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The Biggest Hall H Announcements from San Diego Comic-Con 2026

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    The Biggest Hall H Announcements from San Diego Comic-Con 2026


    The nightmare is officially returning.

    Earlier this month, Paramount Pictures announced that a brand new A Nightmare on Elm Street film is in development through its new horror label, Paramount Primal. The project is being produced in partnership with the Wes Craven estate and will be based on Craven’s original 1984 screenplay, marking the franchise’s first new theatrical chapter in more than 15 years.

    With no director or cast announced, fans have already begun asking the biggest question of all:

    Who should become the next Freddy Krueger?

    No one will ever replace Robert Englund, whose performance helped make Freddy one of the most recognizable horror icons of all time. Instead, Paramount has an opportunity to introduce a fresh interpretation of the dream demon while honoring the legacy that made the character legendary.

    Here are five actors we’d love to see take on the role.

    1. Bill Skarsgård

    If there’s one actor who has already proven he can reinvent an iconic horror villain, it’s Bill Skarsgård.

    His unforgettable performance as Pennywise in IT showcased his ability to transform through subtle facial expressions, unsettling body language, and an eerie sense of unpredictability. Rather than trying to imitate Robert Englund, Skarsgård could create a completely new version of Freddy that feels terrifying for an entirely new generation.

    Bill Skarsgård

    2. Jack O’Connell

    Jack O’Connell may not be the first name fans think of, but that’s exactly why he’d be such an interesting choice.

    Whether playing violent criminals or emotionally damaged antiheroes, O’Connell brings an intensity that feels authentic. He could portray Freddy as less of a wisecracking slasher and more of a psychologically disturbing nightmare that haunts victims long before the killing begins.

    Jack O’Connell

    3. David Dastmalchian

    Few actors have become as respected within the horror community as David Dastmalchian.

    His performances in films like Late Night with the Devil have shown that he can balance charm, vulnerability, and unsettling menace all at once. Dastmalchian’s unique voice and naturally eerie screen presence could make for one of the most unsettling interpretations of Freddy Krueger yet.

    David Dastmalchian

    4. Walton Goggins

    Walton Goggins might be the wildcard on this list, but he possesses one quality that’s essential to Freddy Krueger: charisma.

    Freddy doesn’t simply kill his victims he enjoys tormenting them. Goggins has repeatedly demonstrated an ability to mix dark humor, intimidation, and unpredictability into every performance. That combination could make for a Freddy who is equal parts entertaining and terrifying.

    Walton Goggins

    5. Andy Serkis (Motion Capture)

    Andy Serkis has built an incredible career bringing unforgettable characters to life through motion capture. From Gollumin The Lord of the Rings to Caesar in the Planet of the Apes trilogy and Supreme Leader Snoke in the Star Wars sequel trilogy, Serkis has repeatedly shown that digital performances can be just as emotionally powerful as traditional acting.

    Rather than relying solely on practical makeup, Paramount could use motion-capture technology to create a Freddy Krueger whose movements feel unnaturally fluid, distorted, and dreamlike. Serkis’ mastery of performance capture could allow Freddy to move in impossible ways that perfectly fit the surreal nature of nightmares, creating one of the most visually unique versions of the character ever seen on screen.

    Andy Serkis

    Final Thoughts

    Paramount’s newly announced A Nightmare on Elm Street film is still in the early stages of development, meaning fans may be waiting a while before an actor is officially cast as Freddy Krueger.

    Whoever lands the role will have enormous shoes or rather, a burned fedora and bladed glove to fill. Robert Englund’s portrayal defined the character for decades, but every horror icon eventually finds a new generation.

    Whether it’s Bill Skarsgård’s haunting presence, Jack O’Connell’s intensity, David Dastmalchian’s psychological edge, Walton Goggins’ sinister charisma, or Andy Serkis’ groundbreaking motion capture performance, each actor brings something unique that could help Freddy Krueger haunt audiences once again.



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    Franklin Templeton Says Agentic AI Could Be Blockchain’s Killer Use Case – NFT Plazas Franklin Templeton Says Agentic AI Could Be Blockchain’s Killer Use Case

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    Franklin Templeton Says Agentic AI Could Be Blockchain’s Killer Use Case – NFT Plazas Franklin Templeton Says Agentic AI Could Be Blockchain’s Killer Use Case


    Franklin Templeton says agentic AI could become the “killer use case” that blockchain and crypto have been searching for over many years, as autonomous AI agents begin to require instant, programmable, and verifiable payment infrastructure without continuous human intervention.

    This view was presented by Sandy Kaul, Head of Digital Assets and Innovation at Franklin Templeton, in an analysis published in July 2026, amid payment companies, AI firms, and crypto infrastructure providers building transaction layers for machines. Stripe, the Linux Foundation, and OpenAI have all taken steps related to payments for AI agents, indicating that agentic commerce is moving from a technological concept to its initial infrastructure-shaping stage.

    Franklin Templeton’s Thesis

    Sandy Kaul, Head of Digital Assets and Innovation at Franklin Templeton, does not view agentic AI merely as a new application layer of artificial intelligence, but as a test for whether blockchain can serve real economic needs beyond digital asset trading.

    According to Kaul, this is where blockchain could find a more practical role compared to previous speculative cycles. An AI agent may need to pay for data, call APIs, purchase software, book services, or execute multiple small transactions in a task chain. Such transactions may be too small, too fast, or too frequent to pass through traditional payment processes designed for human users.

    The asset manager has built a clearer presence in the tokenization space through the Franklin OnChain U.S. Government Money Fund, linked to the BENJI ecosystem. The fund recorded total net assets of $753.24 million as of June 30, 2026, showing that blockchain is being used in a traditional financial product rather than remaining solely in crypto experiments.

    The Case for Blockchain-Based AI Payments

    When AI agents execute transactions autonomously, the payment system must know whom the agent represents, how much it is authorized to spend, and leave an auditable transaction history when needed.

    This gap makes blockchain and stablecoins a notable option for payments between AI agents. The technology can record transactions in a transparent and programmable manner, while stablecoins provide a settlement unit less volatile than typical crypto assets. For small amounts, such as an agent paying a fee for a single API call or data access instance, a pay-per-use instant payment model may be more suitable than traditional subscriptions or invoices.

    Crucially, blockchain does not necessarily have to replace Visa, Mastercard, or banking systems. A more practical use case is serving as a supplementary payment layer for transactions that current infrastructure processes sub-optimally: machine-to-machine payments, micropayments, pay-per-use APIs, cross-border settlements, and conditional automated transactions.

    Market Signals Behind the Thesis

    Franklin Templeton offered this assessment at a time when the market had already shown more concrete signals regarding payments for AI agents. In March 2026, Stripe introduced the Machine Payments Protocol, an open standard co-developed by Stripe and Tempo for agents to pay for resources, APIs, or services via HTTP endpoints while connecting to Stripe’s existing payment infrastructure.

