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#aimodels

3 posts3 participants0 posts today
Soh Kam Yung

"An artificial intelligence (AI) model can predict where ancient Latin texts come from, estimate how old they are and restore missing parts. The model, called Aeneas and described in Nature today, was developed by some of the members of the team who created a previous AI tool that could decipher ancient Greek inscriptions."

nature.com/articles/d41586-025

www.nature.comMeet Aeneas: the AI that can fill in the gaps of damaged Latin textsThe best results come when a human and the model work together.
#Latin#History#Writing
Colin Cogle :verified:

I’ve read and contributed to @2600 for years, and I wish I could have written something as profound as “AI’s Zero Start Problem.” It sums up the fortitudes and foibles of artificial intelligence better than anyone. Shout out to you, @garrettblack.bsky.social@ap.brid.gy. (If you’re at #HOPE_16, come find me for a firm handshake.)

Want to read this article? Buy this quarter’s issue of 2600: The Hacker Quarterly.

#2600 #AI #artificialIntelligence #CurrentIssues #AIModels

BGDon

Techniques for monitoring the thoughts of AI reasoning models known as chains-of-thought or CoTs are now a thing to focus on.

Researchers from OpenAI, Google DeepMind, Anthropic, and others indicate CoT monitoring may be a key method for understanding how AI reasoning models work and could be a core method to keep AI agents under control.

COTs are an externalized process in which AI models work through problems, similar to how humans use a scratch pad to work.

DL the research paper here: tomekkorbak.com/cot-monitorabi

techcrunch.com/2025/07/15/rese #AI #AIReasoning #OpenAI #Google #DeepMind #Anthropic #COTs #Reasoning #AIModels #LLMs

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