Blog
9 posts
AI Safety Needs Startups
Why the best way to deploy safety at scale might be to sell it.
Less is
morethe sameQuantisation costs our probes nothing, and cuts GPU time by 40% on Blackwell cards.
Is Your AI Hallucinating?
How our white-box proxy model gives you a per-token hallucination score, including exactly what it costs.
Manifold Destiny
Everything the model knows about a token is packed into the residual stream, and locally the model turns out to be using less than 1% of the stream for a single prompt.
AI Portal
Why AI inference costs keep rising despite falling token prices, and how mechanistic interpretability techniques like routing and prompt compression can cut them without sacrificing quality.
The Two-Neighbour Method: How to Measure a Dataset’s “True” Dimensions
How many intrinsic dimensions does your data really have? An introduction to twoNN and what it reveals about a transformer's residual stream.
What is Mechanistic Interpretability?
Modern large language models are immense black boxes, yet they still represent internal features in a standard way we can begin to understand.
How We Detect AI Hallucinations in Real-Time
Learn about the technical approach behind Telluvian's real-time hallucination detection, including probing classifiers, activation analysis, and token-level confidence scoring.
AI 2030: Our Generation’s Platform for Global AI Action
Encode Justice’s platform for global AI action by 2030: five calls to world leaders, co-written by Lysander Mawby.