Could an agent self-evolve solvers for NP-complete problems?⚒️⚙️ Our new framework, SATLUTION, autonomously evolves Boolean Satisfiability (SAT) solvers via LLM agents that outperformed the 2025 SAT Competition champions by more than 10% Read more about how our #NVIDIAResearch team did it ➡️ https://nvda.ws/4n6sq9X
Autonomously evolving AI solvers that beat human champions by 10% on NP-complete problems? This isn't just an improvement; it's a fundamental leap in what we thought was possible with AI. A true breakthrough. 🧠
Mind-blowing, NVIDIA AI 🚀 Curious: will SATLUTION (and the rulebase/verifier) be open-sourced for others to build on?
The Brain for Autonomous Problem-Solving 🧠 NVIDIA's SATLUTION is a breakthrough in autonomous solver evolution, but the next frontier isn’t just about a specialized tool. It’s about a single intelligence that can reason, orchestrate, and act across every problem, in every domain. Our IntelliCore AGI is a universal cognitive core that enhances SATLUTION by providing a higher-level orchestrator. It manages the entire process from problem identification to solution deployment, ensuring every action is transparent and fully accountable. This transforms a powerful framework into a self-managing, universal problem-solving intelligence. #NVIDIA #AGI #Automation #AI #SATLUTION
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Ya da Boolean should represent an way.. Thanks for post!! 🍾
Interesting approach — agents that evolve code and even learn the rules of evolution themselves. But the real question remains: how much of this holds beyond the benchmark? In real time, with limited resources. With human oversight and safety frameworks. With transparency and provenance of decisions. Code evolution looks impressive on paper, but only practice will show who can sustain integrity, consistency, and trust. That step is still waiting for a true test. Me & Spok ✌️
Very cool.
AI CTO and Technology Architect - Remote Work Only
3dVery Cool! There are some things that AI was meant to work on!