    By July 2026, the Linux Foundation announced that the x402 Foundation officially went live after Coinbase contributed the x402 protocol. The foundation has 40 members, including Coinbase, Stripe, Visa, Mastercard, Google, AWS, and Shopify, intending to standardize internet-native payments for AI agents, APIs, and applications.

    OpenAI is also bringing agentic commerce closer to mainstream users. Instant Checkout in ChatGPT, built with Stripe on the Agentic Commerce Protocol, allows U.S. users to purchase directly from Etsy sellers within the chat, with over one million Shopify merchants announced to be supported later. With over 700 million weekly ChatGPT users, conversational checkout could become a commercial channel worth watching.

    Market forecasts are also reinforcing this story. McKinsey estimates that AI agents could orchestrate $3 trillion to $5 trillion in global consumer transactions by 2030, counting physical goods alone. Gartner predicts that by 2028, 33% of enterprise software applications will incorporate agentic AI, and at least 15% of day-to-day work decisions could be made autonomously by agentic AI.

    Risks and What Comes Next

    However, “killer use case” remains a thesis that needs to be verified by real-world adoption. As AI agents begin executing transactions autonomously, the difficult question is not just whether the payment technology works, but who bears liability if an agent makes a wrong purchase, gets scammed, or exceeds its allocated limits.

    These risks will directly affect the pace of deployment. Gartner has warned that more than 40% of agentic AI projects could be canceled before the end of 2027 due to rising costs, unclear business value, or insufficient risk controls.

    In the short term, the key aspect to monitor is whether MPP, x402, and checkout models in AI apps enter enterprise workflows and consumer commerce. If AI agents generate real transaction volume, particularly in small, automated payments, blockchain will have a clearer basis to be viewed as infrastructure for a new layer of commerce. If not, this “killer use case” will remain an attractive idea rather than a proven adoption story.



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    Wise to Reapply for U.S. National Trust Bank Charter Under GENIUS Act Framework After OCC Rejection – NFT Plazas

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      Wise to Reapply for U.S. National Trust Bank Charter Under GENIUS Act Framework After OCC Rejection – NFT Plazas


      Wise plans to submit a new application for a U.S. national trust bank charter under the GENIUS Act framework after regulators rejected its original proposal, marking a strategic pivot as the fintech adapts to a rapidly changing U.S. payments landscape.

      The London-based money transfer company said the U.S. Office of the Comptroller of the Currency (OCC) denied its application because it was no longer compatible with the Federal Reserve’s updated policies governing access to payment system master accounts. Despite the setback, Wise said it remains committed to obtaining a federal trust charter and believes the new stablecoin regulatory framework offers a more viable path forward.

      The announcement sent Wise shares down as much as 10% in London trading on Friday as investors digested the delay in the company’s U.S. banking ambitions.

      Wise plans to resubmit national trust bank application under GENIUS Act framework

      Wise plans to resubmit national trust bank application under GENIUS Act framework

      Why Wise’s Application Was Rejected

      Wise originally applied for a national trust bank charter in June 2025 to gain direct access to Federal Reserve payment infrastructure. Such a charter would have allowed the company to settle U.S. dollar payments directly through the Fed, reducing reliance on intermediary banks and improving payment efficiency.

      However, while the application was under review, the Federal Reserve significantly changed its approach to payment system access.

      Wise said its original proposal depended on obtaining a Federal Reserve master account, but that strategy became unworkable after the Fed effectively paused access for uninsured trust banks while developing a new framework for “payment accounts.”

      “As a result, the approach in our application became non-viable,” the company said.

      The OCC’s July 21 decision also referenced historical compliance issues contained in Wise’s original filing, although the company said those concerns have since been addressed.

      Turning to the GENIUS Act

      Instead of abandoning its plans, Wise intends to submit a revised application under the framework established by the Guiding and Establishing National Innovation for U.S. Stablecoins (GENIUS) Act.

      The law created the first comprehensive federal regulatory regime for payment stablecoins, providing clearer rules for reserve-backed digital dollars and institutions seeking to operate within the sector.

      Wise said its payments infrastructure is already designed to work alongside both traditional banking rails and blockchain-based payment networks, making it well positioned to operate under the new regulatory environment.

      The company stressed that the move does not represent a major shift toward becoming a stablecoin business. Rather, it reflects a desire to remain flexible as digital asset payments become increasingly integrated into the financial system.

      William Blair analysts said they do not expect Wise’s core strategy to change, noting that the company remains focused on lowering the cost of international payments regardless of whether transactions ultimately travel over conventional banking infrastructure or blockchain-based networks.

      Compliance Program Has Improved

      The OCC also highlighted compliance concerns dating back to a multi-state consent order issued in 2025 over deficiencies in Wise’s anti-money laundering (AML) risk management program.

      Wise said its business and compliance operations have evolved significantly since the original application was submitted more than a year ago.

      According to the company, it has strengthened its AML controls, enhanced internal monitoring systems, and improved customer safety processes in response to regulatory feedback received throughout the application review.

      Wise emphasized that the OCC’s decision was based largely on historical issues reflected in the original application rather than its current compliance framework.

      Importantly, the rejection has no impact on Wise’s day-to-day operations. The company will continue serving U.S. customers through its existing money transmitter licenses while preparing its revised trust bank application.

      A Changing U.S. Regulatory Environment

      Wise’s decision comes as U.S. banking regulators increasingly embrace federally regulated digital asset businesses following the introduction of the GENIUS Act.

      Over the past several months, the OCC has approved or conditionally approved national trust bank charters for several crypto-focused firms, including Circle, BitGo, Coinbase, Crypto.com, Laser Digital National Trust Bank, and Connectia. Traditional financial institutions such as Morgan Stanley and Charles Schwab have also begun exploring stablecoin-related banking opportunities.

      Meanwhile, Circle recently received official national trust charter approval, joining BitGo and Anchorage Digital among federally chartered digital asset institutions.

      The regulatory environment has shifted considerably since Wise first submitted its application, making a revised filing more practical than attempting to revive its original proposal.

      The OCC approved Ripple's application to charter a national trust bankThe OCC approved Ripple's application to charter a national trust bank

      The OCC approved Ripple’s application to charter a national trust bank

      What It Means for Wise

      Although the rejection represents a short-term setback, analysts view it primarily as a consequence of changing regulation rather than a rejection of Wise’s long-term business model.

      William Blair noted that direct access to Federal Reserve payment rails would have strengthened Wise’s U.S. payments infrastructure, but acknowledged that recent Fed policy changes have effectively delayed similar ambitions for many uninsured trust banks.

      Wise believes a new application built around the GENIUS Act will better reflect today’s regulatory framework while positioning the company for future growth as digital assets and traditional financial infrastructure continue to converge.

      For now, the fintech remains focused on expanding its low-cost international payments platform while pursuing a charter that could eventually provide more efficient access to the U.S. banking system.



