Reddit tip: skip textfusion MLP layers when training Krea2 LoRAs

A r/LocalLLaMA thread argues closed-source AI is more dangerous than open source, invoking "security through obscurity is no form of security." The post carries no new research, model, or incident.

A fully on-premise clinical LLM agent reached 90.04% accuracy on a seven-disease MIMIC-IV benchmark and 83.8% on a four-disease task, approaching a cloud baseline. Diagnostic behavioral consistency was the strongest correctness signal (AUC 0.860); at a 0.90 threshold, 49.4% of cases were handled autonomously at 98.9% accuracy.

A r/ChatGPT poster who recently updated the iOS app asks for guidance on choosing between ChatGPT modes for studying, research projects, and personal-assistant tasks. No specific modes, versions, or features are named in the post.

Amodei's Sept 12 essay proposes three steps: embedded third-party evaluators (Anthropic committing unilaterally, with desks, badges and laptops), democratic-lab coordination, and eventual international coordination. OpenAI followed; Elon Musk and Demis Hassabis endorsed. No lab committed to halting training runs or cutting spending.

Sequoia Capital interview with Box cofounder and CEO Aaron Levie covers reinventing a public company for AI while facing quarterly earnings pressure. Levie argues the value isn't only in the model.