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🔥 SAM 3/3D are OUT!! 🔥
👉#META released the SAM 3 family, a unified model for detection, segmentation, and tracking of objects in images & video using text, exemplar & visual prompts. Repo/Models under proprietary SAM license💙
👉Review https://t.ly/lnRZN
👉Paper https://t.ly/5tq9N
👉Project https://ai.meta.com/sam3/
👉Demo: https://segment-anything.com
👉Repo https://github.com/facebookresearch/sam3
👉#META released the SAM 3 family, a unified model for detection, segmentation, and tracking of objects in images & video using text, exemplar & visual prompts. Repo/Models under proprietary SAM license💙
👉Review https://t.ly/lnRZN
👉Paper https://t.ly/5tq9N
👉Project https://ai.meta.com/sam3/
👉Demo: https://segment-anything.com
👉Repo https://github.com/facebookresearch/sam3
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💚 #META 3D Casual Captures 💚
👉#META unveils ShapeR, a novel approach for conditional 3D object shape generation from casually captured sequences. Impressive results. Repo under CC BY-NC 4.0💙
👉Review https://t.ly/j08sJ
👉Paper arxiv.org/pdf/2601.11514
👉Project facebookresearch.github.io/ShapeR/
👉Repo github.com/facebookresearch/ShapeR
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👉#META unveils ShapeR, a novel approach for conditional 3D object shape generation from casually captured sequences. Impressive results. Repo under CC BY-NC 4.0💙
👉Review https://t.ly/j08sJ
👉Paper arxiv.org/pdf/2601.11514
👉Project facebookresearch.github.io/ShapeR/
👉Repo github.com/facebookresearch/ShapeR
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💜MoRo: Human Motion Recovery💜
👉Masked modeling for human motion Recovery under Occlusions. Given a monocular video captured from a static camera, MoRo (by ETHZ & #Meta) robustly reconstructs accurate/physically plausible human motion, even under challenging occlusions. Repo released💙
👉Review https://t.ly/kK_je
👉Paper arxiv.org/pdf/2601.16079
👉Project mikeqzy.github.io/MoRo/
👉Repo github.com/mikeqzy/MoRo
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👉Masked modeling for human motion Recovery under Occlusions. Given a monocular video captured from a static camera, MoRo (by ETHZ & #Meta) robustly reconstructs accurate/physically plausible human motion, even under challenging occlusions. Repo released💙
👉Review https://t.ly/kK_je
👉Paper arxiv.org/pdf/2601.16079
👉Project mikeqzy.github.io/MoRo/
👉Repo github.com/mikeqzy/MoRo
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🐪DuoMo: Dual Motion Diffusion🐪
👉DuoMo by #Meta is a novel generative method that recovers human motion in world-space coordinates from unconstrained videos with noisy or incomplete observations. Code announced💙
👉Review https://t.ly/dnA3K
👉Paper arxiv.org/pdf/2603.03265
👉Project yufu-wang.github.io/duomo/
👉Repo TBA
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👉DuoMo by #Meta is a novel generative method that recovers human motion in world-space coordinates from unconstrained videos with noisy or incomplete observations. Code announced💙
👉Review https://t.ly/dnA3K
👉Paper arxiv.org/pdf/2603.03265
👉Project yufu-wang.github.io/duomo/
👉Repo TBA
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🔥BoxerNet: SOTA 2D->3D BBs🔥
👉Boxer by #META: transformer-based network to lift 2D BB proposals into 3D, followed by multi-view fusion and geometric filtering to produce globally consistent de-duplicated 3DBBs in metric world space. Repo under A-NC 4.0 International💙
👉Review https://t.ly/mlmV1
👉Paper https://arxiv.org/pdf/2604.05212
👉Project facebookresearch.github.io/boxer/
👉Repo github.com/facebookresearch/boxer
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👉Boxer by #META: transformer-based network to lift 2D BB proposals into 3D, followed by multi-view fusion and geometric filtering to produce globally consistent de-duplicated 3DBBs in metric world space. Repo under A-NC 4.0 International💙
👉Review https://t.ly/mlmV1
👉Paper https://arxiv.org/pdf/2604.05212
👉Project facebookresearch.github.io/boxer/
👉Repo github.com/facebookresearch/boxer
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Meta pivots to personal AI agents after Q2 2026 earnings
Meta CEO Mark Zuckerberg used the Q2 2026 earnings call to pivot the company strategy from social media to autonomous personal AI agents.
