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Google establishes a research hub in Singapore, providing over $6 million in research funding to NUS and NTU

Google has established a research hub in Singapore and is investing more than $6 million in research funding in the National University of Singapore (NUS) and Nanyang Technological University (NTU), covering areas such as Alzheimer's disease research, computational efficiency and regional language processing, and AI safety. Of this, NUS receives a $1.5 million AI for Science Google.org Impact Challenge Grant, NTU receives $340,000 for four AI safety research projects, and there is an additional $750,000 AI for Science Capacity Fund Grant. Google.org and Google DeepMind are also providing $3 million to the INSEAD Singapore Thrive Lab.

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.

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.