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Thousands of years ago, someone left something hidden beneath the ground.
Nobody knew it was there. Now AI is helping researchers spot clues that human eyes had missed, turning ancient sites into a new testing ground for modern technology.
Here's what else happened in AI while you were busy.
A mystery AI coding model appeared with no known creator
Gemini Notebook prompts worth stealing
Amazon just raised some device prices by up to 60%
AI is starting to make battlefield decisions
Someone summarized 1,000 AI research papers
AI uncovered hidden clues at ancient sites
3 fresh AI tools worth trying
How to claim up to $5,000 in AWS credits
“I don’t want to really scare you, but it was alarming how many people I talked to who are highly placed people in AI who have retreats that are sort of ‘bug out’ houses, to which they could flee if it all hits the fan.”
— James Barrat
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⚡ Meanwhile in AI
Your next Echo, Kindle, or Fire TV could cost a lot more. Amazon has raised prices across several hardware lines, with some products jumping by as much as 60%. The company says rising memory and storage costs forced the change, with the Echo Dot taking one of the biggest hits.
AI is already being used on the battlefield, but a recent incident takes that conversation somewhere darker. A Russian drone reportedly used AI to guide itself and select a target, raising new questions about what happens when machines start making more of the decisions once left to humans.
Keeping up with AI research is practically a full-time job. 1K Papers takes a different approach, organizing more than 1,000 important AI papers from the past year into searchable summaries by topic, research lab, citations, and more. The project also benchmarked the cost of summarizing the entire collection.
What if you could train AI on archaeological sites that don't actually exist yet? Researchers used simulated archaeological sites to train a model to spot hidden features in LiDAR data, helping reveal structures and patterns that might otherwise be missed when real training examples are scarce.
A mysterious coding model called Ox Alpha suddenly appeared on OpenRouter with a huge context window and surprisingly strong coding capabilities, but no company has publicly claimed it. Early tests quickly put the model on developers' radar, especially for long-running coding and agentic tasks.
The bigger mystery is what's happening behind the scenes. Nobody knows for sure who built it, who operates it, or where developers' code actually goes, leaving the AI community to investigate the model's origins.
Scroll Break

Some of the best ways to use Gemini Notebook start with a good prompt.
Google is highlighting creative prompts people are using to turn their notebooks into more useful research and learning tools, from getting better answers from your sources to creating new ways to explore the information you've collected. Gemini Notebook is built around working with your own sources and instructions, so the right prompt can completely change what you get back.
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— Team AIChief