The vision aims for billions of users leveraging agents for health, finances, and relationships over the next 5 years. Beyond consumer tools, the company is doubling down on enterprise offerings, specifically APIs, proprietary compute, and internal software suites.
This strategic shift arrives amidst a disappointing revenue forecast, which has triggered investor pushback regarding aggressive infrastructure spending. Unlike the simple conversational interfaces seen with earlier models, Zuckerberg is betting on agents capable of working 24/7 on complex, autonomous tasks.
#Meta #AI #TechStrategy
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Meta CEO Mark Zuckerberg used the Q2 2026 earnings call to pivot the company strategy from social media to autonomous personal AI agents.
The vision aims for billions of users leveraging agents for health, finances, and relationships over the next 5 years. Beyond consumer tools, the company is doubling down on enterprise offerings, specifically APIs, proprietary compute, and internal software suites.
This strategic shift arrives amidst a disappointing revenue forecast, which has triggered investor pushback regarding aggressive infrastructure spending. Unlike the simple conversational interfaces seen with earlier models, Zuckerberg is betting on agents capable of working 24/7 on complex, autonomous tasks.
From social feed to personal workforce.
#Meta #AI #TechStrategy
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Meta enters the coding agent wars with Muse Code
Meta has launched Muse Code, a terminal-based autonomous coding agent powered by the new Muse Spark 1.2 model family. It handles end-to-end software engineering tasks across large repositories, with standard access priced at $1.25 per million input tokens. 💻
Unlike typical harnesses that spin up fresh agents for every task, Muse Code runs persistent async background agents that stay active throughout the entire session. This keeps context fresh and reduces redundant data gathering. You can install it on macOS or Linux with a simple curl command, gaining capabilities like /plan for task mapping and /grill for stress testing. 🤖
While Anthropic has found traction with Claude Code and OpenAI with Codex, Meta is undercutting the market with a "Contributor" tier. By allowing Meta to train models on your data, the cost drops to $0.10 per million input tokens—roughly 12 times cheaper than the standard rate. 📉
Meta has successfully integrated persistent async agents directly into the terminal, effectively turning the CLI into a fully autonomous software engineering workspace.
#Meta #MuseCode #AI
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Meta has launched Muse Code, a terminal-based autonomous coding agent powered by the new Muse Spark 1.2 model family. It handles end-to-end software engineering tasks across large repositories, with standard access priced at $1.25 per million input tokens. 💻
Unlike typical harnesses that spin up fresh agents for every task, Muse Code runs persistent async background agents that stay active throughout the entire session. This keeps context fresh and reduces redundant data gathering. You can install it on macOS or Linux with a simple curl command, gaining capabilities like /plan for task mapping and /grill for stress testing. 🤖
While Anthropic has found traction with Claude Code and OpenAI with Codex, Meta is undercutting the market with a "Contributor" tier. By allowing Meta to train models on your data, the cost drops to $0.10 per million input tokens—roughly 12 times cheaper than the standard rate. 📉
Meta has successfully integrated persistent async agents directly into the terminal, effectively turning the CLI into a fully autonomous software engineering workspace.
The agentic shift is finally hitting the terminal.
#Meta #MuseCode #AI
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Meta enters the AI coding wars with Muse Spark 1.2 and Muse Code with persistent async background agents
The default on-ramp for Muse Code sends developers' code and prompts into Meta's training pipeline — a tradeoff enterprises with proprietary codebases will need to consciously opt out of by moving to standard pricing.
Meta Releases 30B-Parameter Muse Glimmer
Meta just dropped Muse Glimmer, a 30-billion-parameter dense, open-weight model engineered for local agentic workflows. 🚀
It features a 120,000-token context window and runs locally on consumer hardware, with optimizations for NVIDIA GPUs. Released under the Apache 2.0 license, it permits unrestricted commercial use, unlike the restrictive community licenses associated with previous Llama generations.
