The post ‘Mad Cow Disease’: Grand Theft Auto Dev Warns That Generative AI Could Harm Games appeared on BitcoinEthereumNews.com. In brief Rockstar Games co-founder Dan Houser warned that AI models scraping AI-generated data could trigger a creative breakdown in games. He warned that training AI on synthetic data would produce models that “mirror themselves” and degrade over time as original human work becomes harder to find. Houser said he “couldn’t see how the information gets better” as studios adopt tools built on increasingly self-referential datasets. Rockstar Games co-founder Dan Houser—one of the key figures who helped propel the popular Grand Theft Auto franchise—delivered a stark warning about the direction of generative AI in video games, arguing that models trained on synthetic data will eventually degrade quality across the industry. Speaking on Virgin Radio UK, Houser said AI models that are scraping an internet increasingly populated with AI-generated content risk pushing the medium toward a recursive loop and collapse in quality. “As far as I understand it, which is a really superficial understanding, the models scour the internet for information, but the internet’s going to get more and more full of information made by the models,” Houser said. “So it’s sort of like when we fed cows with cows, and got mad cow disease.”  His comments come as generative AI increasingly becomes a part of video game development. A recent Google Cloud survey of 615 developers found that nearly nine in ten studios already use AI agents somewhere in their pipelines, with many saying those agents now influence live gameplay through real-time NPC behavior, tutorials, and automated testing. Experts, including Google CEO Sundar Pichai, argue that as original human-made material becomes harder to find online, development will struggle, and AI models will be forced to train on synthetic data produced by other models. That loop, Houser said, will eventually cause the information to degrade. “I can’t see how the information gets better if… The post ‘Mad Cow Disease’: Grand Theft Auto Dev Warns That Generative AI Could Harm Games appeared on BitcoinEthereumNews.com. In brief Rockstar Games co-founder Dan Houser warned that AI models scraping AI-generated data could trigger a creative breakdown in games. He warned that training AI on synthetic data would produce models that “mirror themselves” and degrade over time as original human work becomes harder to find. Houser said he “couldn’t see how the information gets better” as studios adopt tools built on increasingly self-referential datasets. Rockstar Games co-founder Dan Houser—one of the key figures who helped propel the popular Grand Theft Auto franchise—delivered a stark warning about the direction of generative AI in video games, arguing that models trained on synthetic data will eventually degrade quality across the industry. Speaking on Virgin Radio UK, Houser said AI models that are scraping an internet increasingly populated with AI-generated content risk pushing the medium toward a recursive loop and collapse in quality. “As far as I understand it, which is a really superficial understanding, the models scour the internet for information, but the internet’s going to get more and more full of information made by the models,” Houser said. “So it’s sort of like when we fed cows with cows, and got mad cow disease.”  His comments come as generative AI increasingly becomes a part of video game development. A recent Google Cloud survey of 615 developers found that nearly nine in ten studios already use AI agents somewhere in their pipelines, with many saying those agents now influence live gameplay through real-time NPC behavior, tutorials, and automated testing. Experts, including Google CEO Sundar Pichai, argue that as original human-made material becomes harder to find online, development will struggle, and AI models will be forced to train on synthetic data produced by other models. That loop, Houser said, will eventually cause the information to degrade. “I can’t see how the information gets better if…

‘Mad Cow Disease’: Grand Theft Auto Dev Warns That Generative AI Could Harm Games

2025/12/02 08:51

In brief

  • Rockstar Games co-founder Dan Houser warned that AI models scraping AI-generated data could trigger a creative breakdown in games.
  • He warned that training AI on synthetic data would produce models that “mirror themselves” and degrade over time as original human work becomes harder to find.
  • Houser said he “couldn’t see how the information gets better” as studios adopt tools built on increasingly self-referential datasets.

Rockstar Games co-founder Dan Houser—one of the key figures who helped propel the popular Grand Theft Auto franchise—delivered a stark warning about the direction of generative AI in video games, arguing that models trained on synthetic data will eventually degrade quality across the industry.

