OpenCode announced that Meta Muse Wonder is now available on its platform. The news was released on October 22, 2026; currently this is the only factual evidence, with no subsequent developments or official supplementary statements yet.
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OpenCode announced that Meta Muse Wonder is now available on its platform. The news was released on October 22, 2026; currently this is the only factual evidence, with no subsequent developments or official supplementary statements yet.
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Rohan Paul offered the assessment that Meta's AI agent Muse reached 10.2 million downloads in the US within 40 days of launch. The data he cited also shows that historically only 11 apps have reached this pace, most of them mobile games. On retention, Muse's US 7-day retention rate is 30% and its 14-day retention rate is 23%, compared with competitor averages of 19% and 16%, respectively. On October 16, its daily active users reached 2.5 million, up 15% in a week, but still less than a quarter of its US downloads. At present, this assessment is seen only from Rohan Paul as a single source, with no other independent sources or official evidence to cross-verify it.
Rohan Paul offered the assessment that Meta's AI agent Muse reached 10.2 million downloads in the US within 40 days of launch. The data he cited also shows that historically only 11 apps have reached this pace, most of them mobile games. On retention, Muse's US 7-day retention rate is 30% and its 14-day retention rate is 23%, compared with competitor averages of 19% and 16%, respectively. On October 16, its daily active users reached 2.5 million, up 15% in a week, but still less than a quarter o
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Rohan Paul offered the assessment that Meta's AI agent Muse reached 10.2 million downloads in the US within 40 days of launch. The data he cited also shows that historically only 11 apps have reached this pace, most of them mobile games. On retention, Muse's US 7-day retention rate is 30% and its 14-day retention rate is 23%, compared with competitor averages of 19% and 16%, respectively. On October 16, its daily active users reached 2.5 million, up 15% in a week, but still less than a quarter of its US downloads. At present, this assessment is seen only from Rohan Paul as a single source, with no other independent sources or official evidence to cross-verify it.
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View story:Rohan Paul says Meta's AI agent Muse reached 10.2 million downloads in the US in 40 days
On October 21, 2026, Meta published a paper pointing 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 memories averaging 618K tokens, and featuring manually verified trigger windows. The paper reports that 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 after adding retrieval it fell to 15%. Grasping both content and timing while reducing trigger frequency can raise accuracy from under 10% to 42.4%. The work is currently released as a paper, with no subsequent progress yet.
On October 21, 2026, Meta published a paper pointing 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 memories averaging 618K tokens, and featuring manually verified trigger windows. The paper reports that all baselines scored at most 15%, even frontier models using retrieval-augmented memory; when oracle
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Alibaba Cloud OSS launches the new version of MetaQuery. According to an article published by the Alibaba Cloud Developer Community AI on October 21, 2026, Alibaba Cloud OSS has launched a "object bucket + vector bucket + table bucket" three-bucket-in-one architecture, unifying unstructured data, vector data, and structured data onto the same storage foundation. The article states that a single file in an object bucket supports up to 48.8TB, with 12 nines of data reliability; the vector bucket supports trillion-scale vector volumes and millisecond-level similarity retrieval; the table bucket natively integrates Apache Iceberg, and concurrent write TPS for 500 tables can reach more than 10 times that of self-built Iceberg solutions. The article also breaks down the four-layer cloud-native architecture and hands-on steps such as bucket creation, SDK uploads, and batch operations and maintenance with ossutil. There are currently no subsequent development facts.
Alibaba Cloud OSS launches the new version of MetaQuery. According to an article published by the Alibaba Cloud Developer Community AI on October 21, 2026, Alibaba Cloud OSS has launched a "object bucket + vector bucket + table bucket" three-bucket-in-one architecture, unifying unstructured data, vector data, and structured data onto the same storage foundation. The article states that a single file in an object bucket supports up to 48.8TB, with 12 nines of data reliability; the vector bucket s
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Alibaba Cloud OSS launches the new version of MetaQuery. According to an article published by the Alibaba Cloud Developer Community AI on October 21, 2026, Alibaba Cloud OSS has launched a "object bucket + vector bucket + table bucket" three-bucket-in-one architecture, unifying unstructured data, vector data, and structured data onto the same storage foundation. The article states that a single file in an object bucket supports up to 48.8TB, with 12 nines of data reliability; the vector bucket supports trillion-scale vector volumes and millisecond-level similarity retrieval; the table bucket natively integrates Apache Iceberg, and concurrent write TPS for 500 tables can reach more than 10 times that of self-built Iceberg solutions. The article also breaks down the four-layer cloud-native architecture and hands-on steps such as bucket creation, SDK uploads, and batch operations and maintenance with ossutil. There are currently no subsequent development facts.
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View story:Alibaba Cloud OSS launches the new version of MetaQuery
On October 20, 2026, Fireworks launched Meta's open-weight model Muse Spark Open on the day of its release, making it available to users through its serverless API. The model is an 816B-parameter MoE model that activates 42B parameters per token, has a 1M-token context window, and is aimed at long-horizon coding and agentic tasks. Fireworks said the model ranks first among 75 models on Vals AI's Harvey legal agent benchmark with 25.4%, nearly four times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench, it surpasses Claude Opus 5.5 at every difficulty level. Fireworks also said it validated the weights with its own production stack, scoring 91.1% on AIME26, 89.7% on GPQA Diamond, and 84.3% on SWE-bench Verified, with consistent results when rerun using SGLang. On Fireworks, the model has zero data retention enabled by default, uses only compute located in the United States with no additional surcharge, and supports fine-tuning with serverless LoRA.
