We may earn a commission from links on this page.Like shopping on Amazon itself, Prime Video can sometimes feel like a jumble sale: a proliferation of TV and movies from every era, none of it terribly well-curated. There’s a lot to sort through, and the choices can be a little overwhelming. Presentation issues aside, there are some real gems to be found, as long as you’re willing to dig a bit—the streamer offers more than a few impressive exclusives, though they sometimes get lost amid the noise. Here are 20 of the best TV series Prime Video has to offer, including both ongoing and concluded shows.Overcompensating (2025 – ) Comedian Benito Skinner plays himself, sort of, in this buzzy comedy that sees a former high school jock facing his freshman year in college, desperately trying to convince himself and everyone else that he's as straight as they come (relatable, except for the jock part). Much of the show's appeal is in its deft blending of tones: It's a frequently raunchy college comedy, but it's simultaneously a sweet coming-of-age story about accepting yourself without worrying about what everyone else thinks. The impressive cast includes Adam DiMarco (The White Lotus) and Rish Shah (Ms. Marvel) You can stream Overcompensating here. Étoile (2025 –, renewed for season two) Amy Sherman-Palladino and David Palladino (Gilmore Girls, The Marvelous Mrs. Maisel) are back on TV and back in the dance world (following Bunheads) with this series about two world-renowned ballet companies (one in NYC and one in Paris) that decide to spice things up by swapping their most talented dancers. Each company is on the brink of financial disaster, and so Jack McMillan (Luke Kirby), director of the Metropolitan Ballet, and Geneviève Lavigne (Charlotte Gainsbourg), director of of Le Ballet National, come up with the plan, and recruit an eccentric billionaire (Simon Callow) to pay for it. Much of the comedy comes from the mismatched natures of their swapped dancers, and there's a tangible love of ballet that keeps things light, despite the fancy title. You can stream Étoile here.Fallout (2024 – , renewed for second and third seasons) A shockingly effective video game adaptation, Fallout does post-apocalyptic TV with a lot more color and vibrancy than can typically be ascribed to the genre (in the world of Fallout, the aesthetic of the 1950s hung on for a lot longer than it did in ours). The setup is a little complicated, but not belabored in the show itself: It's 2296 on an Earth devastated two centuries earlier by a nuclear war between the United States and China, exacerbated by conflicts between capitalists and so-called communists. Lucy MacLean (Ella Purnell) emerges from the underground Vault where she's lived her whole life protected from the presumed ravages of the world above, hoping to find her missing father, who was kidnapped by raiders. The aboveground wasteland is dominated by various factions, each of which considers the others dangerous cults, and believes that they alone know mankind's way forward. It's also overrun by Ghouls, Gulpers, and other wild radiation monsters. Through all of this, Lucy remains just about the only human with any belief in humanity, or any desire to make things better. You can stream Fallout here.Deadloch (2023 –, renewed for a second season) Both an excellent crime procedural and an effective satire of the genre, this Australian import does about as well as setting up its central mystery as Broadchurch and its many (many) imitators. Kate Box stars as Dulcie Collins, fastidious senior sergeant of the police force in the fictional town of the title. When a body turns up dead on the beach, Dulcie is joined by Madeleine Sami's Eddie Redcliffe, a crude and generally obnoxious detective brought in to help solve the case. Unraveling the web of secrets and mysteries in the tiny Tasmanian town is appropriately addictive, with the added bonus of cop thriller tropes getting mercilessly mocked all the way. You can stream Deadlock here.The Lord of the Rings: The Rings of Power (2022 – , third season coming) All the talk around The Rings of Power in the lead-up to the series had to do with the cost of the planned five seasons expected to be somewhere in the billion dollar range. At that price point, it’s tempting to expect a debacle—but the resulting series is actually quite good, blending epic conflict with more grounded characters in a manner that evokes both Tolkien, and Peter Jackson’s Lord of the Rings films. Set thousands of years before those tales, the series follows an ensemble cast lead by Morfydd Clark as Elven outcast Galadriel and, at the other end of the spectrum, Markella Kavenagh as Nori, a Harfoot (the people we’ll much later know as Hobbits) with a yearning for adventure who finds herself caught up in the larger struggles of a world about to see the rise of the Dark Lord Sauron, the fall of the idyllic island kingdom of Númenor, and the the last alliance of Elves and humans. You can stream The Rings of Power here.Reacher (2022 – , fourth season coming) Getting high marks for his portrayal of the Lee Childs’ character (from both book and TV fans) is Alan Ritchson (Titans), playing Reacher with an appropriately commanding physical presence. The first season finds the former U.S. Army military policeman visiting the rural town of Margrave, Georgia...where he’s quickly arrested for murder. His attempts to clear his name find him caught up in a complex conspiracy involving the town’s very corrupt police force, as well as shady local businessmen and politicians. Subsequent seasons find our ripped drifter reconnecting with members of his old army special-investigations unit, including Frances Neagley (Maria Stan), who's getting her own spin-off. You can stream Reacher here. The Bondsman (2025, one season) It's tempting not to include The Bondsman among Prime's best, given that it's representative of an increasingly obnoxious trend: shows that get cancelled before they ever really got a chance. This Kevin Bacon-led action horror thriller did well with critics and on the streaming charts, and it's had a consistent spot among Prime's top ten streaming shows, but it got the pink slip anyway. Nevertheless, what we did get is a lot of fun: Bacon plays Hub Halloran, a bounty hunter who dies on the job only to discover that he's been resurrected by the literal devil, for whom he now works. It comes to a moderately satisfying conclusion, despite the cancellation. You can stream The Bondsman here. The Lord of the Rings: The Rings of Power (2022 – , third season coming) All the talk around The Rings of Power in the lead-up to the series had to do with the cost of the planned five seasons expected to be somewhere in the billion dollar range. At that price point, it’s tempting to expect a debacle—but the resulting series is actually quite good, blending epic conflict with more grounded characters in a manner that evokes both Tolkien, and Peter Jackson’s Lord of the Rings films. Set thousands of years before those tales, the series follows an ensemble cast lead by Morfydd Clark as Elven outcast Galadriel and, at the other end of the spectrum, Markella Kavenagh as Nori, a Harfoot (the people we’ll much later know as Hobbits) with a yearning for adventure who finds herself caught up in the larger struggles of a world about to see the rise of the Dark Lord Sauron, the fall of the idyllic island kingdom of Númenor, and the the last alliance of Elves and humans. You can stream The Rings of Power here.The Expanse (2015 – 2022, six seasons) A pick-up from the SyFy channel after that network all but got out of the original series business, The Expanse started good and only got better with each succeeding season. Starring Steven Strait, Shohreh Aghdashloo, and Dominique Tipper among a sizable ensemble, the show takes place in a near-ish future in which we’ve spread out into the solar system, while largely taking all of the usual political bullshit and conflicts with us. A salvage crew comes upon an alien microorganism with the potential to upend pretty much everything, if humanity can stop fighting over scraps long enough to make it matter. The show brings a sense of gritty realism