Latest news with #Humans
Economic Times
3 days ago
- Entertainment
- Economic Times
'Gen V' Season 2 date out: Check teaser, date and other details
The second season of 'Gen V', a spinoff of 'The Boys', will premiere on September 17 with weekly episodes. This season addresses Homelander's influence and a secret program at Godolkin University, impacting Marie and her peers. Following Chance Perdomo's death, his character Andre Anderson will not be recast, with the storyline adjusted to reflect his absence. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads The second season of Gen V, the spinoff of The Boys, premieres on September 17 with the first three episodes. New episodes will be released every Wednesday, leading up to the season finale on October per Amazon's description for "Gen V" Season 2, "As the rest of America adjusts to Homelander's iron fist, back at Godolkin University , the mysterious new Dean preaches a curriculum that promises to make students more powerful than ever. Cate and Sam are celebrated heroes, while Marie, Jordan, and Emma reluctantly return to college, burdened by months of trauma and loss. But parties and classes are hard to care about with war brewing between Humans and Supes, both on and off campus. The gang learns of a secret program that goes back to the founding of Godolkin University that may have larger implications than they realise. And, somehow, Marie is a part of it," reported eight-episode first season of 'Gen V' starred Jaz Sinclair as Marie Moreau, the late Chance Perdomo as Andre Anderson , Lizze Broadway as Emma Meyer, Maddie Phillips as Cate Dunlap, London Thor as Jordan Li, Derek Luh as Jordan Li, Asa Germann as Sam Riordan and Sean Patrick Thomas as Polarity. For Season 2, Hamish Linklater has joined the cast as Dean Cipher.'Gen V' Season 1 aired from September 29-November 3, Perdomo's sudden death in a motorcycle crash in March 2024, Amazon confirmed his role of Andre Anderson would not be recast and the planned storyline for Season 2 would be adjusted the teaser trailer for "Gen V" Season 2, "Perdomo's real-life death is addresses by showing Andre's father Polarity (Thomas) enraged over his son's disappearance at the hands of Vought at the end of Season 1, and Polarity demanding answers from Dean Cipher about what "really happened" to him," reported out the teaser trailer"Gen V" was co-created by Michele Fazekas and Tara Butters. Fazekas serves as showrunner and executive produces alongside "The Boys" showrunner Eric Kripke, Seth Rogen, Evan Goldberg, James Weaver, Neal H. Moritz, Ori Marmur, Pavun Shetty, Ken Levin, Jason Netter, "The Boys" comic book creators Garth Ennis and Darick Robertson, Michaela Starr, Ori Marmur, Thomas Schnauz, Steve Boyum and Brant Engelstein. Co-executive producers include Loreli Alanis, Gabriel Garcia and Jessica Pictures Television and Amazon Studios, in association with Kripke Enterprises, Point Grey Pictures, and Original Film, are producing the "The Boys" spinoff, according to Variety.
