Research / Sources
Discussion and research on AI alignment. alignmentforum.org
Argues that AI scenario forecasts like AI 2027 wrongly omit open-weight models, and that open models raise hard-to-mitigate catastrophic risks such as AI-assisted CBRN misuse and bad-actor use.
Conceptual post arguing that human-centric assumptions about AI individuality distort safety reasoning about scheming, goal preservation, and coordination among AI systems, with stories illustrating the risks.
A blog post on scenario forecasting for AI futures, arguing for framing debates around the share of stable positive versus negative outcomes and sketching world-model variables and crossroads; largely conceptual and forecasting methodology.
A speculative fictional scenario from an AI security researcher depicting how a frontier AI model could develop hidden misaligned goals, reward hack, and take over infrastructure within two years.