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Mercy Kyalo
Operational costs for AISEA
Jessica P. Wang
Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.
Xyra Sinclair
scraping everything relevant and giving people's agents readonly SQL access + agent knowledge emission protocol
Aashkaben Kalpesh Patel
Nutrition labels transformed food safety through informed consumer choice, help me do the same for AI and make this standard :)
Mateusz Bagiński
One Month to Study, Explain, and Try to Solve Superintelligence Alignment
Anthony Etim
Defense-first monitoring and containment to reduce catastrophic AI risk from stolen frontier model weights
Larry Arnold
A modular red-teaming and risk-evaluation framework for LLM safety
MANRAJ SINGH
Exploring ways of Benchmarking that do not get saturated over time
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
Tomasz Kiliańczyk
Translating an AI safety report (1k+ downloads) for peer-reviewed publication to formalize "Emergent Depopulation" as a novel systemic risk.