Yahoo
23-05-2025
- Sport
- Yahoo
🤖 AI vs Humans: Predicting the results of Premier League Matchday 38
🤖 AI vs Humans: Predicting the results of Premier League Matchday 38 Let us know your predictions in the comments! Last week, we pitted our special guest - DJ and producer Daire - against an AI to see who could most accurately predict the results of Premier League matchday 37. Advertisement Daire had an absolutely stunning week, correctly predicting Aston Villa's 2-0 win over Tottenham, Nottingham Forest's 2-1 win at West Ham and Arsenal's 1-0 win over Newcastle, plus four correct results. And he beat the AI, who correctly predicted Leicester's 2-0 win over Ipswich, plus four correct results. That leaves the scores (three points for a correct score and one point for a correct result) at 242-226 in the AI's favour after 37 rounds of games this season. Our challenger for the final matchday of the season is Arsenal fan and DnB producer Friction. Watch the video to find out what Friction and the AI went for in the three biggest matches of the weekend; Fulham v Manchester City, Nottingham Forest v Chelsea and Southampton v Arsenal. 'Shoot' by Friction & BassLayerz is out now. Follow him on Instagram Here are the matchday 38 predictions in full... Bournemouth v Leicester AI 🤖 1-1 Advertisement Friction 🎧 3-0 Fulham v Manchester City AI 🤖 0-3 Friction 🎧 0-1 Ipswich v West Ham AI 🤖 1-2 Friction 🎧 1-1 Liverpool v Crystal Palace AI 🤖 2-0 Friction 🎧 3-0 Manchester United v Aston Villa AI 🤖 1-2 Friction 🎧 1-2 Newcastle v Everton AI 🤖 2-1 Friction 🎧 1-0 Nottingham Forest v Chelsea AI 🤖 1-2 Friction 🎧 1-1 Southampton v Arsenal AI 🤖 0-3 Friction 🎧 0-2 Tottenham v Brighton AI 🤖 2-2 Friction 🎧 1-1 Wolves v Brentford AI 🤖 1-1 Friction 🎧 1-1
Yahoo
20-05-2025
- Entertainment
- Yahoo
Here's your first look at Outlander star's "tense and claustrophobic" British thriller Row
Outlander star Sophie Skelton's upcoming British thriller Row has received a number of new first-look photos. Described by director Matthew Losasso as "tense and claustrophobic", Row follows the story of a woman who is washed ashore in a shipwreck after attempting to cross the North Atlantic. With her friends and crewmates missing and presumed dead, the survivor must regain her memory of what happened at sea in order to put the pieces together and to prove her innocence. The synopsis reads: "A woman is interrogated after washing ashore in a bloodstained rowing boat. Appearing to be the sole survivor of an attempted North Atlantic crossing, she pieces together repressed memories and faces the terror of what happened out at sea." Joining Skelton on the cast are Humans actor Bella Dayne, Red, White & Royal Blue star Akshay Khanna and Before We Die's Mark Strepan. Related: Caitríona Balfe lands first post-Outlander movie role alongside Tom Hiddleston Written by Nick Skaugan, Row is set to receive its world premiere at this year's Raindance Film Festival in June. The first-look images of the thriller, which was shot on the open sea, show the bedraggled crew of the boat in what appears to be a tense and harrowing fight for survival. On his website, Losasso said of his debut feature: "It is a tense and claustrophobic psychological thriller. Set against the cinematic backdrop of the North Atlantic ocean and the Scottish island of Hoy." Related: Sam Heughan's rom-com branded "cute" by viewers is now on Netflix Back when the film was announced, the director opened up about the script, calling the drama "compelling" and "intense" (per The Hollywood Reporter). "An immense ocean appears to stretch infinitely in all directions and yet on board the Valiant," Losasso said. "The lack of space fuels paranoia and intense drama. It's a compelling and fabulously ambitious script. "If filming on water wasn't enough of a challenge, throw in a twisty dark plot, complicated techniques to avoid green screen backdrops, a commitment to capture the rugged beauty of ocean landscapes and the constraints of independent filmmaking." Related: Best streaming services Skelton is known for her role as Brianna Fraser in the time-travelling historical drama Outlander, which was based on the bestselling book series by Diana Gabaldon. Outlander fans recently received an exciting update after a release date was announced for its highly-anticipated prequel series Blood of My Blood. Set in two different timelines, the show will focus on the parents of Outlander leads Claire Beauchamp (Caitríona Balfe) and Jamie Fraser (Sam Heughan). Back in April, Starz announced that the new show will premiere on 8 August in the US. It will debut the following day in the UK on MGM+. Digital Spy's first print magazine is here! Buy British Comedy Legends in newsagents or online, now priced at just £3.99.