ML Research / 2026
Ouroboros
Independent research. Deliberate experiments.
I develop language-model experiments in PyTorch and compare proposed mechanisms against explicit baselines.
Research — In development
Follow a research decision.
A high-level research workflow. Model internals, implementation details, and unpublished results are intentionally omitted. Click a step, connection, or trace to inspect it.
Start the walkthrough, or inspect any step before running it.
Simplified from the project architecture. Runs locally; no live models, credentials, or external services.
The engineering
Inside
the decisions.
Separate a useful model mechanism from an attractive hypothesis.
A proposed model mechanism is only useful if its benefit can be separated from a stronger baseline, extra compute, or experimental noise.
01The design decision
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Test mechanisms individually against explicit baselines before combining them into a larger architecture.
02The trade-off
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Local experiments make iteration possible within hardware constraints. They establish evidence at prototype scale; larger-scale behaviour still needs separate validation.
03Experiments under local hardware constraints
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Develop language-model research prototypes in PyTorch under local hardware constraints.
04Comparisons against explicit baselines
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Compare experimental ideas against explicit baselines and record the conditions under which they are evaluated.
05Recording limitations and negative findings
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Document limitations and negative findings alongside promising results; keep unpublished methods and implementation details private.
↳Read the system flow
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Ouroboros · Public explanation of the implementation boundaries.
- QuestionDefine what a proposed change should improve.
- BaselineMake the comparison and its resource constraints explicit.
- ExperimentRecord the conditions and investigate alternate explanations.
- Research notesDocument limitations and negative findings alongside observations.
↳Current research output
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The public artifact is a research log. Experimental work is in development; unpublished methods, architecture, and training artifacts remain private.
Public research log ↗↳How to read the exhibit
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The walkthrough explains the research process. The optional 3D study is an abstract visual interpretation, with no claim about model architecture or measured performance.
Research — In development
Inspect
the work.
Active independent research with a public research log. This portfolio presents the experimental process; unpublished architecture, implementation, and training artifacts remain private.
Next project: Sylph ↗Source material
Public research log