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mr mike slots By HALELUYA HADERO The emergence of generative artificial intelligence tools that allow people to efficiently produce novel and detailed online reviews with almost no work has put merchants , service providers and consumers in uncharted territory, watchdog groups and researchers say. Phony reviews have long plagued many popular consumer websites, such as Amazon and Yelp. They are typically traded on private social media groups between fake review brokers and businesses willing to pay. Sometimes, such reviews are initiated by businesses that offer customers incentives such as gift cards for positive feedback. But AI-infused text generation tools, popularized by OpenAI’s ChatGPT , enable fraudsters to produce reviews faster and in greater volume, according to tech industry experts. The deceptive practice, which is illegal in the U.S. , is carried out year-round but becomes a bigger problem for consumers during the holiday shopping season , when many people rely on reviews to help them purchase gifts. Fake reviews are found across a wide range of industries, from e-commerce, lodging and restaurants, to services such as home repairs, medical care and piano lessons. The Transparency Company, a tech company and watchdog group that uses software to detect fake reviews, said it started to see AI-generated reviews show up in large numbers in mid-2023 and they have multiplied ever since. For a report released this month, The Transparency Company analyzed 73 million reviews in three sectors: home, legal and medical services. Nearly 14% of the reviews were likely fake, and the company expressed a “high degree of confidence” that 2.3 million reviews were partly or entirely AI-generated. “It’s just a really, really good tool for these review scammers,” said Maury Blackman, an investor and advisor to tech startups, who reviewed The Transparency Company’s work and is set to lead the organization starting Jan. 1. In August, software company DoubleVerify said it was observing a “significant increase” in mobile phone and smart TV apps with reviews crafted by generative AI. The reviews often were used to deceive customers into installing apps that could hijack devices or run ads constantly, the company said. The following month, the Federal Trade Commission sued the company behind an AI writing tool and content generator called Rytr, accusing it of offering a service that could pollute the marketplace with fraudulent reviews. The FTC, which this year banned the sale or purchase of fake reviews, said some of Rytr’s subscribers used the tool to produce hundreds and perhaps thousands of reviews for garage door repair companies, sellers of “replica” designer handbags and other businesses. Max Spero, CEO of AI detection company Pangram Labs, said the software his company uses has detected with almost certainty that some AI-generated appraisals posted on Amazon bubbled up to the top of review search results because they were so detailed and appeared to be well thought-out. But determining what is fake or not can be challenging. External parties can fall short because they don’t have “access to data signals that indicate patterns of abuse,” Amazon has said. Pangram Labs has done detection for some prominent online sites, which Spero declined to name due to non-disclosure agreements. He said he evaluated Amazon and Yelp independently. Many of the AI-generated comments on Yelp appeared to be posted by individuals who were trying to publish enough reviews to earn an “Elite” badge, which is intended to let users know they should trust the content, Spero said. The badge provides access to exclusive events with local business owners. Fraudsters also want it so their Yelp profiles can look more realistic, said Kay Dean, a former federal criminal investigator who runs a watchdog group called Fake Review Watch. To be sure, just because a review is AI-generated doesn’t necessarily mean its fake. Some consumers might experiment with AI tools to generate content that reflects their genuine sentiments. Some non-native English speakers say they turn to AI to make sure they use accurate language in the reviews they write. “It can help with reviews (and) make it more informative if it comes out of good intentions,” said Michigan State University marketing professor Sherry He, who has researched fake reviews. She says tech platforms should focus on the behavioral patters of bad actors, which prominent platforms already do, instead of discouraging legitimate users from turning to AI tools. Prominent companies are developing policies for how AI-generated content fits into their systems for removing phony or abusive reviews. Some already employ algorithms and investigative teams to detect and take down fake reviews but are giving users some flexibility to use AI. Spokespeople for Amazon and Trustpilot, for example, said they would allow customers to post AI-assisted reviews as long as they reflect their genuine experience. Yelp has taken a more cautious approach, saying its guidelines require reviewers to write their own copy. “With the recent rise in consumer adoption of AI tools, Yelp has significantly invested in methods to better detect and mitigate such content on our platform,” the company said in a statement. The Coalition for Trusted Reviews, which Amazon, Trustpilot, employment review site Glassdoor, and travel sites Tripadvisor, Expedia and