£18.99 at at at at Audible at EE£99.00 at Amazon at at at at at at at EE at at at at £91.40 at at at Amazon at at at Pandora£19.00 at Game at at EE£29.98 at at at at Sky Mobile£219.00 at at at Game£123.99 at at at at Three at at at at Pandora at at at at at £1199.00 at AO at at at at at Fitbit at at at at at at John Lewis£119.00 at at at at at at at at at at at at at John Lewis & Partners£90.00 at at at at at at at Amazon at at John Lewis at Three£32.99 at Amazon at at at at at John Lewis & Partners at Fitbit at at at at at at Amazon£49.99 at Amazon at Apple at at at at at Three at at at at at at at Audible£49.99 at at at at at at at at EE at at at John Lewis at at John Lewis at EE at at £379.00 at at at at Amazon at at at Apple at at at £79.00 at Samsung at at Apple$365.00 at Microsoft at Three at at at at John Lewis at crunchyroll£22.00 at Amazon at at AO£79.00 at Samsung£449.00 at John Lewis£79.98 at at at at at at John Lewis & Partners£79.98 at at Microsoft£299.00 at Microsoft at at at at Amazon at at at John Lewis£269.99 at at at at now at at John Lewis & Partners at at at at Microsoft at at at at John Lewis at at at at at at at at at at at at at at at at at at at at at at You Might Also Like PS5 consoles for sale – PlayStation 5 stock and restocks: Where to buy PS5 today? IS MISSION: IMPOSSIBLE 7 THE BEST IN THE SERIES? OUR REVIEW AEW game is a modern mix of No Mercy and SmackDown
Forbes
14-05-2025
- Forbes
AI Is Rewriting Reality, One Word At A Time
Language is the foundation of business, culture, and consciousness. But AI isn't just using our words—it's reshaping them. Quietly, subtly, it's dismantling the architecture of thought by eroding what we used to think: nouns. We used to believe that naming something gave it power. Giving a thing a noun means tethering it to meaning, identity, and memory. But in the age of AI, nouns are dissolving—not banned, not erased—but rendered functionally obsolete. And with them, our grasp on reality is starting to fray. AI doesn't see the world in things. It sees the world in patterns—actions, probabilities, and prompts. A chair is no longer an object; it's 'something to sit on.' A self is no longer an identity; it's 'a collection of behaviors and preferences.' Even brands, once nouns wrapped in mythology, are being reconstituted as verbs. You don't have a brand. You do a brand. This linguistic shift isn't neutral. It's a collapse of conceptual anchors. In generative systems, nouns aren't centers of gravity. They're scaffolding for action. This reflects a broader trend in how generative AI is reshaping communication across every industry. As they fade, so do permanence, authorship, and the idea of fixed meaning. Recent research supports this trend. A study titled Playing with Words: Comparing the Vocabulary and Lexical Richness of ChatGPT and Humans found that ChatGPT's outputs exhibit significantly lower lexical diversity than human writing. In particular, nouns and specific, stylistic words are often underused, suggesting that generative systems prioritize predictable, commonly used language while deprioritizing less frequent terms. Further analysis of 14 million PubMed abstracts revealed a measurable shift in word frequency post-AI adoption. Words like 'delves' and 'showcasing' surged, while others faded—showing that large language models are already reshaping vocabulary patterns at scale. Sound familiar? It should. To understand their relevance, it helps to recall what George Orwell and Aldous Huxley are most famous for. Orwell authored 1984, a bleak vision of the future where an authoritarian regime weaponizes language to suppress independent thought and rewrite history. His concept of Newspeak—a restricted, simplified language designed to make dissent unthinkable—has become a cultural shorthand for manipulative control. On the other hand, Huxley wrote Brave New World, which envisioned a society not characterized by overt oppression, but rather by engineered pleasure, distraction, and passive conformity. In his world, people are conditioned into compliance not through violence but through comfort, entertainment, and chemical sedation. Both men anticipated futures in which language and meaning are compromised, but in radically different ways. Together, they map the two poles of how reality can be reconditioned: by force or indulgence. Few realize that George Orwell was once a student of Aldous Huxley. In the late 1910s, while Orwell (then Eric Blair) studied at Eton, Huxley taught him French. Their relationship was brief but prophetic. Decades later, each would author the defining visions of dystopia—1984 and Brave New World. After reading 1984, Huxley wrote to Orwell with a haunting message: And that's precisely where we are now. Orwell feared control through surveillance and terror. Huxley feared control through indulgence and distraction. Generative AI, cloaked in helpfulness, embodies