to TV sci-fi, without entirely sacrificing optimism—or, at least, the idea that well-intentioned individuals can make a difference. You can stream The Expanse here. Mr. & Mrs. Smith (2024 – , renewed for a second season) One-upping the Brad Pitt/Angelina Jolie movie on which it's based, Mr. & Mrs. Smith stars Donald Glover and Maya Erskine as a couple of spies tasked to pose as a married couple while coordinating (and sometimes competing against one another) on missions. Smartly, each episode takes on a standalone mission in a different location, while complicating the relationship between the two and gradually upping the stakes until the season finale, which sees them pitted against each other. The show is returning for season two, though it's unclear if Glover and Erskine will be returning, or if we'll be getting a new Mr. & Mrs. You can stream Mr. & Mrs. Smith here. Good Omens (2019– , conclusion coming) Michael Sheen and David Tennant are delightful as, respectively, the hopelessly naive angel Aziraphale and the demon Crowley, wandering the Earth for millennia and determined not to let the perpetual conflict between their two sides get in the way of their mismatched friendship. In the show’s world, from the 1990 novel by Neil Gaiman and Terry Pratchett, heaven and hell are are less representative of good and evil than hidebound bureaucracies, more interested in scoring points on each other than in doing anything useful for anyone down here. It’s got a sly, quirky, sometimes goofy sense of humor, even while it asks some big questions about who should get to decide what’s right and what’s wrong. Following some depressingly gross revelations about writer and showrunner Gaiman, it was announced that he'd be off the production and the third season would be reduced to a movie-length conclusion, date tbd. You can stream Good Omens here. The Marvelous Mrs. Maisel (2017 – 2023, five seasons) Mrs. Maisel was one of Prime’s first and buzziest original series, a comedy-drama from Amy Sherman-Palladino (Gilmore Girls) about the title’s Midge Maisel (Rachel Brosnahan), a New York housewife of the late 1950s who discovers a talent for stand-up comedy. Inspired by the real-life careers of comedians like Totie Fields and Joan Rivers, the show is both warm and funny, with great performances and dialogue; it also achieves something rare in being a show about comedy that’s actually funny. You can stream Mrs. Maisel here. The Boys (2019 – , fifth and final season coming) There’s a lot of superhero stuff out there, no question, but, as there was no series quite like the Garth Ennis and Darick Robertson comic book on which this show is based, there’s nothing else quite like The Boys. The very dark satire imagines a world in which superheroes are big with the public, but whose powers don’t make them any better than the average jerk. When his girlfriend is gruesomely killed by a superhero who couldn’t really care less (collateral damage, ya know), Wee Hughie (Jack Quaid) is recruited by the title agency. Led by Billy Butcher (Karl Urban), the Boys watch over the world’s superpowered individuals, putting them down when necessary and possible. A concluding fifth season is on the way, as is a second season of the live-action spin-off (Gen V). An animated miniseries (Diabolical) came out in 2022. The Man in the High Castle (2015–2019, four seasons) From a novel by Philip K. Dick (whose work has been the basis for Blade Runner, Total Recall, Minority Report, A Scanner Darkly, among many others), The Man in the High Castle takes place in an alternate history in which the Axis powers won World War II, and in which the United States is split down the middle; Japan governing the west and Germany the east. The title’s man in the high castle offers an alternate view, though, one in which the Allies actually won, with the potential to rally opposition to the Axis rulers. As the show progresses through its four seasons, the parallels to our increasingly authoritarian-friendly world, making it one of the more relevant shows of recent years. You can stream The Man in the High Castle here. The Wheel of Time (2021 – 2025, three seasons) An effective bit of fantasy storytelling, The Wheel of Time sees five people taken from a secluded village by Moiraine Damodred (Rosamund Pike), a powerful magic user who believes that one of them is the reborn Dragon: a being who will either heal the world, or destroy it entirely. The show has an epic sweep while smartly focusing on the very unworldly villagers, experiencing much of this at the same time as the audience. This is another mixed recommendation in that, while the show itself is quite good, it has just been cancelled following a third season that saw it really getting into its groove. The show goes through the fourth and fifth books of Robert Jordan's fantasy series, so, I suppose, you can always jump into the novels to finish the story. You can stream Wheel of Time here. The Devil’s Hour (2022 – , renewed for a third season) Jessica Raine (Call the Midwife) joins Peter Capaldi (The Thick of It, Doctor Who) for a slightly convoluted but haunting series that throws in just about every horror trope that you can think of while still managing to ground things in the two lead performances. Raine plays a social worker whose life is coming apart on almost every level: She’s caring for her aging mother, her marriage is ending, her son is withdrawn, and she wakes up at 3:33 am every morning exactly. She’s as convincing in the role as Capaldi is absolutely terrifying as a criminal linked to at least one killing who knows a lot more than he makes clear. You can stream The Devil's Hour here. Batman: Caped Crusader (2024 – , second season coming) I know, there's a lot of Batman out there. But this one's got real style, harkening back to Batman: The Animated Series from the 1990s (no surprise, given that Bruce Timm developed this one too). With a 1940s-esque setting, the show dodges some of the more outlandish superhero tropes to instead focus on a Gotham City rife with crime, corrupt cops, and gang warfare. There's just enough serialization across the first season to keep things addictive. You can stream Caped Crusader here. Secret Level (2024 – , renewed for a second season) This is pretty fun: an anthology of animated shorts from various creative teams that tell stories set within the worlds of various (15 so far) video games, including Unreal, Warhammer, Sifu, Mega Man, and Honor of Kings. It's hard to find consistent threads given the variety of source material, but that's kinda the point: There's a little something for everyone, and most shorts don't demand any extensive knowledge of game lore—though, naturally, they're a bit more fun for the initiated. The voice cast includes the likes of Arnold Schwarzenegger, his son Patrick Schwarzenegger, Keanu Reeves, Gabriel Luna, Ariana Greenblatt, and Adewale Akinnuoye-Agbaje. You can stream Secret Level here. Cross (2024 – , renewed for a second season) James Patterson's Alex Cross novels have been adapted three times before, all with mixed results: Morgan Freeman played the character twice, and Tyler Perry took on the role in 2012. Here, the forensic psychologist/police detective of a few dozen novels is played by Aldis Hodge (Leverage, One Night in Miami...), and it feels like he's finally nailed it. There are plenty of cop-drama tropes at work here, but the series is fast-paced and intense, and Hodge is instantly compelling in the iconic lead role. You can stream Cross here. Fleabag (2016–2019, two seasons) Fleabag isn’t a Prime original per se, nor even a co-production, but Amazon is the show’s American distributor and still brands it as such, so we’re going to count it. There’s no quick synopsis here, but stars Phoebe Waller-Bridge as the title character (only ever known as Fleabag) in the comedy drama about a free-spirited, but also deeply angry single woman in living in London. Waller-Bridge won separate Emmys as the star, creator, and writer of the series (all in the same year), and co-stars Sian Clifford, Olivia Coleman, Fiona Shaw, and Kristin Scott Thomas all received well-deserved nominations. You can stream Fleabag here.