Speaking on Virgin Radio UK, Houser said AI models that are scraping an internet increasingly populated with AI-generated content risk pushing the medium toward a recursive loop and collapse in quality.

“As far as I understand it, which is a really superficial understanding, the models scour the internet for information, but the internet’s going to get more and more full of information made by the models,” Houser said. “So it’s sort of like when we fed cows with cows, and got mad cow disease.”

His comments come as generative AI increasingly becomes a part of video game development. A recent Google Cloud survey of 615 developers found that nearly nine in ten studios already use AI agents somewhere in their pipelines, with many saying those agents now influence live gameplay through real-time NPC behavior, tutorials, and automated testing.

Experts, including Google CEO Sundar Pichai, argue that as original human-made material becomes harder to find online, development will struggle, and AI models will be forced to train on synthetic data produced by other models. That loop, Houser said, will eventually cause the information to degrade.

“I can’t see how the information gets better if there’s not… they were already running out of data,” Houser said. “Algorithms will become saturated by the definition of how they are sourced and how they are therefore constructed, and it’s going to become this sort of mirror of itself.”

He also took a dig at executives pushing generative AI, suggesting that they “maybe aren’t fully-rounded humans.”

Houser left Rockstar Games in 2020 after more than two decades shaping blockbuster franchises like Grand Theft Auto, Red Dead Redemption, and Max Payne.

While Houser warned about the risk of quality information drying up online, developers are using AI to speed up production, with teams relying on agents for coding, localization, playtesting, and real-time NPC behavior. Small studios said AI helped them compete, while larger publishers struggled to adapt.

“If you’re not on the AI bandwagon right now, you’re already behind,” Kelsey Falter, CEO and co-founder of indie studio Mother Games, recently told Decrypt.

Jack Buser, global games director at Google Cloud, warned that studios that are unable to adapt may not survive the shift.

“Some of these game companies are going to make it, and some of them are not,” Buser told Decrypt. “And some are going to be born through this revolution.”

Major publishers like Ubisoft, Square Enix, Electronic Arts, and Krafton have recently announced major generative AI pushes, including integrating AI-powered tools and revealing experimental game projects. Such moves have come following widespread layoffs across the video game industry over the last couple of years.

Despite his warning, Houser said he still found the technology fascinating.

“I’m slightly obsessed by the fact that when you search for the same thing again, it doesn’t give you the same answer,” he said. “It’s wrong a lot of the time, but it says it so confidently.”

GG Newsletter

Get the latest web3 gaming news, hear directly from gaming studios and influencers covering the space, and receive power-ups from our partners.

Source: https://decrypt.co/350556/grand-theft-auto-dev-warns-generative-ai-could-harm-games

Piyasa Fırsatı
MAD Logosu
MAD Fiyatı(MAD)
$0.00000089
$0.00000089$0.00000089
-3.26%
USD
MAD (MAD) Canlı Fiyat Grafiği
Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen [email protected] ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

Ayrıca Şunları da Beğenebilirsiniz

Volante Technologies Customers Successfully Navigate Critical Regulatory Deadlines for EU SEPA Instant and Global SWIFT Cross-Border Payments

Volante Technologies Customers Successfully Navigate Critical Regulatory Deadlines for EU SEPA Instant and Global SWIFT Cross-Border Payments

PaaS leader ensures seamless migrations and uninterrupted payment operations LONDON–(BUSINESS WIRE)–Volante Technologies, the global leader in Payments as a Service
Paylaş
AI Journal2025/12/16 17:16
Fed Acts on Economic Signals with Rate Cut

Fed Acts on Economic Signals with Rate Cut

In a significant pivot, the Federal Reserve reduced its benchmark interest rate following a prolonged ten-month hiatus. This decision, reflecting a strategic response to the current economic climate, has captured attention across financial sectors, with both market participants and policymakers keenly evaluating its potential impact.Continue Reading:Fed Acts on Economic Signals with Rate Cut
Paylaş
Coinstats2025/09/18 02:28
Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Paylaş
PANews2025/09/18 07:00