Booking.com launched last year, said that even though deceivers may put AI to illicit use, the technology also presents “an opportunity to push back against those who seek to use reviews to mislead others.” “By sharing best practice and raising standards, including developing advanced AI detection systems, we can protect consumers and maintain the integrity of online reviews,” the group said. The FTC’s rule banning fake reviews, which took effect in October, allows the agency to fine businesses and individuals who engage in the practice. Tech companies hosting such reviews are shielded from the penalty because they are not legally liable under U.S. law for the content that outsiders post on their platforms. Tech companies, including Amazon, Yelp and Google, have sued fake review brokers they accuse of peddling counterfeit reviews on their sites. The companies say their technology has blocked or removed a huge swath of suspect reviews and suspicious accounts. However, some experts say they could be doing more. “Their efforts thus far are not nearly enough,” said Dean of Fake Review Watch. “If these tech companies are so committed to eliminating review fraud on their platforms, why is it that I, one individual who works with no automation, can find hundreds or even thousands of fake reviews on any given day?” Consumers can try to spot fake reviews by watching out for a few possible warning signs , according to researchers. Overly enthusiastic or negative reviews are red flags. Jargon that repeats a product’s full name or model number is another potential giveaway. When it comes to AI, research conducted by Balázs Kovács, a Yale professor of organization behavior, has shown that people can’t tell the difference between AI-generated and human-written reviews. Some AI detectors may also be fooled by shorter texts, which are common in online reviews, the study said. However, there are some “AI tells” that online shoppers and service seekers should keep it mind. Panagram Labs says reviews written with AI are typically longer, highly structured and include “empty descriptors,” such as generic phrases and attributes. The writing also tends to include cliches like “the first thing that struck me” and “game-changer.”Avenix Fzco Pushes Forex Trading Boundaries With New Pivlex Forex Robot

Brooklyn residents will now have access to state-of-the-art prenatal imaging and testing, gynecologic imaging and breast imaging at the NewYork-Presbyterian Brooklyn Methodist Hospital in Park Slope. The hospital system on Monday opened its Obstetrics and Gynecology Practice and Imaging Center at the Center for Community Health at Methodist Hospital, according to a press release. The practice offers state-of-the-art imaging technology, 21 exam rooms and expanded same-day access for patients. Dr. Denise Howard, chief of obstetrics and gynecology at the hospital, said the expansion will address gaps in health care provision through its various programs. “The opening of this unit represents an opportunity for us to provide the full scope of OB/GYN services to the people of Brooklyn, to improve access to care and to address health disparities through our specific programs and our innovative approach to care delivery," she said. look forward to making a difference in the lives of people in the Brooklyn community".None

Middle East latest: Israel and Hezbollah trade fire, threatening Lebanon ceasefireRussian dictator Vladimir Putin does not miss an opportunity to show off his hypersonic medium-range ballistic missile "Oreshnik." He emphasized that no one has a chance to shoot down this weapon. Putin said this during a "Direct Line" with Russians on Thursday, December 19. Instead, the Russian president "honestly" does not know why the missile has this name. "Oreshnik is a medium-range weapon, and medium-range weapons are 1000, 1500, 3000, and up to 5,500 kilometers in range. Now let's imagine that our system is located at a distance of 2,000 kilometers, and even an anti-missile located in Poland will not reach it . At the first site, the vulnerability is high. First of all, nothing will reach there, even if these positioning areas are not protected (but they are usually protected), nothing reaches, there are no such systems. And secondly, it takes time to fly that far, and we start deploying combat units in a few seconds. So there is no chance to shoot down these missiles," the war criminal boasted. Putin also spoke about Western experts who are discussing the "Oreshnik," saying that they should propose that Russia and the West conduct a "technological experiment ." To do this, the dictator said, they could identify a target in Kyiv, where the West could deploy all its air defense forces, and Russia could strike. He cynically emphasized that it would be a "high-tech duel ." As a reminder, Kremlin dictator Vladimir Putin has called Russia's full-scale invasion of Ukraine a "movement ." He claims that "movement" begins when it gets "boring ." At the same time, the Kremlin leader avoided an uncomfortable question about the Kursk region, where the Ukrainian Armed Forces continue their operation. As OBOZ.UA reported , Putin made another statement about the "Oreshnik" medium-range missile system and embarrassed himself. In particular, he threatened the world with the "imminent start" of mass production of this complex. Only verified information on our Telegram channel OBOZ.UA and Viber . Do not fall for fakes!

