Open Source Models

75 summarised stories about Open Source Models, each linking back to the original source. Browse all topics →

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Tuesday, 18 August 2026

Exclusive: Synthefy raises $6.5M for its number-crunching models trained on numerical data instead of words

SiliconANGLE 2 weeks ago 38

Synthefy raised $6.5 million in seed funding to develop foundation models trained on numerical data rather than text, aiming to do for numbers what large language models did for words. The company's open-source model Nori, with 30 million parameters, outperforms Google's 1.6-billion parameter TabFM model on numerical tasks. Enterprises can now tackle fraud detection, dynamic pricing, and forecasting problems in minutes rather than weeks by using pre-trained models that don't require custom training for each new dataset.

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Business Funding Open Source Models Foundation Models

When a model reads a drug's class from its name—not its knowledge

Allen Institute (AI2) 2 weeks ago 21

Researchers found that Olmo 3 often relies on drug name affixes like -pril and -olol rather than actual drug knowledge when answering health questions, with 51–59% of tested drugs showing little sign of specific knowledge and 12–18% appearing purely affix-driven. The team used diagnostic tests swapping drug name components with nonsense words and traced the behavior to training data, finding that rarer drugs in the corpus triggered more affix-based inference. This shortcuts approach to drug information matters for health advice because while affixes do encode real pharmacological classes, relying on them instead of actual drug knowledge risks poor medical guidance.

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