Solving Artificial
General Intelligence.
Metanthropic is architecting the physics of AGI. We do not patch intelligence; we architect it. Building systems where alignment and reasoning are mathematically indivisible.
"True general intelligence is not just prediction. It is predictable reasoning. We are solving the 'Black Box' problem at the neuron level."
The limit is not compute; it is coherence. Current scaling laws suggest that as capability increases, controllability decreases. This is the "Alignment Gap."
Metanthropic rejects the industry standard of post-training reinforcement (RLHF). Instead, we integrate interpretability directly into the pre-training objective.
We are building the infrastructure for Deterministic AGI—models where safety is not a guardrail, but the underlying physics of the system.
Research Pillars
Scaling & Architecture
Optimizing compute-to-performance ratios and sustaining coherence over long contexts beyond standard transformers.
Deep DiveFoundational Capabilities
Advancing reasoning, multimodality, and RL to build systems capable of complex, multi-step problem solving.
Deep DiveSafety & Alignment
Ensuring robustness against adversarial failure modes by integrating interpretability into pre-training.
Deep Dive