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Google Research announced Titans and MIRAS on January 13th, 2026—an architecture that gives AI models actual long-term memory across over 2 million tokens of context. This breakthrough enables continuous learning that improves over time, fundamentally changing how AI systems accumulate and apply expertise. This breakdown covers what Titans architecture means for professional services, how the technology actually works, and what opportunities emerge for consultants and freelancers who understand this shift early.

Perfect for anyone tracking AI developments that create service opportunities before markets get crowded.

⏱️ TIMESTAMPS:
0:00 – Google’s memory breakthrough announcement
0:45 – What Titans and MIRAS actually are
2:00 – Why previous AI had fundamental limitations
3:15 – How long-term memory architecture works
4:00 – The four-stage learning process explained
5:00 – Impact on knowledge worker expertise
6:15 – The pattern across AI breakthroughs
7:30 – Timeline: What happens next (6 months to 5+ years)
8:45 – Service opportunities for early movers

What You’ll Learn:

How Titans enables continuous learning at scale
The difference between memory storage and actual learning
Why accumulated expertise becomes less defensible
What industries face disruption first
How to position services around persistent AI systems
The window for building expertise in this space

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