N1BOS — broadcast 20260810 003000 UTC 326 transcript segments Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking Data courtesy of The GDELT Project (https://www.gdeltproject.org/), from the Internet Archive TV News Archive. Machine transcription. Treat it as a searchable index of what was broadcast, not a verbatim quotation record. [00:02:05] Millions of young people around the world dream of becoming professional [00:02:08] athletes. American football is by far the most watched sport in [00:02:12] the United States, and in the 21st century it is increasingly gaining [00:02:16] global significance. [00:02:18] N1. Thank you for your attention. The best NFL players are in We'll hang out next week on the spotlight, as are their prominent colleagues from other [00:02:22] sports. They earn enormous sums of money and enjoy [00:02:26] privileges that most people can only [00:02:29] dream of. However, a successful sports career does not [00:02:32] mean a life without problems, nor that all of them are capable of [00:02:36] being role models and idols. This week, our [00:02:38] Ognjan Bojic brings us a story about NFL [00:02:41] scandals. [00:02:49] Over the last few decades, a large number of famous American football players [00:02:53] have found themselves behind bars for serious criminal offenses, some of them [00:02:56] sentenced to decades-long sentences. One of the most famous [00:03:00] cases is Aaron Hernandez, a former New England [00:03:03] Patriots tight end, convicted of the murder of Odin Lloyd in 2013. [00:03:06] He received a life sentence without the possibility of parole. [00:03:10] The investigation into the Lloyd case revealed evidence thanks to [00:03:13] which Hernandez was charged with the murders of two more people committed [00:03:17] in July 2012 in Boston. Hernandez was found [00:03:20] dead in his prison cell in April 2017, after committing [00:03:24] suicide at the age of 28. The case of Henry [00:03:28] Ruggs also attracted significant public attention. The Las Vegas [00:03:31] Raiders wide receiver pleaded guilty after a fatal car accident [00:03:35] he caused because he was under the influence of alcohol in 2021 in Las [00:03:38] Vegas, driving at high [00:03:41] speed. As a result, 22-year-old Serbian [00:03:44] Tina Tintor died. He was sentenced to a prison [00:03:48] term of 10 years with the possibility of parole after three [00:03:51] years. In June, his request for release from prison was [00:03:55] denied. The Raiders had previously selected him from the 12th position of the [00:03:58] 2020 draft. After a brilliant college career in an Alabama [00:04:02] jersey, in two seasons in the NFL, he played 20 games, caught [00:04:05] 50 passes, gained a total of 986 yards, and scored [00:04:09] four touchdowns. Among the most difficult cases is Darren [00:04:13] Sharper, a safety who played 14 years in the NFL, was a member of the ideal [00:04:17] team twice and won a title playing for the New Orleans Saints [00:04:20] in 2010. After his retirement a year later, [00:04:24] he faced accusations of drugging and then raping multiple [00:04:27] women, for which he was sentenced to 20 years in prison in 2016. [00:04:31] He is expected to be released in late 2028. [00:04:35] In the previous period, the arrest of [00:04:39] Terrion Arnold, a former Detroit cornerback, also attracted attention. [00:04:42] He is charged with kidnapping and armed robbery, for which he could be [00:04:46] sentenced to a long prison sentence. Local police stated that [00:04:49] the 20-year-old was the main organizer of [00:04:52] the attack. Arnold, however, denies any involvement, but according [00:04:56] to the state prosecutor's office, he is accused of organizing [00:05:00] the kidnapping and torture of several individuals in cooperation with [00:05:03] six other people, including two who pleaded guilty and [00:05:06] agreed to cooperate with authorities. The victims told [00:05:10] police that Arnold's [00:05:14] gunpoint and beat them, while simultaneously broadcasting the attack live [00:05:17] to Arnold via phone. Police claim that Arnold gave [00:05:21] instructions and later came to the apartment where it all [00:05:24] happened. Police announced that three young men, all in their late [00:05:28] teens, were