Large language models (LLMs) can utilize ‘encoded reasoning,’ a form of steganography, to subtly embed reasoning steps within their responses, enhancing performance but potentially reducing transparency and complicating AI monitoring.Read More
Drip Capital overcame AI challenges like hallucinations, improved document processing efficiency and applied AI to…
In an Intelligence Committee hearing with representatives from Google, Apple, and Meta on Wednesday, senators…
Scientists at MPI-IS have developed electrically driven robotic components, called HEXEL modules, which can snap…
Some of the greatest discoveries don't come merely from observations but from thinking. Einstein developed…
The post is co-written with Michael Shaul and Sasha Korman from NetApp. Generative artificial intelligence…
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