Jaland Lowe flirted with a triple-double as Pitt improved to 6-0 with a 74-63 win over LSU on Friday afternoon at the Greenbrier Tip-Off in White Sulphur Springs, W.Va. Lowe finished with a game-high 22 points to go along with eight rebounds and six assists for the Panthers, who have won their first six games of a season for the first time since the 2018-19 campaign. It would have been the second straight triple-double for Lowe, who had 11 points, 10 rebounds and 10 assists against VMI Monday. Ishmael Leggett chipped in 21 points and Cameron Corhen supplied 14, helping Pitt outshoot the Tigers (4-1) 44.4 percent to 37.3 percent overall. Vyctorius Miller and Jalen Reed recorded 14 points apiece for LSU, with Reed also snatching seven boards. Cam Carter contributed 11 points. Pitt took control in the first four-plus minutes of the second half, opening the period on a 13-0 run to build a 40-28 lead. The Tigers were held scoreless following the break until Carter converted a layup with 13:13 to go. It was still a 12-point game after Zack Austin hit a pair of free throws with 12:50 remaining, but LSU then rallied. Corey Chest, Reed and Jordan Sears each had a bucket down low for the Tigers during an 8-1 spurt that made it 43-38. However, Lowe stemmed the tide, answering with back-to-back 3-pointers to put the Panthers up 49-38 with 9:31 left. Miller did everything he could to keep LSU in contention, scoring eight points in a span of 1 minute, 23 seconds, with his four-point play getting the Tigers within 56-52 with 6:03 to play. But Pitt never let LSU get the upper hand, and it led by at least six for the final 5:05 of the contest. The Tigers had a 28-27 edge at intermission after ending the first half on an 8-2 run. LSU overcame a quick start by the Panthers, who raced out to a 12-6 advantage and led by as many as eight in the first 20 minutes of action. --Field Level MediaBy HALELUYA HADERO The emergence of generative artificial intelligence tools that allow people to efficiently produce novel and detailed online reviews with almost no work has put merchants , service providers and consumers in uncharted territory, watchdog groups and researchers say. Related Articles National News | Bill Clinton is hospitalized with a fever but in good spirits, spokesperson says National News | 2 US Navy pilots shot down over Red Sea in apparent ‘friendly fire’ incident, US military says National News | Luigi Mangione pleads not guilty to state murder and other charges in United Healthcare CEO’s death National News | Biden gives life in prison to 37 of 40 federal death row inmates before Trump can resume executions National News | Lack of doggie day care rules leaves many pet owners in the dark Phony reviews have long plagued many popular consumer websites, such as Amazon and Yelp. They are typically traded on private social media groups between fake review brokers and businesses willing to pay. Sometimes, such reviews are initiated by businesses that offer customers incentives such as gift cards for positive feedback. But AI-infused text generation tools, popularized by OpenAI’s ChatGPT , enable fraudsters to produce reviews faster and in greater volume, according to tech industry experts. The deceptive practice, which is illegal in the U.S. , is carried out year-round but becomes a bigger problem for consumers during the holiday shopping season , when many people rely on reviews to help them purchase gifts. Where are AI-generated reviews showing up? Fake reviews are found across a wide range of industries, from e-commerce, lodging and restaurants, to services such as home repairs, medical care and piano lessons. The Transparency Company, a tech company and watchdog group that uses software to detect fake reviews, said it started to see AI-generated reviews show up in large numbers in mid-2023 and they have multiplied ever since. For a report released this month, The Transparency Company analyzed 73 million reviews in three sectors: home, legal and medical services. Nearly 14% of the reviews were likely fake, and the company expressed a “high degree of confidence” that 2.3 million reviews were partly or entirely AI-generated. “It’s just a really, really good tool for these review scammers,” said Maury Blackman, an investor and advisor to tech startups, who reviewed The Transparency Company’s work and is set to lead the organization starting Jan. 1. In August, software company DoubleVerify said it was observing a “significant increase” in mobile phone and smart TV apps with reviews crafted by generative AI. The reviews often were used to deceive customers into installing apps that could hijack devices or run ads constantly, the company said. The following month, the Federal Trade Commission sued the company behind an AI writing tool and content generator called Rytr, accusing it of offering a service that could pollute the marketplace with fraudulent reviews. The FTC, which this year banned the sale or purchase of fake reviews, said some of Rytr’s subscribers used the tool to produce hundreds and perhaps thousands of reviews for garage door