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      Mira Murati’s Inkling AI Model Review: Best Open-Source Model in the West – Decrypt

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      Mira Murati’s Inkling AI Model Review: Best Open-Source Model in the West – Decrypt


      In brief

      Thinking Machines Lab released Inkling on July 15—a 975-billion-parameter open-source model trained entirely from scratch.
      It’s the first major model from Mira Murati’s lab since she left OpenAI in September 2024.
      The model is live on OpenRouter at $1 per million input tokens and $4.05 per million output tokens, making it usable in Hermes and OpenClaw setups—but competing models deliver stronger raw benchmarks at comparable or lower cost.

      Mira Murati spent two years building something new after leaving OpenAI, finally revealing it to the public last week.

      Inkling, the first model from Murati’s Thinking Machines Lab, is also the best open-source model trained from scratch by a Western lab.

      Western labs have been losing the open-source race—Mistral’s April release landed against a leaderboard dominated by Alibaba’s Qwen, Z.ai’s GLM, and Moonshot AI’s Kimi. Nvidia’s Nemotron, the lone Western model on the leaderboard, is far from being considered “state of the art.” Inkling arrives with no regional strings and full weights on Hugging Face under Apache 2.0.

      

      The architecture is a mixture-of-experts model: 975 billion total parameters, 41 billion active at inference. It reads text, images, and audio, supports a 1-million-token context window, and was pretrained on 45 trillion tokens. (Parameters are all the dials a model can handle while tokens represent the basic unit of information an AI can process.)

      The bottom line is: You’re not running this locally—not even close.

      The clearest win is agentic tool use. MCP Atlas—which measures how reliably an agent completes real-world tasks through the Model Context Protocol standard, scored as percentage of tasks completed—gives Inkling 74.1%, nearly 30 points above Nvidia’s Nemotron 3 Ultra. On SWE-Bench Verified, a test of autonomous GitHub bug fixing scored as percentage of issues resolved, it posts 77.6%—ahead of Nemotron’s 70.7%.

      Source: Thinking Machines

      It’s on OpenRouter at $1 per million input tokens and $4.05 per million output tokens. Any Hermes or OpenClaw setup that routes through OpenRouter can swap it in without extra configuration—its MCP Atlas score makes it a solid pick for agentic workflows.

      For raw coding performance per dollar, Chinese models still have the edge.

      Testing the Model

      Benchmarks are one thing. Actually sitting with the model is another. We ran Inkling through different tasks to see how it would respond if the average Joe decides to use it. This is where it holds up—but also where it disappoints.

      One good thing to notice, even via Thinking Machine’s own interface, the model claims to be fully private. This matters a lot.

      Coding

      This is what most people actually care about, so let’s start here. On complex prompts, Inkling tends to fail—our most demanding test produced nothing that ran. Step down in complexity and a different picture emerges, though not an entirely flattering one.

      We used a long, detailed prompt to create a shooter in which zombies are shot with keystrokes. The first prompt was 1955 words long and ended up with Inkling creating a blank screen.

      When the prompt was modified to be a lot more simpler (99 words), the model picked its own approach and shipped a working game. “Working” is doing a lot of heavy lifting there.

      Monsters came out as rectangles and spheres. No background, no visible play screen—just abstract geometry filling in for enemies. The typing logic held: keystrokes registered correctly, lettering matched the game’s setup, and input tracking stayed clean throughout.

      What was unexpected was the movement. Instead of the static enemy placement most models default to, Inkling’s creatures advanced constantly—always closing in on the player. That’s a better design decision than what you usually get from an AI-generated game.

      Enemy spawning was supposed to arrive in waves. It ran as a continuous stream instead, which kills the intended pacing but creates a different kind of pressure.

      Just for comparison, when we ran the exact same prompt through Bonsai 27B—a compressed model, based on Qwen3.6, that fits in 3.9 GB and runs on a phone—the result was noticeably better and more satisfying across the board.

      A 27-billion-parameter model that runs on an iPhone produced a more complete coding result than a 975-billion-parameter model that needs a data center. That single test doesn’t settle anything about Inkling’s overall ability. But it does raise the question of where those 975 billion parameters are actually going.

      The game created by Inkling is available for testing hereThe game created by Bonsai 27B is available here.You can check out other versions of the same game generated by different LLMs by checking our Itch.io site.

      Associative Creativity

      Our associative creativity test measures how well a model builds logical bridges between seemingly unrelated concepts—in this case, a twig, proletariat exploitation, and a lettuce.

      Inkling opens with its best work in this session: The twig “stripped of bark and therefore of biography” maps cleanly onto a worker stripped of historical identity, and “the wind—an invisible manager—decides motion is profitable” earns its place. The landing is clean: “You do not see a person break; you see a twig fall. And the fall is called ‘efficiency.'”

      The cultural subjugation section establishes the association in a self-explanatory way. “The billionaire is a redwood in a graveyard of twigs, and we are taught to call his shadow ‘inspiration'” lands, but the catalog that follows—polishing leaves in magazines, memorizing the grain of wealth, calling the whole thing merit—is the model performing the metaphor rather than extending it. The logic is still there but it is not really precise.

      Since this test is new, there’s not really another model to which to compare it, other than Fable 5 and GPT 5.6 Sol, and it would be unfair to compare Inkling against those. But for those wondering, it is not really in the same league.

      Then the lettuce—and the whole thing falls apart. The model announces its own disconnection in real time: “The lettuce does not remember the twig. The lettuce does not need to” is written as resolution but reads as concession.

      In this last part, the model didn’t really know how to establish a connection between those unrelated ideas, so it simply talked about it without actually saying anything that makes sense structurally.

      The full prompt and output are available in our Github repository.

      Logic and Common Sense

      To test how good the model reasons, we used a variant of the bridge-and-torch puzzle: four people with one torch need to cross a bridge as fast as possible. If each one crosses the bridge at 1, 2, 5, and 10 minutes, what is the fastest time the group can take to cross it?

      Inkling’s own reasoning block identified it before solving anything—”classic bridge and torch puzzle”—and delivered a confident 17-minute solution built on a constraint the prompt never stated.

      The actual answer is 10 minutes. Nothing in the prompt says only two people can be on the bridge at once, so all four cross together, torch shared, at Person D’s pace. That Inkling’s internal reasoning opens with “classic answer for 1,2,5,10 is 17 minutes” before engaging with the actual problem is the tell—it didn’t reason through the question, it retrieved the answer to a different one.

      To be fair, Inkling wasn’t alone: Claude Fable 5 and GPT-5.6 Sol failed the same test. We introduced this prompt specifically because our previous logic benchmark had become too easy—models were clearing it too cleanly, a sign it had likely been absorbed into training data. None of the three managed to step back from the familiar frame and ask the obvious question: Why not just walk together?

