and training CNNs, making it easy for developers to create state-of-the-art image recognition systems.

    One of the key advantages of using PyTorch and TensorFlow for deep learning is their flexibility and scalability. Both frameworks support distributed training across multiple GPUs and even multiple machines, allowing developers to train large, complex models on massive datasets. They also provide high-level APIs that make it easy to experiment with different neural network architectures and hyperparameters, without getting bogged down in the details of low-level implementation.

    In addition to their powerful training capabilities, PyTorch and TensorFlow also offer tools for deploying and serving deep learning models in production. Both frameworks support exporting trained models to standard formats like ONNX and TensorFlow SavedModel, making it easy to integrate them into web applications, mobile apps, and other production environments. They also provide libraries for optimizing and accelerating inference on a wide range of hardware platforms, from CPUs to GPUs to specialized accelerators like TPUs.

    Overall, PyTorch and TensorFlow have revolutionized the world of deep learning, making it easier than ever for developers to build and deploy neural networks and CNNs for a wide range of applications. Whether you’re a beginner just getting started with deep learning or an experienced researcher pushing the boundaries of the field, these frameworks provide the tools and resources you need to explore the cutting edge of AI technology. So, dive into the world of deep learning with PyTorch and TensorFlow, and unlock the full potential of artificial intelligence.


    #Neural #Networks #CNN #Exploring #World #Deep #Learning #PyTorch #TensorFlow,understanding deep learning: building machine learning systems with pytorch
    and tensorflow: from neural networks (cnn

  • Comedian brutally savages Dems for ‘holding up a body’ in 2024 in chat with Andy Cohen – before awkward dig at CNN

    Comedian brutally savages Dems for ‘holding up a body’ in 2024 in chat with Andy Cohen – before awkward dig at CNN


    Comedian Whitney Cummings savaged the Democrats and CNN to host Anderson Cooper and co-host Andy Cohen‘s faces on their annual New Year’s Eve blowout. 

    Cummings, a standup comic with several specials, TV series, films and a book to her name, was appearing to offer some harsh jokes to ‘roast’ 2024. 

    She started out lashing the Democrats for continuing to stand by Joe Biden until well past his Georgia debate disaster. 

    ‘Democrats couldn’t hold a primary this year. They were too busy holding up a body,’ she said. 

    Cohen looked visibly surprised by the rip at Biden, who didn’t drop out of the race until late July.

    She went further on Democrats’ mandating Kamala Harris as their nominee, noting ‘it was amazing that the pro-choice party didn’t give their voters one.’

    ‘Kamala was forced on us so hard, you would think she was patented by Pfizer… or Moderna, whichever one’s… oh God, Andy just gave me a very scary look,’ to which Cohen protested.

    Cummings had barbs for CNN, which regularly allows Cohen and Cooper to celebrate the end of the year. 

    Comedian Whitney Cummings savaged the Democrats and CNN to host Anderson Cooper and co-host Andy Cohen 's faces on their annual New Year's Eve blowout

    Comedian Whitney Cummings savaged the Democrats and CNN to host Anderson Cooper and co-host Andy Cohen ‘s faces on their annual New Year’s Eve blowout

    She started out lashing the Democrats for continuing to stand by Joe Biden until well past his Georgia debate disaster. 'Democrats couldn't hold a primary this year. They were too busy holding up a body,' she said

    She started out lashing the Democrats for continuing to stand by Joe Biden until well past his Georgia debate disaster. ‘Democrats couldn’t hold a primary this year. They were too busy holding up a body,’ she said

    ‘I’m now playing 3,000-person shows, which is about the viewership of CNN these days,’ she quipped.

    Cooper responded in stride: ‘Nice, nice.’

    He then noted that he and the Watch What Happens Live host had done a tour of similarly sized venues.

    As she took her place on the stage at CNN, she got in a joke about the weather and Cooper’s former co-host for the event. 

    ‘Was that thunder? Are you sure? I thought it was Kathy Griffin screaming at you from the street? Are you sure? I think she’s cursing.’

    ‘Well, no doubt,’ responded the long-time anchor.

    Griffin co-hosted alongside Cooper from 2007 to 2017, before she was fired after a controversial photoshoot with the comic posing and holding a fake severed head of Donald Trump.

