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What's new in AI

What's new in AI: 28 Oct 2026

28 Oct 2026 · All digests

Key developments in AI this week include new multimodal models, enterprise integrations, research breakthroughs, policy debates, and web-based AI deployment standards.

Google's Genie 4 world model adds audio, more realistic worlds, and real-time steering

Google announced Genie 4, a world model that supports audio, more realistic physics, and real-time scene steering, extending consistent scenes to two minutes.

Understanding such multimodal models is key for building interactive AI experiences.

Source: TechCrunch AI

OpenAI expands partnership with Oracle to bring its apps to ChatGPT

OpenAI and Oracle expanded their partnership to integrate Oracle's business applications and AI agents directly into ChatGPT.

This shows how AI is being embedded in enterprise software, a trend learners must follow.

Source: OpenAI

OpenAI announces three big science discoveries and a new way to work with academics

OpenAI reported three major scientific breakthroughs in mathematics, computer science, and physics, and introduced a new collaboration framework for academic researchers.

These discoveries illustrate the cutting-edge research capabilities of large language models.

Source: The Verge AI

Data center backlash is uniting America

The Verge reported that growing public concern over data-center construction is influencing political debates and voter sentiment across the United States.

Policy around AI infrastructure will affect where and how AI workloads are deployed.

Source: The Verge AI

Opera introduces a new web standard to let users deploy AI locally in their browser

Opera launched WebAI, a new web standard that enables browsers to run AI models locally, supporting a variety of model types without server calls.

Local AI inference reduces latency and privacy risks, an important skill for modern web developers.

Source: TechCrunch AI

What to learn from this

Turn today's news into a plan

This week study how to run AI models in the browser using the WebAI standard and explore the architecture of multimodal world models like Genie 4. Learning these topics will prepare you to build interactive, privacy-preserving AI applications.

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