Solvi 1.0, a decision-system library from the solvi-ai project, launched with a design in which an LLM or classifier proposes answers while deterministic checks decide, and every decision carries a ha…
TypeSafe AI launched Jev on September 15, 2026, introducing "System One models" that take a state and a set of options and return a probability for each option in a single forward pass, with the same …
A developer built Typic, a 400M-parameter open decision model trained on a single free Kaggle T4 GPU in 46 minutes, which returns probabilities over a supplied list of allowed answers in one forward p…
A developer is integrating Laya, a 421-million-parameter open-source System One model built on a ModernBERT architecture with a decision head, into CanvasDesk, an early-stage open-source node-based to…
A developer built systemonemodels.tech, a registry cataloguing more than fifteen System One model families that read a state and answer typed questions — multiple choice, scale scores, or probabilitie…
A developer built an order risk detector on Laya, an open-source non-autoregressive decision model based on ModernBERT, to test whether a small specialized model can replace large generative LLMs for …
A developer built cbjev, an open decision model that packs multiple typed questions about a document into a single encoder pass, making inference 6.7x faster than the Laya model it is fine-tuned from.…
A developer built layaAgent, a browser-based AI agent that uses a 421M-parameter typed-decision encoder (Laya, a ModernBERT-large variant) for routine tool and argument selection, escalating only unce…
Developer jlt-commons released Lev, an open-source decision engine that exposes the same wire API as TypeSafe's Jev classifier model and adds an escalation path to a local 2.5B LLM when the fast encod…
TypeSafe launched Jev, which it calls "the first System One model," claiming it is 193x faster and 444x cheaper than large language models and cannot hallucinate. Jev is a classification model in the …
Sebastian Raschka argued in a blog post that Jev, the system-one model from Typesafe.ai, should not be dismissed as "just a classifier," crediting its generalization across tasks such as classifying e…
Linkup released SPARSEUP, an open-source learned sparse embedding model with a 149M-parameter ModernBERT backbone, published under Apache 2.0 on Hugging Face. Linkup reports 56.4 average nDCG@10 on BE…
NASA's Marshall Space Flight Center Impact AI team and IBM Research released INDUS-SDE, a specialized language model pre-trained on NASA's Science Discovery Engine data that reached 78.1% top-1 masked…
H Company released NeoMME, a family of 260M and 800M multilingual multimodal encoders that process text and images with a single bidirectional Transformer, trained from scratch with a masked discrete-…
Rostam Labs released Rembed, a pure-Go text embedding inference engine that runs BERT-style and decoder-derived embedding models without ONNX Runtime or cgo, achieving statistical parity with ONNX Run…
A new arXiv preprint (2608.25166v1) reports that the grammatical role of tokens, marked by part-of-speech tags, shapes the local geometry of Transformer representations, with closed-class items expand…
MoganAI released MoganBert-TR, a 149M-parameter Turkish encoder foundation model trained from scratch on 237.3B tokens with a two-stage CLM-to-MLM curriculum, achieving 78.41 on TrGLUE, the best among…
A developer trained a 4-billion-parameter language model using reinforcement learning to rewrite AI-generated text into more human-sounding prose, using AI detectors as reward functions. The project, …
Researchers developed AWARE-FX, an auditable AI/NLP system that converts corporate annual report text into traceable firm-year hedging-disclosure measures, and tested it on 24,909 Hong Kong firm-years…
Liquid AI released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, built on the LFM2 hybrid backbone with an 8,192-token context. The 350M model achieves a 17-task…