    She also made a shocking joke about UnitedHealthcare CEO murderer Luigi Mangione, noting that he’s sharing a prison with disgraced mogul Sean ‘Diddy’ Combs,’ noting the alleged killer ‘already has lower back problems.’

    Cummings had barbs for CNN, which regularly allows Cohen and Cooper to celebrate the end of the year

    Cummings had barbs for CNN, which regularly allows Cohen and Cooper to celebrate the end of the year

    As she took her place on the stage at CNN, she got in a joke about the weather and Cooper's former co-host for the event

    As she took her place on the stage at CNN, she got in a joke about the weather and Cooper’s former co-host for the event 

    Cummings also slammed Arianna Grande for having become ‘white again,’ Disney for taking money from the Crown Prince of Saudi Arabia and people becoming ‘wistful’ about the Menendez brothers. 

    It all came as a storm threatened to washout the celebration in Manhattan’s Times Square.

    New Yorkers braved lightning, thunder and torrential rain alongside one million people packed into Times Square to watch the iconic ball drop.

    Spirits were high in the crowd during and leading up to the midnight fireworks extravaganza, while Cohen and Cooper were forced to duck for cover from the downpour.

    The crowds screamed as the countdown began at 11.59pm, joining in with deafening excitement in spite of the deluge.

    Soaking wet revelers danced with one another and kissed as 2024 drew to a close and 2025 began. One woman held up a sign which read ‘she said yes!’ as she embraced her new fiance.

    Meteorologist Chris Vagasky revealed on Tuesday night that there had been ‘134 lightning events detected within 50 miles of Times Square in 35 minutes.’

    The iconic current New Year’s Eve ball dropped for the final time tonight. It will now be retired to the museum in the newly restored One Times Square and replaced.

    CNN 's Andy Cohen and Anderson Cooper were forced to duck for cover from the downpour

    CNN ‘s Andy Cohen and Anderson Cooper were forced to duck for cover from the downpour

    New Yorkers are ringing in the new year alongside one million people who braved the rain to pack into Times Square and watch the iconic ball drop

    New Yorkers are ringing in the new year alongside one million people who braved the rain to pack into Times Square and watch the iconic ball drop

    In all, 3,000 pounds of confetti rained down on revelers as the clock struck midnight with messages of hope, love, good health and peace for the year ahead. 

    Additional security measures were put in place across the city to reassure tourists and locals that it was safe to attend festivities. 

    Specialized units have been manning rooftops and hotels while bomb-sniffing dogs roam around and helicopter and drone teams monitor from the skies. 

    Designated pick-pocketing teams are also patrolling the area around Times Square, doubly helping with crowd control.

    New York Police Commissioner Jessica Tisch said New Yorkers can rest easy knowing there are no specific threats or concerns relating to this evening’s event, although the department has been operating in a ‘heightened threat environment’ since the beginning of the Israel-Hamas conflict on October 7, 2023.

    As the crowd gathered at Times Square, watchers-on were warned they were not allowed to pack their umbrellas despite the rain.

    AccuWeather meteorologist Alex Duff warned crowds to expect to be drenched if they are out in the elements.

    ‘The rain will be heavy at times, and people standing in Times Square will get soaked during the evening.’ 

    It made for a miserable evening for some, with pictures capturing the moment onlookers abandoned the packed square and tried to hunker down out of the rain. 



    In a recent chat with Andy Cohen, a comedian didn’t hold back when discussing the Democrats’ actions in the lead-up to the 2024 election. The comedian brutally savaged the party for “holding up a body” in their pursuit of power, suggesting that they were willing to go to extreme lengths to win.

    However, the conversation took an unexpected turn when the comedian made an awkward dig at CNN, calling out the network for their biased reporting and lack of journalistic integrity. It seems that no one was safe from the comedian’s sharp wit, as they continued to call out hypocrisy and double standards across the political spectrum.

    The comedian’s bold and unapologetic commentary is sure to ruffle some feathers, but it’s clear that they are not afraid to speak their mind and challenge the status quo. With the 2024 election on the horizon, it will be interesting to see how the comedian’s insights and criticisms shape the political landscape in the coming years.

