Sony Santa Monica might not be ditching God of War for its next game according to industry insider
Sony Santa Monica's next game is reportedly the studio's "next big thing"
Bloomberg reporter Jason Schreier responded to speculation, claiming that the studio's new game isn't a new IP, "but might feel like one"
Schreier also claimed that the sci-fi game rumors are not true
The next game from God of War developer Sony Santa Monica reportedly won't be a new IP, "but might feel like one".
That's according to Bloomberg reporter Jason Schreier (via Eurogamer), who responded to speculation on ResetEra after initially writing about the studio's next project.
"Cory Barlog's game is Sony Santa Monica's next big thing," Schreier said. "Last time I spoke to anyone about it (a month or two ago) it was going well."
After sharing this tidbit, fans went on to theorize that the game could be a new IP, which Schreier has now denied.
"I'll put it this way: it's not a new IP but it might feel like one," Schreier explained. "Maybe that's why people are confused. Please don't ask me more questions about this - if I wind up reporting more information at any point in the future it'll be in an article, not on a forum."
There's also been speculation over the years that Cory Barlog, the director of God of War, will be making a sci-fi game next at Sony Santa Monica, but Schreier claims that this isn't correct
"And that the sci-fi stuff (that people have apparently believed for years now?) is nonsense," he said.
Rumors of Sony Santa Monica developing a new IP sprang up last year, but there's no official word from the studio on what it's currently working on.
A third God of War game is also a possibility, but the studio hasn't confirmed if it plans on continuing the series after launching God of War Ragnarok in 2022.
You might also like...
The Nintendo Switch 2 is the company's least ambitious console to date, but its improvements are astronomical
I've spent 40 hours exploring Death Stranding 2: On the Beach, and it's an incredible sequel that builds upon its unique predecessor to become a masterpiece
I've spent 150 hours with The Legend of Zelda: Breath of the Wild, and the Switch 2 Edition is an incredible upgrade
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Fast Company
2 minutes ago
- Fast Company
5 job search habits young job seekers should ditch immediately
After nearly four decades on Wall Street and over 15 years mentoring students and young adults, I've witnessed countless young professionals struggle with their job searches —not because they lack talent, but because they're trapped in counterproductive habits that sabotage their success before they even begin. The job market has never been more competitive. With AI tools and vast information resources now available to every applicant, the baseline for what constitutes a 'good' application has skyrocketed. Today's job seekers have access to sophisticated résumé optimization tools, interview prep platforms, and industry insights that previous generations could never have imagined. And that means that simply having a polished resume or knowing basic company facts no longer differentiates you from the competition. A saturated job market The COVID-19 pandemic intensified this competition exponentially. Economic disruptions created a massive pool of highly competent applicants—seasoned professionals who were laid off, recent graduates whose traditional entry points disappeared, and career changers seeking more stable industries—all competing for fewer available positions. What we're witnessing is an unprecedented bottleneck, where exceptional candidates are struggling to get through recruiting filters just because the volume of qualified applicants has overwhelmed traditional hiring processes. This saturation means that even talented individuals with strong credentials are facing rejection after rejection, not due to inadequacy, but due to sheer numbers. Employers who once received dozens of applications for a position now receive hundreds, forcing them to rely on increasingly narrow filtering criteria that can eliminate excellent candidates for arbitrary reasons. In this new landscape, it's the candidates who go above and beyond—who demonstrate genuine initiative, build real relationships, and create tangible value—who separate themselves from the pack. The tools are available to everyone, but it's how strategically and creatively you use them that determines your success. The reality is that most new job seekers are their own worst enemies, repeating the same ineffective strategies that virtually guarantee disappointment. If you're serious about launching your career, it's time to break these five destructive habits immediately. Stop the Spray-and-Pray Approach I see this mistake constantly: talented graduates treating job applications like a numbers game, firing off identical résumés to every posting they find. During my years at one of the largest banks in the United States, I reviewed countless résumés. The generic submissions were easy to spot and equally easy to dismiss. Employers aren't looking for someone who can fill any role—they want someone who genuinely understands (and is passionate about) their specific position. Every application should tell a story about why you and this particular company are a perfect match. Research the organization, understand their challenges, and demonstrate how your