Crimson Desert studio is implementing AI "throughout our entire development pipeline," and expects DokeV to launch in 2028

eurogamer.net Nov 13, 2026

Crimson Desert studio is implementing AI “throughout our entire development pipeline,” and expects DokeV to launch in 2028

Curated by Shubham · TechCapsules · Nov 13, 2026

AI-summarised brief · reviewed before publication

Crimson Desert and its partner Pearl Abyss announced that generative AI will be integrated throughout their entire development pipeline, citing faster concept validation and resource allocation. The studio clarified that AI supports design testing and repetitive tasks, while core gameplay and content remain human‑crafted. Pearl Abyss highlighted the use of AI in content creation support and test optimization, and noted that the creature‑collector title DokeV is now slated for a second‑half 2028 release, after earlier delays. The company also plans a Nintendo Switch 2 launch in early 2029.

💡 Why It Matters

· By embedding AI across all stages, the studio aims to accelerate production and improve quality, potentially setting a new industry standard for efficient game development.

AI Capsules Gaming

Read full article on eurogamer.net

iOS 27.3 adds three new features I’ve used almost every day

Apple’s upcoming iOS 27.3 introduces three daily‑use features, notably an expanded Siri AI with new app actions across Calendar, Mail, Maps, and more, enhancing voice‑driven tasks. The Health app receives a redesign and AI‑driven insights, offering personalized recommendations and educational content. For Apple Watch Series 12 and Ultra 4 users, Siri Recap records conversations and generates concise summaries stored for seven days, providing a temporary memory aid. These updates aim to deepen AI integration and user convenience.

💡 By embedding AI into core apps, Apple moves toward a more seamless, conversational ecosystem that can reduce manual input and improve daily productivity. The Health app’s personalized insights and the Watch’s memory‑aid feature demonstrate a shift toward proactive, data‑driven user support.

9to5google.com · Nov 13

You can now set up Gemini’s Google Wallet integration for ‘personal finance…

Google has added a Google Wallet integration to its Gemini AI app in the United States, enabling the assistant to generate responses informed by users’ spending habits. The feature uses Plaid to securely link credit card and bank accounts, but the connection is read‑only, giving Gemini no ability to move or invest funds. Users can enable or disable the link through Gemini’s Customize > Connectors interface on Android, iOS, and web. Google markets the addition as part of its Personal Intelligence suite, which also includes Gmail, Photos, Search, and YouTube data.

💡 By tapping into users’ financial data, Gemini can offer more tailored budgeting and spending insights, setting a new standard for AI‑driven personal finance tools.

techcrunch.com · Nov 13

Export-banned Nvidia chips are behind China’s most powerful AI models — uh-oh,…

A new study shows that China’s leading open‑weight AI models were trained on Nvidia’s Blackwell GPUs, which the U.S. has banned from export to China. The research, led by former OpenAI researcher Will DePue, identified chip fingerprints in models from DeepSeek, Moonshot AI, MiniMax, and Ant Group. Nvidia’s CEO Jensen Huang resigned amid allegations that his company’s executive, Alice Huang, facilitated smuggling of banned chips. U.S. export controls aim to protect American AI leadership, but the findings reveal widespread circumvention.

💡 The discovery exposes a critical loophole in U.S. tech‑export policy, undermining efforts to curb China’s AI advancement. It also signals potential legal and reputational risks for Nvidia and its partners, reshaping the global AI supply chain.

9to5mac.com · Nov 13

Perplexity brings AI agents feature called Teammates to the Mac

Perplexity has launched its new proactive AI feature, Teammates, on the Mac, expanding a capability previously limited to iOS and web. The feature deploys multiple AI agents that autonomously manage tasks such as growth campaigns, bug triage, metric tracking, and market research, coordinating with additional agents as workload increases. Teammates operate continuously, plan tasks, and deliver completed results for user review. Access requires a paid Perplexity Max subscription, and the feature builds on the platform’s existing AI orchestration system.

💡 By automating routine and complex workflows, Perplexity’s Teammates could shift how professionals allocate time, potentially redefining productivity standards in digital marketing, support, and research.

techcrunch.com · Nov 13

AI agent startup LangChain hits $3B valuation

LangChain, an agent‑management startup, secured $300 million in a Series C round, elevating its valuation to $3 billion. The funding, led by CapitalG, also saw participation from GIC, DFJ Growth, IVP, and Sapphire Ventures. Founded in 2022 from an open‑source project, LangChain now focuses on AI agent orchestration through its LangSmith platform, which claims 7,000 customers, including Nvidia, Toyota, and Salesforce. The round more than doubles the company’s previous $1.25 billion valuation.

💡 The investment signals growing confidence in AI agent infrastructure as enterprises seek flexible, model‑agnostic solutions to deploy custom intelligence at scale.

windowslatest.com · Nov 13

“No path to real use”: a veteran Microsoft AI scientist quits, says…

John Langford, a 14‑year Microsoft Research veteran and co‑founder of its AI Frontiers lab, resigned after his team of roughly 50 researchers was absorbed into Microsoft AI, a division led by Mustafa Suleyman that prioritizes scaling over research. Langford claims the new structure ignores cost‑cutting innovations such as his Full Bandwidth Transformer, which could halve AI training and inference expenses. He notes similar breakthroughs have already been validated at ByteDance, yet Microsoft AI remains focused on larger models and data.

💡 The departure signals a widening rift between foundational research and commercial scaling in the AI industry, potentially stifling breakthroughs that could dramatically reduce costs and broaden accessibility.