Naomi Bashkansky resigned from OpenAI to become a Founding Researcher at Conduit, where she is working on developing telepathy through thought-to-text models. Conduit is collecting large amounts of non-invasive neural data to facilitate this technology.

1,134 employees from frontier AI companies assert that while AI has the potential to create a significantly improved future, there are risks associated with rapid capability development. They indicate that the automation of AI research could accelerate progress beyond current understanding or control.

Alan Bellows, founder of Damn Interesting, has sustained the project for nearly twenty years through part-time engineering jobs while dedicating the rest of his time to research, writing, editing, and podcasting. Recent changes in the landscape have prompted reflections on the future of the project.

Big AI labs are increasingly hiring philosophers to address complex ethical and societal challenges posed by AI technology. The shift reflects a growing recognition that philosophical insights are essential for navigating the implications of AI advancements.

ChatGPT 5.5 Pro can produce PhD-level research in approximately one hour with minimal mathematical input. Large language models are increasingly capable of solving complex research-level problems, including those related to the Erdős conjectures.

FORTH and associative/applicative languages may be more suitable for transformer architectures than traditional top-down problem-solving methods. Generating outputs before their constituent parts could enhance the effectiveness of large language models.