Our work, in the open.
Papers, whitepapers, and case studies from Rainwater Labs — alongside the third-party research that shapes how we think. Everything we publish is open by default.
DEW: Responsible AI, Built for Children
his paper describes DEW, an open-weight AI assistant built for children; the evidence and international standards that shape it; and the architectural principles on which it is built. The foundation weights and training methodology will be released as open source on GitHub (coming soon), under the Apache License 2.0.
Guidance on AI and Children — Version 3.0
Children should be empowered with access to, and opportunity to benefit from, AI systems. Building on this foundation, the guidance presents ten requirements for child-centred AI, complementing key work already underway, but with a central focus on children.
Top American AI Execs Sound Alarm on Chinese Models
OpenAI and Anthropic executives are sounding the alarm about the rise of cheap AI, particularly powerful new models produced in China, suggesting they will lead to a “dystopian” AI future and present unacceptable security risks without regulation.
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models:
The paper proposes SocraticLM, an approach that achieves a Socratic, “thought-provoking” teaching paradigm. How it fulfills the role of a real classroom teacher by actively engaging students in the thought process required for genuine problem-solving mastery.
AI Chatbots Have an “Empathy Gap” That Children Are Likely to Miss
The research, by a University of Cambridge academic, provides evidence that children are particularly susceptible to treating AI chatbots as lifelike, quasi-human confidantes, and that their interactions with the technology can often go awry when it fails to respond to their unique needs and vulnerabilities.
New papers, in your inbox.
A short note when we publish something new — research, whitepapers, and the outside work worth reading. No noise.
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