Meta mercifully spun out VR fitness game Supernatural instead of just killing it
Meta appears to have listened to the Supernatural users who protested the app's sad fate after sweeping layoffs.
Meta appears to have listened to the Supernatural users who protested the app's sad fate after sweeping layoffs.
Do you think that’s possible? I’m really curious about this. Has anyone ever received a message like that? Come on, science must be able to figure this out
In deployed ML systems, data distribution drift seems unavoidable over longer time horizons. I’m trying to understand what approaches are commonly used in practice: Continuous retraining pipelines (fixed intervals vs trigger-based) Online monitoring for feature or prediction drift Use of shadow models or fallback models in production Human-in-the-loop review for edge cases In most real deployments I’ve seen discussed, retraining strategy seems more operationally constrained than model-related. Curious what approaches are actually working reliably in production environments and what tends to fail first. submitted by /u/Electrical_Mine1912 [link] [留言]
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
Lego Batman: Legacy of the Dark Knight hits the Switch 2 along with new DLC for all platforms in September.
Substack's new Reply Rules feature is currently available for all English-language publications and is designed to give creators greater control over how their audiences respond.
Dreambeans is a curated list of AI-illustrated "stories" culled from the personal data in your Google account.
xAI is under investigation in the EU, UK and California because of its freewheeling AI image generator.
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