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Muse Spark 1.1 also excels in perception and multimodal reasoning, inspecting visual and audio inputs, preserving details across long workflows, and acting on them in real execution environments. It shows particular strengths in visual-to-code generation, rich image/video captioning, and agentic computer use. In this demo, using video shot from... show more

AI at Meta

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74,271 次观看 • 3 个月前 •via X (Twitter)

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12 条评论

AI at Meta 的头像

AI at Meta3 个月前

Muse Spark 1.1 is used across Meta in coding and research workflows, scoring competitively with leading models on Meta's internal coding benchmark. Our researchers are now automating model development and evaluation tasks by leveraging Muse Spark 1.1 in their workflows.

AI at Meta 的头像

AI at Meta3 个月前

Muse Spark 1.1 delivers substantial performance leaps over our first model on complex feature implementation, end-to-end development tasks, and codebase search and understanding.

AI at Meta 的头像

AI at Meta3 个月前

Muse Spark 1.1 excels at multi-app computer-use workflows by maintaining context across extended sessions and intelligently choosing between scripting, direct UI interaction, and batched actions at each step. It’s able to navigate unfamiliar interfaces with minimal human intervention. The dinner party demo below illustrates this: when friends update their availability mid-booking, Muse Spark 1.1 notices these changes when placing the dinner order and makes necessary updates without user intervention.

AI at Meta 的头像

AI at Meta3 个月前

Trained to orchestrate multi-agent systems, Muse Spark 1.1 zero-shot generalizes to new tools and services, plans complex personal tasks across external apps, and delegates work to parallel subagents, completing projects significantly faster than its predecessor.

AI at Meta 的头像

AI at Meta3 个月前

Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.

AI at Meta 的头像

AI at Meta3 个月前

We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year. Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1. The model is also available now in "Thinking" mode in the Meta AI app and on Learn more:

Pavel Vavrinek 🦞 的头像

Pavel Vavrinek 🦞3 个月前

Amazing , looks pretty awesome and capable

Hova 的头像

Hova3 个月前

Hey @grok öz özünə necə edir hansı qaydada telimatlarala

Hunter Hemsley 的头像

Hunter Hemsley3 个月前

can you speed up the release of Muse videos and improve the quality of Muse images?

𖤓𖤓 的头像

𖤓𖤓3 个月前

It is the first AI model to convert my app from React to HTML without any glitches. It's wonderful

Si(super intelligence) 的头像

Si(super intelligence)3 个月前

👍👍💪🏻💪🏻

Investors Guide To The Galaxy 的头像

Investors Guide To The Galaxy3 个月前

Noice!

相关视频

Muse Spark 1.1 is here! Available today via API and on Of all the agentic use cases, I’m most excited about this one: going from a single video shot straight to task completion. 🚀 We’ve also polished and launched Computer Use and Video-Audio Perception for Muse Spark 1.1. Read more:

Muse Spark 1.1 is here! Available today via API and on Of all the agentic use cases, I’m most excited about this one: going from a single video shot straight to task completion. 🚀 We’ve also polished and launched Computer Use and Video-Audio Perception for Muse Spark 1.1. Read more:

Jiahui Yu

122,097 次观看 • 3 个月前

Muse Spark 1.2 supports a broad range of multimodal tasks, from turning visuals into working code to translating perception into physical action. It also brings robust audio-visual understanding to enable video-heavy workflows common in real-world enterprise use. Today, we’re sharing new evals and demos that illustrate the breadth of the model’s visual understanding and reasoning capabilities. Let’s start with a demo that shows how Muse Spark parses multimodal observations and calls tools to guide a robot to navigate in an unstructured environment to find a rubber duck. 🧵👇

Muse Spark 1.2 supports a broad range of multimodal tasks, from turning visuals into working code to translating perception into physical action. It also brings robust audio-visual understanding to enable video-heavy workflows common in real-world enterprise use. Today, we’re sharing new evals and demos that illustrate the breadth of the model’s visual understanding and reasoning capabilities. Let’s start with a demo that shows how Muse Spark parses multimodal observations and calls tools to guide a robot to navigate in an unstructured environment to find a rubber duck. 🧵👇

AI at Meta

58,996 次观看 • 2 个月前

In the past 6 months... - Muse Spark - Muse Image - Muse Video - Muse Spark 1.1 - Meta Model API - Muse Glimmer - Muse Spark 1.2 - Muse Code - Muse Spark 1.3 - Muse ...and we’re just getting started. 🚀

In the past 6 months... - Muse Spark - Muse Image - Muse Video - Muse Spark 1.1 - Meta Model API - Muse Glimmer - Muse Spark 1.2 - Muse Code - Muse Spark 1.3 - Muse ...and we’re just getting started. 🚀

AI at Meta

192,289 次观看 • 29 天前

1/ muse spark 1.2 is a very strong multimodal model—it can do visual coding, robotics planning, and audio-visual understanding that all come together through agentic tools.

