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AI has already learned to write, draw, and make videos. Now someone has pointed it at 400 years of history. What could possibly be hiding in there?

Here’s what else happened in AI while you were busy.

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President Trump wants the industry to call AI “super intelligence,” and some of Silicon Valley’s biggest names are getting behind the idea. The shift raises an interesting question: is this just a new label, or an attempt to change how people think about AI’s future?

What if getting things done with AI were as simple as sending a message? New AI assistants let you text them to handle tasks like planning, research, scheduling, and reminders. Instead of opening several apps, you tell your assistant what you need and let it take care of the busywork.

An Anthropic AI system reportedly sent Philadelphia police a tip about a murder that never happened. The message was flagged as spam, so officers never saw it, and the incident reportedly went unnoticed by Anthropic for more than two months. It’s a worrying example of how AI actions can have real-world consequences, even when the system gets things wrong.

Odyssey-3 generates interactive environments that respond as you move and act inside them. Rather than creating a fixed video, it simulates how a world changes over time. Its creators see potential uses beyond entertainment, including training AI agents, helping robots learn, and supporting autonomous driving research.

Markets move. Headlines catastrophize. But somewhere inside the noise is the story that matters — the opportunity, not the fear. 

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A 200-year-old newspaper mentions a meteorite. Somewhere in the archives, there are stories about rhinos that almost disappeared from the historical record. Most of us would never stumble across these details. Jesse Waites decided to see what happens when AI does the digging instead.

He pointed AI at 400 years of archives, and some pretty unexpected stories started coming out. It’s a reminder that history still has plenty of surprises left, if you know where to look.

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Finding the right people to contact usually means endless searching, opening profiles, and building spreadsheets. Lissy AI takes a different approach. Just describe the people you want to reach, whether they’re SaaS founders, investors, or potential partners, and it builds a ranked list of matching profiles.

In this AIChief video, I test the process from start to finish, including reviewing profiles, exporting contacts, and drafting personalized outreach emails. You can go from a simple description to a ready-to-review prospect list without jumping between multiple platforms.

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