Meta Platforms' third-quarter revenue and net profit grew substantially, with net profit increasing more than twofold, daily active users reaching 3.64 billion, and headcount down 15% year-over-year. A New Mexico court found Facebook engaged in systematic deceptive practices and sentenced Meta Platforms to a $2.5 billion fine. AfD was hacked, with over 400,000 emails and 50,000 documents leaked; whether the party has reported to data protection authorities remains unclear.
Meta said at its third-quarter earnings call that its AI app Muse now has more than 10 million users, with about 25% of registered users using it daily. Zuckerberg said that among active users who shop using the Muse agent, more than a quarter spend an average of over $200 per transaction, and that Muse enables agentic shopping through a Plaid connector. He also said Muse has achieved product-market fit, and that the next step is to scale up, grow revenue, and optimize compute costs, with cost efficiency expected to improve more than 10-fold over the next year.
Meta said at its third-quarter earnings call that its AI app Muse now has more than 10 million users, with about 25% of registered users using it daily. Zuckerberg said that among active users who shop using the Muse agent, more than a quarter spend an average of over $200 per transaction, and that Muse enables agentic shopping through a Plaid connector. He also said Muse has achieved product-market fit, and that the next step is to scale up, grow revenue, and optimize compute costs, with cost e
Meta's AI assistant Muse reached 10.2 million downloads in the US within 40 days of launch, with 10.9 million cumulative downloads worldwide, becoming only the 12th app to reach that milestone. Sensor Tower data shows that in October Meta allocated 39% of its total advertising budget to promoting Muse, up from 23% the previous month. Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, higher than the 19% and 16% averages of competitors such as ChatGPT, Claude, and Grok.
Meta's AI assistant Muse reached 10.2 million downloads in the US within 40 days of launch, with 10.9 million cumulative downloads worldwide, becoming only the 12th app to reach that milestone. Sensor Tower data shows that in October Meta allocated 39% of its total advertising budget to promoting Muse, up from 23% the previous month. Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, higher than the 19% and 16% averages of competitors such as ChatGPT, Claude, and
NVIDIA is expanding its confidential computing capabilities with the launch of a Confidential Bare Metal deployment option, enabling frontier model builders to retain control over their models and data when running sensitive workloads on third-party dedicated infrastructure. This offering, together with the existing Confidential Containers and Confidential Virtual Machines, forms three deployment forms, and adds controls such as data protection in transit, platform integrity measurement, and hardware-level access restrictions. Cohere plans to integrate it into Cohere Model Vault, Google Cloud will support the capability on A4X Max instances based on GB300 NVL72, and providers such as CoreWeave, Microsoft Azure Infrastructure, and Nebius also support related deployments.
NVIDIA is expanding its confidential computing capabilities with the launch of a Confidential Bare Metal deployment option, enabling frontier model builders to retain control over their models and data when running sensitive workloads on third-party dedicated infrastructure. This offering, together with the existing Confidential Containers and Confidential Virtual Machines, forms three deployment forms, and adds controls such as data protection in transit, platform integrity measurement, and har
Meta's AI agent Muse reached 10.2 million US downloads within 40 days, a pace only 11 apps have ever achieved in history, most of which are mobile games. Its US 7-day retention rate is 30% and 14-day retention rate is 23%, compared with competitor averages of 19% and 16% respectively; daily active users reached 2.5 million on October 16, up 15% in a week, but still less than a quarter of US downloads.
A new Meta paper points out that the failure point of proactive assistants (such as AI glasses) lies in autonomously judging when to speak, not just what to say. The team built the ProPerMem benchmark, using first-person video paired with interference-rich, full-year memory averaging 618K tokens, and featuring human-verified trigger windows. All baselines scored at most 15%, even frontier models using retrieval-augmented memory; when oracle evidence was provided within the window, GPT-5.3-Chat reached 96%, but when it was left to choose the timing itself, this dropped to 38%, and to 15% after adding retrieval. Grasping both content and timing while reducing trigger frequency can raise accuracy from under 10% to 42.4%.
A new Meta paper points out that the failure point of proactive assistants (such as AI glasses) lies in autonomously judging when to speak, not just what to say. The team built the ProPerMem benchmark, using first-person video paired with interference-rich, full-year memory averaging 618K tokens, and featuring human-verified trigger windows. All baselines scored at most 15%, even frontier models using retrieval-augmented memory; when oracle evidence was provided within the window, GPT-5.3-Chat r
Meta's Muse Wonder Full (Max) ranks #7 in Agent Arena with a net gain of +11.3%, covering over 6.5K real agent sessions and helping Meta rise to #4 among labs. The model is 7.5 percentage points higher than Muse Wonder (Max) and 7.8 percentage points higher than Muse Spark 1.3 (Max), with category rankings of #5 in Chat, #6 in Code, and #7 in Work. At the signal level, it ranks #6 in Praise vs. Complaint (+21.9%), #6 in Confirmed Success (+13.4%), #7 in Steerability (+11.2%), and #16 in Bash Reliability (+7.7%), with no issues in Tool Hallucination.