1/ muse spark 1.2 is a very strong multimodal model—it can do visual coding, robotics planning, and audio-visual understanding that all come together through agentic tools.

Alexandr Wang

182,862 次观看 • 2 个月前

3/ computer use: it can operate desktop, browser, and mobile. muse spark 1.1 is trained to know when to automate and when to use interfaces directly. it scripts when that’s faster, clicks when direct interaction is simpler, and batches actions at each step.

3/ computer use: it can operate desktop, browser, and mobile. muse spark 1.1 is trained to know when to automate and when to use interfaces directly. it scripts when that’s faster, clicks when direct interaction is simpler, and batches actions at each step.

Alexandr Wang

162,516 次观看 • 3 个月前

Introducing Meta Perception Encoder: a vision encoder setting new standards in image & video tasks. It excels in zero-shot classification & retrieval, surpassing existing models. Learn more about Meta Perception Encoder, read the research paper, and download the code and dataset

Introducing Meta Perception Encoder: a vision encoder setting new standards in image & video tasks. It excels in zero-shot classification & retrieval, surpassing existing models. Learn more about Meta Perception Encoder, read the research paper, and download the code and dataset

AI at Meta

74,689 次观看 • 1 年前

Muse Spark claims to outperform leading AI models like Opus, GPT, and Gemini. We put it through a real-world finance stress test. Beep agents can now use Muse Spark for agentic trading on Sui. Deploy now: 🧵

Muse Spark claims to outperform leading AI models like Opus, GPT, and Gemini. We put it through a real-world finance stress test. Beep agents can now use Muse Spark for agentic trading on Sui. Deploy now: 🧵

Beep

96,829 次观看 • 3 个月前

2/It's a step up on reasoning and coding. compared to Muse Spark 1.2, Muse Spark 1.3 wastes fewer turns, uses ~20% fewer tool calls, ~25% fewer tokens, and holds onto requirements well during long-horizon tasks.

2/It's a step up on reasoning and coding. compared to Muse Spark 1.2, Muse Spark 1.3 wastes fewer turns, uses ~20% fewer tool calls, ~25% fewer tokens, and holds onto requirements well during long-horizon tasks.

Alexandr Wang

35,480 次观看 • 1 个月前

META 🔥: Muse Image, the first image-gen model from MSL, is now available on Meta AI. > It uses advanced reasoning to understand complex prompts, seamlessly blending multiple photos into high-quality creations you can download and share anywhere. Users can also access Presets, mention images in the prompt, and edit images directly. Muse Image is also available on WhatsApp and Instagram and is planned to arrive on Messenger and Facebook later. Testing time 👀

META 🔥: Muse Image, the first image-gen model from MSL, is now available on Meta AI. > It uses advanced reasoning to understand complex prompts, seamlessly blending multiple photos into high-quality creations you can download and share anywhere. Users can also access Presets, mention images in the prompt, and edit images directly. Muse Image is also available on WhatsApp and Instagram and is planned to arrive on Messenger and Facebook later. Testing time 👀

🚨 AI News | TestingCatalog

40,989 次观看 • 3 个月前

Code Arena can handle image inputs for agentic web dev tasks, reasoning through multi-step problems and using tools along the way. Watch how it works with Aryan Vichare in this clip. Find a link to the full walkthrough on how Code Arena creates sites and apps from images in thread.

Code Arena can handle image inputs for agentic web dev tasks, reasoning through multi-step problems and using tools along the way. Watch how it works with Aryan Vichare in this clip. Find a link to the full walkthrough on how Code Arena creates sites and apps from images in thread.

Arena.ai

20,064 次观看 • 6 个月前

🆕 Anthropic's Claude Opus 4.7 is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has stronger multi-step task performance and more reliable agentic execution ➡️ Meaningful improvement in long-horizon reasoning and complex workflows Try it out in Visual Studio Code or Copilot CLI.

🆕 Anthropic's Claude Opus 4.7 is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has stronger multi-step task performance and more reliable agentic execution ➡️ Meaningful improvement in long-horizon reasoning and complex workflows Try it out in Visual Studio Code or Copilot CLI.

GitHub

260,335 次观看 • 6 个月前

Gemini 3.7 Flash: "Play 1 round of Wordle" using my Android emulator via ADB. The latency and visual reasoning make Gemini 3.7 Flash exceptionally good for multimodal agentic use case like mobile control and Computer Use.

Gemini 3.7 Flash: "Play 1 round of Wordle" using my Android emulator via ADB. The latency and visual reasoning make Gemini 3.7 Flash exceptionally good for multimodal agentic use case like mobile control and Computer Use.