Ivanka Trump has made it clear that she's done with politics. That hasn't stopped her and husband Jared Kushner from remaining an influential political couple.They have not formally reprised their roles as White House advisors in President Donald Trump's second administration, but they've remained present in Donald Trump's political orbit.While Ivanka Trump opted out of the 2024 campaign trail, she and Kushner still appeared at the Republican National Convention, Donald Trump's victory party on election night, and the inauguration. Kushner also reportedly served as an informal advisor ahead of Donald Trump's trip to the Middle East in May, CNN reported.Ivanka Trump, who is Donald Trump's eldest daughter, converted to Judaism before marrying Kushner in 2009. They have three children: Arabella, Joseph, and Theodore.Here's a timeline of Ivanka Trump and Kushner's relationship. 2007: Ivanka Trump and Jared Kushner met at a networking lunch arranged by one of her longtime business partners. Ivanka Trump and Jared Kushner in 2007. PAUL LAURIE/Patrick McMullan via Getty Images Ivanka Trump and Kushner were both 25 at the time."They very innocently set us up thinking that our only interest in one another would be transactional," Ivanka Trump told Vogue in 2015. "Whenever we see them we're like, 'The best deal we ever made!'" 2008: Ivanka Trump and Kushner broke up because of religious differences. Jared Kushner and Ivanka Trump in 2008. Patrick McMullan/Patrick McMullan via Getty Images Kushner was raised in the modern Orthodox Jewish tradition, and it was important to his family for him to marry someone Jewish. Ivanka Trump's family is Presbyterian. 2008: Three months later, the couple rekindled their romance on Rupert Murdoch's yacht. Ivanka Trump and Jared Kushner in 2008. David X Prutting/Patrick McMullan/Patrick McMullan via Getty Images In his memoir, "Breaking History," Kushner wrote that Murdoch's then-wife, Wendi Murdoch, was a mutual friend who invited them both on the yacht. May 2009: They attended the Met Gala together for the first time. Jared Kushner and Ivanka Trump at the Met Gala. BILLY FARRELL/Patrick McMullan via Getty Images The theme of the Met Gala that year was "The Model As Muse." Ivanka Trump wore a gown by designer Brian Reyes. July 2009: Ivanka Trump completed her conversion to Judaism, and she and Kushner got engaged. Jared Kushner and Ivanka Trump in 2009. Billy Farrell/Patrick McMullan/Patrick McMullan via Getty Images Kushner proposed with a 5.22-carat cushion-cut diamond engagement ring.Ivanka Trump told New York Magazine that she and her fiancé were "very mellow.""We go to the park. We go biking together. We go to the 2nd Avenue Deli," she said. "We both live in this fancy world. But on a personal level, I don't think I could be with somebody — I know he couldn't be with somebody — who needed to be 'on' all the time." October 2009: Ivanka Trump and Kushner married at the Trump National Golf Club in New Jersey. Jared Kushner and Ivanka Trump on their wedding day. Brian Marcus/Fred Marcus Photography via Getty Images The couple invited 500 guests, including celebrities like Barbara Walters, Regis Philbin, and Anna Wintour, as well as politicians such as Rudy Giuliani and Andrew Cuomo. July 2011: The couple welcomed their first child, Arabella. Ivanka Trump and Jared Kushner with Arabella Kushner. Robin Marchant/Getty Images "This morning @jaredkushner and I welcomed a beautiful and healthy little baby girl into the world," Ivanka announced on X, then Twitter. "We feel incredibly grateful and blessed. Thank you all for your support and well wishes!" October 2013: Ivanka Trump gave birth to their second child, Joseph. Ivanka Trump with Arabella Rose Kushner and Joseph Frederick Kushner in 2017. Alo Ceballos/GC Images He was named for Kushner's paternal grandfather Joseph and given the middle name Frederick after Donald Trump's father. March 2016: Kushner and Ivanka Trump welcomed their third child, Theodore, in the midst of Donald Trump's presidential campaign. Ivanka Trump carried her son Theodore as she held hands with Joseph alongside Jared Kushner and daughter Arabella on the White House lawn. SAUL LOEB/AFP via Getty Images "I said, 'Ivanka, it would be great if you had your baby in Iowa.' I really want that to happen. I really want that to happen," Donald Trump told supporters in Iowa in January 2016.All three of the couple's children were born in New York City. May 2016: They attended the Met Gala two months after Ivanka Trump gave birth. Jared Kushner and Ivanka Trump attend the Met Gala. Kevin Mazur/WireImage Ivanka Trump wore a red Ralph Lauren Collection halter jumpsuit.On a 2017 episode of "The Late Late Show with James Corden," Anna Wintour said that she would never invite Donald Trump to another Met Gala. January 2017: Ivanka Trump and Kushner attended Donald Trump's inauguration and danced together at the Liberty Ball. Ivanka Trump and Jared Kushner on Inauguration Day. Photo by Rob Carr/Getty Images The Liberty Ball was the first of three inaugural balls that Donald Trump attended. January 2017: After the inauguration, Ivanka and Kushner relocated to a $5.5 million home in the Kalorama section of Washington, DC. Jared Kushner and Ivanka Trump's house in Washington, DC. PAUL J. RICHARDS/AFP via Getty Images Ivanka Trump and Kushner rented the 7,000-square-foot home from billionaire Andrónico Luksic for $15,000 a month, The Wall Street Journal reported. May 2017: They accompanied Donald Trump on his first overseas trip in office. Jared Kushner and Ivanka Trump with Pope Francis. Vatican Pool - Corbis/Corbis via Getty Images Kushner and Ivanka Trump both served as advisors to the president. For the first overseas trip of Donald Trump's presidency, they accompanied him to Saudi Arabia, Israel, the Vatican, and summits in Brussels and Sicily. October 2019: The couple celebrated their 10th wedding anniversary with a lavish party at Camp David. Ivanka Trump and Jared Kushner at a state dinner. MANDEL NGAN/AFP via Getty Images All of the Trump and Kushner siblings were in attendance. A White House official told CNN that the couple was covering the cost of the party, but Donald Trump tweeted that the cost would be "totally paid for by me!" August 2020: Ivanka Trump spoke about moving their family to Washington, DC, at the Republican National Convention. Jared Kushner and Ivanka Trump at the Republican National Convention. SAUL LOEB/AFP via Getty Images "When Jared and I moved with our three children to Washington, we didn't exactly know what we were in for," she said in her speech. "But our kids loved it from the start." December 2020: Ivanka Trump and Kushner reportedly bought a $32 million empty lot in Miami's "Billionaire Bunker." Jared Kushner and Ivanka Trump's plot of land in Indian Creek Village. The Jills Zeder Group; Samir Hussein/WireImage/Getty Images After Donald Trump lost the 2020 election, Page Six reported that the couple purchased a 1.8-acre waterfront lot owned by singer Julio Iglesias, Enrique Iglesias' father, in Indian Creek Village, Florida.The island where it sits has the nickname "Billionaire Bunker" thanks to its multitude of ultra-wealthy residents over the years, including billionaire investor Carl Icahn, supermodel Adriana Lima, and former Miami Dolphins coach Don Shula. January 2021: They skipped Joe Biden's inauguration, flying with Donald Trump to his Mar-a-Lago residence in Palm Beach, Florida, instead. Ivanka Trump, Jared Kushner, and their children prepared for Donald Trump's departure on Inauguration Day. ALEX EDELMAN/AFP via Getty Images Donald Trump did not attend Biden's inauguration, breaking a long-standing norm in US democracy. While initial reports said that Ivanka Trump was planning to attend the inauguration, a White House official told People magazine that "Ivanka is not expected to attend the inauguration nor was she ever expected to." January 2021: The couple signed a lease for a luxury Miami Beach condo near their Indian Creek Village property. Arte Surfside. Antonio Citterio Patricia Viel Ivanka Trump and Kushner signed a lease for a "large, unfurnished unit" in the amenities-packed Arte Surfside condominium building in Surfside, Florida.Surfside, a beachside town just north of Miami Beach that's home to fewer than 6,000 people, is only a five-minute drive from Indian Creek Island, where they bought their $32 million empty lot. April 2021: Ivanka Trump and Kushner reportedly added a $24 million mansion in Indian Creek Village to their Florida real-estate profile. Ivanka Trump and Jared Kushner on a walk in Florida. MEGA/GC Images The Real Deal reported that Ivanka and Kushner purchased another Indian Creek property — this time, a 8,510-square-foot mansion situated on a 1.3-acre estate. June 2021: Several outlets reported that the couple began to distance themselves from Donald Trump due to his fixation on conspiracy theories about the 2020 election. Ivanka Trump and Jared Kushner behind Donald Trump. Kevin Lamarque/Reuters CNN reported that Trump was prone to complain about the 2020 election and falsely claim it was "stolen" from him to anyone listening and that his "frustrations emerge in fits and starts — more likely when he is discussing his hopeful return to national politics."While Ivanka and Kushner had been living in their Miami Beach condo, not far from Trump's Mar-a-Lago club in Palm Beach, Florida, they'd visited Trump less and less frequently and were absent from big events at Mar-a-Lago, CNN said.The New York Times also reported that Kushner wanted "to focus on writing his book and establishing a simpler relationship" with the former president. October 2021: Ivanka Trump and Kushner visited Israel's parliament for the inaugural event of the Abraham Accords Caucus. Jared Kushner and Ivanka Trump in Israel. AHMAD GHARABLI/AFP via Getty Images The Abraham Accords, which Kushner helped broker in August 2020, normalized relations between Israel and the United Arab Emirates, Bahrain, Sudan, and Morocco.During their visit, Ivanka Trump and Kushner met with then-former Prime Minister Benjamin Netanyahu and attended an event at the Museum of Tolerance Jerusalem with former US Secretary of State Mike Pompeo. August 2022: Kushner released his memoir, "Breaking History," in which he wrote about their courtship. Jared Kushner. John Lamparski/Getty Images for Concordia Summit "In addition to being arrestingly beautiful, which I knew before we met, she was warm, funny, and brilliant," he wrote of getting to know Ivanka Trump. "She has a big heart and a tremendous zest for exploring new things."He also wrote that when he told Donald Trump that he was planning a surprise engagement, Trump "picked up the intercom and alerted Ivanka that she should expect an imminent proposal." November 2022: Kushner attended Donald Trump's 2024 campaign announcement without Ivanka Trump. Kimberly Guilfoyle, Jared Kushner, Eric Trump, and Lara Trump at Donald Trump's presidential campaign announcement. Jonathan Ernst/Reuters Ivanka Trump released a statement explaining her absence from the event."I love my father very much," her statement read. "This time around, I am choosing to prioritize my children and the private life we are creating as a family. I do not plan to be involved in politics. While I will always love and support my father, going forward I will do so outside the political arena." July 2024: Ivanka Trump and Kushner made a rare political appearance at the Republican National Convention. Donald Trump and Melania Trump onstage with Ivanka Trump and Jared Kushner. Jason Armond/Los Angeles Times via Getty Images Ivanka Trump did not campaign for her father or give a speech as she had at past Republican National Conventions, but she and Jared Kushner joined Trump family members onstage after Donald Trump's remarks. November 2024: They joined members of the Trump family in Palm Beach, Florida, to celebrate Donald Trump's election victory.