On October 20, 2026, Fireworks launched Meta's open-weight model Muse Spark Open on the day of its release, making it available to users through its serverless API. The model is an 816B-parameter MoE model that activates 42B parameters per token, has a 1M-token context window, and is aimed at long-horizon coding and agentic tasks. Fireworks said the model ranks first among 75 models on Vals AI's Harvey legal agent benchmark with 25.4%, nearly four times that of Claude Opus 5 (6.7%); on the Rogo
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US Judge Thomas Hixson ordered Meta to provide the command history of the download servers and to list all personnel involved in approving the downloading of pirated ebook libraries via BitTorrent. Meta previously said it could not identify the specific decision-makers, that such decisions were usually team consensus, and that downloading torrents was a technical decision by the executing employees. The book publishers and authors suing Meta want to find out who ordered the downloading of pirated ebooks from Anna's Archive and LibGen for training AI models.
US Judge Thomas Hixson ordered Meta to provide the command history of the download servers and to list all personnel involved in approving the downloading of pirated ebook libraries via BitTorrent. Meta previously said it could not identify the specific decision-makers, that such decisions were usually team consensus, and that downloading torrents was a technical decision by the executing employees. The book publishers and authors suing Meta want to find out who ordered the downloading of pirate
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US Judge Thomas Hixson ordered Meta to provide the command history of the download servers and to list all personnel involved in approving the downloading of pirated ebook libraries via BitTorrent. Meta previously said it could not identify the specific decision-makers, that such decisions were usually team consensus, and that downloading torrents was a technical decision by the executing employees. The book publishers and authors suing Meta want to find out who ordered the downloading of pirated ebooks from Anna's Archive and LibGen for training AI models.
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Meta is developing Confidential VMs functionality on the Muse web client, allowing users to run Muse tasks in an encrypted confidential environment. Meta previously previewed that this feature would launch before the end of 2026. A newly surfaced hidden setting shows that the feature will initially be available only to Meta AI subscribers; after toggling it on, voice mode, image and video generation, and wearable device support will be temporarily unavailable. Meta says conversations run in a secure encrypted environment and that Muse data will not be used to improve Meta's AI. The feature is currently still in development, and there is no further evidence of an official launch date.
Meta is developing Confidential VMs functionality on the Muse web client, allowing users to run Muse tasks in an encrypted confidential environment. Meta previously previewed that this feature would launch before the end of 2026. A newly surfaced hidden setting shows that the feature will initially be available only to Meta AI subscribers; after toggling it on, voice mode, image and video generation, and wearable device support will be temporarily unavailable. Meta says conversations run in a se
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On October 21, 2026, Meta published a paper pointing 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 memories averaging 618K tokens, and featuring manually verified trigger windows. The paper reports that 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 after adding retrieval it fell to 15%. Grasping both content and timing while reducing trigger frequency can raise accuracy from under 10% to 42.4%. The work is currently released as a paper, with no subsequent progress yet.
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Meta has paused the conversation sharing feature of its Muse AI agent. The reason is that researchers at security firm Claroc found that the URLs of these shared links could be retrieved on the public web. Claroc said it found more than 6,800 Muse links through public DNS records and reviewed hundreds of conversations, with content involving marketing company revenue reviews, small business owner loan applications, workplace year-round employee calendars, and notes from job seekers' calls with AI labs. Muse spokesperson Tracy Clayton said users can share specific Muse content and generate pages accessible via links, and the company is reviewing the report and considering adjusting how links are discovered. According to Unite.AI, on October 20 Claroc rechecked 40 shares that previously could be opened without an account, and none could be opened, but hostnames containing conversation titles remained in passive DNS history; Muse launched on September 8, and share addresses consist of the conversation title plus a random ID, and when first opened, DNS records the full hostname.
Meta has paused the conversation sharing feature of its Muse AI agent. The reason is that researchers at security firm Claroc found that the URLs of these shared links could be retrieved on the public web. Claroc said it found more than 6,800 Muse links through public DNS records and reviewed hundreds of conversations, with content involving marketing company revenue reviews, small business owner loan applications, workplace year-round employee calendars, and notes from job seekers' calls with A
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Meta has paused the conversation sharing feature of its Muse AI agent. The reason is that researchers at security firm Claroc found that the URLs of these shared links could be retrieved on the public web. Claroc said it found more than 6,800 Muse links through public DNS records and reviewed hundreds of conversations, with content involving marketing company revenue reviews, small business owner loan applications, workplace year-round employee calendars, and notes from job seekers' calls with AI labs. Muse spokesperson Tracy Clayton said users can share specific Muse content and generate pages accessible via links, and the company is reviewing the report and considering adjusting how links are discovered. According to Unite.AI, on October 20 Claroc rechecked 40 shares that previously could be opened without an account, and none could be opened, but hostnames containing conversation titles remained in passive DNS history; Muse launched on September 8, and share addresses consist of the conversation title plus a random ID, and when first opened, DNS records the full hostname.
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