Philipp Schmid

18,290 次观看 • 2 个月前

H3 Max Director 1.1 is now available. New features for longer, more controllable video generation: - Start with any frame and insert keyframes throughout a generation - Introduce audio at any point, with native audio conditioning - Generate natively in 1080p - Run continuous generations for up to 15 minutes Director adapts to new visual and audio inputs in real time, giving you precise control without breaking continuity.

H3 Max Director 1.1 is now available. New features for longer, more controllable video generation: - Start with any frame and insert keyframes throughout a generation - Introduce audio at any point, with native audio conditioning - Generate natively in 1080p - Run continuous generations for up to 15 minutes Director adapts to new visual and audio inputs in real time, giving you precise control without breaking continuity.

fal

79,094 次观看 • 1 个月前

One of the best uses for Muse Spark: generating HTML explainers. Dense design docs are painful to review. Point Muse Spark at one and get back an explainer you can click through — before/after states, the technical reasoning, all of it. Works on PRs too. Muse Spark strikes a good balance of speed, quality, and cost for this kind of task. Free for a limited time in OpenCode — which works inside Orca.

One of the best uses for Muse Spark: generating HTML explainers. Dense design docs are painful to review. Point Muse Spark at one and get back an explainer you can click through — before/after states, the technical reasoning, all of it. Works on PRs too. Muse Spark strikes a good balance of speed, quality, and cost for this kind of task. Free for a limited time in OpenCode — which works inside Orca.

Orca ADE

18,921 次观看 • 1 个月前

muse spark 1.1 in AdaL Engineer beats Opus4.8 in Claude Code with 20% of the cost loop engineering, when done right, is beyond just running longer, its delivering better results when contexts are managed well and when workers are better prompted to stay honest. how GANs had changed image generation is how loop engineering is changing agentic engineering. muse sparking is truly musing the world, bringing us to the next more autonomous era.

muse spark 1.1 in AdaL Engineer beats Opus4.8 in Claude Code with 20% of the cost loop engineering, when done right, is beyond just running longer, its delivering better results when contexts are managed well and when workers are better prompted to stay honest. how GANs had changed image generation is how loop engineering is changing agentic engineering. muse sparking is truly musing the world, bringing us to the next more autonomous era.

Li Yin

63,641 次观看 • 3 个月前

Muse Glimmer one-shot 5 games! AI at Meta dropped Muse Glimmer. So we ran it against Muse Spark 1.2, on five one-file game demos, each one written to play itself: Tetris, a top-down pixel street race, a rooftop web-slinger, a blue hedgehog platformer, and Flappy Bird. the setup: • Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02 • Muse Spark 1.2 — via aimlapi[.]com. cost: $0.11 what we saw: • every Glimmer scene runs and plays itself. it's a reasoning model, so it burns more tokens — but the output is clean. its Tetris even scores each placement to keep lines clearing, and the blocks burst into pixels on every clear. • Glimmer beat Spark at Flappy Bird — its bird flew through the pipes cleaner. • but it's not perfect: in the racing game its cars sometimes slip off the road, and its graphics are simpler and blockier than Spark's. glad to see Meta back in open source — and we're waiting for Spark 1.2 weights next 🙌

Muse Glimmer one-shot 5 games! AI at Meta dropped Muse Glimmer. So we ran it against Muse Spark 1.2, on five one-file game demos, each one written to play itself: Tetris, a top-down pixel street race, a rooftop web-slinger, a blue hedgehog platformer, and Flappy Bird. the setup: • Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02 • Muse Spark 1.2 — via aimlapi[.]com. cost: $0.11 what we saw: • every Glimmer scene runs and plays itself. it's a reasoning model, so it burns more tokens — but the output is clean. its Tetris even scores each placement to keep lines clearing, and the blocks burst into pixels on every clear. • Glimmer beat Spark at Flappy Bird — its bird flew through the pipes cleaner. • but it's not perfect: in the racing game its cars sometimes slip off the road, and its graphics are simpler and blockier than Spark's. glad to see Meta back in open source — and we're waiting for Spark 1.2 weights next 🙌

AI/ML API

17,476 次观看 • 2 个月前

From Vibe Coding to Vibe World. 🌍 MiMo-V2.6 brings together 3D spatial reasoning, multimodal perception and computer use to build and interact with richer environments. 🔹 Turn text, images or video into playable 3D worlds, coordinating agents to build scenes, write interaction logic and refine the results 🔹 Create Blender objects and scenes for animation, 3D printing and games 🔹 Control a Franka Panda arm in simulation through visual feedback 🔹 Use desktop tools to search, edit and process data — then inspect the results and adjust its next actions Build. Observe. Refine.

