Knowledgator Engineering released GLiFormer, a schema-conditioned encoder for multitask information extraction that produces nested JSON without generating output tokens token-by-token. GLiFormer Large v1 has 575.6M parameters and reports 91.10 F1 on a nested JSON benchmark (500 examples). Users can now run the Apache 2.0 checkpoints via pip on CPU or GPU while providing the extraction schema at inference time instead of relying on token-generation to format fields.
Try The Apartment launches an interactive apartment that’s rebuilt in 3D from the owner’s phone walkthrough. It lets you place 23 pieces of furniture and get warned when something won’t fit. Users can orbit, open doors, and share a link to decide together.
GameToMac launched today to let users play Windows games on Apple Silicon Macs using AI-powered compatibility. It lists 50 followers and says it supports titles including Age of Empires IV and Counter-Strike 2. As a result, it claims thousands more Windows games will become playable on Mac soon.
JEV was announced as a "System One Model" that avoids the traditional chatbot flow. The article does not provide any numbers, dates, or benchmarks. The change is that the model is targeted at structured decision-making instead of conversational chatting.
Discrete flow matching for text generation replaces noise tokens with language via many iterative forward passes, but distillation can train a student to follow a similar multi-step trajectory in far fewer steps. The approach targets the fact that the method can require hundreds of forward passes in the baseline process. It argues the trajectory quality—not the student’s capacity—is the bottleneck, since early low-quality decisions can propagate through later steps during training.
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