    Tags:

    1. Comedian
    2. Dems
    3. 2024
    4. Andy Cohen
    5. CNN
    6. Political comedy
    7. Satire
    8. Political humor
    9. Democratic Party
    10. Comedy roast

    #Comedian #brutally #savages #Dems #holding #body #chat #Andy #Cohen #awkward #dig #CNN

  • Scott Jennings clashes with CNN host over criticism of Musk’s foreign dealings

    Scott Jennings clashes with CNN host over criticism of Musk’s foreign dealings


    CNN commentator Scott Jennings called out anchor Abby Phillip on Monday for criticizing billionaire Elon Musk’s foreign business dealings while not seeming as concerned about the Biden family’s foreign ventures.

    Jennings and Phillips sparred over the topic during Monday’s episode of “CNN NewsNight”, with Jennings rejecting the anchor’s idea that Musk’s foreign dealings should be concerning to Americans and saying he’s much more concerned about the Bidens and the Chinese.

    “I have no concerns about Elon Musk. I have been looking at pictures of Joe Biden and Hunter Biden meeting with Chinese political leaders lately that we were told didn’t exist,” Jennings told Phillip.

    Hunter Biden Was Paid $100K Through Joint Venture With Chinese Energy Firm, Ex-associate Testified

    The CNN commentator was referencing newly uncovered photos of then-Vice President Biden introducing his son Hunter Biden to Chinese President Xi Jinping and then-Vice President Li Yuanchao. Other photos show Joe Biden posing with Hunter’s business associates from BHR Partners, including Jonathan Li and Ming Xue.

    The photos have added more fuel to allegations that the younger Biden was selling access to his powerful father to his foreign business partners.

    Read On The Fox News App

    The president has maintained that he has “never spoken to my son about his overseas business dealings.”

    The anchor prompted Jennings’ response by sharing headlines from various outlets reporting on Musk doing business with the Chinese government to get his Tesla vehicles built and sold abroad.

    Other headlines she shared for the discussion mentioned Musk praising the Chinese Communist Party during its 2021 anniversary as well as his “secret conversations with Vladimir Putin,” as reported by the Wall Street Journal earlier this year.

    The commentator continued, noting that Musk’s business ventures produce products of real value. In contrast, he said the Biden family business dealings do not.

    Hunter Biden Under Federal Investigation For ‘Tax Affairs;’ Links To China Funds Emerge, Sources Say

    Joe Hunter ChinaJoe Hunter China

    VP Joe Biden, Hunter Biden, China President Xi Jinping, former US China Ambassador Max Baucus

    “For all the people who are really upset about Elon Musk having a very successful international business that actually produces things – actually produces vehicles, or rockets, or whatever they’re doing – the Bidens produce nothing and yet, were also doing business in China,” he said.

    Phillip fired back at Jennings, saying, “Look, I don’t want you to change the subject because it’s not really about whether he’s a successful business person or not, it’s about whether his material interests as a business owner are in conflict with the United States’ national security interests.”

    Again, Jennings rejected the premise of Musk being a threat to the U.S., noting that his business interests benefit the country.

    “My view is his prospects and interests as a business owner and most of the things he’s into – electric cars, rockets, the internet that we’re using all over the world – it’s good for the United States to be the warehouse for that,” he declared, adding, “It’s good for our national security to have this kind of technology.”

    Elon MuskElon Musk

    Elon Musk listens as U.S. President-elect Donald Trump addresses a House Republicans Conference meeting at the Hyatt Regency on Capitol Hill on November 13, 2024 in Washington, DC.

    “The idea that there is somehow a conflict in the United States having this kind of a businessman, and that’s somehow bad for us, I just totally reject.”

    Original article source: Scott Jennings clashes with CNN host over criticism of Musk’s foreign dealings



    Recently, Scott Jennings, a political commentator, found himself in a heated debate with a CNN host over his criticism of Elon Musk’s foreign dealings. The clash occurred during a segment on the network where Jennings voiced his concerns about Musk’s business decisions overseas.

    Jennings argued that Musk’s ventures in countries like China and Russia could potentially compromise national security and put American interests at risk. He raised questions about the transparency of Musk’s deals with foreign governments and the potential implications for U.S. technology and intellectual property.

    The CNN host, however, pushed back against Jennings’ criticisms, pointing out the benefits of Musk’s international collaborations and the positive impact they could have on global innovation and economic growth. She emphasized that Musk’s businesses have been instrumental in advancing technology and pushing the boundaries of space exploration.

