Perplexity just introduced Brain, a filesystem-based memory architecture for its Computer AI agent. Instead of stuffing chat history into the prompt or relying on fragmented vector databases, Brain organizes context into an interconnected Markdown wiki backed by Git. Background "Dream" agents update the knowledge offline, giving the agent long-term recall of user preferences without bloating context windows.
Perplexity just upgraded Spaces into Projects, giving users a persistent hierarchical file system and a self-improving memory engine called Brain. Humans and agents can now edit shared files simultaneously without starting from scratch, while pulling context from over 400 integrations like Google Drive and GitHub. Existing Spaces migrate automatically, turning Perplexity into a true shared workspace.
Perplexity just rolled out Brain for Computer, a self-improving memory layer that connects context across past sessions to boost accuracy by 25% while trimming costs by 13%. The update also introduces Claude Fable 5 as a multi-step task orchestrator, allows mid-task model switching, and adds one-click web publishing to pplx.app or custom domains.
Meta just unveiled Brain2Qwerty v2, an end-to-end AI system that decodes sentences in real time from non-invasive MEG brain recordings, along with open-sourcing its full training code. By processing raw neural data with deep learning and fine-tuned LLMs, it achieved a 61% word accuracy rate—nearing surgical implants. Why it matters: Scalable non-invasive BCIs could restore communication for millions with speech impairments without risky brain surgery.
Perplexity just rolled out Brain, a self-improving memory architecture for its Computer agent. Instead of simply saving user preferences, Brain tracks what worked and what failed, reviewing a context graph overnight. Early tests show it boosts answer accuracy by 25% and cuts token costs on repeat tasks by 13%.
