Loading activity…
@edwardsun0909
Research Lead at @Meta TBD Labs I lead agent research in MSL and training of @Muse. Previously @OpenAI posttraining/agent research
AI
finkd says the model runs well on new Mac Studios, crediting work with Apple and John Ternus.
AI
A user says VCB 1–100 measures sustained, multi-turn software development and claims Muse Wonder Full has a cost edge.
AI
Meta says Muse Wonder launched through its Model API and Muse Code, while Full was available to Muse Code subscribers.
AI
A user introduced PS5 Pro Bench in an October 9 quote post with a link to an image.
AI
A creator invited to Meta’s keynote says its consumer AI push combines Muse’s familiar app and WhatsApp interactions with new hardware, including planned $1,299.99 VR glasses.
AI
One post argues Meta’s edge is its distribution and ability to integrate AI into its ecosystem. A quote post calls Muse Spark 1.3 Max a good personal agent and claims it is state of the art on DeepSWE.
AI
A post thanking MSL’s research team calls Muse’s model its “most underrated part,” praising the work behind a product the author describes as simple and useful.
AI
One post praises Muse as a solid AI assistant but says many readers distrust Meta. The author argues that its architecture reduces the need for that trust.
AI
Artificial Analysis says evaluations with private tasks or answers now carry 45% of the index’s weight, up from 40%, while category weights remain unchanged.
AI
Official AI at Meta account retweets ValsAI post on model benchmark results.
AI
AI benchmarking company accelerates v5 elements via interim index updates with new agent tasks.
AI
The post points readers to dev.meta.ai with a brief suggestion to give Muse Code a try.
AI
Retweet by Meta executive highlights release of updated model from Xiangning Chen.
AI
Alexandr Wang announces immediate open release of 30B Muse Glimmer and upcoming Muse Spark 1.2.
AI
A cheaper tier lets users access the model by allowing Meta to train on their data.
AI
Zuckerberg posts about terminal agent for full engineering work on large repositories.