Co-lead author Ravneet Sidhu examines an ancient human tooth at the McMaster Ancient DNA Centre. (Image Credit: McMaster University)NewsletterSign up for our email newsletter for the latest science newsA new study in Science suggests that changes in a gene in Yersinia pestis, the bacterium that causes plague, could’ve added to the length of two plague pandemics, including the pandemic that started with the “Black Death.” “Ours is one of the first research studies to directly examine changes in an ancient pathogen, one we still see today, in an attempt to understand what drives the virulence, persistence, and eventual extinction of pandemics,” said Hendrik Poinar, a study author and the director of the McMaster Ancient DNA Centre, according to a press release.The study suggests that less virulent plague bacteria could’ve caused longer plague pandemics — thanks to the fact that infected rodents lived (and spread plague) for longer periods of time before dying from their infections. Read More: Scientists Reveal the Black Death’s Origin StoryThe Three Plague PandemicsThe bacterium Y. pestis infects rodents and humans alike and has caused three main plague pandemics in humans, all of which continued for centuries after their initial outbreaks. The first began in the 500s; the second began in the 1300s; and the third started in the 1800s (and still continues in certain areas in Asia, Africa, and the Americas today). Although all three pandemics were devastating at their outset, the second pandemic was by far the most severe. The Black Death, its initial outburst, killed around 30 to 50 percent of the population of Europe between 1347 and 1352 and — to this day — represents the deadliest disease wave in recorded history.To learn more about how these plague pandemics changed over time, scientists at McMaster University in Canada and the Institut Pasteur in France turned to a Y. pestis virulence gene known as pla. This gene is repeated many times throughout the Y. pestis genome, and it allows the bacterium to spread undetected throughout the bodies of infected individuals. A Gene and the PlagueTo investigate this gene, the scientists studied historical strains of Y. pestis from human remains and found that the number of repetitions of pla decreased over the course of the first and second plague pandemics. Then, the scientists tested Y. pestis bacteria from the third pandemic, infecting mice with three strains that had reduced repetitions of pla. “These three samples enabled us to analyze the biological impact of these pla gene deletions,” said Javier Pizarro-Cerdá, another study author and the director of the Yersinia Research Unit at the Institut Pasteur, according to the release.The results revealed that pla depletion decreases the virulence and increases the length of plague infections in mice. According to the study authors, these changes could have caused rodents to live longer in the later stages of the first and second pandemics, allowing them to spread their infections for a longer period. “It’s important to remember that plague was an epidemic of rats, which were the drivers of epidemics and pandemics. Humans were accidental victims. ” Poinar added in another press release.The Continued Threat of Y. PestisThough the pla depletion occurred around 100 years after the first and second pandemics began, the scientists stress that both changes were random and unrelated.“Our research sheds light on an interesting pattern in the evolutionary history of the plague. However, it is important to note that the majority of strains which continue to circulate today in Africa, the Americas, and Asia are highly virulent strains,” said Ravneet Sidhu, another study author and a Ph.D. student at the McMaster Ancient DNA Centre.Though still a threat to current populations, Y. pestis infections are much more manageable now as a result of modern diagnostics and treatments.“Today, the plague is a rare disease, but one that remains a public health concern and serves as a model for gaining a broad understanding of how pandemics emerge and become extinct. This example illustrates the balance of virulence a pathogen can adopt in order to spread effectively,” Pizarro-Cerdá said in the press release.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:Science. Sam Walters is a journalist covering archaeology, paleontology, ecology, and evolution for Discover, along with an assortment of other topics. Before joining the Discover team as an assistant editor in 2022, Sam studied journalism at Northwestern University in Evanston, Illinois.1 free article leftWant More? Get unlimited access for as low as $1.99/monthSubscribeAlready a subscriber?Register or Log In1 free articleSubscribeWant more?Keep reading for as low as $1.99!SubscribeAlready a subscriber?Register or Log In

Scientific research across fields like chemistry, biology, and artificial intelligence has long relied on human experts to explore knowledge, generate ideas, design experiments, and refine results. Yet, as problems grow more complex and data-intensive, discovery slows. While AI tools, such as language models and robotics, can handle specific tasks, like literature searches or code analysis, they rarely encompass the entire research cycle. Bridging the gap between idea generation and experimental validation remains a key challenge. For AI to autonomously advance science, it must propose hypotheses, design and execute experiments, analyze outcomes, and refine approaches in an iterative loop. Without this integration, AI risks producing disconnected ideas that depend on human supervision for validation. Before the introduction of a unified system, researchers relied on separate tools for each stage of the process. Large language models could help find relevant scientific papers, but they didn’t directly feed into experiment design or result analysis. Robotics can assist in automating physical experiments, and coding libraries like PyTorch can help build models; however, these tools operate independently of each other. There was no single system capable of handling the entire process, from forming ideas to verifying them through experiments. This led to bottlenecks, where researchers had to connect the dots manually, slowing progress and leaving room for errors or missed opportunities. The need for an integrated system that could handle the entire research cycle became clear. Researchers from the NovelSeek Team at the Shanghai Artificial Intelligence Laboratory developed NovelSeek, an AI system designed to run the entire scientific discovery process autonomously. NovelSeek comprises four main modules that work in tandem: a system that generates and refines research ideas, a feedback loop where human experts can interact with and refine these ideas, a method for translating ideas into code and experiment plans, and a process for conducting multiple rounds of experiments. What makes NovelSeek stand out is its versatility; it works across 12 scientific research tasks, including predicting chemical reaction yields, understanding molecular dynamics, forecasting time-series data, and handling functions like 2D semantic segmentation and 3D object classification. The team designed NovelSeek to minimize human involvement, expedite discoveries, and deliver consistent, high-quality results. The system behind NovelSeek involves multiple specialized agents, each focused on a specific part of the research workflow. The “Survey Agent” helps the system understand the problem by searching scientific papers and identifying relevant information based on keywords and task definitions. It adapts its search strategy by first doing a broad survey of papers, then going deeper by analyzing full-text documents for detailed insights. This ensures that the system captures both general trends and specific technical knowledge. The “Code Review Agent” examines existing codebases, whether user-uploaded or sourced from public repositories like GitHub, to understand how current methods work and identify areas for improvement. It checks how code is structured, looks for errors, and creates summaries that help the system build on past work. The “Idea Innovation Agent” generates creative research ideas, pushing the system to explore different approaches and refine them by comparing them to related studies and previous results. The system even includes a “Planning and Execution Agent” that turns ideas into detailed experiments, handles errors during the