LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...

As the first quarter of the 21st century draws to a close, we’re living in an era marked by not only paradigm-shifting technologies but also the unprecedented pace of advancement in these same ...

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...

Researchers continue to find vulnerabilities that dupe models into revealing sensitive information, indicating that security measures are still being bolted onto AI. A series of vulnerabilities ...

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