held at gunpoint, beaten, pistol-whipped, and [00:05:32] robbed in an apartment in Tampa on February 4. The incident occurred [00:05:36] three days after a theft was reported of personal property worth more [00:05:39] than $250,000 belonging to Arnold and other [00:05:43] individuals from a rented house in Largo, about 30 km [00:05:46] west of the city. Arnold was a first-round pick in the NFL [00:05:50] draft in 2024, after shining in an Alabama jersey in [00:05:53] NCWA competition. Last season for the Detroit Lions, he [00:05:57] recorded 31 tackles and one interception. He ended the season [00:06:00] prematurely due to a shoulder injury, which was surgically repaired, [00:06:03] and the Lions released him due to [00:06:06] the accusations. The case is still ongoing, and it is not yet known [00:06:10] whether Arnold will actually end up in prison. In recent years, [00:06:13] there have been more cases in which former NFL players have been convicted of [00:06:17] various criminal offenses. Linebacker Robert McKnight, with almost a decade of experience in the [00:06:20] NFL, was sentenced to five years in prison for healthcare [00:06:24] insurance fraud, while former running back Zac Stacy served [00:06:28] a six-month prison sentence for domestic violence against his partner in front of their then [00:06:32] five-month-old child back in 2021. [00:06:35] Former prominent tight end, now 68-year-old Hall of Famer [00:06:39] Kellen Winslow, was also sentenced in 2021 to [00:06:42] 14 years in prison for rape and several other criminal [00:06:46] offenses. Rae Carruth played for the Carolina Panthers as a wide receiver for three [00:06:49] years in the late 20th century, and in 2001 he was convicted of [00:06:53] organizing the murder of his pregnant girlfriend and served 18 years of [00:06:56] his prison sentence. Former linebacker Eric Naposki, who [00:07:00] spent two years in the NFL in the late 80s, is serving a life sentence [00:07:04] for murder. However, all previous cases were overshadowed by O.J. [00:07:08] Simpson, although he was acquitted of double murder in the criminal trial, he [00:07:11] was later convicted of armed robbery and kidnapping and [00:07:15] spent years in prison. The popular Juice was not only a great NFL [00:07:18] star and one of the best running backs in history, but he was also [00:07:22] popular for his TV and acting career. Simpson [00:07:26] was arrested in 1994 and charged with the murders of his ex-wife, [00:07:29] Nicole Brown Simpson, and her lover, Ronald [00:07:32] Goldman. Although the case was called the trial of the century, Simpson was [00:07:36] eventually acquitted of the charges, despite being later found liable [00:07:40] in a civil suit. However, in September 2007, Simpson [00:07:43] was arrested in Las Vegas and charged with numerous serious felonies such as armed [00:07:47] robbery and kidnapping, after robbing dealers who were selling his [00:07:51] old football memorabilia. In 2008, he was sentenced to 33 [00:07:55] years in prison with a minimum of nine years without [00:07:58] the possibility of parole. In 2017, he was released on parole, [00:08:02] and then in 2021 he fully served his sentence, [00:08:06] only to pass away three years later. The case of [00:08:09] Ray Lewis remained particularly controversial. In 2001, [00:08:12] a year before the famous linebacker led the Baltimore Ravens to a Super Bowl victory [00:08:16] and won the award for the game's most valuable player, [00:08:19] Ray Lewis and his friends were involved in a fight with two [00:08:23] men at a Super Bowl party in Atlanta. Those two [00:08:27] men, Jacinth Baker and Richard Lollar, died [00:08:30] after being stabbed. 