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October 28 AI Daily Brief: Genie 4 and MAI-Image-2.7 Released

Google DeepMind released the interactive world model Genie 4, which supports natural language control and native audio. It is first being opened to Trusted Testers, with later integration into Google AI Ultra and the Gemini API. Microsoft AI launched the image editing model MAI-Image-2.7-Preview, ranking 3rd on Arena Edit and 2nd on AA-Image-Editing. Liquid AI open-sourced the LFM3 series of six 2B-class text, vision, audio, and omni-modal models, using a triple-hybrid architecture.

Anthropic Abolishes Coding Interviews: Felix Reiseberg Says "Hunger beats tenure"

Anthropic hiring manager Felix Reiseberg announced that the company will no longer use traditional coding interviews to evaluate candidates, citing the fact that Claude is already stronger than humans at both React challenges and assembly problems, and that truly impactful builders do not win through such tests. He advises junior engineers to pick an idea that can drive business impact, build a working prototype over the weekend, focus on just one good idea, and leverage their fresh perspective on users. On the same day, Google DeepMind released the Genie 4 world model, and Claude Opus 5.5 (58 points) topped the Artificial Analysis Intelligence Index v5.

DeepMind Releases Interactive World Model Genie 4

Demis Hassabis shared Google DeepMind's interactive world model Genie 4, saying it integrates real-time physics, reasoning, and audio capabilities. The official Google DeepMind account called it its most realistic and interactive world model to date, allowing real-time exploration of dynamic environments and observation of how scenes respond, produce sound, and how the people within them move, react, and speak. Hassabis also mentioned simulations nested within simulations.

Ethan Mollick on DeepMind's intelligence economics research: agent coordination capability is the key to economic transformation

Ethan Mollick commented on Google DeepMind's "The Economics of Intelligence" research, pointing out that an organization is not merely the sum of its best individuals, so a single agent becoming stronger will not change the economy on its own; only agents that can work in coordination may bring about transformation. The research, released by Alex Imas, Andrew Koh, and Shane Legg, proposes two thresholds of economic capability—capability and coordination—and argues that economic transformation depends on whether AI becomes a super-strong individual, super-strong collaboration, or both.

Arena: Gemini 4 Carbon pushes the Pareto frontier

Arena.ai says Gemini 4 Carbon pushes the Pareto frontier. The post it cites points out that Google DeepMind's Gemini 4 Carbon (High) has entered the Pareto frontier in Agent Arena, Code Arena: WebDev, and Text Arena; in Agent Arena it ranks #2, with a net improvement of +16.2% and a median cost per task of $1.80, 72% lower than #1 Claude Opus 5.5 (Max).

Gemini 4 Carbon ranks 2nd on Agent Arena with a net improvement of 16.2%

Arena.ai says Gemini 4 Carbon ranks 2nd in the real-task-based Agent Arena with a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in steerability. Arena says Carbon's availability will be announced by Google DeepMind.

Google Establishes AI Research Hub in Singapore, Partners with Ministry of Health to Deploy Frontier AI

Google has established a Google Research hub in Singapore and is partnering with Singapore's Ministry of Health to deploy frontier AI into the country's healthcare system. The hub focuses on foundational AI models and collaborates with the National University of Singapore and Nanyang Technological University to cultivate research talent; Google.org and Google DeepMind have invested $7 million in the Philanthropy Asia Alliance's Health for Human Potential Coalition, of which $1 million is for the PathGen disease detection platform. Google DeepMind will also work with the National University Health System to evaluate AI clinical assistant tools, and Google Cloud is partnering with NHG Health on population health programs.