    The debate quickly escalated as both parties defended their positions, with Jennings reiterating his concerns about the potential risks of Musk’s foreign dealings and the host highlighting the importance of international cooperation in the modern world.

    The clash between Scott Jennings and the CNN host serves as a reminder of the complexities and controversies surrounding Elon Musk’s business ventures and the broader issues of international relations in the age of globalization. It also underscores the importance of critical discourse and debate in examining the ethical implications of corporate actions on a global scale.

    Tags:

    1. Scott Jennings
    2. CNN host
    3. Elon Musk
    4. Foreign dealings
    5. Criticism
    6. News debate
    7. Business controversies
    8. Political discussions
    9. Media clash
    10. International relations

    #Scott #Jennings #clashes #CNN #host #criticism #Musks #foreign #dealings

  • Scott Jennings clashes with CNN host over criticism of Musk’s foreign dealings

    Scott Jennings clashes with CNN host over criticism of Musk’s foreign dealings


    CNN commentator Scott Jennings called out anchor Abby Phillip on Monday for criticizing billionaire Elon Musk’s foreign business dealings while not seeming as concerned about the Biden family’s foreign ventures.

    Jennings and Phillips sparred over the topic during Monday’s episode of “CNN NewsNight”, with Jennings rejecting the anchor’s idea that Musk’s foreign dealings should be concerning to Americans and saying he’s much more concerned about the Bidens and the Chinese.

    “I have no concerns about Elon Musk. I have been looking at pictures of Joe Biden and Hunter Biden meeting with Chinese political leaders lately that we were told didn’t exist,” Jennings told Phillip.

    HUNTER BIDEN WAS PAID $100K THROUGH JOINT VENTURE WITH CHINESE ENERGY FIRM, EX-ASSOCIATE TESTIFIED

    CNN commentator Scott Jennings and network anchor Abby Phillip sparred over criticism of Elon Musks foreign business dealings.

    The CNN commentator was referencing newly uncovered photos of then-Vice President Biden introducing his son Hunter Biden to Chinese President Xi Jinping and then-Vice President Li Yuanchao. Other photos show Joe Biden posing with Hunter’s business associates from BHR Partners, including Jonathan Li and Ming Xue.

    The photos have added more fuel to allegations that the younger Biden was selling access to his powerful father to his foreign business partners.

    The president has maintained that he has “never spoken to my son about his overseas business dealings.”

    The anchor prompted Jennings’ response by sharing headlines from various outlets reporting on Musk doing business with the Chinese government to get his Tesla vehicles built and sold abroad. 

    Other headlines she shared for the discussion mentioned Musk praising the Chinese Communist Party during its 2021 anniversary as well as his “secret conversations with Vladimir Putin,” as reported by the Wall Street Journal earlier this year.

    The commentator continued, noting that Musk’s business ventures produce products of real value. In contrast, he said the Biden family business dealings do not.

    HUNTER BIDEN UNDER FEDERAL INVESTIGATION FOR ‘TAX AFFAIRS;’ LINKS TO CHINA FUNDS EMERGE, SOURCES SAY

    VP Joe Biden, Hunter Biden, China President Xi Jinping, former US China Ambassador Max Baucus (America First Legal)

    “For all the people who are really upset about Elon Musk having a very successful international business that actually produces things – actually produces vehicles, or rockets, or whatever they’re doing – the Bidens produce nothing and yet, were also doing business in China,” he said.

    Phillip fired back at Jennings, saying, “Look, I don’t want you to change the subject because it’s not really about whether he’s a successful business person or not, it’s about whether his material interests as a business owner are in conflict with the United States’ national security interests.”

    Again, Jennings rejected the premise of Musk being a threat to the U.S., noting that his business interests benefit the country.

    “My view is his prospects and interests as a business owner and most of the things he’s into – electric cars, rockets, the internet that we’re using all over the world – it’s good for the United States to be the warehouse for that,” he declared, adding, “It’s good for our national security to have this kind of technology.”

    Elon Musk listens as U.S. President-elect Donald Trump addresses a House Republicans Conference meeting at the Hyatt Regency on Capitol Hill on November 13, 2024 in Washington, DC. (Andrew Harnik/Getty Images)

    “The idea that there is somehow a conflict in the United States having this kind of a businessman, and that’s somehow bad for us, I just totally reject.”