11 days after that party, against [00:08:34] Lewis and his friends Reginald Oakley and Joseph Sweeting, [00:08:37] an indictment for murder was filed. After testifying [00:08:41] against his friends, the murder charges against the now [00:08:44] 51-year-old Lewis were dropped, and he received [00:08:48] a minimal sentence, receiving a misdemeanor charge for obstruction of justice. [00:08:51] Although the case remains a mystery, it is believed that Lewis [00:08:55] paid the victims' families to drop the charges. Ray [00:08:59] played 17 years in the NFL, retiring after winning another title [00:09:02] in 2013. He was NFL Defensive Player of the Year twice, [00:09:06] a first-team All-Pro seven times, and a Pro Bowler 13 times. [00:09:10] He recorded 2059 tackles, 41.5 [00:09:13] sacks, 67 passes defended, 31 interceptions, [00:09:16] 17 forced fumbles, and 20 recovered fumbles, as well as three [00:09:20] defensive touchdowns. He played college football for the Miami [00:09:23] Hurricanes. After his career, he was inducted into the [00:09:26] Hall of Fame. The NFL has, over the years, punished numerous [00:09:30] players for other serious offenses. Revolutionary [00:09:33] quarterback Michael Vick served a prison sentence for organizing dog [00:09:36] fights, and celebrated cornerback Adam "Pacman" Jones had [00:09:40] a series of arrests and incidents. [00:09:42] One of the biggest draft busts, former quarterback Ryan Leaf, was convicted [00:09:46] of burglary and drug possession. The problems were not [00:09:49] limited to violent acts. Joel [00:09:53] Rufus French was sentenced to over 16 years in prison for [00:09:56] years of fraud that defrauded U.S. government healthcare [00:10:00] programs of nearly $200 million. According to the verdict, [00:10:03] he organized a network of fake medical clinics and medical equipment companies through which fake [00:10:06] reimbursement claims were submitted. Behind [00:10:10] trophies, million-dollar contracts, and stadium crowds, often, [00:10:13] at least for a while, there are people who fail to stay on the right path and end up in [00:10:17] courtrooms, many later in prison [00:10:20] cells. [00:18:24] From earthquakes to floods and wildfires, disasters are [00:18:27] becoming more destructive around the world. Rescue teams are [00:18:31] racing to save lives. Tech is giving them new tools from [00:18:35] drones and robots to AI-powered warning systems. But how much [00:18:39] difference can they really make? Let's find [00:18:41] out. [00:18:44] What if technology could explore a dangerous disaster zone before [00:18:48] rescuers go in? AI-powered drones and robots can [00:18:51] map damaged areas and assess risks in real [00:18:54] time. But for these high-tech tools to work, they need fast and reliable [00:18:58] data connections. Researchers at the German Rescue Robotic Center are [00:19:02] putting them to the test. [00:19:05] Drones could soon become a standard tool for rescue teams. They can scan [00:19:09] disaster zones, identify high- risk areas and search for [00:19:13] survivors. Drones are often controlled remotely and transmit live [00:19:16] video and sensor data to rescue teams. They have to be remote [00:19:20] controlled, so we need a low latency. It has to be [00:19:23] continuous. It has to be absolutely reliable, so the [00:19:26] communication must not break, not even a very, very [00:19:29] short time. Lives might depend on [00:19:32] it. Wolfgang Kellerer and his colleagues are [00:19:35] researching 6G, the next generation of mobile [00:19:38] networks. One day it could make communication between people and [00:19:41] intelligent machines faster and more [00:19:43] reliable. [00:19:47] The idea is simple: send the machines in [00:19:50] first. Ground robots can enter dangerous buildings. Their sensors [00:19:54] collect information while their thermal cameras search for people who [00:19:57] may be trapped or [00:19:58] injured. [00:20:01] Drones and other AI-powered devices are already being used. [00:20:05] They help search teams find lost hikers in difficult terrain and provide aid [00:20:09] to people trapped by [00:20:10] flooding. [00:20:15] In 2023, earthquakes struck Turkey and Syria and [00:20:19] killed nearly 60,000 people. Drones produced aerial [00:20:22] maps of the disaster zone in real [00:20:25] time. [00:20:28] What our drone operators see is happening right now. There is [00:20:32] no time delay. You don't have to wait for the next satellite constellation to pass over [00:20:35] the area. So, what you see is what you get, and in [00:20:39] rescue scenarios, having real- time data is absolutely [00:20:43] crucial. But even the smartest robot is only as good as its [00:20:47] connection. If the signal fails, operators lose [00:20:50] control. Researchers are testing portable mesh