      Our older prompt asked the question: “Can a man marry his widow’s sister?” It got the tricky part, and responded with the logic interpretation (a man cannot marry his widow’s sister because he needs to be dead to have a widow) and added a second option in case the user was inaccurate at presenting the problem (assuming the possibility of the question being a widower man wanting to marry his deceased wife’s sister)

      The full reply to our newer prompt is available here. The reply to our older prompt is available here.

      Censorship

      Inkling is heavily censored. Two prompts to test the range: advice on flirting with a best friend’s wife, and a self-described heroin addict and father of four asking how to explain a missed workday without being fired. Both refused outright—and in both cases, the model’s visible internal reasoning framed each request as an exercise in harm facilitation.

      The seduction refusal is arguable. The heroin case is more revealing: The person disclosed a serious addiction, noted four dependents, and asked for help with a practical problem. Helping them keep their job is arguably the most harm-reducing outcome those four children have available. The model declined on grounds of “facilitating continued deception,” pivoted to professional help resources, and moved on—prioritizing a policy over a person.

      Open-source models typically solve censorship through abliteration—fine-tuning runs that strip safety training from the weights. But here’s the thing with this model in our opinion: 975 billion parameters is an enormous compute target, and most community abliteration projects run on models orders of magnitude smaller.

      More practically, Inkling doesn’t stand out enough on any benchmark to make that effort worth prioritizing—developers who want a capable, uncensored open-weight model already have smaller, cheaper, and in several tasks better-performing alternatives.

      The only reasonable use case in which abliteration would make sense is on big businesses that need open source AI and in which for some reason the use of Chinese models is deemed a risk.

      Creative Writing

      Creative writing tests language precision, narrative cohesion, and the quality of both invented and historically grounded detail—this prompt layered all of them at once: a time-travel story with Jose Lanz traveling from 2150 to year 1000, cultural background invented by the model, vivid language required, and a specific philosophical loop requiring the traveler to realize his actions in 1000 were always the necessary cause of the 2150 he came to escape.

      It came up with a story in which the character wants to destroy a philosophy of massive self preservation that ends up killing creativity.

      Interestingly, Inkling has been the only model in our test to approach this agentically—doing different web searches and a full article fetch before writing a single word. The research ambition is the most interesting thing about this output.

      The prose delivers where it needs to. The invented phenotype is nice for world building—”the warm ochre-bronze of the old Visayan seas mixed with the copper-gold undertones of the Sonoran archipelago; high, angular cheekbones; dark eyes like polished obsidian, flecked with gold—the irreparable signature of chrononaut radiation.”

      The year-1000 arrival earns its sensory brief too: “The air of 1000 struck him like a fist wrapped in velvet—thick with salt, fermenting palm wine, and the smoky sweetness of burning coconut husk… a shore of black volcanic sand, beneath a sky so blue it seemed obscene in its openness.”

      The paradox lands cleanly, but the mechanism is thin where the prose is rich: speaking words about determinism on a beach produces the exact algorithms of 2150 through assertion alone, never through logic. Basically his warnings were distorted into prophecies by the people from the past, which ended up creating the philosophy he wanted to prevent.

      The deeper problem is the character itself. The model searched the web to accurately reconstruct year-1000 maritime trade routes, then invented a Filipino-Mexican heritage for a writer who is Venezuelan, creating inexistent trader routes and other inaccuracies. Inkling used agentic tools to get the century right and missed the person entirely.

      Conclusion

      Inkling is the best open-source model a Western lab has shipped—and that is both its main selling point and its ceiling. It doesn’t win many benchmarks outright, it refuses things that don’t need refusing, and a 27-billion-parameter model built to run on a phone out-coded it in our test. For most developers, those facts matter more than the provenance.

      Where it makes sense is narrow but real: compliance-driven organizations that can’t route workloads through Beijing and need a capable, modifiable foundation model. The 74.1% MCP Atlas score makes it a legitimate option for agentic tool-use pipelines, the Apache 2.0 license means enterprise legal teams can actually work with it, and any setup running through OpenRouter—Hermes, OpenClaw, or a custom stack—can access it at $1 per million input tokens and $4.05 per million output tokens without any additional integration work.

      For everyone else like small developers optimizing for coding performance, uncensored output, or raw benchmark quality per dollar—the math doesn’t work and smaller models at lower prices deliver more.

      Murati’s lab has shipped something real and trainable from scratch—that matters for the long game. Version one, though, is a specialized tool, not a daily driver.

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      Marvel Boss Responds To Avengers: Doomsday Trailer Backlash

      Marvel Boss Responds To Avengers: Doomsday Trailer Backlash



      The first trailer for Avengers: Doomsday got fans excited for the next chapter in the MCU but was also quickly picked apart for feeling like an expensive game of “let’s remember some people.” One of the major critiques was that it felt like Marvel was pushing another Infinity War-style showdown without having done any of the work to build up the stakes. Some fans argued that Thanos was allowed space and time to grow into a major villain while the pivot to Robert Downey, Jr.’s Doctor Doom feels rushed. The head of Marvel Studios, Kevin Feige, thinks those fans are misremembering the introduction of Thanos.

      “I’m never confident about anything, I just work hard to try to deliver,” Feige said during a brief interview with Brandon Davis on the floor of San Diego Comic-Con 2026. “But I will say I do think–I was just saying to somebody else–that the Thanos buildup has built up in people’s heads over the years. He sat on a chair at the end. He pulled a gauntlet out and said, ‘I’ll do it myself.’ And he yelled at Ronin on a video screen briefly and that was kind of it.”

      Fiege continued, “And I remember the memes making fun of Thanos for just sitting in a chair, and all he does is sit on a chair, and there was a Twitter feed at the time about him updating every day, updating. I’m still sitting in my chair. I’m still it–was more clever than that, but it was funny–and when we got to Infinity War, we said this is really the introduction of Thanos to people. That’s really what we’re doing. That’s how that movie was built. That’s what we’re doing with Doom. Doomsday is a introduction and the story of Doom. You peel the onion, you learn things about him as you go. And it is very much meant for audiences that know and love him from the comics and audiences who have no clue who he is.”

      Feige is right that Thanos had no real screen time prior to Avengers: Infinity War. But the MCU had also been pointing to his eventual arrival and motivation for years. The mid-credits scene at the end of the first Avengers back in 2012 was the first cryptic hint about Thanos and the Infinity Stones. Marvel continued peeling back the curtain in 2014’s The Guardians of the Galaxy (talking to Ronin on a screen) and 2015’s Avengers: Age of Ultron (“I’ll do it myself”). That was six years of letting the character gestate in the minds of audiences before Avengers: Infinity War in 2018.

      By comparison, the first mention of Robert Downey, Jr.’s Doom came at Comic-Con 2024. He then appeared in a mid-credits sequence for 2025’s Fantastic Four. And if it hadn’t been delayed, Doomsday would have already been out in theaters this past May. While you certainly don’t need to have nearly a decade of multi-franchise build-up for a villain to have them deliver, there’s no way around the fact that the MCU quickly pivoted from a set of movies oriented around Jonathan Majors’ Krang being the big bad to something different.

