Hey there,

AI begin slipping into meetings, workflows, and your inboxes as a quiet co-pilot. Supercomputer, AI platforms, and world-model families changes your trajectory.

Where would different focused AI helpers vacant mostly your attention?

Marble

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Marble changes text prompts, photos, or videos into editable 3D environments you can explore, expand, and export.

Best for

• Game developers and VFX artists creating 3D environments with precise camera control

• VR creators building explorable worlds for Vision Pro and Quest 3

How to use it

• Upload images, videos, or text prompts to generate different 3D worlds

• Use Chisel editor to block out spatial layouts before AI adds visual details

• Exported as Gaussian splats, meshes, or videos for Unity/Unreal Engine

When not to use it
Need sequential video content for social media? Use traditional AI video generators instead. Marble creates persistent 3D spaces, not video clips.

Professional advice
Use "composer mode" to combine multiple generated worlds into larger explorable spaces - perfect for creating entire game levels or VR experiences.

🌍 Runway Launches GWM-1, World Models Go Multi-Purpose

Runway released GWM-1, its first general world model family, split into three versions: one for gaming, one for robot training, and one for conversational avatars. Built on Gen-4.5, it runs at 24fps in 720p and responds in real-time to cameras, robots, and audio. Gen-4.5 also now supports native audio and multi-shot video editing.

Read the full article here »

Primary Takeaways:

• 🎮 Three Flavors: GWM Worlds for explorable VR spaces, GWM Robotics for robot training data, GWM Avatars for conversations with natural lip-sync

• 🤖 Enterprise-Ready: GWM Robotics comes with a Python SDK, with deals in progress for simulation-based testing.

• 🎬 Gen-4.5 Upgrade: Handles audio, multi-shot sequences, and difficult camera angles, competing with AP platforms.

• 🔮 Industry Changes: Shows growing focus on world model families that already simulate reality rather than predict text.

🎛️ Elon Musk’s xAI Expands AI Supercomputer

Elon Musk’s AI startup xAI bought a third-building for the expansion of supercomputer Colossus, aiming for nearly 2 gigawatts of compute power. The new Memphis facility will eventually house over a million GPUs and help xAI compete with OpenAI and Anthropic on advanced AI models. Construction will start in early 2026 near a natural gas power plant to support the high energy demand.

Read the full article here »

• 🖥️ SuperComputer: The building will add capacity for over a million GPUs.

• 🔥 Prime Location: Located near power sources to handle energy needs.

• ⚡ AI Ambitions: Expansion supports xAI’s push for larger, advanced models.

• 🌱 Energy Impact: Large data centers consume huge amounts of energy.

⚖️ AI Copyright Battles Enter Latest Pivotal Year

The fight over how tech companies use copyrighted material to train AI is reaching a turning point in 2026. Courts will decide if companies like OpenAI, Google, and Meta can rely on fair use or if they must pay creators. Early rulings have been mixed, showing the rules for AI training are still nowhere from being distinct.

Read the full article here »

Primary Takeaways:

• 📚 Fair Use Debate: Courts are weighing whether AI training qualifies as transformative use or infringes on creators’ rights.

• ⚖️ Divided Rulings: Some judges see AI as justified competition, others warn it could flood markets and threaten human creators.

• 💰 Big Settlements: Anthropic reached a $1.5 billion class action payout, while Disney invested $1 billion in OpenAI and licensed characters for AI use.

• 🔮 Looking Ahead: More 2026 hearings could expand fair use for AI or introduce new licensing rules changing worldwide industries.

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Until next time,