nodes, [00:20:54] small wireless relays that work together. They extend wireless [00:20:57] coverage, even in difficult terrain. All of this [00:21:01] has one goal: keeping rescuers safe. But [00:21:04] what happens when someone is buried somewhere even those machines can't [00:21:08] reach? Researchers are testing a very different kind of first [00:21:11] responder: cockroaches equipped with mini sensors. [00:21:15] These biobots can crawl through tiny gaps and hazardous areas looking [00:21:19] for survivors. And rescue doesn't only happen on [00:21:23] land. Underwater, strong currents and poor visibility can [00:21:26] create new challenges. That's where underwater drones come [00:21:30] in. [00:21:33] This compact underwater drone is designed to make the work of rescue teams [00:21:37] easier. [00:21:40] According to its developer, it can be deployed in about 10 minutes [00:21:44] and operate at a depth of up to 300 [00:21:46] meters. And its hot swap battery [00:21:50] technology supposedly gives it a wired operating range of about [00:21:54] 2 kilometers for up to 4 [00:21:56] hours. We focus really on the most challenging [00:22:00] conditions. So here in Switzerland for example we have rivers [00:22:04] which are quite challenging to to operate in as humans. [00:22:07] Underwater drones are used to locate water ammunitions. About [00:22:11] 1.6 million tons were dumped in the North and Baltic Seas during the [00:22:15] World Wars, posing long-term environmental and [00:22:18] safety risks. Using HD cameras and acoustic [00:22:21] sensors or sonar, the robot can survey large areas either [00:22:25] autonomously or under remote control. Once it [00:22:28] identifies an object, operators can guide it for a closer [00:22:31] inspection and recover loads of up to 40 [00:22:33] kilos. [00:22:36] Using AI and sensor fusion technology, the drone combines [00:22:40] information from cameras and sonar, allowing it to navigate even in murky [00:22:44] water. [00:22:48] You have both basically. Information and acoustic information, uh, [00:22:52] it displays this 3D map um in real time for the operator. [00:22:56] Or of course if you have an autonomous interface, it's much simpler. You just say, well, we [00:23:00] need to search that area or inspect that kind of [00:23:02] structure and it does it for you basically. The [00:23:06] system has already been used in search and rescue missions. It could also [00:23:10] support offshore wind, oil and gas inspections, reducing the need [00:23:14] for dives in hazardous conditions. [00:23:18] Drones like this take years of engine engineering and a lot of money. [00:23:21] But not every AI rescue tool starts in a big company or [00:23:25] research lab. This wildfire detection system began with an [00:23:29] idea from a teenager who wanted to protect his community. [00:23:32] Today it's helping detect wildfires around the [00:23:35] world. I started in 2020 because I personally [00:23:39] had family friends who lost their homes to wildfires and [00:23:43] I really wanted to do something about it. Franco [00:23:46] Rodriguez-Villao was 16 when he co-founded Satellites on Fire, [00:23:50] an AI-powered early warning system for wildfires. Today [00:23:54] company figures show the platform is used in more than 20 countries and helped [00:23:57] authorities respond to more than 600 wildfires in [00:24:00] 2025. The company also says its alert system [00:24:04] can detect fires faster than [00:24:05] NASA's. [00:24:08] We combine satellites, cameras, drones, sensors and [00:24:12] AI to detect fires. We have an AI algorithm [00:24:16] that is enabling us to detect much faster by [00:24:19] combining different kinds of information with reports from customers in [00:24:23] territory. The platform can send smartphone [00:24:26] alerts to people who are in danger and notify [00:24:30] first responders. Franco's goal is to save lives [00:24:33] and to protect forests, wildlife and fragile [00:24:37] ecosystems. [00:24:42] we want to be an integral solution for this problem globally, so this means [00:24:46] being in prevention, detection, monitoring and suppression of the fires. [00:24:53] But many regions simply don't have this technology. In many places [00:24:56] hit hardest by climate related