Karen A. Brown
Filmmakers, musicians, and comedians team w/AI safety researchers transforming technical concepts into compelling viral shorts making critical risks consumable.
Warren Johnson
Novel safety failure modes discovered across 7 LLM providers with 35,000+ controlled inference trials. Targeting NeurIPS 2026.
Jessica P. Wang
Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.
Haakon Huynh
Aashkaben Kalpesh Patel
Nutrition labels transformed food safety through informed consumer choice, help me do the same for AI and make this standard :)
Matthew Farr
I self-funded research into a new threat model. It is demonstrating impact (accepted at multiple venues, added to BlueDot's curriculum).
Larry Arnold
A modular red-teaming and risk-evaluation framework for LLM safety
Cefiyana
Developing an Edge-AI framework to reduce response latency to <0.6s, mitigating user cognitive stress and establishing "Digital Pharmacotherapy" standards.
Finn Metz
Funding 5–10 AI security startups through Seldon’s second SF cohort.
Vahit FERYAD
Build an agentic LLM+VLM pipeline that generates product visuals and automatically verifies identity, color, and artifacts, enabling scalable, trustworthy e-com
Adithyan Madhu
Building an open-source protocol to ensure that digital luck and high-stakes selections are provably fair, transparent, and beyond the reach of centralized bias
Igor Labutin
A tech-infused immersive musical. Experience the future of storytelling where artificial intelligence meets the depths of human emotion.
Mirco Giacobbe
Developing the software infrastructure to make AI systems safe, with formal guarantees
Justin Bianchini
A modular gene-editing platform for engineering new pigment patterns in ornamental plants, starting with a vein-pattern rescue line in petunias.
Theia Vogel
Research, tutorial writing, and open-source libraries & tools for experimenting with language models
Markus Englund
Continue developing ‘copy-paste-detective’ - a software that detects signs of data fabrication in scientific research - and run it against 20,000 publicly available Excel datasets.
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
GG
Developing and commercializing an alternative to feeder rodents—tackling one of the most neglected and high-suffering forms of factory farming.
Reconstructs longitudinal patient state, identifies causal drivers, and runs simulations to prevent high severity clinical failures under fragmented data.