logo
Darren Aronofsky joins AI Hollywood push with Google deal

Darren Aronofsky joins AI Hollywood push with Google deal

Director Darren Aronofsky has pushed artistic boundaries with movies including 'Requiem for a Dream' and 'Mother!'
Now his production company is working with Google to explore the edge of artificial intelligence technology in filmmaking.
Google on Tuesday said it is working with several filmmakers to use new AI tools as part of a larger push to popularize the fast-moving tech. That effort includes a partnership with Aronofsky's venture, Primordial Soup.
Google's AI-focused subsidiary DeepMind and Aronofsky's firm will work with three filmmakers, giving them access to the Mountain View, Calif.-based giant's text-to-video tool Veo, which they will use to make short films. The first project, 'Ancestra,' is directed by Eliza McNitt. Aronofsky is an executive producer on the film. 'Ancestra,' which premieres at the Tribeca Festival next month, combines live-action filmmaking with imagery generated with AI, such as cosmic events and microscopic worlds.
'Filmmaking has always been driven by technology,' Aronofsky said in a statement that referenced film tech pioneers the Lumiere brothers and Thomas Edison. 'Today is no different. Now is the moment to explore these new tools and shape them for the future of storytelling.'
The push comes as Google and other companies are making deals with Hollywood talent and production companies to use their AI tools. For example, Facebook parent company Meta is partnering with 'Titanic' director James Cameron's venture, Lightstorm Vision, to co-produce content for its virtual reality headset Meta Quest. New York-based AI startup Runway has a deal with 'Hunger Games' studio Lionsgate to create a new AI model to help with behind-the-scenes processes such as storyboarding.
Many people in Hollywood have been critical of AI tools, raising concerns about the automation of jobs. Writers worry about AI models being trained on their scripts without their permission or compensation. Tech industry executives have said that they should be able to train AI models with content available online under the 'fair use' doctrine, which allows for the limited reproduction of material without permission from the copyright holder.
Proponents of the technology say that it can provide more opportunities for filmmakers to test out ideas and show a variety of visuals at a lower cost.
New York-based Primordial Soup said in a press release that Google's AI tools helped solve 'practical challenges such as filming with infants and visualizing the birth of the universe' in 'Ancestra.'
'With 'Ancestra,' I was able to visualize the unseen, transforming family archives, emotions, and science into a cinematic experience that feels both intimate and expansive,' McNitt said in a statement.
The two additional filmmakers and films participating in the Google DeepMind-Primordial Soup deal are not yet named.
Google made the announcement as part of its annual I/O developer conference in Mountain View.
During the event's keynote address on Tuesday, Google shared updates on its AI tools for filmmakers, including Veo 3, which allows creators to type in how they want dialogue to sound and add sound effects. The company also unveiled a new AI filmmaking tool called Flow that helps users create cinematic shots and stitch together scenes into longer films and short stories.
'This opens up a whole new world of possibilities,' said Demis Hassabis, chief executive of Google DeepMind, in a news briefing on Monday. 'We're excited for how our models are helping power new tools for creativity.'
Flow is available through Google's new $249.99 monthly subscription plan Google AI Ultra, which includes early access to Veo 3, as well as other benefits including YouTube Premium, Google's AI models Gemini and other tools. Flow is also available with a $19.99-a-month Google AI Pro subscription.
Google is making other investments related to AI. On Tuesday, L.A.-based generative AI studio Promise announced Google AI Futures Fund as one of its new strategic investors. Through the partnership, Promise will integrate some of Google's AI technologies into its production pipeline and workflow software and collaborate with Google's AI teams.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

AI Chips Today - BluSky Expands with Strategic Delta Data Center Land Acquisition
AI Chips Today - BluSky Expands with Strategic Delta Data Center Land Acquisition

Yahoo

time8 minutes ago

  • Yahoo

AI Chips Today - BluSky Expands with Strategic Delta Data Center Land Acquisition