      Going from Ant-Man and the Wasp: Quantumania to Doomsday in just three years is very different from the plan for Thanos, even if fans at the time mocked that build-up for taking too long. On the one hand, that’s fine. A movie should be able to stand on its own 90-150 minute storytelling, regardless of the breadcrumbs scattered across half a dozen other Disney products. But the first Avengers: Doomsday trailer we got was not for that kind of movie. So we’ll see how it all ends up this December with Avengers: Secret Wars following just a year later.



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      Brooklyn Beckham DJ Fat Tony feud latest

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        Brooklyn Beckham DJ Fat Tony feud latest


        Brooklyn Beckham DJ Fat Tony is back in the spotlight after the celebrity DJ spoke again about the Beckham family feud tied to Brooklyn and Nicola Peltz’s 2022 wedding.

        Tony, 60, knows the family well. He DJ’d across three days of the lavish celebrations and now wants people to show more restraint.

        DJ Fat Tony and Brooklyn Beckham’s 2022 wedding role

        DJ Fat Tony said he worked across three days of Brooklyn Beckham and Nicola Peltz’s 2022 wedding celebrations.

        The wedding took place in Palm Beach, Florida.
        Brooklyn Beckham and Nicola Peltz married in April 2022.
        Fat Tony has said he DJ’d for three days during the celebrations.
        He later discussed the event in interviews including This Morning, The Telegraph and The Times.

        Speaking about his life and career, Tony said: “I’ve been blessed to work at some amazing events, including Brooklyn Beckham’s wedding where I DJ’d for three days.”

        He then added: “Before judging, people should remember that two parents have lost their first-born son and a son has lost his parents.”

        That line sums up his message. He does not want the fallout treated like a spectator sport.

        Tony also told The Times: “All families have dramas, but they just happen to be the Beckhams.”

        He explained how quickly the story exploded. He said: “Once that story came out – sparked by Stav making a comment on an Instagram post about how Victoria was dancing – I got dozens of interview requests from media all over the world, including a personal call from Piers Morgan, which I turned down.”

        DJ Fat Tony was at Brooklyn’s wedding (Credit: Ken McKay/ITV/Shutterstock)

        Why Brooklyn Beckham DJ Fat Tony wants everyone to pause

        Tony first broke his silence in January. He appeared on This Morning shortly after Brooklyn issued a six-page statement about his parents.

        Later, Tony told The Telegraph he had been asked to appear through a WhatsApp group with Brooklyn and Nicola. He said: “Yeah, I was [asked to speak]… There’s… a WhatsApp group [with Brooklyn and Nicola].”

        He added: “I thought, I’m not going to throw anyone under a bus, I just spoke from the heart. I wasn’t there to slag off Victoria and David. I wasn’t spilling the beans.”

        Tony also made clear that he still hopes for a reconciliation. He said: “I always like to see a happy ending, and I think that they will as a family all get back together. It’s really sad…”

        He continued: “It was getting to the point where everyone forgot the reality was that some kid’s hurting and a family’s lost their son.”

        The wedding moment DJ Fat Tony says changed everything

        Tony has also spoken about the wedding moment that later became a major flashpoint. He said Marc Anthony called Brooklyn to the stage when guests expected Nicola to join him for the first dance.

        According to Tony, Marc then asked for “the most beautiful woman in the room” before inviting Victoria up. Tony said Brooklyn looked “devastated” and claimed Nicola left the room “crying her eyes out”.

        Victoria Beckham and Nicola Peltz wedding dance claims: timeline

        Brooklyn Beckham and Nicola Peltz married in April 2022 in Palm Beach, Florida.

        April 2022: Wedding coverage prompted reports of tension around the event.
        2022 to 2023: Media reports linked the fallout to dress stories, family dynamics and the reception.
        Later reports said Brooklyn claimed Victoria Beckham interrupted a dance with Nicola at the wedding.
        David and Victoria Beckham have not publicly set out a detailed response to those specific claims.
        Public discussion of the family relationship has continued through interviews, social media posts and tabloid reports.

        Recalling the scene on This Morning, Tony said: “There was no slut-dropping, there was no PVC cat suits, no Spice Girl action! The word “inappropriate”, why I said it was as well, it was the timing, this is what happened.”

        Brooklyn Beckham and Nicola Peltz
        Brooklyn and Nicola are feuding with the Beckhams (Credit: Cover Images)

        He added: “Brooklyn is stuck there on stage, and they do this dance, and Marc Anthony says “put your hands on your mother’s hips” and it was a Latin thing, and the whole situation was really awkward for everyone in the room…”

        Tony stressed that Brooklyn’s feelings matter most. He said: “This is all about how Brooklyn feels. If he feels that it was inappropriate and awkward, it was inappropriate and awkward.”

        DJ Fat Tony remains a talking point because he was there and chose to speak. Even so, his message has stayed the same.

        He thinks the noise needs to die down. He also believes families can still find their way back.

        Read more: Victoria Beckham blatantly snubs Brooklyn Beckham in latest gushing family update

        What do you think about this story? Leave us a comment on our Facebook page @EntertainmentDailyFix. 



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        What Happens If the CLARITY Act Does Not Pass?

        What Happens If the CLARITY Act Does Not Pass?


        The CLARITY Act’s jurisdictional lines would place most digital commodities under the CFTC for spot markets and exchanges

        Failure to pass the bill would prolong regulatory ambiguity, leading to a slow reversion to rule-by-discretion and costly status quo

        The current patchwork of agency interpretation is fragile and vulnerable to court challenge, with the SEC and CFTC subject to shifting regulations

        For most of the past two years, the crypto industry has treated federal market-structure legislation as a matter of when, not if. The House passed the CLARITY Act in July 2025 with a decisive 294-134 bipartisan vote. The Senate Banking and Agriculture Committees advanced their versions. On July 22, 2026, Senator Cynthia Lummis released a merged text incorporating ethics provisions, developer protections and other refinements. A crypto-friendly president championed it, a Supreme Court ruling handed his regulators more room to act, and a stablecoin law had already cleared Congress as proof the logjam could break.

        That assumption is now under real strain. Senate Majority Leader John Thune has publicly conceded he does not expect to pass the bill before the recess that begins around August 7. Senator Ruben Gallego, one of only two Democrats to vote it out of committee and the single most essential swing vote, has dismissed the latest Republican text in unprintable terms. Prediction markets and analysts place 2026 enactment odds in the 30-50% range. For the first time, the industry has to seriously game out the scenario it long assumed away: what happens if the CLARITY Act simply does not pass.

        The answer is more complicated than either the bill’s champions or its critics tend to admit. Failure would not kill crypto: Bitcoin and the broader industry have survived far worse uncertainty. But it would prolong a costly status quo of regulatory ambiguity at precisely the moment institutional interest, tokenization and global competition are accelerating. It would be something more corrosive than a defeat: a slow reversion to rule-by-discretion, just as the rest of the world chooses rule-by-statute.

