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A few scratches on a Roman stone sat unexplained for centuries.
Now, artificial intelligence may have solved the mystery.
Researchers combined wear-pattern analysis with AI simulations to reconstruct the possible rules of Ludus Coriovalli, a forgotten Roman board game. It’s a reminder that AI isn’t just shaping the future, it’s helping us rediscover the past.
Inside today’s newsletter:
Scientists use AI simulations to decode a lost Roman board game
Latest Updates from the AI Industry
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GPT-5.3 Instantly improves how AI performs web search
Five AI tools to help generate brand and domain names
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What if artificial intelligence could reconstruct the rules of a lost Roman board game using nothing but scratches worn into an ancient stone?
Researchers analyzed wear patterns on a Roman limestone board and ran AI simulations of historic games to reconstruct likely rules for Ludus Coriovalli, suggesting it functioned as a strategic blocking game.
Key Points
Mysterious board: A carved limestone stone from Roman Coriovallum had a unique pattern not matching any known board game.
Wear clues: Abrasion along specific lines suggested repeated movement of game pieces during play.
AI reconstruction: Researchers simulated 130 rule variations to test which gameplay patterns matched the wear marks.
Likely rules: Results point to a blocking-style game, where one player traps the opponent’s pieces.
Bigger insight: AI-assisted archaeology may help reconstruct other lost games and cultural practices from fragmentary artifacts.
Google’s March Pixel update boosts Gemini AI with agentic tasks like ordering groceries and rides, while Circle to Search now breaks down outfits, adds virtual try-ons, and expands smart features across Pixel devices.
Anthropic is rolling out Voice Mode for Claude Code, letting developers control coding with spoken commands. The feature launches to 5% of users first as competition heats up among AI coding assistants.
OpenAI’s GPT-5.3 Instant reduces ChatGPT’s preachy tone and “calm down” responses, aiming for clearer, more natural conversations after user backlash over patronizing replies that assumed emotional distress during simple queries.
Alibaba’s Qwen AI project faces turmoil as key technical leader Junyang Lin departs just after the Qwen 3.5 model launch, raising questions about leadership stability amid intensifying global AI competition.
Just AI Things
Web search in AI isn’t just about finding information anymore. It’s about understanding why you’re asking.
GPT-5.3 Instant improves web search by delivering more natural responses that blend search results into conversation, avoiding robotic link dumps while providing clearer, contextual answers tailored to the user’s question.
The model also better interprets user intent, adjusting explanations based on context, such as travel planning or unfamiliar topics, ensuring answers remain relevant, informative, and aligned with the user’s purpose.
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A few worn lines on a stone once looked like meaningless scratches. Now, AI may have turned them into the rules of a game played nearly two thousand years ago.
That’s the strange power of modern AI. Sometimes it doesn’t just build new things. It helps us understand the ones humanity already left behind.
P.S. If you enjoy discovering how AI is changing everything from archaeology to coding tools, you’ll want to keep an eye on what’s coming next.
See you in the next issue.
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