--- title: "Meta" description: "7 posts about Meta, summarised, each linking to the original." --- # Meta > 7 posts about Meta, summarised, each linking to the original. ## Articles ### [Sapienz Receives ISSTA 2026 Impact Paper Award](https://yomu.fyi/post/sapienz-receives-issta-2026-impact-paper-award.md) - Company: [Meta](https://yomu.fyi/company/meta.md) - Published: Oct 15, 2026 - Type: Announcement Sapienz, a multi-objective automated testing system for Android, received the ISSTA 2026 Most Influential Paper Award for its 2016 research by Ke Mao, Mark Harman, and Yue Jia. The system combines three goals: exploring more of an app, finding more crashes, and reducing the steps needed to trigger them, making failures easier to investigate. In an evaluation of 1,000 popular Google Play apps, Sapienz found 558 previously unknown crashes. Within 17 months of publication, it was deployed at Meta, where it now runs millions of tests daily, surfaces thousands of unique crashes each week, and helps safeguard hundreds of app releases each month. Sapienz also became the app-exploration engine for dynamic taint analysis at WhatsApp using synthetic conversation test accounts. ### [Meta Muse Spark Open is live on Together AI](https://yomu.fyi/post/meta-muse-spark-open-is-live-on-together-ai.md) - Company: [Together AI](https://yomu.fyi/company/together-ai.md) - Published: Oct 15, 2026 - Type: Announcement Meta Muse Spark Open, an open-weight model for agentic coding, is now available on Together AI as a Day 0 launch partner with a 1-million-token context window on serverless and dedicated infrastructure. The model is trained on real developer work including multi-file refactors, debugging sessions, and long-running tasks, leading to higher first-attempt accuracy and reliable tool calling. It features long-horizon autonomy with planning, observation, and self-correction, computer use for desktop and mobile, multimodal input accepting text, image, audio, and video, and intent commentary that states actions before execution for auditability. Early access customers Factory and Ollama tested the model pre-launch and are offering it to their users from day zero. Serverless pricing is $1.25 per million input tokens, $4.25 per million output tokens, and $0.15 per million cached input tokens. ### [Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta](https://yomu.fyi/post/welcome-muse-spark-open-open-weight-frontier-multimodal-mixture-of-exp.md) - Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md) - Author: Pedro Cuenca, merve, ben burtenshaw, Guarin Flück, Quentin Gallouédec, Alvaro Bartolome, Serveurperso, Jun Kim - Published: Oct 15, 2026 - Type: Announcement Meta released Muse Spark Open, an open-weight multimodal mixture-of-experts model with approximately 816 billion total parameters and around 42 billion active per token. It processes text, images, audio, and video inputs while generating text output, supporting a context window of up to one million tokens. The model uses 256 experts per MoE layer with 8 selected per token, and the BF16 checkpoint requires about 1.5 TB of storage. Meta trained Muse Spark Open for agentic coding tasks including reading codebases, writing and debugging code, and calling tools. The post provides recipes for running the model using transformers, llama.cpp, vLLM, and SGLang, as well as fine-tuning with LoRA on 64 H100 GPUs. ### [Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI](https://yomu.fyi/post/meta-s-generative-ads-model-gem-scaling-the-central-model-and-compute.md) - Company: [Meta](https://yomu.fyi/company/meta.md) - Author: Huayu Li - Published: Oct 13, 2026 - Type: Announcement Meta introduced GEM, the industry’s largest recommendation system foundation model, and its 2026 generation shifts from isolated per-domain optimizations on Facebook, Instagram, and Reels to a single central foundation model. The Kunlun architecture, co-designed with the latest GPU hardware, enables 2.5x model complexity and demonstrates LLM-like scaling laws with block-aligned sparse attention reducing sequence complexity. The LoopFM post-training technique transfers GEM’s internal representations to downstream models, doubling intelligence transfer at no additional compute cost or latency. GEM delivered 18.9% conversion improvement and 12% ad click-through rate improvement across all Meta ad surfaces and funnel stages, including 5.8% conversion uplift on Facebook, 4.1% on Instagram, and 1.6% on off-site conversion. Training efficiency doubled to 20-25% model FLOPS utilization while scaling total training FLOPs by 4x across thousands of GPUs using custom kernels and 5D parallelism. ### [OCP Summit 2026: Powering AI with Open Innovations in Scale-Up, Scale-Out, and Scale-Across Networks](https://yomu.fyi/post/ocp-summit-2026-powering-ai-with-open-innovations-in-scale-up-scale-ou.md) - Company: [Meta](https://yomu.fyi/company/meta.md) - Published: Oct 12, 2026 - Type: Announcement At OCP Summit 2026, Meta unveiled next-generation open networking infrastructure for AI, including IcePack, its first liquid-cooled network rack, and IceCube, a 102.4T switch blade delivering 128×800G non-blocking capacity. The Flattened Planar Fabric (FPF) introduces a multiplane scale-out design where each GPU connects via eight independent 100G links to different switches, reducing latency and enabling larger clusters. Meta also shared its BAG super-spine for multi-site aggregation and Tahan, an Ethernet-based 51.2T scale-up switch for MTIA 300 systems. The company launched the Open Switch Platform Architecture (OSPA) initiative with Microsoft and Alibaba to standardize switch platform hardware and software interfaces. Additionally, Meta announced open-source implementations of MetaRoCE, its RDMA transport protocol optimized for AI cluster networks over Ethernet. ### [NTS: Authenticated Time at Meta](https://yomu.fyi/post/nts-authenticated-time-at-meta.md) - Company: [Meta](https://yomu.fyi/company/meta.md) - Author: By Oleg Obleukhov - Published: Oct 6, 2026 - Type: Announcement Meta launched NTS (RFC 8915) authentication for its public time service at nts.meta.com, enabling clients to verify the origin and integrity of time packets. The service separates key establishment over TLS 1.3 from authenticated NTP, with cookie keys derived daily from a shared secret so servers hold no per-client state. Shortening TLS certificate lifetimes to 100 days in 2027 and 47 days in 2029 makes automated certificate renewal increasingly essential, creating a dangerous circular dependency on an authenticated clock. Meta open-sourced its NTS implementation and encourages mobile OS vendors to add client support, as Android and iOS currently sync time over unauthenticated UDP. The protocol does not prevent delay attacks, and device bootstrapping remains circular since NTS-KE requires TLS validation that itself demands a correct clock. ### [Meta’s ads MCP server comes to Databricks: Put your customer intelligence to work in advertising campaigns](https://yomu.fyi/post/meta-s-ads-mcp-server-comes-to-databricks-put-your-customer-intelligen.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: Katy Yuan, Jen McNamee, Rohith Bhatia - Published: Oct 6, 2026 - Type: Announcement Meta’s ads MCP server, now in Databricks Marketplace, connects Meta Ads Manager tools with enterprise data through Genie for natural language campaign management. The server uses the open MCP standard to expose over 25 tools across the campaign lifecycle including creating campaigns, adjusting budgets, defining audiences, and pulling performance data. Marketers can prompt Genie One to use business data like churn scores and gross margins, for example identifying high-value customers at risk of leaving and launching a retention campaign with an $8,000 daily budget. Governance is enforced server-side: Databricks administrators control access via Unity Catalog while Meta advertisers set rules in Business Settings that block actions like budget increases over 20%, with every tool call checked before execution. The integration builds on the Meta Conversions API partnership, letting agents combine signal diagnostics with Databricks models to put customer intelligence directly into campaign operations and execution.