The Path to Open Innovation: Peer-Review Under Fire (PRUF)
The field of Artificial Intelligence is advancing at an unprecedented pace, bringing both immense promise and significant challenges. While current models demonstrate remarkable capabilities, growing concerns around safety, alignment, transparency, and the inherent limitations of probabilistic systems highlight the urgent need for alternative approaches. the ThinkSpace PROJECT aims to address these challenges directly by developing and disseminating a fundamentally different kind of AI – one grounded in verifiable correctness and designed for safety from the outset. Supporting this research is crucial for navigating the future of AI responsibly.
Institutions
- Biokine (Israel) (IL)
- Neural Signals (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-18
- DOI
- https://doi.org/10.5281/zenodo.15243695
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00