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    Scott Jennings clashed with CNN host over criticism of Elon Musk’s foreign dealings

    In a heated exchange on CNN’s “State of the Union,” political commentator Scott Jennings defended Elon Musk’s business practices abroad, while the host pushed back on allegations of exploitation and unethical behavior.

    Jennings staunchly defended Musk, arguing that the Tesla CEO’s investments in foreign countries have created thousands of jobs and boosted local economies. He also emphasized the importance of Musk’s contributions to innovation and technology.

    However, the host challenged Jennings on Musk’s controversial labor practices in some countries, as well as his alleged disregard for environmental regulations. The debate quickly escalated as both parties traded barbs and accusations.

    The clash highlighted the ongoing debate over the ethics of multinational corporations operating in foreign countries, and the responsibilities they have towards local communities and the environment.

    As Musk’s global influence continues to grow, it is clear that the debate over his business practices will only intensify in the coming years.

    Tags:

    1. Scott Jennings
    2. CNN host
    3. Elon Musk
    4. Foreign dealings
    5. Criticism
    6. Interview
    7. Debate
    8. Business news
    9. Media clash
    10. Political commentary

    #Scott #Jennings #clashes #CNN #host #criticism #Musks #foreign #dealings

  • Aaron Brown, former CNN anchor and influential newsman, dies at 76

    Aaron Brown, former CNN anchor and influential newsman, dies at 76




    CNN
     — 

    Aaron Brown, the renowned CNN anchor who gained prominence for his coverage of the September 11 attacks and his role in shaping the network’s evening news format, died Sunday at the age of 76, his family said.

    Brown’s career in journalism began in local television in Seattle before anchoring ABC’s overnight news program “World News Now.” He later joined CNN, where he became known for his incisive reporting. From 2001 to 2005, he anchored “NewsNight,” a program that combined breaking news with in-depth analysis, and earned acclaim for his ability to handle complex stories with sensitivity and insight.

    CNN’s Anderson Cooper called Brown “a great writer and broadcaster.”

    “Thoughtful, funny, and diligent, he had a truly unique talent and a beautiful way with words,” Cooper said.

    “In the pre-talk era of broadcast journalism, Aaron was first and foremost a writer and a craftsman. That was one of his many skills that earned the respect of his colleagues across the media landscape,” said former CNN producer Jon Auerbach, who worked with Brown.

    “He had a biting sense of humor, and in the days before people spoke of a work-life balance, Aaron knew its value. Anchoring a program at 10 p.m. can be brutal, but Aaron was able to make time for what was important to him outside the studio, whether it be his wife and daughter or a round of golf,” Auerbach said.

    David Fitzpatrick, a producer who worked closely with Brown at CNN, said he “always wanted the very best of people.”

    “It was remarkable when we received a compliment from him,” Fitzpatrick said. “He was a signature anchor during his prime time. His legacy will mean concise writing, concise presentation, and a calm demeanor in the face of crisis. Impactful, insightful, and measured.”

    Throughout his tenure, Brown was recognized for his commitment to journalistic integrity and his ability to connect with viewers during critical moments in history.

    Amanda Turnbull, a former CNN producer, lauded Brown’s strong grasp of news, saying, “His storytelling was driven by the facts, but his delivery was always deeply human.”

    Turnbull recalled how he instilled a culture of empathy in reporting, often reminding his team to be “prepared to fail if we wanted to be great.”

    Following his departure from CNN, he served as the Rhodes Chair in Public Policy and American Institutions at Arizona State University’s Walter Cronkite School of Journalism and Mass Communication, where his influence on broadcast journalism continued to resonate.

    This is a developing story and will be updated.



    Aaron Brown, former CNN anchor and influential newsman, dies at 76

    It is with heavy hearts that we announce the passing of Aaron Brown, a beloved journalist and former CNN anchor. Brown, who was known for his calm and authoritative presence on television, passed away at the age of 76.

    During his career, Brown covered some of the most significant events in recent history, from the September 11th terrorist attacks to the war in Iraq. He was known for his thoughtful analysis and unwavering commitment to delivering the news with integrity and accuracy.

    Brown’s impact on the world of journalism was immeasurable, and his loss will be deeply felt by his colleagues, friends, and viewers. Our thoughts are with his family during this difficult time.

