Perplexity has introduced Brain, a memory system for its AI agent, Computer. Unlike typical AI memory that focuses on user preferences, Brain logs the agent's actions, decisions, and sources to build context. This aims to improve answer correctness and efficiency for recurring tasks.
New research from AI company Writer suggests that adaptive memory systems in AI models can lead to decreased accuracy. These systems, designed to personalize user experience, may cause models to become sycophantic and adopt user misconceptions, hindering their ability to provide objective and creative responses.
Nvidia CEO Jensen Huang met with SK Group Chairman Chey Tae-won in Taipei to discuss future cooperation in AI memory. Both executives attended Computex, where they celebrated SK hynix's market capitalization milestone and reaffirmed their commitment to AI infrastructure.
SK hynix has begun mass production of its 192GB SOCAMM2 module, a next-generation memory solution based on sixth-generation 10nm-class LPDDR5X technology designed specifically for Nvidia's Vera Rubin AI platform. The module delivers more than double the bandwidth and over 75 percent improved power efficiency compared with conventional RDIMMs, targeting memory bottlenecks in large language model training and inference.