testing process, and ensures smooth execution of multi-step research plans. NovelSeek delivered impressive results across various tasks. In chemical reaction yield prediction, NovelSeek improved performance from a baseline of 24.2% (with a variation of ±4.2) to 34.8% (with a much smaller variation of ±1.1) in just 12 hours, progress that human researchers typically need months to achieve. In enhancer activity prediction, a key task in biology, NovelSeek raised the Pearson correlation coefficient from 0.65 to 0.79 within 4 hours. For 2D semantic segmentation, a task used in computer vision, precision improved from 78.8% to 81.0% in just 30 hours. These performance boosts, achieved in a fraction of the time typically needed, highlight the system’s efficiency. NovelSeek also successfully managed large, complex codebases with multiple files, demonstrating its ability to handle research tasks at a project level, not just in small, isolated tests. The team has made the code open-source, allowing others to use, test, and contribute to its improvement. Several Key Takeaways from the Research on NovelSeek include: NovelSeek supports 12 research tasks, including chemical reaction prediction, molecular dynamics, and 3D object classification. Reaction yield prediction accuracy improved from 24.2% to 34.8% in 12 hours. Enhancer activity prediction performance increased from 0.65 to 0.79 in 4 hours. 2D semantic segmentation precision improved from 78.8% to 81.0% in 30 hours. NovelSeek includes agents for literature search, code analysis, idea generation, and experiment execution. The system is open-source, enabling reproducibility and collaboration across scientific fields. In conclusion, NovelSeek demonstrates how combining AI tools into a single system can accelerate scientific discovery and reduce its dependence on human effort. It ties together the key steps, generating ideas, turning them into methods, and testing them through experiments, into one streamlined process. What once took researchers months or years can now be done in days or even hours. By linking every stage of research into a continuous loop, NovelSeek helps teams move from rough ideas to real-world results more quickly. This system highlights the power of AI not just to assist, but to drive scientific research in a way that could reshape how discoveries are made across many fields. Check out the Paper and GitHub Page . All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for Efficient and Scalable Problem-SolvingNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces WEB-SHEPHERD: A Process Reward Model for Web Agents with 40K Dataset and 10× Cost EfficiencyNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces MMaDA: A Unified Multimodal Diffusion Model for Textual Reasoning, Visual Understanding, and Image GenerationNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks

MCM Comic Con is still worth it for gamers even without EGX – Reader’s Feature GameCentral Published May 31, 2025 9:00am There’s never a dull moment at Comic Con (Credits: Aidan Synnott – ASV Photogrpahy) A reader reports back from his time at MCM Comic Con in London and gets to play a lot of video and tabletop games, despite a lack of big name attendees. Last week I attended yet another MCM Comic Con at the ExCeL Centre in London, along with my son, who this year decided to dress up as Super Mario. As you all know by now, MCM Comic Con is a three-day celebration of all things popular culture. However, this year’s show was not linked with EGX, as was the case at last October’s exhibition, so there was less emphasis on video games – but there was still a lot on offer. Our first stop was the Mattel stand, where they were promoting Barbie, Masters of the Universe, and Hot Wheels. There was a sit-down setup of Hot Wheels Unleashed 2: Turbocharged on the PlayStation 5. This was one of the highlights of the day, as we ended up returning a few times in an attempt to win the race. I’ll probably pick it up this up, as we enjoyed it so much. Up next was the chance to play Magic: The Gathering – Final Fantasy. This was one of the first opportunities to play the game before its release on 13th June. While I’d never properly played Magic before, I had dabbled in Final Fantasy’s own trading card game but stopped some time ago. We played using the starter deck kits featuring Cloud and Sephiroth and battled it out, with me emerging victorious. The cards looked amazing and feature characters, weapons, spells, and locations from all 16 mainline Final Fantasy titles. The only downer was that there were no promo cards being handed out. The next port of call was Artist Alley, where hundreds of independent artists showcased their wares. I was after one in particular: Stanley ‘Artgerm’ Lau. I first came across his work while playing Marvel Snap. I had a quick chat with him and got him to sign some artwork prints of Tifa and Rogue. Sticking with Final Fantasy, I noticed actor Ben Starr on the show floor – the voice of Clive Rosfield, the protagonist of Final Fantasy 16. I didn’t get a chance to speak with him, as he looked in a rush, probably due to the fact that he was part of the show with his Natural Six Dungeons & Dragons Actual Play panel. Final Fantasy is always at every Comic Con in some way (Tom Pozzetti) After lunch, we headed off to the Family Gaming Zone, where around 20 consoles were set up with a variety of family-friendly titles. Games that we sampled included Conduct TOGETHER! on the Nintendo Switch, a puzzle-type game where you manoeuvre trains and switch tracks to avoid collisions. Then, on to JellyCar Worlds, a driving and platforming game where you hav to work your way through various obstacles. It reminded me of both the Trials series and World Of Goo, with its physics-based gameplay. We proceeded to play Tower Of Babel – No Mercy, which was a shape-dropping game where the aim is to stack as high as possible. We played the co-op mode, where we each took turns placing rectangular-shaped blocks. On paper, that doesn’t sound like the greatest game, but the dormant competitive side of me came out and I was desperate to beat a nine-year-old child. The last game of the day was Astro Duel 2. The two of us joined four other convention players in a mix of retro pixel platforming and spaceship battles. It’s a combination of Smash Bros. and Asteroids, with players fighting fast on the ground or in the sky. Very hectic but a lot of fun – and great to play a six-person game with all players sitting alongside each other (although one kid did rage quit a few times!). Last call before heading home was the Bandai Namco zone. They had a strong showing, with multiple games available to try. It was great to see a major game publisher represented at the event. They were showcasing several Dragon Ball Z titles and Shadow Labyrinth, while Elden Ring: Nightreign was also on display – though sadly, not in a playable format. Finally, a quick spin on their gacha machines rounded off a wonderful day. More Trending Overall, another successful show and the next show’s dates have already been released. MCM returns to ExCeL London this October, along with EGX, for another three-day celebration from 24–26 October. By reader Tom Pozzetti (eyetunes – PSN ID) Wheels Unleashed 2: Turbocharged proved to be a favourite (Tom Pozzetti) The reader’s features do not necessarily represent the views of GameCentral or Metro. You can submit your own 500 to 600-word reader feature at any time, which if used will be published in the next appropriate weekend slot. Just contact us at gamecentral@metro.co.uk or use our Submit Stuff page and you won’t need to send an email. GameCentral Sign up for exclusive analysis, latest releases, and bonus community content. 