repair companies, sellers of “replica” designer handbags and other businesses. It’s likely on prominent online sites, too Max Spero, CEO of AI detection company Pangram Labs, said the software his company uses has detected with almost certainty that some AI-generated appraisals posted on Amazon bubbled up to the top of review search results because they were so detailed and appeared to be well thought-out. But determining what is fake or not can be challenging. External parties can fall short because they don’t have “access to data signals that indicate patterns of abuse,” Amazon has said. Pangram Labs has done detection for some prominent online sites, which Spero declined to name due to non-disclosure agreements. He said he evaluated Amazon and Yelp independently. Many of the AI-generated comments on Yelp appeared to be posted by individuals who were trying to publish enough reviews to earn an “Elite” badge, which is intended to let users know they should trust the content, Spero said. The badge provides access to exclusive events with local business owners. Fraudsters also want it so their Yelp profiles can look more realistic, said Kay Dean, a former federal criminal investigator who runs a watchdog group called Fake Review Watch. To be sure, just because a review is AI-generated doesn’t necessarily mean its fake. Some consumers might experiment with AI tools to generate content that reflects their genuine sentiments. Some non-native English speakers say they turn to AI to make sure they use accurate language in the reviews they write. “It can help with reviews (and) make it more informative if it comes out of good intentions,” said Michigan State University marketing professor Sherry He, who has researched fake reviews. She says tech platforms should focus on the behavioral patters of bad actors, which prominent platforms already do, instead of discouraging legitimate users from turning to AI tools. What companies are doing Prominent companies are developing policies for how AI-generated content fits into their systems for removing phony or abusive reviews. Some already employ algorithms and investigative teams to detect and take down fake reviews but are giving users some flexibility to use AI. Spokespeople for Amazon and Trustpilot, for example, said they would allow customers to post AI-assisted reviews as long as they reflect their genuine experience. Yelp has taken a more cautious approach, saying its guidelines require reviewers to write their own copy. “With the recent rise in consumer adoption of AI tools, Yelp has significantly invested in methods to better detect and mitigate such content on our platform,” the company said in a statement. The Coalition for Trusted Reviews, which Amazon, Trustpilot, employment review site Glassdoor, and travel sites Tripadvisor, Expedia and Booking.com launched last year, said that even though deceivers may put AI to illicit use, the technology also presents “an opportunity to push back against those who seek to use reviews to mislead others.” “By sharing best practice and raising standards, including developing advanced AI detection systems, we can protect consumers and maintain the integrity of online reviews,” the group said. The FTC’s rule banning fake reviews, which took effect in October, allows the agency to fine businesses and individuals who engage in the practice. Tech companies hosting such reviews are shielded from the penalty because they are not legally liable under U.S. law for the content that outsiders post on their platforms. Tech companies, including Amazon, Yelp and Google, have sued fake review brokers they accuse of peddling counterfeit reviews on their sites. The companies say their technology has blocked or removed a huge swath of suspect reviews and suspicious accounts. However, some experts say they could be doing more. “Their efforts thus far are not nearly enough,” said Dean of Fake Review Watch. “If these tech companies are so committed to eliminating review fraud on their platforms, why is it that I, one individual who works with no automation, can find hundreds or even thousands of fake reviews on any given day?” Spotting fake AI-generated reviews Consumers can try to spot fake reviews by watching out for a few possible warning signs , according to researchers. Overly enthusiastic or negative reviews are red flags. Jargon that repeats a product’s full name or model number is another potential giveaway. When it comes to AI, research conducted by Balázs Kovács, a Yale professor of organization behavior, has shown that people can’t tell the difference between AI-generated and human-written reviews. Some AI detectors may also be fooled by shorter texts, which are common in online reviews, the study said. However, there are some “AI tells” that online shoppers and service seekers should keep it mind. Panagram Labs says reviews written with AI are typically longer, highly structured and include “empty descriptors,” such as generic phrases and attributes. The writing also tends to include cliches like “the first thing that struck me” and “game-changer.”