    Rest in peace, Aaron Brown. You will be dearly missed.

    Tags:

    Aaron Brown, CNN anchor, Aaron Brown newsman, Aaron Brown dies, Aaron Brown CNN, influential newsman Aaron Brown, Aaron Brown death, Aaron Brown obituary

    #Aaron #Brown #CNN #anchor #influential #newsman #dies

  • Building Cutting-Edge Machine Learning Systems: Harnessing the Potential of PyTorch and TensorFlow for CNN Development

    Building Cutting-Edge Machine Learning Systems: Harnessing the Potential of PyTorch and TensorFlow for CNN Development


    Machine learning has revolutionized the way we approach data analysis and decision-making processes. From self-driving cars to personalized recommendation systems, machine learning algorithms are becoming increasingly prevalent in various industries. One of the key components of building cutting-edge machine learning systems is utilizing powerful and efficient frameworks like PyTorch and TensorFlow for developing Convolutional Neural Networks (CNNs).

    CNNs are a type of deep learning model that is particularly well-suited for image recognition and classification tasks. They are composed of multiple layers of neurons that are designed to extract features from images and learn patterns that can be used to make predictions. PyTorch and TensorFlow are two of the most popular deep learning frameworks that provide comprehensive tools and libraries for building and training CNNs.

    PyTorch, developed by Facebook’s AI Research lab, has gained popularity for its ease of use and flexibility. It provides dynamic computational graphs, which allow for more intuitive model building and debugging. PyTorch also offers a rich set of libraries for building neural networks, including modules for building CNNs, such as convolutional layers, pooling layers, and activation functions.

    On the other hand, TensorFlow, developed by Google, is known for its scalability and performance. It provides a static computational graph that is optimized for efficiency, making it ideal for training large-scale CNN models. TensorFlow also offers a wide range of pre-built models and tools for building and deploying CNNs, such as the TensorFlow Model Garden and TensorFlow Lite for mobile applications.

    When developing CNNs using PyTorch and TensorFlow, there are several best practices to keep in mind. Firstly, it is important to preprocess and augment the training data to improve the model’s performance and generalization ability. This can include techniques such as data normalization, data augmentation, and data balancing.

    Additionally, hyperparameter tuning is crucial for optimizing the performance of CNN models. This involves adjusting parameters such as learning rate, batch size, and network architecture to find the best combination for the specific task at hand. Techniques like grid search and random search can be used to efficiently search through the hyperparameter space and find the optimal configuration.

    Furthermore, it is important to monitor the model’s performance during training and validation to ensure that it is learning effectively. Tools like TensorBoard, which is integrated with TensorFlow, can be used to visualize metrics such as loss and accuracy over time, making it easier to identify potential issues and make improvements.

    In conclusion, building cutting-edge machine learning systems requires harnessing the potential of powerful frameworks like PyTorch and TensorFlow for developing CNNs. By following best practices and utilizing the rich set of tools and libraries provided by these frameworks, developers can build high-performance CNN models that can tackle a wide range of image recognition and classification tasks. With the rapid advancement of deep learning technology, the possibilities for leveraging CNNs in various applications are endless.


    #Building #CuttingEdge #Machine #Learning #Systems #Harnessing #Potential #PyTorch #TensorFlow #CNN #Development,understanding deep learning: building machine learning systems with pytorch
    and tensorflow: from neural networks (cnn

  • Unlocking the Power of Deep Learning: A Step-by-Step Guide to Implementing CNN with PyTorch and TensorFlow

    Unlocking the Power of Deep Learning: A Step-by-Step Guide to Implementing CNN with PyTorch and TensorFlow


    Deep learning has revolutionized the field of artificial intelligence, allowing machines to learn from data and make decisions on their own. One of the most powerful deep learning techniques is Convolutional Neural Networks (CNNs), which are particularly well-suited for image recognition tasks. In this article, we will guide you through the process of implementing CNNs with two popular deep learning frameworks, PyTorch and TensorFlow.

    Step 1: Understanding Convolutional Neural Networks

    Before we dive into the implementation details, let’s first understand what CNNs are and how they work. CNNs are a type of neural network that is specifically designed to handle image data. They consist of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers apply filters to the input image, extracting features such as edges, textures, and shapes. The pooling layers downsample the feature maps, reducing the computational complexity of the network. Finally, the fully connected layers combine the extracted features to make predictions.