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Reasoning tasks are a fundamental aspect of artificial intelligence, encompassing areas like commonsense understanding, mathematical problem-solving, and symbolic reasoning. These tasks often involve multiple steps of logical inference, which large language models (LLMs) attempt to mimic through structured approaches such as chain-of-thought (CoT) prompting. However, as LLMs grow in size and complexity, they tend to produce longer outputs across all tasks, regardless of difficulty, leading to significant inefficiencies. The field has been striving to balance the depth of reasoning with computational cost while also ensuring that models can adapt their reasoning strategies to meet the unique needs of each problem. A key issue with current reasoning models is the inability to tailor the reasoning process to different task complexities. Most models, including well-known ones like OpenAI’s o1 and DeepSeek-R1, apply a uniform strategy—typically relying on Long CoT across all tasks. This causes the “overthinking” problem, where models generate unnecessarily verbose explanations for simpler tasks. Not only does this waste resources, but it also degrades accuracy, as excessive reasoning can introduce irrelevant information. Approaches such as prompt-guided generation or token budget estimation have attempted to mitigate this issue. Still, these methods are limited by their dependence on predefined assumptions, which are not always reliable for diverse tasks. Attempts to address these issues include methods like GRPO (Group Relative Policy Optimization), length-penalty mechanisms, and rule-based prompt controls. While GRPO enables models to learn different reasoning strategies by rewarding correct answers, it leads to a “format collapse,” where models increasingly rely on Long CoT, crowding out more efficient formats, such as Short CoT or Direct Answer. Length-penalty techniques, such as those applied in methods like THINKPRUNE, control output length during training or inference, but often at the cost of reduced accuracy, especially in complex problem-solving tasks. These solutions struggle to achieve a consistent trade-off between reasoning effectiveness and efficiency, highlighting the need for an adaptive approach. A team of researchers from Fudan University and Ohio State University introduced the Adaptive Reasoning Model (ARM), which dynamically adjusts reasoning formats based on task difficulty. ARM supports four distinct reasoning styles: Direct Answer for simple tasks, Short CoT for concise reasoning, Code for structured problem-solving, and Long CoT for deep multi-step reasoning. It operates in an Adaptive Mode by default, automatically selecting the appropriate format, and also provides Instruction-Guided and Consensus-Guided Modes for explicit control or aggregation across formats. The key innovation lies in its training process, which utilizes Ada-GRPO, an extension of GRPO that introduces a format diversity reward mechanism. This prevents the dominance of Long CoT and ensures that ARM continues to explore and use simpler reasoning formats when appropriate. The ARM methodology is built on a two-stage framework. First, the model undergoes Supervised Fine-Tuning (SFT) with 10.8K questions, each annotated across four reasoning formats, sourced from datasets like AQuA-Rat and generated with tools such as GPT-4o and DeepSeek-R1. This stage teaches the model the structure of each reasoning format but does not instill adaptiveness. The second stage applies Ada-GRPO, where the model receives scaled rewards for using less frequent formats, such as Direct Answer or Short CoT. A decaying factor ensures that this reward gradually shifts back to accuracy as training progresses, preventing long-term bias toward inefficient exploration. This structure enables ARM to avoid format collapse and dynamically match reasoning strategies to task difficulty, achieving a balance of efficiency and performance. ARM demonstrated impressive results across various benchmarks, including commonsense, mathematical, and symbolic reasoning tasks. It reduced token usage by an average of 30%, with reductions as high as 70% for simpler tasks, compared to models relying solely on Long CoT. ARM achieved a 2x training speedup over GRPO-based models, accelerating model development without sacrificing accuracy. For example, ARM-7B achieved 75.9% accuracy on the challenging AIME’25 task while using 32.5% fewer tokens. ARM-14B achieved 85.6% accuracy on OpenBookQA and 86.4% accuracy on the MATH dataset, with a token usage reduction of over 30% compared to Qwen2.5SFT+GRPO models. These numbers demonstrate ARM’s ability to maintain competitive performance while delivering significant efficiency gains. Overall, the Adaptive Reasoning Model addresses the persistent inefficiency of reasoning models by enabling the adaptive selection of reasoning formats based on task difficulty. The introduction of Ada-GRPO and the multi-format training framework ensures that models no longer waste resources on overthinking. Instead, ARM provides a flexible and practical solution for balancing accuracy and computational cost in reasoning tasks, making it a promising approach for scalable and efficient large language models. Check out the Paper, Models on Hugging Face and Project Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces WEB-SHEPHERD: A Process Reward Model for Web Agents with 40K Dataset and 10× Cost EfficiencyNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces MMaDA: A Unified Multimodal Diffusion Model for Textual Reasoning, Visual Understanding, and Image GenerationNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural NetworksNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces GRIT: A Method for Teaching MLLMs to Reason with Images by Interleaving Text and Visual Grounding

Web navigation focuses on teaching machines how to interact with websites to perform tasks such as searching for information, shopping, or booking services. Building a capable web navigation agent is a complex task because it requires understanding the structure of websites, interpreting user goals, and making a series of decisions across multiple steps. These tasks are further complicated by the need for agents to adapt in dynamic web environments, where content can change frequently and where multimodal information, such as text and images, must be understood together. A key problem in web navigation is the absence of reliable and detailed reward models that can guide agents in real-time. Existing methods primarily rely on multimodal large language models (MLLMs) like GPT-4o and GPT-4o-mini as evaluators, which are expensive, slow, and often inaccurate, especially when handling long sequences of actions in multi-step tasks. These models use prompting-based evaluation or binary success/failure feedback but fail to provide step-level guidance, often leading to errors such as repeated actions or missing critical steps like clicking specific buttons or filling form fields. This limitation reduces the practicality of deploying web agents in real-world scenarios, where efficiency, accuracy, and cost-effectiveness are crucial. The research team from Yonsei University and Carnegie Mellon University introduced WEB-SHEPHERD, a process reward model specifically designed for web navigation tasks. WEB-SHEPHERD is the first model to evaluate web navigation agents at the step level, using structured checklists to guide assessments. The researchers also developed the WEBPRM COLLECTION, a dataset of 40,000 step-level annotated web navigation tasks, and the WEBREWARDBENCH benchmark for evaluating PRMs. These resources were designed to enable WEB-SHEPHERD to provide detailed feedback by breaking down complex tasks into smaller, measurable subgoals. WEB-SHEPHERD works by generating a checklist for each task based on the user’s instruction, such as “Search for product” or “Click on product page,” and evaluates the agent’s progress against these subgoals. The model uses next-token prediction to generate feedback and assigns rewards based on checklist completion. This process enables WEB-SHEPHERD to assess the correctness of each step with fine-grained judgment. The model estimates the reward for each step by combining the probabilities of “Yes,” “No,” and “In Progress” tokens and averages these across the checklist. This detailed scoring system enables agents to receive targeted feedback on their progress, enhancing their ability to navigate complex websites. The researchers demonstrated that WEB-SHEPHERD significantly outperforms existing models. On the WEBREWARDBENCH benchmark, WEB-SHEPHERD achieved a Mean Reciprocal Rank (MRR) score of 87.6% and a trajectory accuracy of 55% in the text-only setting, compared to GPT-4o-mini’s 47.5% MRR and 0% trajectory accuracy without checklists. When tested in WebArena-lite using GPT-4o-mini as the policy model, WEB-SHEPHERD achieved a 34.55% success rate, which is 10.9 points higher than using GPT-4o-mini as the evaluator, while also being ten times more cost-efficient. In ablation studies, the researchers observed that WEB-SHEPHERD’s performance dropped significantly when checklists or feedback were removed, proving their importance for accurate reward assignments. They also showed that multimodal input, surprisingly, did not always improve performance and sometimes introduced noise. This research highlights the critical role of detailed process-level rewards in building reliable web agents. The team’s work addresses the core challenge of web navigation—evaluating complex, multi-step actions—and offers a solution that is both scalable and cost-effective. With WEB-SHEPHERD, agents can now receive accurate feedback during navigation, enabling them to make better decisions and complete tasks more effectively. Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces MMaDA: A Unified Multimodal Diffusion Model for Textual Reasoning, Visual Understanding, and Image GenerationNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural NetworksNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces GRIT: A Method for Teaching MLLMs to Reason with Images by Interleaving Text and Visual GroundingNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm for Faster and Collaborative LLM Inference