skills address their specific needs. Yes, this takes more time—but would you rather send 50 thoughtless applications that get ignored, or 10 targeted ones that actually generate interviews? Embrace LinkedIn as Your Career Command Center I'm amazed by how many job seekers still treat LinkedIn as an afterthought. In today's digital world, your LinkedIn profile is often your first chance to make an impression. Worse yet, many young professionals create a profile and then abandon it, missing countless opportunities for meaningful connections. Your LinkedIn presence should be as polished and strategic as your résumé. More importantly, it should be active. Share insights about your industry, comment thoughtfully on posts from professionals you admire, and regularly update your network on your career journey. We encourage young adults to view LinkedIn as a relationship-building platform, not just a digital résumé. The connections you make today become the foundation for opportunities in the future. Many of our most successful clients have landed positions through LinkedIn relationships they cultivated months before they even began their formal job search. Abandon the Perfect Role Fantasy One of the most career-limiting beliefs I encounter is the idea that you should wait for the perfect opportunity. Young professionals often turn down roles that don't match their exact vision, convinced that holding out will yield something better. This perfectionist mindset ignores a fundamental truth: careers are built through progression. Some of the most successful individuals I've mentored started in positions that seemed unrelated to their ultimate goals but provided invaluable experience and connections. Early in your career, prioritize learning and growth over title and salary. A role with exceptional mentorship, challenging projects, or exposure to senior leadership can be far more valuable than a prestigious position where you'll be isolated or underutilized. The goal is forward momentum, not immediate arrival at your destination. I often tell my mentees that your first job is rarely your last job, but it's always your launching pad. Choose roles that accelerate your trajectory, even if they don't perfectly align with your original vision. Master the Art of Strategic Follow-Up The job search doesn't end when you walk out of the interview room: that's when the real work begins. Yet countless candidates don't take full advantage of promising opportunities by failing to follow up appropriately. A thoughtful follow-up message accomplishes several critical objectives: it demonstrates your genuine interest, reinforces key points from your conversation, and keeps you visible during the decision-making process. More importantly, it shows that you understand professional norms and can manage relationships effectively. Your follow-up should be personalized, referencing specific moments from your conversation and reiterating how you can contribute to their team's success. This isn't about being pushy—it's about being professional and maintaining momentum. I've seen talented candidates lose opportunities to less-qualified competitors simply because they assumed their interview performance would speak for itself. In a competitive market, every advantage matters, and strategic follow-up can be the difference between getting the offer or being forgotten Stop Waiting Until Your Senior Year to Think About Career Strategy One of the most limiting mistakes I see is students who coast through their first few years of college without any career planning, suddenly panicking during junior or senior year when they realize competitive roles require years of preparation. Today's job market rewards those who think strategically early. The most coveted positions, whether in finance, consulting, technology, or other competitive fields, increasingly expect candidates to have meaningful internship experience, relevant projects, and established industry connections. Students who wait until their final years find themselves competing against peers who've been building their credentials since freshman year. But let me be clear: starting later doesn't doom your prospects. I've mentored countless students who discovered their career direction during their junior or senior years and still achieved remarkable success. The key is understanding that you'll need to accelerate your efforts and be more strategic about your approach. The real mistake isn't starting late; it's continuing to delay action once you recognize the importance of career planning. Whether you're a freshman or a senior, the best time to start building your professional foundation is right now. The Path Forward Throughout my career mentoring young professionals, I've watched talented individuals gain access to opportunities they never thought possible by simply approaching their job search with the same intelligence and intention they bring to other aspects of their lives. Remember, your job search can be a demonstration of your professional capabilities. Employers are evaluating not just what you've accomplished, but how you approach challenges, manage relationships, and execute strategies. The job market may be competitive, but it's not impenetrable. With the right approach, persistence, and strategic thinking, you can transform your job search from a source of frustration into a launching pad for the career you truly want.