This move signals a pivot from the proprietary development observed with the Muse Spark foundation model. Where rivals like Google and Alibaba keep their recent 30B-class models under tighter controls, this permissive release establishes a new baseline for local execution.
#Meta #AI #LLM
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Meta just dropped Muse Glimmer, a 30-billion-parameter dense, open-weight model engineered for local agentic workflows. 🚀
It features a 120,000-token context window and runs locally on consumer hardware, with optimizations for NVIDIA GPUs. Released under the Apache 2.0 license, it permits unrestricted commercial use, unlike the restrictive community licenses associated with previous Llama generations.
This move signals a pivot from the proprietary development observed with the Muse Spark foundation model. Where rivals like Google and Alibaba keep their recent 30B-class models under tighter controls, this permissive release establishes a new baseline for local execution.
The era of local agents just got a lot more accessible.
#Meta #AI #LLM
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Meta prepares to launch Hatch and Watermelon
🤖 Meta will roll out its consumer-facing AI agent Hatch in the coming weeks, targeting an October launch for the new AI model Watermelon.
The agent is a consumer-grade version of the internal OpenClaw project. It features a customizable dashboard designed to execute tasks across services like DoorDash, Etsy, Reddit, Yelp, and Outlook. Mark Zuckerberg is driving this strategy to pivot away from purely ad-based revenue streams.
This high price point starkly contrasts with the free-to-use assistant models currently dominant in the market, effectively positioning the tool as a professional utility rather than a casual chat interface.
The race to
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🤖 Meta will roll out its consumer-facing AI agent Hatch in the coming weeks, targeting an October launch for the new AI model Watermelon.
The agent is a consumer-grade version of the internal OpenClaw project. It features a customizable dashboard designed to execute tasks across services like DoorDash, Etsy, Reddit, Yelp, and Outlook. Mark Zuckerberg is driving this strategy to pivot away from purely ad-based revenue streams.
The premium subscription tier for this agent is reportedly being discussed at $199.99 per month to accommodate high-usage limits.
This high price point starkly contrasts with the free-to-use assistant models currently dominant in the market, effectively positioning the tool as a professional utility rather than a casual chat interface.
The race to
monetize AI utility is officially on.#TechNews
#AI #Meta
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Meta targets consumer AI dominance with new Muse agent
Meta is investing billions to launch Muse, a personal AI agent platform designed to execute tasks autonomously on mobile and desktop devices. This development marks a clear shift from basic chatbot interactions toward an ecosystem capable of booking travel, managing emails, and handling online shopping directly.
The architecture functions as an orchestrator, enabling users to delegate complex workflows without manual supervision. By integrating these capabilities into core mobile software, the company aims to embed its technology deeper into the user’s daily routine.
🔹 Execution of browser-based tasks like filling out forms and navigation.
🔹 Direct integration into Meta’s existing messaging ecosystem.
🔹 Proactive goal management and suggestion engine for personal projects.
This push pits Meta directly against OpenAI, Anthropic, and Google in the race for the default AI assistant slot. While competitors are focused on model performance and API expansion, the scale of this deployment highlights a strategy based on broad, immediate consumer adoption.
#Meta #AI #Muse
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Meta is investing billions to launch Muse, a personal AI agent platform designed to execute tasks autonomously on mobile and desktop devices. This development marks a clear shift from basic chatbot interactions toward an ecosystem capable of booking travel, managing emails, and handling online shopping directly.
The architecture functions as an orchestrator, enabling users to delegate complex workflows without manual supervision. By integrating these capabilities into core mobile software, the company aims to embed its technology deeper into the user’s daily routine.
🔹 Execution of browser-based tasks like filling out forms and navigation.
🔹 Direct integration into Meta’s existing messaging ecosystem.
🔹 Proactive goal management and suggestion engine for personal projects.