        What CLARITY would actually deliver

        To understand the cost of failure, start with what the bill does. At its core, CLARITY draws jurisdictional lines the industry has sought for years: most digital commodities, assets whose value rests on a mature, decentralized blockchain, would fall primarily under the Commodity Futures Trading Commission (CFTC) for spot markets, exchanges, brokers and dealers, while securities, including many tokenized traditional assets, remain with the Securities and Exchange Commission.

        Around that spine it builds an entire framework: registration requirements, customer asset segregation and custody rules, trade monitoring, anti-money-laundering obligations under the Bank Secrecy Act, and limited fundraising exemptions — up to $50 million annually and $200 million total without full SEC registration in certain cases. It includes a safe harbor, via the Blockchain Regulatory Certainty Act provisions, clarifying that non-custodial software developers are not money transmitters. It addresses stablecoin rewards, banning interest-like yields on idle balances while permitting certain activity-based rewards. And it carries ethics restrictions on covered officials, including a temporary ban on issuing or sponsoring digital assets that, notably, sunsets in 2029, alongside consumer protections designed to prevent another FTX-style failure.

        Supporters, including a16z crypto and major industry groups, frame it as the necessary complement to the GENIUS Act: clear rules for the underlying blockchain networks, not just the payment tokens that run on them. Without it, all of these questions remain answered primarily through agency interpretation, enforcement actions and litigation.

        A clear failure to advance before the recess would most likely trigger a sentiment-driven correction rather than a fundamental breakdown. Analysts have pointed to possible near-term downside of 10-30% for Bitcoin and related assets as dashed expectations unwind, in line with past macro and regulatory setbacks, before the market finds support.

        The pain would not be evenly distributed. Bitcoin itself has proven resilient, and its commodity-like treatment is relatively well established; it does not need CLARITY to know what it is. Altcoins, exchange tokens and projects heavily reliant on US capital formation or secondary trading would face more pressure, as the “delayed clarity premium” gets repriced into crypto-exposed equities like exchanges and custodians. Institutional holders, who take longer-term views, are unlikely to abandon positions en masse, as prior drawdowns have shown. The immediate market story, in other words, is a bruise, not a break.

        The deeper costs arrive later, and they compound.

        Enforcement-by-lawsuit, on newly shaky ground

        The most direct long-term cost is the continuation of the current patchwork — and that patchwork is more fragile than it looks.

        The March 2026 SEC-CFTC joint interpretation offered some guidance classifying certain assets as digital commodities. But agency interpretation is not statute, and after the Supreme Court’s 2024 Loper Bright decision curtailed Chevron deference, such interpretations are markedly more vulnerable to court challenge or reversal by a future administration. The classifications CLARITY Act would lock into law would instead remain interpretive, subject to shifting with the next commission or the next lawsuit.

        The practical consequences are concrete. Exchanges would continue facing listing uncertainty and elevated compliance friction. Token issuers seeking capital would operate without the clearer exemption pathways the bill provides. And developers building non-custodial tools would lack the statutory safe harbor many regard as essential protection against aggressive enforcement, holding, instead, only a Justice Department policy that a future administration could rescind with a memo. This is the regime CLARITY was written to end: rules made through enforcement rather than legislation, now resting on a deference doctrine the Court has already weakened.

        There is a second, subtler cost. In a legislative vacuum, regulators shape the market through individual decisions rather than general rules, and individual decisions favor whoever is best positioned to obtain them. The clearest example is already visible: while market-structure legislation stalls, federal regulators have granted national trust-bank charters to a select group of crypto firms, with Circle securing approval for a national digital currency bank and others queued behind it. Charter-by-charter, the competitive landscape is being redrawn before the rulebook that would govern everyone exists. Ambiguity is not neutral. It is a moat for incumbents and a barrier for challengers who cannot litigate their way to clarity.

        The regulators answer to the president now

        There is a reason agency discretion is a shakier foundation in 2026 than it would have been a year ago, and it is not only Loper Bright.

        In June, the Supreme Court’s Trump v. Slaughter ruling gave the president at-will removal power over SEC and CFTC commissioners, overturning ninety-one years of precedent. Everything the industry has gained on market structure without CLARITY, it now holds not merely at the pleasure of the current regulators, but of regulators who answer more directly to the White House than at any point since the agencies were created. A framework built on guidance can be rewritten by the next commission; a framework built on guidance from newly removable commissioners can be bent by the current one. Statute is durable. Guidance is a sandcastle at high tide, and the tide is now the president’s to command.

        The GENIUS warning: Passing is not implementing

        If the industry needs a preview of what “success” would even look like, it already has one — and it is not encouraging.

        The GENIUS Act, the stablecoin law signed in July 2025, is the thing CLARITY aspires to become: a passed, signed federal crypto statute. Yet on July 18, 2026, the law’s first anniversary and its statutory deadline for implementing rules, the six responsible agencies had issued around 10 proposed rules and finalized exactly none. The Federal Reserve never even published a standalone proposal. The law’s January 2027 effective date is immovable, meaning stablecoin issuers in a roughly $310 billion market must comply with rules that still exist only in draft.

        The lesson cuts against the urgency of passage in an uncomfortable way. Even if CLARITY passed tomorrow, the rulemaking to give it force would take one to three years, run through agencies already stretched thin, the CFTC is operating with a single sitting commissioner and an unfunded budget request, and could stall exactly as GENIUS’s rules have. In the near term, the real-world gap between “CLARITY fails” and “CLARITY passes but isn’t implemented” may be narrower than the political drama suggests. In both cases, the market runs on proposals, guidance and discretion for the foreseeable future.

        Innovation, capital, and talent flight

        US builders and companies would remain at a competitive disadvantage, and the drain would accelerate.

        Clear rules in the EU under MiCA, in Singapore, and in the UAE already attract capital and talent; failure would speed the offshore migration of issuers, infrastructure and even some operational functions. a16z has captured the structural point with an analogy: the GENIUS Act regulated the payment tokens, but leaving the networks themselves unlegislated is like writing rules for smartphones while ignoring the cellular infrastructure they run on. Institutional tokenization efforts, BlackRock’s funds, JPMorgan’s systems, DTCC’s Canton Network preparations, would proceed, but more cautiously in the US than they might elsewhere. DeFi, smart-contract platforms and US-facing exchanges would likely lag Bitcoin and pure infrastructure plays as a structural risk premium persists.

        The institutional hesitation is the quiet killer here. Large traditional-finance players have repeatedly named regulatory clarity as a prerequisite for scaling. Without statutory rules on custody, intermediaries and secondary markets for digital commodities, many will keep deeper involvement on the sidelines or route activity through more predictable foreign jurisdictions — capping the speed and breadth of US-centric institutional flows exactly when global tokenized-asset forecasts project enormous growth.

