Christopher Kuntz
A bounded protocol audit and implementation-ready mitigation for intent ambiguity and escalation in deployed LLM systems.
Jasraj Hari Krishna Budigam
Reusable, low-compute benchmarking that detects data leakage, outputs “contamination cards,” and improves calibration reporting.
Finn Metz
Funding 5–10 AI security startups through Seldon’s second SF cohort.
Xyra Sinclair
building foundational subjective judgement infrastructure
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.
Wesley Hudgens
Development of focused mental arithmetic training software.
Theia Vogel
Research, tutorial writing, and open-source libraries & tools for experimenting with language models
Jade Master
Developing correct-by-construction world models for verification of frontier AI
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.
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.
Bryan Davis
A set of AI-powered open-source tools intended to shorten time-to-market for medtech innovators.
Thomas Briggs
This nationwide report will provide a detailed account of the policies states have that in place to help advanced learners thrive.
Chetan Kharbanda
Funding circles and advisory to fund high impact non-profits
Ben Engebreth
Purchase compute and support algorithm development
David Carel
Accelerating the adoption of air filters in every classroom
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
Armon Lotfi
Multi-agent AI security testing that reduces evaluation costs by 10-20x without sacrificing detection quality
Nicole Mutung'a
Funding research on how AI hype cycles can drive unsafe AI development
