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Near Infinite Memory in AI

From Hype to Reality. What’s Been Achieved in 6 Months?
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Uncover the real story behind Near Infinite Memory

At the end of 2024, Near Infinite Memory was a hot topic among AI enthusiasts. Microsoft promised a revolution, the media hailed a breakthrough, and the AI community buzzed with visions of systems that could remember every conversation for years.

Now, just six months later, the hype seems to have faded. What happened to all those bold promises? Has the technology truly advanced, or is it still stuck in the prototype phase?

Join our webinar to uncover the real story behind Near Infinite Memory, from its first demonstrations to its current real-world implementations. We’ll analyze which promises have been fulfilled, where the roadblocks are, and what this means for the future of AI in 2025.

This webinar is for AI specialists, product managers, CTOs, and anyone eager to distinguish genuine technological progress from marketing hype.

During the webinar, you’ll discover:

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Did Microsoft Deliver?

A comparative analysis of Mustafa Suleyman’s November 2024 announcements versus the actual implementations available in June 2025.

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Why Has Near Infinite Memory Disappeared from Headlines?

We’ll explore the reasons behind the drop in media attention and whether this signals a failure of the technology or simply a shift to quiet implementation.

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Where Is Infinite Memory Actually in Use?

A review of specific products, prototypes, and real-world applications that truly leverage this technology along with their current limitations.

Meet Our Speaker:
Bartosz Chojnacki

Generative AI Engineer and DevOps Specialist focused on designing and delivering advanced AI solutions. Expert in vector databases, Retrieval-Augmented Generation (RAG), and AIOps for automation and IT optimization. Skilled at developing and deploying AI-driven applications with scalable, efficient technologies. Certified Azure AI Engineer Associate with a track record of integrating AI into cloud environments. Passionate about innovation and always at the forefront of the evolving AI landscape. Known for proactive problem-solving and analytical thinking.

 

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