This push pits Meta directly against OpenAI, Anthropic, and Google in the race for the default AI assistant slot. While competitors are focused on model performance and API expansion, the scale of this deployment highlights a strategy based on broad, immediate consumer adoption.
The battle for the interface is officially on.
#Meta #AI #Muse
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Meta bets on AI agent Muse to catch up in AI race
Meta drills down on ease of use and privacy options after spending billions overhauling its AI strategy.
Meta AI backtracks on intrusive prompt suggestions
Meta has adjusted its chatbot’s prompt suggestions following a sharp public backlash over invasive behavior. The catalyst was a viral video from user Kalie Robins, where the model prompted her to identify the child in her own video after she cross-posted the content to Facebook. ⚠️
The 🤖 chatbot suggested specific prompts such as "Who is the child passenger?" beneath her post, essentially treating personal media as data points to be queried. Dina El-Kassaby, a spokesperson for Meta, admitted the company “missed the mark,” confirming the feature was incorrectly configured and should never have generated such personal inquiries.
This incident underscores the friction between Meta’s aggressive drive to integrate AI across Instagram, WhatsApp, and Messenger and the basic expectations of user privacy. Unlike competitors like OpenAI or Google, which often face scrutiny for model training data, Meta faces a unique challenge: its AI is now directly interrogating the private moments users share with their real-world social circles. 📉
#Meta #Privacy #AI
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Meta has adjusted its chatbot’s prompt suggestions following a sharp public backlash over invasive behavior. The catalyst was a viral video from user Kalie Robins, where the model prompted her to identify the child in her own video after she cross-posted the content to Facebook. ⚠️
The 🤖 chatbot suggested specific prompts such as "Who is the child passenger?" beneath her post, essentially treating personal media as data points to be queried. Dina El-Kassaby, a spokesperson for Meta, admitted the company “missed the mark,” confirming the feature was incorrectly configured and should never have generated such personal inquiries.
This incident underscores the friction between Meta’s aggressive drive to integrate AI across Instagram, WhatsApp, and Messenger and the basic expectations of user privacy. Unlike competitors like OpenAI or Google, which often face scrutiny for model training data, Meta faces a unique challenge: its AI is now directly interrogating the private moments users share with their real-world social circles. 📉
Just stop asking who the kids are in our family photos.
#Meta #Privacy #AI
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Meta says it’s changing AI suggestions after posing invasive personal questions
Meta says it “missed the mark.”
Meta releases Astryx design system
Meta just launched Astryx in beta, an open-source React-based design system that includes 150+ accessible UI components. The tool is engineered to bridge the gap between human engineers and AI agents, simplifying the development of interactive workflows.
Built on React 19 and StyleX, this release comes after 8 years of internal development, offering a more robust alternative to standard component libraries. It is specifically optimized for both code and agentic execution.
Key features include:
▫️ Custom CLI and MCP tooling
▫️ CSS design tokens for deep customization
▫️ Built-in accessibility standards
▫️ Native support for AI agent interfaces
Unlike standard UI kits that focus solely on human-readable CSS, this handles context transmission for automated workflows directly. It is available now for integration into existing stacks.
#webdev #meta #aiagents
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Meta just launched Astryx in beta, an open-source React-based design system that includes 150+ accessible UI components. The tool is engineered to bridge the gap between human engineers and AI agents, simplifying the development of interactive workflows.
Built on React 19 and StyleX, this release comes after 8 years of internal development, offering a more robust alternative to standard component libraries. It is specifically optimized for both code and agentic execution.
Key features include:
▫️ Custom CLI and MCP tooling
▫️ CSS design tokens for deep customization
▫️ Built-in accessibility standards
▫️ Native support for AI agent interfaces
Unlike standard UI kits that focus solely on human-readable CSS, this handles context transmission for automated workflows directly. It is available now for integration into existing stacks.
#webdev #meta #aiagents
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Meta Muse zero-day exploit
Security researcher Patrick Wardle disclosed a local zero-day in Meta’s Muse AI assistant on September 21, 2026, exposing a critical privilege escalation path.