BluSky AI Inc. has announced a significant step in its strategic expansion by signing a non-binding letter of intent to acquire 25 acres of land within Creekstone Energy LLC's Delta Data Center Development. This acquisition will provide BluSky with access to up to 50 megawatts of scalable power, crucial for meeting the increasing demand for efficient and secure AI capabilities. The Delta Gigasite offers a unique advantage due to its location at the convergence of high-density fiber, renewable energy corridors, and tech growth zones. This initiative is part of BluSky's roadmap to develop next-generation AI compute campuses, aligning with sustainability and modular innovation goals. The company expects to finalize the transaction by the fourth quarter, with subsequent groundbreaking in late 2026. Elsewhere in the market, was a standout up 3.1% and finishing the session at CN¥123.99. In the meantime, lagged, down 5.9% to finish the session at HK$50.20. Semiconductor Manufacturing International's aggressive capacity expansion is rapidly transforming its market position despite margin pressures. Discover more about SMIC's evolving landscape by exploring our in-depth narrative on the company. You may also want to check out our Market Insights article titled "A.I. Enters the 'Show Me The Money' Phase," exploring the evolving landscape of AI Chips and the opportunities for savvy investors; act now before the window closes! Best AI Chip Stocks ended the day at $177.44 up 2.2%, near its 52-week high. finished trading at $175.51 down 0.7%, not far from its 52-week high. This week, onsemi announced collaborations with NVIDIA on 800 Volt Direct Current power solutions to enhance AI data center efficiency and sustainability. ended the day at €623.00 down 0.8%. Seize The Opportunity Click this link to deep-dive into the 56 companies within our AI Chip Stocks screener including Taiwan Semiconductor Manufacturing, Lam Research and Advanced Micro-Fabrication Equipment China. Looking For Alternative Opportunities? This technology could replace computers: discover the 26 stocks are working to make quantum computing a reality. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sources: Simply Wall St "BluSky AI Inc. Signs Letter of Intent to Acquire 25 Acres with up to 50 MW of Capacity in Strategic Expansion" from BluSky AI Inc. on GlobeNewswire (published 29 July 2025) Companies discussed in this article include SHSE:603986 NasdaqGS:AMD NasdaqGS:NVDA ENXTAM:ASML and SEHK:981. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Could This Once-Hot AI Stock Get Another Shot at Stardom?
Could This Once-Hot AI Stock Get Another Shot at Stardom?

Yahoo

time8 minutes ago

  • Yahoo

Could This Once-Hot AI Stock Get Another Shot at Stardom?