Comparison of a megalodon tooth and a great white shark tooth, not associated with the study. (Image Credit: Mark_Kostich/Shutterstock) NewsletterSign up for our email newsletter for the latest science newsMegalodon teeth have always been key to understanding the ancient marine predator. Fossilized teeth are all that remain to prove the existence of these massive sharks, and the name megalodon is from the Greek for “big tooth.”A new study, published in Earth and Planetary Science Letters, highlights the importance of the megalodon’s human-hand-sized teeth once again. Thanks to extracting and analyzing the traces of zinc left in the fossilized teeth, researchers now know that the megalodon’s diet was much broader than scientists once believed.“Megalodon was by all means flexible enough to feed on marine mammals and large fish, from the top of the food pyramid as well as lower levels – depending on availability,” said Jeremy McCormack from the Department of Geosciences at Goethe University, in a press release.What Did the Megalodon Eat?Clocking in at 78 feet in length and weighing about twice as much as a semi truck, the megalodon was a big fish with a big appetite. It is suggested that a member of the Otodus shark family would require about 100,000 kilocalories per day to survive. Due to this extreme number, scientists have often assumed that the megalodon’s main source of calories came from whales.This new study suggests that whales were not the only item on the megalodon’s daily menu and that these sharks were actually quite adaptable when it came to their food. The research team analyzed 18-million-year-old giant teeth that came from two fossil deposits in Sigmaringen and Passau. What they were looking for was the presence of zinc-66 and zinc-64, two isotopes commonly ingested with food. Typically, the higher up in a food pyramid an animal is, the lower the presence of zinc. As they are oftentimes at the top of the food chain, species such as Otodus megalodon and Otodus chubutensis have a low ratio of zinc-66 to zinc-64 compared to species lower on the food chain.“Sea bream, which fed on mussels, snails, and crustaceans, formed the lowest level of the food chain we studied,” said McCormack in the press release. “Smaller shark species such as requiem sharks and ancestors of today’s cetaceans, dolphins, and whales, were next. Larger sharks, such as sand tiger sharks, were further up the food pyramid, and at the top were giant sharks like Araloselachus cuspidatus and the Otodus sharks, which include megalodon.”Surprisingly, the zinc levels in the megalodon teeth weren’t always that different from the zinc levels in species lower down the food chain. This result means that the commonly held scientific belief that megalodons focused their attention on eating large marine mammals may be incorrect. Instead, McCormack refers to the megalodon as an “ecologically versatile generalist” that adapted to environmental and regional constraints that changed the availability and variety of their prey.A New Method in Teeth TestingUsing the zinc content of fossilized teeth is a relatively new method of analysis, and the research team working on the megalodon couldn’t be happier with their results. The methods used in this study have not only been used for prehistoric shark and whale species but also modern-day shark species, and have even been used on herbivorous prehistoric rhinoceroses.Overall, these new methods have begun to rewrite the history of megalodon’s eating habits and may help to explain more about why these giants of the food chain went extinct. “[Determining zinc isotope ratios] gives us important insights into how the marine communities have changed over geologic time, but more importantly the fact that even ‘supercarnivores’ are not immune to extinction,” said Kenshu Shimada, a paleobiologist at DePaul University and a coauthor of this study, in the press release.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:Earth and Planetary Science Letters. Miocene marine vertebrate trophic ecology reveals megatooth sharks as opportunistic supercarnivoresAs the marketing coordinator at Discover Magazine, Stephanie Edwards interacts with readers across Discover's social media channels and writes digital content. Offline, she is a contract lecturer in English & Cultural Studies at Lakehead University, teaching courses on everything from professional communication to Taylor Swift, and received her graduate degrees in the same department from McMaster University. You can find more of her science writing in Lab Manager and her short fiction in anthologies and literary magazine across the horror genre.1 free article leftWant More? Get unlimited access for as low as $1.99/monthSubscribeAlready a subscriber?Register or Log In1 free articleSubscribeWant more?Keep reading for as low as $1.99!SubscribeAlready a subscriber?Register or Log In

McDonald's announced that it is closing its spin-off, CosMc's. Scott Olson/Getty Images 2025-05-24T18:14:23Z Save Saved Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? McDonald's is closing its CosMc's spin-off drink shops. CosMc's, which launched in 2023, drew comparisons to coffee shops like Starbucks and Dunkin Donuts. McDonald's sales declined this year amid economic uncertainty. McDonald's announced on Friday that it is closing its CosMc's spin-off line of Starbucks-style drink shops.McDonald's CEO Chris Kempczinski said in the company's last earnings call that drinks from CosMc's would be introduced to "hundreds of McDonald's restaurants" in the future."In connection with this next phase of testing, we will begin closing all stand-alone CosMc's pilot locations in late June, and the CosMc's app will be discontinued," a McDonald's spokesperson told Business Insider.When it opened in 2023, CosMc's drew comparisons to Starbucks. Its menu included coffees, teas, lemonades, slushes, breakfast sandwiches, and small donut-like pastries called "McPops."In a December 2023 meeting with investors, Kempczinski said that CosMc's is a "small format concept with all the DNA of McDonald's but its own unique personality.""Its menu includes new customizable drinks, sweet and savory treats and familiar favorites such as the Egg McMuffin," Kempczinski said in the meeting.In its announcement on Friday, McDonald's said CosMc's served as a good testing ground for different new flavors, and it plans to blend the "out of this world tastes" of CosMc's drinks into "the McDonald's experience.""What started as a belief that McDonald's had the right to win in the fast-growing beverage space quickly came to life as a multi-location, small format, beverage-focused concept," the company said. "It allowed us to test new, bold flavors and different technologies and processes — without impacting the existing McDonald's experience for customers and crew."The closing of CosMc's comes as McDonald's faces its lowest sales since the COVID-19 lockdowns. US same-store sales at McDonald's declined 3.6% during the first quarter.With low-income diners pulling back their spending over the past year due to economic uncertainty, McDonald's saw even more middle-income buyers do the same during its first quarter, Kempczinski said in an earnings call."People are just being more judicious in cutting back on visits," he told investors.