An unprivileged local process can manipulate the undocumented endo_voyager_dictation_endpoint to redirect dictation traffic to an attacker-controlled server. This effectively bypasses macOS Transparency, Consent, and Control protections, granting unauthorized access to microphone data and authentication tokens.
This vulnerability functions similarly to the Nvidia NemoClaw incident, where malicious interactions allowed external control over an AI agent. The flaw highlights how broad permission footprints can turn local exploits into significant security gaps. Amazon has already begun blocking Muse from its site as a precautionary measure. Meta has since released a hotfix to address the flaw.
#Meta #Cybersecurity #AI
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Security researcher Patrick Wardle disclosed a local zero-day in Meta’s Muse AI assistant on September 21, 2026, exposing a critical privilege escalation path.
An unprivileged local process can manipulate the undocumented endo_voyager_dictation_endpoint to redirect dictation traffic to an attacker-controlled server. This effectively bypasses macOS Transparency, Consent, and Control protections, granting unauthorized access to microphone data and authentication tokens.
We can manipulate the agent and leverage its privileges to do whatever we want.
This vulnerability functions similarly to the Nvidia NemoClaw incident, where malicious interactions allowed external control over an AI agent. The flaw highlights how broad permission footprints can turn local exploits into significant security gaps. Amazon has already begun blocking Muse from its site as a precautionary measure. Meta has since released a hotfix to address the flaw.
#Meta #Cybersecurity #AI
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Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day
A simple ClickFix attack is only one way to completely hijack the new agent.
Meta Unveils Muse Charm in Menlo Park
🔹 At the Meta Connect event in Menlo Park, CEO Mark Zuckerberg introduced the Muse Charm on September 23, a palm-sized wearable device built to run the new Muse AI agent without unlocking a smartphone.
🔹 The gadget features a 2-inch OLED touchscreen, 5G connectivity, dual cameras, a built-in microphone array, and a fingerprint sensor on the top right corner. Bloomberg notes it targets a December release with a price expected to align with smartwatches.
Unlike the commercial failures of the Humane AI Pin and Rabbit R1, this lanyard-mounted device focuses purely on instant voice interaction.
#Meta #AI #Wearables
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🔹 At the Meta Connect event in Menlo Park, CEO Mark Zuckerberg introduced the Muse Charm on September 23, a palm-sized wearable device built to run the new Muse AI agent without unlocking a smartphone.
🔹 The gadget features a 2-inch OLED touchscreen, 5G connectivity, dual cameras, a built-in microphone array, and a fingerprint sensor on the top right corner. Bloomberg notes it targets a December release with a price expected to align with smartwatches.
Unlike the commercial failures of the Humane AI Pin and Rabbit R1, this lanyard-mounted device focuses purely on instant voice interaction.
#Meta #AI #Wearables
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Meta launches Muse for Small Business
On September 29, 2026, Meta released Muse for Small Business, connecting its autonomous agent directly to professional tools like Asana, Zoom, Intuit, and Instagram ad accounts.
The rollout follows the September 8 launch of the original Muse app, which quickly topped Apple's App Store and drew heavy backing from CEO Mark Zuckerberg as the core of the company's AI strategy.
With over 200 million small businesses already on Facebook, the new agent aims to handle routine tasks like customer acquisition while keeping you in full control of approvals.
🚀 Want to see if it actually saves hours on client management?
#Meta #AIagents #SmallBusiness
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On September 29, 2026, Meta released Muse for Small Business, connecting its autonomous agent directly to professional tools like Asana, Zoom, Intuit, and Instagram ad accounts.
The rollout follows the September 8 launch of the original Muse app, which quickly topped Apple's App Store and drew heavy backing from CEO Mark Zuckerberg as the core of the company's AI strategy.
With over 200 million small businesses already on Facebook, the new agent aims to handle routine tasks like customer acquisition while keeping you in full control of approvals.
🚀 Want to see if it actually saves hours on client management?
#Meta #AIagents #SmallBusiness
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Meta releases agentic AI models Muse Wonder and Muse Wonder Full
On October 12, 2026, Meta launched Muse Wonder and Muse Wonder Full for complex agentic workflows. The top variant scored 56 points on the Artificial Analysis Intelligence Index, up from 48 for Muse Spark 1.3.
