Inside Pax Silica, the US push to weld AI supply chains to its allies

1 min
Inside Pax Silica, the US push to weld AI supply chains to its allies

Written by

More to read

  • Document Chunking Strategies for Production RAG: Fixed-Size, Semantic, Hierarchical, and Late Chunking Trade-Offs

    Document Chunking Strategies for Production RAG: Fixed-Size, Semantic, Hierarchical, and Late Chunking Trade-Offs In production retrieval-augmented generation (RAG), document chunking is often treated as a trivial preprocessing step. In practice, the method used to partition raw text directly dictates the upper bound of retrieval recall, embedding representation quality, and downstream generation accuracy. Retrieval systems face a fundamental tension. Dense vector search models perform best wh

    1 min
  • Knowledge Distillation for Large Language Models: From Soft Targets to On-Policy Reverse KL

    Knowledge Distillation for Large Language Models: From Soft Targets to On-Policy Reverse KL Knowledge distillation (KD) has become the primary mechanism for transferring capabilities from massive proprietary models to smaller, deployable open-weight models. The technique originated in classification, but applying it to auto-regressive language models exposed fundamental mismatches: token-level forward KL forces students to cover the teacher's full output distribution, while supervised training

    1 min
  • Velaura AI Raises 10M Series A at B Valuation for Low-Power AI Silicon

    Velaura AI Raises $110M Series A at $1B Valuation for Low-Power AI Silicon Velaura AI has closed a $110 million Series A funding round at a valuation exceeding $1 billion. The financing was led by Seligman Ventures, with participation from Capricorn Investment Group alongside existing backers including Samsung Catalyst Fund, StepStone Group, Maverick Silicon, Celesta Capital, and Mayfield. The capital will fund the commercialization and deployment of Velaura's silicon IP and physical design te

    1 min