Amnesiac generalist behemoths are not the future of language models
You don’t need a generic genius. You need a specialist learner.
Jul 28, 2025
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Our research
Amnesiac generalist behemoths are not the future of language models
You don’t need a generic genius. You need a specialist learner.
Jul 28, 2025
The Bitter Lesson of LLM Evals
Turning expert judgment into a compounding moat. Because in LLM evals, scaling care beats scaling compute.
Jul 13, 2025
The Bitter Lesson of LLM Evals
Turning expert judgment into a compounding moat. Because in LLM evals, scaling care beats scaling compute.
Jul 13, 2025
Do transformers notice their own mistakes? Finding a linear hallucination detector inside LLMs
A linear signal in LLMs reveals hallucinations, is detected by a frozen observer, and steered with a single vector.
May 8, 2025
Do transformers notice their own mistakes? Finding a linear hallucination detector inside LLMs
A linear signal in LLMs reveals hallucinations, is detected by a frozen observer, and steered with a single vector.
May 8, 2025
Resurrecting the salmon: seeing clearer inside LLMs with domain-specific SAEs
A powerful, efficient, and domain-robust strategy for safeguarding medical-text generation
Feb 15, 2025
Resurrecting the salmon: seeing clearer inside LLMs with domain-specific SAEs
A powerful, efficient, and domain-robust strategy for safeguarding medical-text generation
Feb 15, 2025
Why mechanistic interpretability needs a paradigm inversion
The conventional scaling paradigm for language models themselves may be fundamentally misaligned with interp.
Jan 13, 2025
Why mechanistic interpretability needs a paradigm inversion
The conventional scaling paradigm for language models themselves may be fundamentally misaligned with interp.
Jan 13, 2025
Start owning your model today.
From training to deployment, we help you launch a specialist LLM that outperforms generic models, adapts automatically, and runs reliably at scale.
Start owning your model today.
From training to deployment, we help you launch a specialist LLM that outperforms generic models, adapts automatically, and runs reliably at scale.