Artificial General Intelligence Research
Pioneering the Next Frontier
At NeuronX, we're pursuing a distinctive approach to Artificial General Intelligence (AGI) research, focusing on developing systems with bounded rationality that operate effectively within realistic computational and environmental constraints. Our mission is to advance fundamental AGI capabilities while maintaining a pragmatic orientation toward real-world applications.
Research Focus Areas
Scalable Alignment Methodologies - We're developing novel techniques that ensure AGI systems remain aligned with human values as they scale in capability. Our research team is pioneering methods that go beyond current RLHF approaches, exploring intrinsic motivation models and interpretability breakthroughs that provide robust safety guarantees.
Foundational Cognitive Architectures - Our theoretical work explores modular neural systems that combine specialized reasoning modules with meta-cognitive orchestration. We're investigating architectures that integrate Bayesian inference, causal reasoning, and symbolic manipulation with deep learning foundations.
Resource-Constrained Intelligence - Unlike approaches that focus solely on scaling parameters, we're researching how to achieve generality with orders of magnitude less computation. This includes developing sparsity-aware architectures, algorithmic innovations for sample efficiency, and information-theoretic approaches to knowledge acquisition.
Research Environment
Our AGI research division offers a unique combination of academic freedom and practical impact. Researchers have access to:
- State-of-the-art computational infrastructure optimized for AGI research
- Collaborative teams bridging multiple disciplines from neuroscience to mathematics
- Freedom to publish novel findings in top-tier conferences and journals
- A flat organizational structure that empowers researchers to pursue promising directions
- Regular engagement with a network of academic partners and industry experts
Join Our Research Team
We're seeking exceptional researchers who combine technical depth with creative thinking in areas including (but not limited to) reinforcement learning, probabilistic programming, neurosymbolic AI, and language model interpretability. Our team values formal rigor, experimental creativity, and a commitment to developing AGI that benefits humanity.
If you're passionate about pushing the boundaries of AGI research within a team that values both theoretical advances and practical implementations, we invite you to connect with us. PhD researchers, postdoctoral fellows, and experienced research engineers are encouraged to apply.
We are following the ARC AGI benchmark along with MLE bench and MMMU benchmarks to rigorously evaluate our systems' capabilities and progress.