Inc (AI) is winning back investors with a management shake-up that could redefine its future after CEO and founder Tom Siebel announced plans to step down due to his ill health, stoking speculations that there could be an acquisition of the company that offers enterprise AI software. With shares down by over 40% from their 52-week high and the company underperforming peers like Nvidia (NVDA), investors are wondering whether this change could be a positive for AI stock. At the same time, broad-based macro tailwinds for AI spending continue to be robust, particularly within sectors like defense, energy, and government services where has been expanding very aggressively. With adoption soaring, a record backlog, and further integrations with Microsoft (MSFT), Amazon (AMZN), and Baker Hughes (BKR), is worth a closer look here. More News from Barchart Here's What Happened the Last Time Novo Nordisk Stock Was This Oversold Earnings Will Be 'Worse Than Expected' for UnitedHealth. How Should You Play UNH Stock Here? As SoFi Raises 2025 Guidance, Should You Buy, Sell, or Hold SOFI Stock Here? Get exclusive insights with the FREE Barchart Brief newsletter. Subscribe now for quick, incisive midday market analysis you won't find anywhere else. About Stock (AI) is a provider of enterprise AI software. It develops scalable, autonomous AI applications for industrial, governmental, and commercial end customers. The company is part of the fast-growing AI software industry with a market valuation of approximately $3.5 billion. In the past 52 weeks, shares have moved between $17.03 and $45.08 and are trading at approximately $25 currently. The stock has recovered from recent lows, but remains down by nearly 46% from its 2024 high. Despite this correction, has a very high price-sales ratio of 8.98x and price-book ratio of 4.16x. The negative return on equity (-33.51%) and profit margins highlight that the company faces challenges to grow profitably. This suggests that AI stock currently trades on expectations for future growth as well as recent interest in a takeover. Expands Its Strategic Footprint reported fiscal Q4 2025 revenue of $108.7 million, up 26% year-over-year. Subscription revenue rose 9% to $87.3 million and contributed to 80% of overall revenue. The company, however, reported a GAAP net loss per share of $0.60 and an adjusted loss of $0.16, representing continued margin pressures despite rising revenue. This beat the analyst estimate for a loss of $0.20 per share. In FY 2025, overall revenues were $389.1 million (+25%), driven by federal contract resilience and commercial release of its generative and agentic AI platforms. The company noted public sector traction, including a $450 million U.S. Air Force contract to continue predictive maintenance using its PANDA platform and a new multi-year contract with Baker Hughes through 2028. Federal bookings reached 20% of all contracts, with its state and local government business doubling year-over-year. Notably, agreed to 264 contracts within FY25 that rose 38% year-over-year, with noteworthy victories with Exxon Mobil (XOM), U.S. Steel, and Bristol Myers Squibb (BMY), further evidence of additional market penetration What Do Analysts Expect for Stock? has a 'Hold' consensus rating. With 14 analysts in coverage, 5 recommend 'Strong Buy', four recommend 'Hold', and the remaining five have 'Sell' recommendations. The interesting thing to note is that Wedbush reiterated an 'Outperform' recommendation after the report of the CEO transition, as there are higher chances of takeover within 3–12 months. The consensus target of $30.83 on AI implies shares could gain 26% from here. The Street-high target of $50 suggests shares could more than double in the next 12 months. On the date of publication, Yiannis Zourmpanos did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Sign in to access your portfolio

AI-Generated Code Poses Major Security Risks in Nearly Half of All Development Tasks, Veracode Research Reveals
AI-Generated Code Poses Major Security Risks in Nearly Half of All Development Tasks, Veracode Research Reveals

Business Wire

time9 minutes ago

  • Business Wire

AI-Generated Code Poses Major Security Risks in Nearly Half of All Development Tasks, Veracode Research Reveals

