🧠 ChatGPT’s Deep Research Now Available for All Users

Also: Amazon & Nvidia Confirm Strong AI Data Center Growth

Welcome, AI enthusiasts

ChatGPT’s powerful Deep Research feature is now open to everyone! Before just for Pro users - but now, Plus, Team, and even free users can tap into a lighter, budget-friendly version to dig deeper and get richer, well-researched answers. Let’s dive in! 

In today’s insights:

  • ChatGPT’s Deep Research Now Available for All Users

  • Amazon & Nvidia Confirm Strong AI Data Center Growth

  • Adobe’s Updated Models for AI image and video creation

Read time: 4 minutes

LATEST DEVELOPMENTS

Evolving AI: ChatGPT expands Deep Research access with new lightweight version.

Key Points:

  • OpenAI's Deep Research now accessible to Plus, Team, Pro, and free users.

  • Introduction of a lightweight model (o4-mini) maintains quality at lower cost.

  • Monthly usage limits vary by subscription level.

Details:

OpenAI has broadened access to its Deep Research feature, an advanced tool providing detailed reports within ChatGPT. Originally for Pro subscribers, it's now available for Plus, Team, and free users via a cost-effective lightweight version powered by the o4-mini model. Despite shorter outputs, the quality and depth remain comparable, making advanced research tools more affordable and widely accessible.

Why It Matters:

By opening Deep Research to more users, OpenAI makes fast, detailed insights easier to access. The new lightweight model keeps quality high while cutting costs. Students, researchers, and businesses can now get clear, reliable information without spending hours digging through sources. Some users have even switched from other tools to Deep Research because it cuts through the noise and gives them what they need. As more people adopt Deep Research, it could shift how industries approach everyday research.

Source: Nathan Howard | Bloomberg | Getty Images

Evolving AI: AI data center demand remains strong despite recession concerns.

Key Points:

  • Amazon and Nvidia report consistent growth in AI data center construction.

  • Wall Street concerns about tech pullbacks in data center investments are unfounded.

  • AI-driven energy consumption is expected to surge significantly.

Details:

Amazon’s VP Kevin Miller and Nvidia’s Josh Parker confirmed continued expansion of AI data centers, directly countering Wall Street speculations about investment slowdowns. Despite recent concerns sparked by Microsoft's project reductions, Amazon noted steady plans for growth. Nvidia echoed this, highlighting ongoing high demand. Industry leaders forecast significant increases in energy requirements, emphasizing the necessity of substantial new energy infrastructure.

Why It Matters:

Strong AI data center growth shows companies like Amazon and Nvidia are betting on AI’s future, even with recession fears. But rising energy demands are a real challenge. Data centers already use about 1.5% of global electricity, and AI could double that by 2030. Building smarter, more sustainable infrastructure will be critical as AI becomes a bigger part of daily life.

Source: Adobe

Evolving AI: Adobe rolls out new image and video AI capabilities.

Key Points:

  • Adobe's Firefly Image Model 4 delivers higher quality, speed, and user control.

  • The new Firefly Vector Model offers editable vector artwork creation.

  • Redesigned Firefly web app integrates models from OpenAI, Google, and Flux.

Details:

Adobe has unveiled its updated Firefly image generation tools, notably Image Model 4 and Model 4 Ultra, which significantly improve image detail and customization. The company is also opening its video generation model to all users, enabling text-to-video creation with precise control over scenes. The enhanced web app centralizes Adobe’s models alongside select external offerings, streamlining creative tasks.

Why It Matters:

Adobe has long built its own AI tools, like Firefly, to help creators generate images and videos. Now, it's adding models from OpenAI and Google into Firefly. This move suggests Adobe recognizes that its own models might not be enough to keep up with the rapid pace of AI development. This shift reflects a broader trend: even major companies are realizing they can't go it alone in the AI race. Collaborating and incorporating diverse AI models becomes essential to meet users' evolving needs and expectations.

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