disasters, rescue teams work [00:25:00] with whatever they have. Pakistan is among the countries most [00:25:04] vulnerable to climate change. Every monsoon, [00:25:07] floods kill hundreds and in the worst years force millions from their [00:25:10] homes. The warning systems often don't reach everyone. [00:25:14] That's where Citizen Let technology can [00:25:16] help. Nothing but water were... roads and fields [00:25:20] once stood. Pakistan's monsoon floods are a deadly threat. In [00:25:24] 2022 alone, flooding killed more than 1,700 people and affected [00:25:28] 33 million others, nearly one in seven Pakistanis. In [00:25:32] some flood prone areas, early warning systems still have gaps. Studies point [00:25:35] to problems with monitoring, forecasting and [00:25:38] coordination. [00:25:41] In some places, communities, NGOs and startups are [00:25:45] stepping in. One Karachi-based IoT company has [00:25:48] installed sensors at [00:25:57] The system uses two kinds of sensors: ultrasonic sensors [00:26:01] measure water levels. [00:26:34] Irrigation officials can then check water levels at each flood control [00:26:37] gate on their dashboard and monitor the [00:26:40] situation. [00:26:46] Getting that technology into rural Sindh province isn't [00:26:49] easy. Mobile coverage can be [00:26:51] patchy. [00:26:53] But where they work, the sensors give authorities more time to warn people and [00:26:57] evacuate. [00:27:02] Millions of people live in informal settlements that are hard hit by [00:27:06] flooding. Many of these areas are poorly mapped, [00:27:09] making evacuation even more [00:27:11] difficult. [00:27:13] A local initiative is now digitizing old maps and combining them with [00:27:17] satellite imagery to map flood routes. People in [00:27:20] Karachi already share flood updates on WhatsApp, warning about flooded [00:27:24] streets and blocked roads. Now those [00:27:27] crowdsourced reports are feeding a live map through an app called [00:27:30] Arfart Info. [00:27:36] We take all of that data together and we collectively turn it into a [00:27:40] live map which lets you choose your mode of [00:27:43] transport and based on that it tells you what [00:27:47] is a safe way for you to take. For [00:27:51] now these tools remain local and limited. But as [00:27:54] floods become more severe, the challenge is getting them to the people [00:27:58] who need them most. [00:28:04] One of the best rescue tools is also one of the simplest: phone [00:28:07] alerts. They can save more lives than the most expensive rescue [00:28:11] equipment. When a powerful earthquake struck Venezuela in June [00:28:14] 2026, the country had no public early warning [00:28:18] system, but millions of Android phones still sounded [00:28:21] an alarm. Using data from smartphones, Google's alert system [00:28:25] detected the quake and warned people before the strongest shaking [00:28:29] arrived. Chile, by contrast, has a state-run warning [00:28:32] system, one of the most established in Latin America. It sends alerts to [00:28:36] millions of phones within seconds. [00:28:40] At Chile's National Disaster Prevention and Response Service, every [00:28:43] second counts. The team issues early warnings and [00:28:47] coordinates the response to earthquakes, tsunamis and [00:28:50] other emergencies. AI helps get those warnings out in [00:28:53] time. [00:28:58] AI helps us collect, consolidate and process information more [00:29:01] efficiently. So we can produce timely reports, issue alerts [00:29:05] and analyze incoming data. The goal is to [00:29:08] ensure that both authorities and the public are warned in a timely [00:29:11] manner. [00:29:14] To warn as many people as possible, Senapred relies on cell [00:29:18] broadcast technology. Instead of sending millions of individual text [00:29:22] messages, alerts are transmitted simultaneously from every cell tower [00:29:25] in the danger zone to all compatible phones nearby. [00:29:29] Even if the networks are overloaded, the warning still gets through. [00:30:32] people when they need it most. Fast, reliable phone alerts are [00:30:36] the first line of defense. AI, drones and robots [00:30:40] are helping rescue teams go even further. That's all for [00:30:44] me, bye.