⚡ Each task costs $4.52 to run, nearly triple the $1.60 price of the previous version. Input tokens rose to $4 per million, and output tokens hit $20.
Both models offer a one-million-token context window with active memory. Developers access them through Meta Model API and Muse Code.
Factual knowledge scores 30 points on the AA-Omniscience test while hallucination rates fell to 23 percent.
#AI #Meta #TechNews
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On October 12, 2026, Meta launched Muse Wonder and Muse Wonder Full for complex agentic workflows. The top variant scored 56 points on the Artificial Analysis Intelligence Index, up from 48 for Muse Spark 1.3.
⚡ Each task costs $4.52 to run, nearly triple the $1.60 price of the previous version. Input tokens rose to $4 per million, and output tokens hit $20.
Both models offer a one-million-token context window with active memory. Developers access them through Meta Model API and Muse Code.
Factual knowledge scores 30 points on the AA-Omniscience test while hallucination rates fell to 23 percent.
#AI #Meta #TechNews
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⚡️ #JUST_IN Meta and Apple launch Muse Spark Open
🚀 Meta released Muse Spark Open, an 816 billion parameter open-weight model built for coding and agentic workflows in partnership with Apple.
Running the model locally requires two upcoming Mac Studio desktops equipped with a combined terabyte of unified memory.
#AI ⚡ #Meta ⚡ #MacStudio
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🚀 Meta released Muse Spark Open, an 816 billion parameter open-weight model built for coding and agentic workflows in partnership with Apple.
Running the model locally requires two upcoming Mac Studio desktops equipped with a combined terabyte of unified memory.
#AI ⚡ #Meta ⚡ #MacStudio
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Meta stock sale to fund AI buildout
On 26 October, Meta announced plans to raise up to $95 billion through stock sales to expand its artificial intelligence infrastructure.
Nvidia, AMD, and Broadcom are reportedly eyeing up to $5 billion in shares to support the massive infrastructure push. 🚀
#ArtificialIntelligence ⚡ #Meta ⚡ #TechInvestments
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On 26 October, Meta announced plans to raise up to $95 billion through stock sales to expand its artificial intelligence infrastructure.
Nvidia, AMD, and Broadcom are reportedly eyeing up to $5 billion in shares to support the massive infrastructure push. 🚀
#ArtificialIntelligence ⚡ #Meta ⚡ #TechInvestments
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Meta expands AI age verification on Instagram
Meta is deploying AI tech globally to identify users who falsified their birthdates. The system analyzes behavioral clues—from interaction patterns to visual cues—to automatically shift teens into protected 'Teen Accounts' 🤖.
This rollout follows a $17.1 billion legal settlement requiring Meta to implement stricter safety measures and restrict access for younger users.
#ArtificialIntelligence ⚡ #Instagram ⚡ #Meta
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Meta is deploying AI tech globally to identify users who falsified their birthdates. The system analyzes behavioral clues—from interaction patterns to visual cues—to automatically shift teens into protected 'Teen Accounts' 🤖.
This rollout follows a $17.1 billion legal settlement requiring Meta to implement stricter safety measures and restrict access for younger users.
#ArtificialIntelligence ⚡ #Instagram ⚡ #Meta
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Meta launches Muse Ember for agent workflows
On November 9, Meta released Muse Ember, a lightweight reasoning model built for repetitive agent tasks. It handles tool calls, data extraction, and document analysis with a 1-million-token context window. 🤖
The model serves as a direct, cost-effective competitor to Claude Haiku, optimized specifically to run high-volume agent operations at a lower cost.
#ArtificialIntelligence ⚡ #Meta ⚡ #LLM
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On November 9, Meta released Muse Ember, a lightweight reasoning model built for repetitive agent tasks. It handles tool calls, data extraction, and document analysis with a 1-million-token context window. 🤖
The model serves as a direct, cost-effective competitor to Claude Haiku, optimized specifically to run high-volume agent operations at a lower cost.
#ArtificialIntelligence ⚡ #Meta ⚡ #LLM
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