Model development & adaptation
Evaluate model approaches, suitability and adaptation workflows. Model availability and rights must be distinguished from research objectives.
Researching the next generation
of useful intelligence.
A practical agenda connecting models, agents, context and computing. We distinguish ongoing work from published, reproducible results.
OUR RESEARCH DIRECTIONS
Our research agenda connects model development, useful agents and responsible computing. Published findings will be accompanied by supporting evidence.
Agentic intelligence & orchestration
Explore how context, tools, task planning and oversight can work together. HERO is the wider intelligence/orchestration experience.
Coding agents & software engineering
Develop and validate coding-agent workflows. ZERO is a coding agent; ZERO Coder is a separate model-development initiative.
Evaluation & benchmarking
Measure task success, reliability and resource use with documented configurations and reproducible methods before making comparisons.
Memory, context & reasoning
Explore relevant continuity and contextual reasoning while keeping inferred information correctable and access bounded.
Efficient & local inference
Assess hardware compatibility, practical capacity and inference efficiency. Local operation and offline behavior require workload-specific validation.
Distributed compute
Explore NODE as a computing/runtime ecosystem. Resource participation, permissions and workload handling require explicit controls.
Responsible deployment & safety
Study appropriate authorization, human review, failure handling and evidence-based deployment decisions.
EVIDENCE & PUBLICATIONMethods before
Methods before
headlines.
A published result should identify the task, dataset or protocol, model and agent configuration, hardware/runtime context, evaluation date, limitations and reproducible evidence. Research results will be shared with their methods, limitations and supporting evidence.
Follow this research agenda as evaluations and findings are prepared for publication.
COLLABORATIONEvaluate
Evaluate
together.
Explore supervised research, practical evaluations and education collaboration under a clearly agreed scope. A discussion is not an institutional partnership announcement.
Research partnerships