    Step 2: Setting up the Environment

    To implement CNNs with PyTorch and TensorFlow, you first need to set up your development environment. Install the necessary libraries and frameworks, such as PyTorch, TensorFlow, and their respective dependencies. You can easily install these packages using pip or conda.

    Step 3: Preparing the Data

    The next step is to prepare your data for training the CNN. This involves loading the dataset, preprocessing the images, and splitting the data into training and testing sets. You can use popular datasets such as MNIST, CIFAR-10, or ImageNet for experimentation.

    Step 4: Building the CNN Model

    Now it’s time to build the CNN model using PyTorch or TensorFlow. Define the architecture of the network, including the number of layers, the size of the filters, and the activation functions. You can start with a simple architecture and gradually increase the complexity as needed.

    Step 5: Training the Model

    Once the model is built, train it on the training data using an optimization algorithm such as stochastic gradient descent or Adam. Monitor the training process by keeping track of the loss and accuracy metrics. You can also visualize the training progress using tools such as TensorBoard or matplotlib.

    Step 6: Evaluating the Model

    After training the model, evaluate its performance on the testing data. Calculate metrics such as accuracy, precision, recall, and F1 score to assess the model’s performance. You can also visualize the predictions using confusion matrices or ROC curves.

    Step 7: Fine-tuning the Model

    To improve the performance of the model, you can fine-tune its hyperparameters, such as the learning rate, batch size, and dropout rate. Experiment with different architectures, optimization algorithms, and regularization techniques to find the optimal configuration.

    In conclusion, implementing CNNs with PyTorch and TensorFlow can unlock the power of deep learning for image recognition tasks. By following this step-by-step guide, you can build and train CNN models efficiently and effectively. Experiment with different datasets and architectures to gain hands-on experience with deep learning techniques. Happy coding!


    #Unlocking #Power #Deep #Learning #StepbyStep #Guide #Implementing #CNN #PyTorch #TensorFlow,understanding deep learning: building machine learning systems with pytorch
    and tensorflow: from neural networks (cnn

  • From CNN to GNN: The Evolution of Global News Broadcasting

    From CNN to GNN: The Evolution of Global News Broadcasting


    The landscape of global news broadcasting has undergone a significant evolution over the years, with the emergence of new players and technologies changing the way we consume news. One of the most prominent shifts in recent years has been the transition from traditional news outlets like CNN to new digital platforms like GNN (Global News Network).

    CNN, founded in 1980, was one of the first 24-hour news networks to provide around-the-clock coverage of breaking news events. The network quickly became a household name, known for its live coverage of major world events and in-depth analysis of important issues. CNN’s global reach and reputation for quality journalism made it a dominant force in the news industry for decades.

    However, with the rise of digital media and social networking platforms, the way people consume news has changed dramatically. Today, more and more people are turning to online sources for their news, with social media platforms like Twitter and Facebook becoming popular sources for breaking news updates.

    In response to this shift, new digital news platforms like GNN have emerged to provide a fresh take on global news coverage. GNN, founded in 2015, is a digital news network that aims to deliver news and information from around the world in a fast, accessible format. With a focus on mobile-friendly content and engaging visuals, GNN has quickly gained a following among younger audiences who prefer to get their news online.

    One of the key features of GNN is its emphasis on user-generated content and citizen journalism. By encouraging viewers to submit their own photos, videos, and stories, GNN is able to provide a more diverse and inclusive perspective on global events. This approach has helped GNN differentiate itself from traditional news outlets like CNN, which often rely on professional journalists and correspondents for their reporting.

    Another aspect of GNN’s success is its use of social media and digital marketing strategies to reach a wider audience. By leveraging platforms like Instagram, YouTube, and TikTok, GNN is able to engage with viewers in a more interactive and dynamic way. This has helped the network attract a younger demographic that is increasingly turning away from traditional news sources.

    Overall, the evolution of global news broadcasting from CNN to GNN represents a broader shift in the media landscape towards digital-first, user-centric content. As technology continues to advance and consumer preferences evolve, it will be interesting to see how news organizations adapt to these changes and continue to provide valuable, trustworthy information to audiences around the world.


    #CNN #GNN #Evolution #Global #News #Broadcasting,gnn

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