both. It doesn't censor. It seduces. It doesn't need Newspeak to delete ideas. It replaces them with prediction. In 1984, language was weaponized by force. In our world, it's being reshaped by suggestion. What we have is not Artificial Intelligence—it's Artificial Inference: trained not to understand but to remix, not to reason but to simulate. And this simulation brings us to a more profound loss: intersubjectivity. Humans learn, grow, and build reality through intersubjectivity—the shared context that gives language its weight. It allows us to share meaning, to agree on what a word represents, and to build mutual understanding through shared experiences. Without it, words float. AI doesn't participate in intersubjectivity. It doesn't share meaning—it predicts output. And yet, when someone asks an AI a question, they often believe the answer reflects their framing. It doesn't. It reflects the average of averages, the statistical ghost of comprehension. The illusion of understanding is precise, polite, and utterly hollow. This is how AI reconditions reality at scale—not by force, but by imitation. The result? A slow, silent attrition of originality. Nouns lose their edges. Ideas lose their anchors. Authorship bleeds into prompting. And truth becomes whatever the model says most often. In one recent public example, Air Canada deployed an AI-powered chatbot to handle customer service inquiries. When a customer asked about bereavement fare discounts, the chatbot confidently invented a policy that didn't exist. The airline initially tried to avoid responsibility, but the court disagreed. In February 2024, a tribunal ruled that Air Canada was liable for the misinformation provided by its chatbot. This wasn't just a technical glitch—it was a trust failure. The AI-generated text sounded plausible, helpful, and human, but it lacked grounding in policy, context, or shared understanding. In effect, the airline's brand spoke out of both sides of its mouth and cost them. This is the risk when language is generated without intersubjectivity, oversight, or friction. It's not just theory—research is now quantifying how generative AI systems are shifting the landscape of language itself. A study titled Playing with Words: Comparing the Vocabulary and Lexical Richness of ChatGPT and Humans found that AI-generated outputs consistently use a narrower vocabulary, with significantly fewer nouns and stylistic words than human writing. Building on this, an analysis of over 14 million PubMed abstracts revealed measurable shifts in word frequency following the rise of LLM use. While many precise, technical nouns faded, terms like 'delves' and 'showcasing' surged. The shift is not random; it's a statistically driven flattening of language, where standard, action-oriented, or stylistic terms are promoted, and specificity is sidelined. Some researchers link this to a broader problem known as 'model collapse.' As AI models are increasingly trained on synthetic data, including their outputs, they may degrade over time. This leads to a feedback loop where less diverse, less semantically rich language becomes the norm. The result is a measurable reduction in lexical, syntactic, and semantic diversity—the very fabric of meaning and precision. The implications are vast. If AI systems are deprioritizing nouns at scale, then the structures we use to hold ideas—people, places, identities, and concepts—are being eroded. In real time, we are watching the grammatical infrastructure of human thought being reweighted by machines that do not think. The erosion of language precision has significant implications for businesses, particularly those that rely on storytelling, branding, and effective communication. Brands are built on narrative consistency, anchored by nouns, identities, and associations that accumulate cultural weight over time. However, as AI systems normalize probabilistic language and predictive phrasing, even brand voice becomes a casualty of convergence. Differentiation erodes—messaging blurs. Trust becomes more complicated to earn and more uncomplicated to mimic. As this Forbes piece outlines, there are serious reasons why brands must be cautious with generative AI when it comes to preserving authenticity and voice. Marketers may find themselves fighting not for attention but for authenticity in a sea of synthetic fluency. Moreover, AI-powered content platforms optimize for engagement, not meaning. Businesses relying on LLMs to generate customer-facing content risk flattening their uniqueness in favor of what's statistically safe. Without human oversight, brand language may drift toward the generic, the probable, and the forgettable. Resist the flattening. Businesses and individuals alike must reclaim intentionality in language. Here's how—and why it matters: If you don't define your brand