Evidence brief
An OpenRouter message says Meta AI Superintelligence Labs’ first open-weight model, Muse Glimmer, is now on OpenRouter; the model is a 30B dense text+image model under the Apache 2.0 license.
An OpenRouter message says Meta AI Superintelligence Labs’ first open-weight model, Muse Glimmer, is now on OpenRouter; the model is a 30B dense text+image model under the Apache 2.0 license.
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WhatsApp introduced an optional feature, Scam Alert, which uses on-device machine learning models under end-to-end encryption to identify potential scam messages; message content does not leave the device or get automatically reported.
Original source@FireworksAI_HQ announced it will join @antimetal, @braintrust, and @browserbase at The AI Dev Stack: Beyond Code. The post said that beyond coding agents, the more interesting work is the tech stack for getting them into production and keeping them reliable, and provided an RSVP link.
Original source@Llama_index reposted @jerryjliu0’s post: the team wrote a 36-page ArXiv white paper on ExtractBench, calling it an effort to create a comprehensive, schema-guided, real-world-relevant benchmark.
Original source@dair_ai said Ai2, Carnegie Mellon, and University of Washington studied normalization, GQA, pretraining context length, and sliding-window attention, finding that combining more than three of them significantly reduces long-context performance, and released OlmPool.
Original sourceLlamaIndex released ExtractBench, covering 370 enterprise documents and 14 systems, with a focus on testing long-list completeness; it says Frontier VLMs achieve F1 scores of 8.9–35.8% on the longest documents.
Original source