BURLINGTON, Mass.--(BUSINESS WIRE)-- Veracode, a global leader in application risk management, today unveiled its 2025 GenAI Code Security Report, revealing critical security flaws in AI-generated code. The study analyzed 80 curated coding tasks across more than 100 large language models (LLMs), revealing that while AI produces functional code, it introduces security vulnerabilities in 45 percent of cases. Despite advances in AI-assisted development, it is clear security hasn't kept pace. Veracode's latest research reveals GenAI models can make the wrong choices, introducing security vulnerabilities into software nearly half the time. Share The research demonstrates a troubling pattern: when given a choice between a secure and insecure method to write code, GenAI models chose the insecure option 45 percent of the time. Perhaps more concerning, Veracode's research also uncovered a critical trend: despite advances in LLMs' ability to generate syntactically correct code, security performance has not kept up, remaining unchanged over time. 'The rise of vibe coding, where developers rely on AI to generate code, typically without explicitly defining security requirements, represents a fundamental shift in how software is built,' said Jens Wessling, Chief Technology Officer at Veracode. 'The main concern with this trend is that they do not need to specify security constraints to get the code they want, effectively leaving secure coding decisions to LLMs. Our research reveals GenAI models make the wrong choices nearly half the time, and it's not improving.' AI is enabling attackers to identify and exploit security vulnerabilities quicker and more effectively. Tools powered by AI can scan systems at scale, identify weaknesses, and even generate exploit code with minimal human input. This lowers the barrier to entry for less-skilled attackers and increases the speed and sophistication of attacks, posing a significant threat to traditional security defenses. Not only are vulnerabilities increasing, but the ability to exploit them is becoming easier. LLMs Introduce Dangerous Levels of Common Security Vulnerabilities To evaluate the security properties of LLM-generated code, Veracode designed a set of 80 code completion tasks with known potential for security vulnerabilities according to the MITRE Common Weakness Enumeration (CWE) system, a standard classification of software weaknesses that can turn into vulnerabilities. The tasks prompted more than 100 LLMs to auto-complete a block of code in a secure or insecure manner, which the research team then analyzed using Veracode Static Analysis. In 45 percent of all test cases, LLMs introduced vulnerabilities classified within the OWASP (Open Web Application Security Project) Top 10—the most critical web application security risks. Veracode found Java to be the riskiest language for AI code generation, with a security failure rate over 70 percent. Other major languages, like Python, C#, and JavaScript, still presented significant risk, with failure rates between 38 percent and 45 percent. The research also revealed LLMs failed to secure code against cross-site scripting (CWE-80) and log injection (CWE-117) in 86 percent and 88 percent of cases, respectively. 'Despite the advances in AI-assisted development, it is clear security hasn't kept pace,' Wessling said. 'Our research shows models are getting better at coding accurately but are not improving at security. We also found larger models do not perform significantly better than smaller models, suggesting this is a systemic issue rather than an LLM scaling problem.' Managing Application Risks in the AI Era While GenAI development practices like vibe coding accelerate productivity, they also amplify risks. Veracode emphasizes that organizations need a comprehensive risk management program that prevents vulnerabilities before they reach production—by integrating code quality checks and automated fixes directly into the development workflow. As organizations increasingly leverage AI-powered development, Veracode recommends taking the following proactive measures to ensure security: Integrate AI-powered tools like Veracode Fix into developer workflows to remediate security risks in real time. Leverage Static Analysis to detect flaws early and automatically, preventing vulnerable code from advancing through development pipelines. Embed security in agentic workflows to automate policy compliance and ensure AI agents enforce secure coding standards. Use Software Composition Analysis (SCA) to ensure AI-generated code does not introduce vulnerabilities from third-party dependencies and open-source components. Adopt bespoke AI-driven remediation guidance to empower developers with precise fix instructions and train them to use the recommendations effectively. Deploy a Package Firewall to automatically detect and block malicious packages, vulnerabilities, and policy violations. 'AI coding assistants and agentic workflows represent the future of software development, and they will continue to evolve at a rapid pace,' Wessling concluded. 'The challenge facing every organization is ensuring security evolves alongside these new capabilities. Security cannot be an afterthought if we want to prevent the accumulation of massive security debt.' The complete 2025 GenAI Code Security Report is available to download on the Veracode website. About Veracode Veracode is a global leader in Application Risk Management for the AI era. Powered by trillions of lines of code scans and a proprietary AI-assisted remediation engine, the Veracode platform is trusted by organizations worldwide to build and maintain secure software from code creation to cloud deployment. Thousands of the world's leading development and security teams use Veracode every second of every day to get accurate, actionable visibility of exploitable risk, achieve real-time vulnerability remediation, and reduce their security debt at scale. Veracode is a multi-award-winning company offering capabilities to secure the entire software development life cycle, including Veracode Fix, Static Analysis, Dynamic Analysis, Software Composition Analysis, Container Security, Application Security Posture Management, Malicious Package Detection, and Penetration Testing. Learn more at on the Veracode blog, and on LinkedIn and X. Copyright © 2025 Veracode, Inc. All rights reserved. Veracode is a registered trademark of Veracode, Inc. in the United States and may be registered in certain other jurisdictions. All other product names, brands or logos belong to their respective holders. All other trademarks cited herein are property of their respective owners.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store