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Beyond the pale: Assessing prevalence and contents of extremist speech in LLM training data
A new arXiv preprint finds that the open Dolma training corpus—used for the OLMo LLM series—contains hundreds of thousands of documents with extremist speech and hate speech, raising urgent questions about data provenance, curation rigor, and downstream model safety.
Aug 18, 2026
Open Source Local LLM Training Tool (for consumer hardware)
A developer released an open-source, local LLM training and introspection tool called Veritate, designed for AI researchers to train models on consumer hardware and visualize neuron activations and training-data provenance — primarily as a technical research aid, not a commercial product.
Jul 15, 2026
Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
A research group at the University of Twente in the Netherlands has shown that energy used in LLM training can be reduced by up to 14 percent without sacrificing speed.
Published Jun 10, 2026 · Analyzed Jul 4, 2026