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4.8 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.1 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 Paper Examines How First Query Shapes Agentic Deep Search1 src1.3 Conformance-Driven Iterative Refinement for Natural-Language to SysMLv2 Translation1 src1.3 Neural Operators for Nonlinear Functionals on RKHS1 src4.8 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.1 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 Paper Examines How First Query Shapes Agentic Deep Search1 src1.3 Conformance-Driven Iterative Refinement for Natural-Language to SysMLv2 Translation1 src1.3 Neural Operators for Nonlinear Functionals on RKHS1 src
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MultiSynt/MT

model1 events
papersSEP 10 04:00 UTC

MultiSynt/MT: open synthetic corpus offers 4.8T tokens in 36 languages for multilingual pretraining

Researchers have introduced MultiSynt/MT, an open synthetic parallel dataset totaling roughly 4.8 trillion target-language tokens spanning 36 languages. Because web-scale training data is heavily skewed toward English, the corpus is intended to give model builders far more multilingual material for pretraining large language models. The work is described in a paper posted on arXiv.