Mirco Giacobbe
Developing the software infrastructure to make AI systems safe, with formal guarantees
Theia Vogel
Research, tutorial writing, and open-source libraries & tools for experimenting with language models
Justin Bianchini
A modular gene-editing platform for engineering new pigment patterns in ornamental plants, starting with a vein-pattern rescue line in petunias.
Nicole Mutung'a
Funding research on how AI hype cycles can drive unsafe AI development
Furkan Elmas
Early-stage work on a small internal-control layer that tracks instability in LLM reasoning and switches between SAFE / WARN / BREAK modes.
Vatsal
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.
Ben Engebreth
Purchase compute and support algorithm development
Pedro Bentancour Garin
Building the first external oversight and containment framework + high-rigor attack/defense benchmarks to reduce catastrophic AI risk.
David Carel
Accelerating the adoption of air filters in every classroom
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
Michaël Rubens Trazzi
Funding gap to pay for a video editor and scriptwriter
Chris Wendler
Help fund our student’s trip to NeurIPS to present his main conference paper on interpretable features in text-to-image diffusion models.
Andrei Tumas
Research agenda aimed at developing methods for constructing powerful, easily interpretable world-models.