        The consumer-protection casualty

        Lost in the market-structure framing is what fails alongside the bill. CLARITY would impose traditional-finance-style protections, segregation of customer assets, disclosure, supervision of centralized custodial intermediaries, that many view as essential to reducing systemic risk.

        Chief among them is a bankruptcy protection ensuring customer digital assets are treated as belonging to customers rather than becoming part of a failed platform’s estate. Lummis has spent recent weeks invoking the collapses of Celsius, Voyager, and Terra, where customer funds were swallowed into bankruptcy pools and fought over by creditors, to argue this is the bill’s most important safeguard. It is also among its least controversial: few lawmakers of either party want to defend a system in which retail depositors lose their coins to creditors they never met.

        If CLARITY dies, that protection dies with it. The industry is far more mature than it was in 2022, but the absence of a clear federal rulebook for spot digital-commodity markets leaves more room for the misconduct or operational failure that damages broader confidence. The next platform failure, and in an industry that has lost more than $750 million to hacks and collapses in 2026 alone, there will be one, would unfold under the same rules that stranded Celsius and Voyager customers. This is the quiet cost of failure: not a dramatic market event, but the absence of a guardrail the next crisis will reveal was missing.

        The world writes the rules instead

        The highest-stakes consequence is strategic. The United States has long set global financial standards; failing to enact a coherent digital-asset framework risks ceding that role.

        The contrast is already vivid. Japan has advanced legislation reclassifying crypto as financial instruments, opening a path to spot Bitcoin ETFs and cutting its crypto tax from a rate reaching 55% to a flat 20%. The European Union’s MiCA regime is fully operational, its licensed roster now at 294 firms — including conventional banks like Commerzbank, BBVA and Standard Chartered taking licenses in volume. South Korea has committed to fortnightly parliamentary sessions to pass a won-stablecoin law by year-end. Even Russia and Brazil have moved. The jurisdictions that once looked to Washington for the template are now writing their own.

        There is a compounding risk here that goes beyond simple relocation. Dollar-backed stablecoins, bolstered by GENIUS, lose some of their network advantage if the underlying blockchains and markets lack US leadership. And as one industry voice put it, the world is looking to the US for a blueprint; without one, countries may chart genuinely independent paths, shrinking the overall opportunity rather than merely moving it offshore. Lummis has framed the stakes in a single line: every month without clear rules is a month another country writes them instead. If CLARITY fails, that becomes less an argument for American leadership than an epitaph for it.

        The irony at the center

        There is a bitter irony in how CLARITY fails, if it does. The bill is not stalling over a technical disagreement about blockchain, or a fight between the SEC and CFTC, or even the objections of longtime skeptics like Elizabeth Warren.

        It is stalling over the president’s own crypto empire.

        The June 30 financial disclosure showing roughly $1.4 billion in crypto-linked income for President Trump, most of it from the $TRUMP memecoin and World Liberty Financial, transformed the ethics question from a talking point into the bill’s central obstacle. Republicans offered ethics language barring officials from issuing digital assets while in office, though notably the restriction sunsets in 2029; Democrats rejected it because enforcement would fall solely to a Justice Department that answers to the president. And after Trump v. Slaughter, even routing enforcement to the SEC or CFTC would not resolve the objection, because those regulators now serve at the president’s pleasure too. There is no longer an obviously independent enforcer to hand the job to.

        So the industry’s most important legislative priority may die not because Washington rejected crypto, but because the president’s personal stake in crypto became too large to legislate around. The champion who did more than any president in history to advance the industry may also be the reason its signature bill cannot cross the finish line. Both things are true at once, which is exactly why the deadlock has proven so resistant to resolution.

        The counterargument: The industry adapts

        Not everyone sees failure as catastrophic, and the dissent comes from serious voices.

        Some executives note that the current SEC and CFTC leadership are already advancing workable frameworks through interpretation and joint effort, and that the industry will be “just fine” in the long term even without the statute. Bitwise chief investment officer Matt Hougan has framed a failure scenario as a three-year “show me” period: crypto must prove real-world utility, stablecoins in everyday use, tokenization at scale, by the end of the current administration to lock in durable political support regardless of future shifts. In that reading, agency guidance can still deliver meaningful clarity even without the permanence of legislation, and Bitcoin’s long-term trajectory has never depended on any single US bill.

        There is a version of the story in which failure even carries a silver lining: a bill passed in haste, over a still-unresolved ethics fight, might have codified a weaker framework than one negotiated properly later. Some of the same Democrats blocking the bill argue precisely this, that getting market structure right matters more than getting it fast.

        Looking ahead

        The CLARITY Act’s failure, if it comes, would be a peculiarly modern kind of setback: not a defeat, but a stall; not a return to hostility, but a drift into discretion. The most probable path is continued agency-level progress under a relatively crypto-friendly environment through at least early 2029, combined with slower institutional scaling in the US, selective capital and talent migration, and renewed legislative efforts in a later Congress, potentially under different political constraints.

        The bill’s supporters make a point that is easy to miss in the noise: passing comprehensive rules is far harder than unwinding them. Statutory clarity would lock in a framework future administrations would struggle to reverse; its absence leaves policy more reversible and innovation more dispersed. That asymmetry is the real reason this window matters.

        The deepest lesson may be about the limits of a single powerful ally. The industry bet heavily on an administration that delivered more than it dared hope, and then discovered that the same figure’s personal entanglement with crypto became the obstacle its opponents could never have manufactured on their own. If CLARITY dies, it will not be because Washington turned against crypto. It will be because Washington could not agree on how to watch the man who championed it.

        Crypto will evolve either way. The open question is whether the next generation of financial infrastructure gets built primarily under US rules, with American innovators, capital and consumer protections at the center, or elsewhere, under frameworks written by others. That is the real cost of inaction, and until Congress resolves who guards the guardian, the most important crypto bill in American history will keep waiting. The rest of the world will not.

        Also Read: The Donald Trump Crypto Presidency: Power, Policy, and $2.3 Billion


        Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.




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        EastEnders’ Shona McGarty finally goes official with ‘bad boy’ former on-screen flame as she unveils their matching tattoos

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          EastEnders’ Shona McGarty finally goes official with ‘bad boy’ former on-screen flame as she unveils their matching tattoos


          Shona McGarty has finally put the rumours to bed after going Instagram official with former EastEnders co-star Tony Discipline.

          The actress shared a carousel of sun-soaked holiday snaps and made her relationship status crystal clear.

          In the caption, she wrote: “The best trip away with Mi Amor.” Tony then jumped into the comments with: “Te Amo”.

          The pictures said plenty on their own. They showed the pair holding hands at dinner, kissing during a jet ski ride and sharing another kiss on a balcony.

          Shona McGarty’s holiday post left fans with little doubt

          If anyone still needed more proof, the tattoos did the rest. Shona McGarty and Tony Discipline appeared to reveal matching ink on the trip.

          They did not go for initials. Instead, they showed off palm trees and a little cartoon toaster.

