New KV cache compaction technique cuts LLM memory 50x without accuracy loss

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

Understanding the Foundation: How LLMs Process Your Input

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Why you can remember every word of a song from 25 years ago – but not why you walked into the room

Forgetting why you walked into a room isn’t a sign of cognitive decline. It’s your brain doing exactly what it evolved to do.