MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

Most Fridays, I share a handful of pieces that caught my eye at the intersection of technology, media, and society. Did I miss something important? Send me an email to let me know. There’s so much ...

Religious Leaders Warn Of 'Alarming Consequences' When Machines Speak In The Name Of God. I (Adam) am chatting with the“Apostle Stephen”, an online chatbot created by the Redeemed Christian Church of ...

AI Market, Funding, Revenue and Unicorn Playbook AI Market Global AI market size was valued at more than $390.91 billion in ...

Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...

Discusses Product Innovation With Headless 360 and Slackbot May 29, 2026 2:00 PM EDTCompany ParticipantsValmik Desai - ...

Krishna Permi, an independent developer from Bengaluru, has created a keyboard app for iPhone that runs entirely on-device, requires no internet, and collects no user data.