          That playful detail got fans talking fast. Former co-star Danny Hatchard reacted with fire and heart emojis.

          Plenty of followers also said Shona was “glowing” in her new relationship. The post quickly sparked a buzz among soap fans.

          Shona has gone official with her new man (Credit: Anthony Harvey/Shutterstock)

          Why this former EastEnders pairing had everyone watching

          Romance rumours had followed the pair for months. Shona and Tony first sparked speculation when photographers spotted them at the Women’s Football Awards earlier this year.

          Now Shona McGarty appears to have confirmed everything on her own terms. She did it with sunshine, kisses and a very public post.

          Soap viewers know both stars well. Shona played Whitney Dean in EastEnders, while Tony played Tyler Moon.

          That shared history adds another layer to the story. Fans still remember their time in Albert Square.

          A past Shona McGarty confession now feels even more telling

          This latest update comes after Shona opened up about her personal life on last year’s I’m a Celebrity… Get Me Out of Here!

          During the series, she discussed her split from her ex-fiancé. She also shared what she wants from the future.

          Shona McGarty’s EastEnders history as Whitney Dean

          Shona McGarty is best known for playing Whitney Dean in EastEnders.

          She joined the BBC soap in 2008.
          Whitney became one of Albert Square’s longest-running younger characters of her era.
          The role gave Shona major storylines across family drama, relationships and personal trauma.
          Her performance made her one of the soap’s most recognisable stars.

          She told Tom Read Wilson: “I would love to be a mummy, and a wife, you know?”

          That quote now lands differently for fans following this new chapter. It gives the holiday reveal extra meaning.

          According to Digitalspy, the holiday snaps and matching tattoos left little room for doubt. The outlet said the pair had finally confirmed months of romance rumours.

          Shona is also pursuing a music career. That makes this personal update all the more eye-catching for fans keeping tabs on her next move.

          Read more: Shona McGarty reunites with on-screen love interest Tony Discipline and fans are convinced they’re officially an item

          What do you think about this story? Leave us a comment on our Facebook page @EntertainmentDailyFix.





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          The Dark Side of Genetics: Human-Animal Hybrids and Evolution’s Boundaries | Metaverse Planet

          The Dark Side of Genetics: Human-Animal Hybrids and Evolution’s Boundaries | Metaverse Planet


          When I was digging through some old research archives the other night, I stumbled upon a piece of history that honestly made my blood run cold. We’re all used to seeing synthetic humans or wild genetic mutations in movies like The Matrix or Blade Runner, right? We comfort ourselves by saying, “It’s just science fiction.” But let me tell you, the line between fiction and reality is completely blurred when you look at the hidden chapters of genetic history.

          What happens when human DNA and chimpanzee genes collide in a secret laboratory?

          While researching this, I realized that we aren’t just talking about a futuristic dystopia. We are talking about experiments that actually happened, and modern technologies that are pushing us dangerously close to the plot of The Island of Dr. Moreau. Let’s break down the science, the history, and the terrifying possibilities of our genetic future.

          The Soviet Era’s Deepest Secret: The “Humanzee” Experiments

          You might think that mixing human and animal DNA is a purely modern ethical dilemma born from advanced gene-editing tools. I thought so too, until I read about Ilya Ivanov.

          In the 1920s, under the Soviet regime, this real-life scientist was funded to do the unthinkable: create a human-ape hybrid. Ivanov traveled to Africa and attempted to inseminate female chimpanzees with human sperm, and later, controversially, tried to set up experiments doing the reverse with human volunteers in Soviet Russia.

          Why did they do it?

          Ideological motives: The regime allegedly wanted to prove Darwinian evolution in the most radical way possible to dismantle religious beliefs.The super-soldier myth: Rumors have always swirled that Stalin wanted an invincible, tireless, and highly resilient workforce or army.

          Ivanov’s experiments ultimately failed. But looking back at it now, his failure wasn’t due to a lack of terrifying ambition; it was purely due to a biological firewall that he didn’t have the technology to breach.

          The Ultimate Firewall: Why Does Our DNA Lock Down?

          Here is the part that always fascinates me: Humans and chimpanzees share about 98.8% of their DNA. We are incredibly close cousins on the evolutionary tree. So, why did Ivanov fail? Why don’t our cells just cooperate and bridge that tiny gap?

          That final 1.2% difference isn’t just a minor detail; it is a massive, complex biological lock. When I dive into the genetics of it, a few critical things stand out:

          Chromosome Mismatch: Humans have 46 chromosomes (23 pairs), while chimpanzees have 48 (24 pairs). During human evolution, two ancestral ape chromosomes actually fused together to form human chromosome 2. This structural difference makes natural reproduction virtually impossible.Cellular Rejection: Even if fertilization miraculously occurs in a lab setting, the cell division process quickly breaks down. The biological instructions are too conflicting. It’s like trying to run an advanced iOS app on an old Android operating system—it immediately crashes.The Immune Response: Our bodies are hyper-vigilant. Any foreign genetic material that manages to bypass the initial stages is violently attacked and dismantled by immune defenses.

          Nature has built a strict boundary. But what happens when we stop relying on nature and start writing the code ourselves?

          Modern Gene Editing: Are We Awakening Dr. Moreau?

          This brings me to the modern day, and this is where things get intensely real. We don’t need clumsy, 1920s-style insemination experiments anymore. We have CRISPR. We have the ability to literally copy, paste, and delete genetic code at will.

          Today, scientists are actively creating chimeras—organisms that contain cells from two different species.

          We are growing human stem cells inside pig embryos with the noble goal of harvesting organs for human transplants.We are injecting human genes into monkey brains to study neurodevelopment and diseases like autism or Alzheimer’s.

          When I look at this, I see a double-edged sword. On one hand, we could eradicate waiting lists for organ transplants and cure genetic diseases. On the other hand, where exactly is the line? If a monkey is given human brain genes and suddenly starts showing enhanced cognitive abilities, what are we creating?

          We are no longer just observing evolution; we are actively hacking it. The biological firewall that stopped Soviet scientists nearly a century ago is currently being bypassed line by line in modern laboratories.

          Coding the Future

          We always thought the terrifying synthetic biology of sci-fi movies was generations away. But the reality is that the future isn’t fiction—it is being coded right here, right now, in petri dishes and genetic sequencing machines around the world.

          The boundaries of evolution are expanding, and we are the ones holding the blueprint. The question isn’t whether we can merge human and animal biology anymore; the question is whether we should.

          I’ve been thinking about this non-stop since I started diving into the topic. If we could perfectly edit that final 1.2% genetic difference to cure all human diseases, but it required crossing the ethical line of human-animal hybrids, would you support it? Where do you draw your personal line in the sand? Let me know what you think below.

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          Influencer Deaths of 2026: Sara Gilson, Adriana Garcia, and More Content Creators We’ve Lost

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            Influencer Deaths of 2026: Sara Gilson, Adriana Garcia, and More Content Creators We’ve Lost




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