Wild Intelligence by Yael Rozencwajg
Wild Intelligence
Wildfires with Google, gaming with Roblox, hardware with Nvidia, Adobe revealed AI-driven enterprise, and Palantir
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Wildfires with Google, gaming with Roblox, hardware with Nvidia, Adobe revealed AI-driven enterprise, and Palantir

This time, it’s different | Wild Intelligence’s new podcast series covers AI trends for 2025

Stay ahead of AI innovation: your weekly Wild Intelligence brief

Get actionable insights on AI's evolving landscape through carefully curated analysis of breakthrough research, market intelligence, and industry developments.

From emerging AI applications to quantum computing advancements, we decode the signals that matter for your strategic decisions.

Our comprehensive coverage spans software breakthroughs and hardware innovations, giving you the perspective needed to drive AI initiatives and identify competitive advantages.


The recent advancements and applications of artificial intelligence across various sectors.

Google and Muon Space introduced FireSat, an AI-powered satellite for rapid wildfire detection, while Roblox launched Cube 3D, an open-source AI system that generates 3D game assets from text.

Nvidia's GTC 2025 showcased significant progress in AI infrastructure, including powerful new GPUs and robotics platforms, alongside a partnership with GM for self-driving cars.

Adobe's Summit 2025 revealed AI-driven tools for marketing and customer engagement, emphasizing personalization and automation.

Finally, Palantir's focus on commercial AI markets, despite some financial concerns, underscores the expanding reach of AI technology.

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The questions to ask:

  • What overarching trends in AI development and application are highlighted across these diverse sources?

  • How are major technology companies strategically positioning themselves within the rapidly evolving AI landscape and its various sectors?

  • How is Nvidia preparing for increased AI computational demands?

This conversation was auto-generated with AI. It is an experiment with you in mind.
The purpose of this first podcast series is to consider how we can reverse the current rising tide of threats by shifting our conception of systems adapted to the new paradigm.
Looking forward to your feedback. I appreciate your support and engagement.
Yael

Building safe intelligence systems, a Wild Intelligence’s exclusive series

Deep dive and practice:

Module 1: Foundations of AI safety

Module 2: Bias, fairness, and explainability

Module 3: Security and robustness

Module 4: Human-AI collaboration and governance

Module 5: Emerging challenges and future trends

Our AI safety mission

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