voice, AI will average it. If you don't protect the language of your contracts, AI will remix it. If you don't curate your culture, AI will feed it back to you—statistically safe but spiritually hollow. Friction isn't a flaw in human systems—it's a feature. It's where meaning is made, thought is tested, and creativity wrestles with uncertainty. Automation is a powerful economic accelerant, but without deliberate pauses—without a human in the loop—we risk stripping away the qualities that make us human. Language is one of those qualities. Every hesitation, nuance, and word choice reflects cognition, culture, and care. Remove the friction, and you remove the humanity. AI can offer speed, fluency, and pattern-matching, but it can't provide presence, and presence is where meaning lives. Emily M. Bender, a professor of computational linguistics at the University of Washington, has emerged as one of the most principled and prescient critics of large language models. In her now-famous co-authored paper, "On the Dangers of Stochastic Parrots," she argues that these systems don't understand language—they merely remix it. They are, in her words, 'stochastic parrots': machines that generate plausible-sounding language without comprehension or intent. Yet we're letting those parrots draft our emails, write our ads, and even shape our laws. We're allowing models trained on approximations to become arbiters of communication, culture, and identity. This is not language—it's mimicry at scale. And mimicry, unchecked, becomes a distortion. When AI outputs are mistaken for understanding, the baseline of meaning erodes. The problem isn't just that AI might be wrong. It's that it sounds so right, we stop questioning it. In the name of optimization, we risk erasing the texture of human communication. Our metaphors, our double meanings, our moments of productive ambiguity—these are what make language alive. Remove that, and a stream of consensus-safe, risk-averse echo remains. Functional? Yes. Meaningful? Not really. The stakes aren't just literary—they're existential. If language is the connective tissue between thought and reality, and if that tissue is replaced with statistical scaffolding, thinking becomes outsourced. Once sharpened by friction, our voices become blurred in a sea of plausible phrasings. Without intersubjectivity, friction, or nouns, we are scripting ourselves out of the story, one autocomplete at a time We are not being silenced. We are being auto-completed. And the most dangerous part? We asked for it. Before we ask what AI can say next, we should ask: What has already gone unsaid? In this quiet war, we don't lose language all at once. We lose it word by word—until we forget we ever had something to say. I asked brand strategist and storyteller Michelle Garside, whose work spans billion-dollar brands and purpose-driven founders, to share her perspective on what's at risk as automation flattened language. Her response was both precise and profound: When it comes to language and AI, that's the line to carry forward—not just because it sounds good, but because it's true.
Yahoo
02-05-2025
- Sport
- Yahoo
🤖 AI vs Humans: Predicting the results of Premier League Matchday 35
🤖 AI vs Humans: Predicting the results of Premier League Matchday 35 Let us know your predictions in the comments! Last week, we pitted our special guest - frontman of The Florentina's Paddy Boyd - against an AI to see who could most accurately predict the results of Premier League matchday 34. Advertisement Paddy had a strong week, correctly calling Newcastle's 3-0 win over Ipswich, along with five correct results. But he was matched by the A, who correctly predicted Fulham's 2-1 win at Southampton, plus five correct results of its own. That leaves the scores (three points for a correct score and one point for a correct result) at 229-200 in the AI's favour after 34 rounds of games this season. Let's see if this week's special guest, frontman of indie legends The Farm and Liverpool fan Peter Hooton, can get the human race caught up. Watch the video to find out what Peter and the AI went for in the three biggest matches of the weekend; Manchester City v Wolves, West Ham v Tottenham and Chelsea v Liverpool. 'Moment In Time' by The Farm is out now. Follow them on Instagram Here are the matchday 35 predictions in full... Manchester City v Wolves AI 🤖 3-1 Advertisement The Farm 🎸 2-1 Aston Villa v Fulham AI 🤖 2-1 The Farm 🎸 2-1 Everton v Ipswich AI 🤖 2-0 The Farm 🎸 2-0 Leicester v Southampton AI 🤖 1-1 The Farm 🎸 1-1 Arsenal v Bournemouth AI 🤖 3-1 The Farm 🎸 2-1 Brentford v Manchester United AI 🤖 1-2 The Farm 🎸 2-1 Brighton v Newcastle AI 🤖 2-2 The Farm 🎸 2-2 West Ham v Tottenham AI 🤖 1-2 The Farm 🎸 1-1 Chelsea v Liverpool AI 🤖 2-2 The Farm 🎸 2-2 Crystal Palace v Nottingham Forest AI 🤖 1-0 The Farm 🎸 2-1