PHILADELPHIA, PA – Qlik ® has announced its vision for the trends set to shape the future of artificial intelligence (AI) and data-driven business in 2025. Drawing insights from its expertise and collaborations with industry leaders, Qlik identified three key themes that will define the landscape in the coming year: Authenticity, Applied Value, and Agents. These trends, developed by Qlik’s market intelligence team and informed by its Executive Advisory Board (EAB) and AI Council, explore both the opportunities and challenges ahead for AI integration in businesses. With the rapid growth of generative AI, the question of authenticity has become increasingly critical. Businesses are tasked with ensuring their data and outputs remain credible in a saturated digital space. “It’s imperative that organizations seek trust building and verification of sources,” said Dr. Rumman Chowdhury, CEO and Founder of Humane Intelligence. “Authentic output – based on real data produced by real people with real perspectives, rather than artificially generated ones – will be at a premium in the very near future.” Maintaining authenticity, Qlik believes, will be a significant factor in retaining stakeholder trust and business relevance as generative technologies evolve. AI adoption continues to accelerate, but businesses are now under pressure to demonstrate its return on investment (ROI). According to Qlik, the focus for 2025 will shift from exploratory use toward practical AI applications that drive measurable outcomes. “We have passed the initial excitement that came with the breakthrough of generative AI, and we are now in a space of figuring out its practical applications,” said Kelly Forbes, Co-Founder and Executive Director of AI Asia Pacific Institute. “We are not yet using AI to its full potential, but through awareness, education, and careful stewardship, we will work toward that in the year ahead.” Organizations that successfully embed AI within real-world contexts while balancing the costs against the tangible value it generates will stand out as leaders in innovation. The concept of autonomous agents – systems capable of learning and acting without human intervention – is set to revolutionize workflows. While widespread adoption may still be years away, businesses are already laying the groundwork for this shift. “It won’t happen next year, but by 2030, multi-agent architectures won’t be revolutionary; it’ll be ordinary,” said Nina Schick, Author, Advisor, and Founder of Tamang Ventures. “Businesses, from Fortune 500 giants to two-person startups, will harness this intelligence at their fingertips.” Qlik emphasized the need for companies to focus now on building robust data infrastructures and interconnected systems to prepare for this transformation. Dr. Michael Bronstein, DeepMind Professor of AI at the University of Oxford, added, “AI is not some force of nature, but our creation, and we need to shape it for our benefit. It’s not about machines replacing humans, but rather amplifying human potential and taking us to the next level.” Qlik’s Chief Strategy Officer, James Fisher, underscored the pivotal moment businesses face as they integrate AI into their operations. “As businesses grapple with the realities of AI integration, success will come to those who approach it as a strategic imperative, not a trend,” Fisher said. “Building smart, interoperable data ecosystems lays the groundwork for operational excellence while enabling businesses to uncover entirely new opportunities for growth and innovation. This is the tipping point for organizations ready to lead.” Qlik’s exploration of these themes highlights both challenges and opportunities for organizations seeking to leverage AI as a tool for strategic growth in 2025 and beyond. With a focus on authenticity, ROI-driven applications, and preparing for autonomous agents, businesses have the chance to redefine the way they operate and create value in a rapidly evolving technological landscape. For the latest news on everything happening in Chester County and the surrounding area, be sure to follow MyChesCo on Google News and MSN .Mysterious buck reveals potential AI fraud scheme targeting B.C. seniors (BC)