Finn Metz
Funding 5–10 AI security startups through Seldon’s second SF cohort.
Centre pour la Sécurité de l'IA
Leveraging 12 Nobel signatories to harmonize lab safety thresholds and secure an international agreement during the 2026 diplomatic window.
Sean Peters
Measuring attack selection as an emergent capability, and extending offensive cyber time horizons to newer models and benchmarks
Parker Whitfill
Lukas Penkava
A virtual pet simulator that teaches reinforcement learning failures through simple and fun interactions.
Mirco Giacobbe
Developing the software infrastructure to make AI systems safe, with formal guarantees
L
Gergő Gáspár
Help us solve the talent and funding bottleneck for EA and AIS.
Miles Tidmarsh
Training AI to generalize compassion for all sentient beings using pretraining-style interventions as a more robust alternative to instruction tuning
Chris Canal
Enabling rapid deployment of specialized engineering teams for critical AI safety evaluation projects worldwide
Jade Master
Developing correct-by-construction world models for verification of frontier AI
David Rozado
An Integrative Framework for Auditing Political Preferences and Truth-Seeking in AI Systems
Martin Percy
An experimental AI-generated sci-fi film dramatising AI safety choices. Using YT interactivity to get ≈880 conscious AI safety decisions per 1k viewers.
Adam Morris
Train LLMs to accurately & honestly report on their internal decision-making processes through real-time introspection
Nicole Mutung'a
Funding research on how AI hype cycles can drive unsafe AI development
Orpheus Lummis
Seminars on quantitative/guaranteed AI safety (formal methods, verification, mech-interp), with recordings, debates, and the guaranteedsafe.ai community hub.
Furkan Elmas
Early-stage work on a small internal-control layer that tracks instability in LLM reasoning and switches between SAFE / WARN / BREAK modes.
Justin Olive
Funding to cover our expenses for 3 months during unexpected shortfall
Armon Lotfi
Multi-agent AI security testing that reduces evaluation costs by 10-20x without sacrificing detection quality
Leo Hyams
A 3-month fellowship in Cape Town, connecting a global cohort of talent to top mentors at MIT, Oxford, CMU, and Google DeepMind