Tilde Research publishes position piece on interpretability
They believe mechanistic model understanding enables new architectures and capabilities.
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Moonshot AI lab advancing mechanistic interpretability and architectures
tilderesearch.comLast updated
In short: Tilde Research secured $8M in seed funding, launched reversible AI agent sandboxes, and open-sourced the high-performance MoMoE implementation.
They believe mechanistic model understanding enables new architectures and capabilities.
MoMoE is a hyper-performant MoE implementation for training and inference. It outperforms existing ones by up to 70% in inference throughput, 20% in training throughput, and 90% in memory savings.
Led by Khosla Ventures with participation from Forgepoint Capital, Soma Capital, Timeless, Bain Capital Ventures, and OpenAI/Anthropic researchers. They focus on model interpretability and hire for technical roles.
They uncover novel attention patterns, hidden attention sinks, and better performance. Read more in their new blog post.
Production teams can now deploy AI agents with reduced operational risk. Tilde.run's new platform treats every agent run as a reversible transaction within an isolated...
Abstract Deep language models (deep LMs) are increasingly being used for full text retrieval or within cascade retrieval pipelines as later-stage re-rankers. A problem with...
RIGA, Latvia, Oct. 15, 2025 (GLOBE NEWSWIRE) -- Latvian AI company Tilde has unveiled TildeOpen LLM, an open-source large language model trained on Europe’s flagship...
GitHub - tilde-research/MoMoE-impl: Memory optimized Mixture of Experts · 4 · Inicia sesión o regístrate en ThreadsEntérate de qué hablan otras personas y únete a...
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