Meta's Muse Wonder Full (Max) ranks 7 in Agent Arena with a net gain of +11.3%, covering over 6.5K real agent sessions and helping Meta rise to 4 among labs. The model is 7.5 percentage points higher than Muse Wonder (Max) and 7.8 percentage points higher than Muse Spark 1.3 (Max), with category rankings of 5 in Chat, 6 in Code, and 7 in Work. At the signal level, it ranks 6 in Praise vs. Complaint (+21.9%), 6 in Confirmed Success (+13.4%), 7 in Steerability (+11.2%), and 16 in Bash Reliability
Meta's AI app Muse has accumulated 10.9 million downloads since launching in September, including 10.2 million in the US market, making it one of the few apps to reach that scale within 40 days of launch. Sensor Tower data shows that Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, above the averages of 19% and 16% for ChatGPT, Claude, and Grok; on October 16, its daily active users reached 2.5 million for the first time, up 15% month over month. In October, Meta allocated 39% of its advertising spend to promoting Muse, up from 23% the previous month.
Meta's AI app Muse has accumulated 10.9 million downloads since launching in September, including 10.2 million in the US market, making it one of the few apps to reach that scale within 40 days of launch. Sensor Tower data shows that Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, above the averages of 19% and 16% for ChatGPT, Claude, and Grok; on October 16, its daily active users reached 2.5 million for the first time, up 15% month over month. In October, Met
Meta's AI assistant Muse reached 10.2 million US downloads 40 days after launch and 10.9 million cumulative downloads worldwide, becoming only the 12th app to hit this milestone. Sensor Tower data shows that in October Meta allocated 39% of its ad budget to promoting Muse; its US 7-day retention rate was 30% and its 14-day retention rate was 23%, above the competitor averages of 19% and 16%. On October 16, Muse's daily active users reached 2.5 million for the first time; the app is currently available only in the US and Canada.
Meta's AI assistant Muse reached 10.2 million US downloads 40 days after launch and 10.9 million cumulative downloads worldwide, becoming only the 12th app to hit this milestone. Sensor Tower data shows that in October Meta allocated 39% of its ad budget to promoting Muse; its US 7-day retention rate was 30% and its 14-day retention rate was 23%, above the competitor averages of 19% and 16%. On October 16, Muse's daily active users reached 2.5 million for the first time; the app is currently ava
Google and Meta's PyTorch teams have collaborated to launch the open-source project TorchTPU, providing a native PyTorch backend for Google TPUs; migration only requires changing model.to("cuda") to model.to("tpu"). The project supports both eager and torch.compile modes, adds a new DeferAndFuse eager mode, covers about 450 Aten operators, and has been verified to run out of the box on 4,917 Hugging Face models, with a Tier 1 pass rate of 98% and Tier 2 numerical consistency relative to GPUs of 97%. According to the official announcement, it has already been used in the inference and training production workloads of some major Google Cloud customers, and is integrated with vLLM, SGLang, TorchTitan, Ray, and TorchRec.
Google and Meta's PyTorch teams have collaborated to launch the open-source project TorchTPU, providing a native PyTorch backend for Google TPUs; migration only requires changing model.to("cuda") to model.to("tpu"). The project supports both eager and torch.compile modes, adds a new DeferAndFuse eager mode, covers about 450 Aten operators, and has been verified to run out of the box on 4,917 Hugging Face models, with a Tier 1 pass rate of 98% and Tier 2 numerical consistency relative to GPUs of
Fireworks launched Meta's open-weight model Muse Spark Open on the day of release. It is an 816B-parameter MoE model that activates 42B parameters per token, with a 1M-token context window, targeting long-horizon coding and agentic tasks. Fireworks says it ranks first among 75 models on Vals AI's Harvey Legal Agent Benchmark leaderboard with 25.4%, nearly 4 times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench it surpasses Claude Opus 5.5 at every difficulty level. On Fireworks, the model has zero data retention enabled by default, uses only US-based compute at no extra charge, and supports fine-tuning with serverless LoRA.
Fireworks launched Meta's open-weight model Muse Spark Open on the day of release. It is an 816B-parameter MoE model that activates 42B parameters per token, with a 1M-token context window, targeting long-horizon coding and agentic tasks. Fireworks says it ranks first among 75 models on Vals AI's Harvey Legal Agent Benchmark leaderboard with 25.4%, nearly 4 times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench it surpasses Claude Opus 5.5 at every difficulty level. On Fireworks, the
