AI at Meta
@AIatMeta · view on X ↗
Together with the AI community, we are pushing the boundaries of what’s possible through open science to create a more connected world.
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- Aug 10, 2026
Introducing Muse Glimmer, an open-weight 30B-parameter model optimized for local, always-on agent workflows. Muse Glimmer delivers strong performance on key agentic use cases and benchmarks compared...
SummaryMuse Glimmer is an open-weight 30B-parameter AI model optimized for local agent workflows that runs on consumer hardware like Macs and PCs. It achieves low latency through quantization and a lightweight drafter model, enabling real-time multi-step task automation entirely on your device, with weights released under Apache 2.0 license.4 tweets1 min read - Jun 29, 2026
We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2. Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-perfor...
SummaryResearchers have developed Brain2Qwerty v2, an advanced non-invasive brain-to-text decoder that converts raw brain signals from MEG devices into written sentences with 61% average word accuracy. The system uses deep learning and language models trained on ~22,000 sentences, with the best-performing participant achieving 78% accuracy, and the team is releasing the code and dataset to accelerate neuroscience research.4 tweets1 min read