CNN
14 minutes ago
- CNN
‘Revenge dress for a party in Sicily': This platform is using AI to make online shopping hyper-personal
As anyone who's scoured the internet for a bridesmaid dress knows, online shopping can be a pain. Among almost unlimited options, it can be a difficult task to find just the right style, color, size and price point. A tech startup called Daydream is now looking to fix that by letting users search for a product online in the same way they'd describe it to a friend. A user could say they're looking for a 'revenge dress to wear to a party in Sicily in July,' for example, or 'a summer bag to carry to work and to cocktails after.' Daydream, which has staff in the New York and San Francisco areas, is just the latest tech company using artificial intelligence to try to make online shopping simpler and more personalized. The demand is already there — a survey of 5,000 American consumers published by Adobe Analytics showed that 39% of respondents had used a generative AI tool for online shopping last year and that 53% planned to do so this year. It's competing with tech giants that have already launched AI tools for online shopping. Meta is using AI to make it easier for sellers to list items for sale on its apps, and to show users ads for products they're more likely to buy. OpenAI launched an AI agent that can shop for users across the web, and Amazon is testing a similar feature. And Google has rolled out a range of AI shopping tools, including automated price tracking, a 'circle to search' feature that lets users search for a product in a photo or on social media, and virtual try-on for clothes. But Daydream has a deeper understanding of the fashion and retail industries than those bigger players, CEO Julie Bornstein told CNN. Bornstein helped build Nordstrom's website as its vice president of e-commerce in the early 2000s and worked in the C-suite for Sephora and Stitch Fix. In 2018, she co-founded her first AI-powered shopping startup The Yes, which sold to Pinterest in 2022. 'They don't have the people, the mindset, the passion to do what needs to be done to make a category like fashion work for (AI) recommendations,' Bornstein said. 'Because I've been in this space my whole career, what I know is that having the catalogue that has everything and being able to show the right person the right stuff is what makes shopping easier.' Already, Daydream has raised $50 million in its first round of funding from investors including Google Ventures and model and Kode With Klossy founder Karlie Kloss. The free platform operates sort of like a digital personal stylist. Users can type in what they're looking for in natural language — no Boolean search terms required, thanks to its AI text recognition technology — or upload an inspiration photo. Then, Daydream will surface recommendations from more than 8,000 brand partners, ranging from Uniqlo to Gucci. Users can then continue chatting, just like they would with a chatbot, to refine the search; for instance, by asking for more casual or less expensive options. As users spend more time on the platform, it will start to tailor recommendations based on what they've searched for, clicked on and saved. When they're ready to buy, shoppers are directed to the brand's website to complete their purchase, and Daydream will take a cut of the sale. Unlike many of the other big players in e-commerce, Bornstein is eschewing ads-based rankings — she wants products to show up on recommendation pages because they're a likely fit for the customer, not because brands have paid for them to be there. 'As soon as Amazon started doing paid sponsorships, I'm like, 'How can I find what the real good product is?'' she said. 'We want this to be a thing where we get paid when we show the customer the right thing.' On a recent CNN test of Daydream, a search for 'white, fitted button-up shirt for the office with no pockets' led to a $145 cotton long-sleeve from Theory that fit the bill. But the recommendations aren't always perfect — a search for 'mother of the bride dress for a summer wedding in California' returned, among more formal styles, several slinky slip dresses, including in white, that seemed more suited to a bachelorette party. Bornstein said the company continues to refine its AI models and collect user feedback. 'We want data on what people are doing so we can focus and learn where we do well and where we don't,' she said. Part of that work, she added, is training the AI model to understand what it means when users say, for example, they're looking for a dress for a trip to Greece in August (it's going to be hot) or that it's for a black-tie wedding (it should be formal). Daydream launched its web version to the public last month, although it remains in beta testing, and plans to release an app this fall. In the future, Bornstein said she expects people to use AI not just for shopping but for a range of fashion needs, such as pairing items they're shopping for with existing pieces in their closet. 'This was one of my earliest ideas, but I didn't know the term (generative AI) and I didn't know a large language model was going to be the unlock,' she said.