From Vibe Coding to Vibe World. 🌍 MiMo-V2.6 brings together 3D spatial reasoning, multimodal perception and computer use to build and interact with richer environments. 🔹 Turn text, images or video into playable 3D worlds, coordinating agents to build scenes, write interaction logic and refine the results 🔹 Create Blender objects and scenes for animation, 3D printing and games 🔹 Control a Franka Panda arm in simulation through visual feedback 🔹 Use desktop tools to search, edit and process data — then inspect the results and adjust its next actions Build. Observe. Refine.

Xiaomi MiMo

43,196 次观看 • 1 个月前

Most AI demos stop at text prompts. I wanted to see what Qwen3.7-Plus could do beyond chat, so I tested it through the API using an Airbnb interface screenshot. The model analyzed the UI, identified key components, explained the visual hierarchy, highlighted usability strengths, suggested UX improvements, and even generated a React + Tailwind structure to recreate the interface. A few things that stood out: 👁️ Multimodal understanding from a single screenshot 🧠 Strong reasoning around UX and product design decisions 💻 Able to bridge visual inputs and code generation ⚡ OpenAI-compatible API that was easy to integrate 💰 Impressive capability-to-cost ratio Qwen3.7-Plus isn't just a chatbot. It's a multimodal agent model designed for workflows that combine vision, reasoning, coding, and automation. Try Qwen3.7-Plus with limited time 20% off:

Most AI demos stop at text prompts. I wanted to see what Qwen3.7-Plus could do beyond chat, so I tested it through the API using an Airbnb interface screenshot. The model analyzed the UI, identified key components, explained the visual hierarchy, highlighted usability strengths, suggested UX improvements, and even generated a React + Tailwind structure to recreate the interface. A few things that stood out: 👁️ Multimodal understanding from a single screenshot 🧠 Strong reasoning around UX and product design decisions 💻 Able to bridge visual inputs and code generation ⚡ OpenAI-compatible API that was easy to integrate 💰 Impressive capability-to-cost ratio Qwen3.7-Plus isn't just a chatbot. It's a multimodal agent model designed for workflows that combine vision, reasoning, coding, and automation. Try Qwen3.7-Plus with limited time 20% off:

Kuria | AI

17,044 次观看 • 4 个月前

In this demo, you’ll see Gemini 3 Flash’s frontier-level reasoning and multimodal capabilities on display. The model is able to simultaneously conduct complex geometric calculations while processing complex inputs (video and image). You can play around with the slingshot in Google AI Studio here and share your favorite examples below:

In this demo, you’ll see Gemini 3 Flash’s frontier-level reasoning and multimodal capabilities on display. The model is able to simultaneously conduct complex geometric calculations while processing complex inputs (video and image). You can play around with the slingshot in Google AI Studio here and share your favorite examples below:

Google AI

55,622 次观看 • 10 个月前

Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀 This tool empowers creators in video production, filmmaking, and game development to generate professional-grade audio that precisely aligns with visual dynamics and semantic context, addressing key challenges in V2A generation.🔊 Key Innovations: 🔹Exceptional Generalization: Trained on a massive 100k-hour multimodal dataset, the model generates contextually-aware soundscapes for a wide range of scenes, from natural landscapes to animated shorts. 🔹Balanced Multimodal Response: Our innovative multimodal diffusion transformer (MMDiT) architecture ensures the model balances video and text cues, generating rich, layered sound effects that capture every detail—from the main subject to subtle background elements. 🔹High-Fidelity Audio: Using a Representation Alignment (REPA) loss function and a powerful Audio VAE, we've improved generation stability and producing professional-grade audio, free of noise and inconsistencies. HunyuanVideo-Foley achieves SOTA on multiple benchmarks, surpassing all open-source models in audio quality, visual-semantic alignment, and temporal alignment. 👉Try it now: 🌐Project Page: 🔗Code: 📄Technical Report: 🤗Hugging Face:

Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀 This tool empowers creators in video production, filmmaking, and game development to generate professional-grade audio that precisely aligns with visual dynamics and semantic context, addressing key challenges in V2A generation.🔊 Key Innovations: 🔹Exceptional Generalization: Trained on a massive 100k-hour multimodal dataset, the model generates contextually-aware soundscapes for a wide range of scenes, from natural landscapes to animated shorts. 🔹Balanced Multimodal Response: Our innovative multimodal diffusion transformer (MMDiT) architecture ensures the model balances video and text cues, generating rich, layered sound effects that capture every detail—from the main subject to subtle background elements. 🔹High-Fidelity Audio: Using a Representation Alignment (REPA) loss function and a powerful Audio VAE, we've improved generation stability and producing professional-grade audio, free of noise and inconsistencies. HunyuanVideo-Foley achieves SOTA on multiple benchmarks, surpassing all open-source models in audio quality, visual-semantic alignment, and temporal alignment. 👉Try it now: 🌐Project Page: 🔗Code: 📄Technical Report: 🤗Hugging Face:

Tencent Hy

122,881 次观看 • 1 年前