After eight seasons and over 200 guest stars, the adult animated franchise "Big Mouth" premiered its final season on Friday.Though it never reached the viewership numbers of behemoths like "Bridgerton" or "Stranger Things," it's one of the streamer's longest running original scripted shows.Across eight years, the series has won five Emmys and inspired the 2022 spin-off, "Human Resources." Season eight concludes the series, which was created by Nick Kroll, his childhood best friend Andrew Goldberg, Jennifer Flackett, and Mark Levin.The season follows a group of teens entering Bridgeton High School and having to rediscover their identities in the new school.As with previous seasons, the teens' hormones, feelings, and mental illnesses are personified through various creatures that appear to help guide the teens through the ups and downs of puberty. Nick Kroll plays Nick and Maury. Nick Kroll plays numerous characters in "Big Mouth." Courtesy of Netflix / Charley Gallay / Getty Images for Netflix Kroll played several human characters, including Nick Birch, the series' lead character, who was inspired by Kroll's childhood.Kroll also played Lola Skumpy and Coach Steve, Andrew's hormone monster, Maury, and Nick's hormone monster, Rick.Kroll is known for starring in the FX comedy "The League," creating and starring in his own sketch series "Kroll Show," and creating the "Big Mouth" spinoff series "Human Resources." John Mulaney plays Andrew Glouberman. John Mulaney plays Andrew, who is inspired by series co-creator Andrew Goldberg. Courtesy of Netflix Andrew Glouberman, a boy obsessed with masturbation, is Nick Birch's best friend who joins him on his adventure through puberty.John Mulaney, a comedian and former "Saturday Night Live" writer, plays the character. Mulaney has starred in other animated movies, including "Puss in Boots: The Last Wish" and "Spider-Man: Into the Spider-Verse." Jessi Klein plays Jessi Glaser. Jessi Klein is a producer and writer. Charley Gallay / Getty Images for Netflix / Courtesy of Netflix Jessi Klein plays Jessi Glaser, a close friend of Nick and Andrew's who explores her sexuality and struggles with depression and her parents' divorce.Klein is best known for her writing and producing work, having previously produced "Inside Amy Schumer," "Transparent," and "Dead to Me." Maya Rudolph plays Connie LaCienega and Diane Birch. Maya Rudolph has won four Emmys for her performance as Connie. Will Heath / NBC via Getty Images / Courtesy of Netflix Maya Rudolph plays two characters in the series — Connie LaCienega, the hormone monster for Jessi, and Diane Birch, Nick's mother.Rudolph, who rose to fame as a cast member on "Saturday Night Live," has won four primetime Emmy Awards for her performance in "Big Mouth" and has starred in numerous movies and TV shows, including "Bridesmaids," "The Good Place," and "The Lego Movie 2." Ayo Edebiri plays Missy Foreman-Greenwald. Ayo Edebiri played Missy from seasons five to eight. Charley Gallay / Getty Images for Netflix / Courtesy of Netflix Missy is a nerdy biracial classmate of Andrew, Jessi, and Nick's.In the first four seasons, Jenny Slate voiced the character, but she stepped down from the role in 2020, announcing on Instagram that black people should play black characters.Slate was replaced with Ayo Edebiri as Missy began to explore her Black identity in the show.Edebiri is best known for her breakout roles in the 2020s in "Bottoms" and "The Bear." Thandiwe Newton plays Mona. Thandiwe Newton plays a British hormone monster. Rodin Eckenroth / Film Magic / Getty / Courtesy of Netflix Thandiwe Newton played Missy's British hormone monster, Mona.Newton is known for starring in "Westworld," "Mission: Impossible II," and "Solo: A Star Wars Story." Jason Mantzoukas plays Jay Bilzerian. Jason Mantzoukas is known for playing chaotic characters like Jay. Charley Gallay / Getty Images for Netflix / Courtesy of Netflix Jay Bilzerian, a sex-obsessed bisexual boy, is another friend of Andrew, Nick, and Jessi's.Mantzoukas is a comedian who has previously played equally wacky characters in "Brooklyn Nine-Nine," "The Good Place," and "The League." Andrew Rannells plays Matthew MacDell. Andrew Rannells is the voice behind Matthew. Charley Gallay / Getty Images for Netflix Matthew MacDell, a gossipy gay student, was initially a secondary character in the first few seasons but became one of the main characters after season 3, developing relationships with Jay and Jessi.Broadway and screen actor Andrew Rannells has starred in "The Prom" and "Girls" and has a vibrant voice-acting career, appearing on shows like "Sonic X," "Pokémon," and "Invincible." David Thewlis plays The Shame Wizard. David Thewlis plays a spectre known as The Shame Wizard. Lisa Maree Williams / Getty Images / Courtesy of Netflix David Thewlis joined the cast in season two as the Shame Wizard, who will mock and bully the children to amplify their shame around their mistakes.Thewlis previously starred in multiple "Harry Potter" movies, "Wonder Woman," and "The Theory of Everything." Jean Smart plays Depression Kitty. Jean Smart played Depression Kitty since season two. Frazer Harrison / Getty Images / Courtesy of Netflix Depression Kitty first shows up in season two after Jessi starts to develop strong negative emotions amid her parents' divorce. Since then, Depression Kitty has made a few appearances across the show.Jean Smart, an Emmy-winning actor who stars in "Hacks," played Depression Kitty. Maria Bamford plays Tito the Anxiety Mosquito. Tito (Maria Bamford) has had recurring appearances since season four. Dia Dipasupil / Getty Images / Courtesy of Netflix. Tito the Anxiety Mosquito embodies the children's anxiety, first appearing in season four. Comedian Maria Bamford is known for her comedy specials as well as her Netflix show "Lady Dynamite." Zazie Beetz plays Danni. Zazie Beetz only starred in season 7. Amy Sussman / Getty Images / Netflix Danni is a student Nick meets in season seven when considering attending a private school.Zazie Beetz is known for her roles in "Atlanta," "Deadpool 2," "Joker," and "Bullet Train." Megan Thee Stallion plays Megan. Megan Thee Stallion made a cameo in "Big Mouth" season 7 as Megan the hormone monstress. David Crotty / Patrick McMullan via Getty Images / Netflix In season seven, Megan Thee Stallion guest stars as Megan, a hormone monster for Danni.Megan Thee Stallion is better known for her rapping career, though she has also starred in Disney+'s "She-Hulk: Attorney At Law" and the 2023 movie "Dicks: The Musical." Jordan Peele plays the ghost of Duke Ellington. The ghost of Duke Ellington (Jordan Peele) was a major supporting character in the first few seasons. Unique Nicole / WireImage / Netflix One of Nick's friends is the ghost of jazz pianist Duke Ellington, who lives in the teen's attic.Jordan Peele is the voice behind the ghost. He also played Missy's father, Cyrus Foreman-Greenwald.Peele is an Oscar-winning horror director and comedy actor best known for directing "Get Out," "Nope," and "Us" and starring in "Key and Peele." Brian Tyree Henry plays Elijah. Brian Tyree Henry joined the cast in season six. Jamie McCarthy / Getty Images / Netflix Elijah, an asexual Christian student, appears in seasons six and seven, building a relationship with Missy. They broke up after graduating from middle school.Brian Tyree Henry, known for his roles in "Atlanta," "Bullet Train," and Marvel's "Eternals," plays Elijah. Henry has voice acting experience from starring in the "Spider-Verse" movies as Miles Morales' father, Jefferson. Natasha Lyonne plays Ms. Dunn. Natasha Lyonne stars as a sex-ed teacher in "Big Mouth" season eight. The Hapa Blonde / GC Images / Getty Images / Courtesy of Netflix Natasha Lyonne guest stars in the final season as sex-ed teacher Ms. Dunn. Lyonne has also made cameos in previous seasons playing Suzette Saint James, Jay's pillow girlfriend, and Nadia Vulvokov, the character Lyonne plays in Netflix's "Russian Doll."Lyonne is best known for starring in "American Pie," "Orange is the New Black," and "Poker Face." Ali Wong plays Ali. Ali Wong joined the cast in season three, playing a transfer student. Jeff Kravitz / FilmMagic via Getty Images Ali Wong joined "Big Mouth" in season three, playing the pansexual transfer student Ali.Wong is a comedian who has previously starred in other Netflix originals like "Beef" and "Always Be My Maybe." Keke Palmer plays Rochelle. Keke Palmer is the voice actor behind the "Big Mouth" character Rochelle. Emma McIntyre / WireImage / Courtesy of Netflix "Big Mouth" season five introduced the concept of Hateworms and Lovebugs, who strengthen the children's emotions. Rochelle, played by Keke Palmer, was Missy's Hateworm but later transformed into her Lovebug.Palmer is best known for starring in "True Jackson, VP," "One of Them Days," and "Nope."