Building systems for reliable
machine intelligence.
Blackdrome AI Labs is an AI research and engineering lab working across agentic systems, model behaviour, reasoning, simulation, and learning infrastructure.
We build experiments, tools, and research systems around problems that emerge as AI moves from generating answers to taking actions.
Researchthatshapesthelab.
Causal Information Flow in Transformer Residual Streams
Causal experiments using activation patching, intervention, probing, and ablation to study how specialist attention heads interact through GPT-2's shared residual stream.
LEMMA
A neuro-symbolic mathematical reasoning system combining transformer-guided proposal generation, Monte Carlo Tree Search, symbolic rules, and verifiable state transitions.
Whatweinvestigate.
Agentic Systems
Long-horizon reasoning, tool use, stateful interaction, and autonomous behaviour.
Model Intelligence
Internal representations, mechanistic interpretability, model intervention, and behavioural analysis.
Reasoning & Verification
Search, symbolic constraints, structured reasoning, and verifiable computation.
Simulation & Learning
Interactive environments, synthetic experience, robotics, and adaptive learning systems.
AI Red Teaming
Reward-hacking analysis, model-hacking benchmarks, adversarial evaluations, and repeatable tests for unsafe optimisation and deceptive behaviour.
Built,measured,anddocumented.
Activation-space interventions for frozen language models
A controlled SAE-guided intervention framework for testing whether edits inside a frozen language model produce reliable behavioural change, including evidence when they do not.
Photorealistic Simulation and Synthetic VLA Infrastructure
A photorealistic aerial-agent environment that joins drone dynamics, reconstructed scenes, waypoint supervision, and synthetic trajectories for reproducible embodied-AI research.
Westudywhathappensaftermodelsbecomecapable.
As AI systems become more autonomous, intelligence becomes a systems problem. Models must reason across time, interact with tools, respond to changing state, recover from errors, and learn from feedback.
Notes,experiments,andtechnicalwriting.
Research notes and technical writing coming soon.
ThepeoplebehindBlackdrome.
Interestedinthesameproblems?
We are open to conversations with researchers, engineers, AI teams, and collaborators working on difficult problems in machine intelligence.