CNN
14 minutes ago
- CNN
‘Revenge dress for a party in Sicily': This platform is using AI to make online shopping hyper-personal
As anyone who's scoured the internet for a bridesmaid dress knows, online shopping can be a pain. Among almost unlimited options, it can be a difficult task to find just the right style, color, size and price point. A tech startup called Daydream is now looking to fix that by letting users search for a product online in the same way they'd describe it to a friend. A user could say they're looking for a 'revenge dress to wear to a party in Sicily in July,' for example, or 'a summer bag to carry to work and to cocktails after.' Daydream, which has staff in the New York and San Francisco areas, is just the latest tech company using artificial intelligence to try to make online shopping simpler and more personalized. The demand is already there — a survey of 5,000 American consumers published by Adobe Analytics showed that 39% of respondents had used a generative AI tool for online shopping last year and that 53% planned to do so this year. It's competing with tech giants that have already launched AI tools for online shopping. Meta is using AI to make it easier for sellers to list items for sale on its apps, and to show users ads for products they're more likely to buy. OpenAI launched an AI agent that can shop for users across the web, and Amazon is testing a similar feature. And Google has rolled out a range of AI shopping tools, including automated price tracking, a 'circle to search' feature that lets users search for a product in a photo or on social media, and virtual try-on for clothes. But Daydream has a deeper understanding of the fashion and retail industries than those bigger players, CEO Julie Bornstein told CNN. Bornstein helped build Nordstrom's website as its vice president of e-commerce in the early 2000s and worked in the C-suite for Sephora and Stitch Fix. In 2018, she co-founded her first AI-powered shopping startup The Yes, which sold to Pinterest in 2022. 'They don't have the people, the mindset, the passion to do what needs to be done to make a category like fashion work for (AI) recommendations,' Bornstein said. 'Because I've been in this space my whole career, what I know is that having the catalogue that has everything and being able to show the right person the right stuff is what makes shopping easier.' Already, Daydream has raised $50 million in its first round of funding from investors including Google Ventures and model and Kode With Klossy founder Karlie Kloss. The free platform operates sort of like a digital personal stylist. Users can type in what they're looking for in natural language — no Boolean search terms required, thanks to its AI text recognition technology — or upload an inspiration photo. Then, Daydream will surface recommendations from more than 8,000 brand partners, ranging from Uniqlo to Gucci. Users can then continue chatting, just like they would with a chatbot, to refine the search; for instance, by asking for more casual or less expensive options. As users spend more time on the platform, it will start to tailor recommendations based on what they've searched for, clicked on and saved. When they're ready to buy, shoppers are directed to the brand's website to complete their purchase, and Daydream will take a cut of the sale. Unlike many of the other big players in e-commerce, Bornstein is eschewing ads-based rankings — she wants products to show up on recommendation pages because they're a likely fit for the customer, not because brands have paid for them to be there. 'As soon as Amazon started doing paid sponsorships, I'm like, 'How can I find what the real good product is?'' she said. 'We want this to be a thing where we get paid when we show the customer the right thing.' On a recent CNN test of Daydream, a search for 'white, fitted button-up shirt for the office with no pockets' led to a $145 cotton long-sleeve from Theory that fit the bill. But the recommendations aren't always perfect — a search for 'mother of the bride dress for a summer wedding in California' returned, among more formal styles, several slinky slip dresses, including in white, that seemed more suited to a bachelorette party. Bornstein said the company continues to refine its AI models and collect user feedback. 'We want data on what people are doing so we can focus and learn where we do well and where we don't,' she said. Part of that work, she added, is training the AI model to understand what it means when users say, for example, they're looking for a dress for a trip to Greece in August (it's going to be hot) or that it's for a black-tie wedding (it should be formal). Daydream launched its web version to the public last month, although it remains in beta testing, and plans to release an app this fall. In the future, Bornstein said she expects people to use AI not just for shopping but for a range of fashion needs, such as pairing items they're shopping for with existing pieces in their closet. 'This was one of my earliest ideas, but I didn't know the term (generative AI) and I didn't know a large language model was going to be the unlock,' she said.
