MuseNet Description
We have developed MuseNet, an advanced deep neural network capable of producing 4-minute musical pieces featuring 10 distinct instruments, while seamlessly merging genres ranging from country to the classical compositions of Mozart and even the iconic sounds of the Beatles. Rather than being programmed with musical knowledge, MuseNet identifies and learns patterns of harmony, rhythm, and style through the process of predicting the subsequent token in a vast collection of MIDI files. This innovative model employs the same unsupervised technology as GPT-2, a robust transformer model designed to anticipate the next token in a sequence, whether it pertains to audio or text. Thanks to MuseNet's understanding of diverse musical styles, we are able to create unique blends of musical generations. We eagerly anticipate the creative ways in which both musicians and those without formal training will leverage MuseNet to craft original compositions! Users can select a composer or style and optionally begin with a well-known piece, allowing them to delve into the rich array of musical styles that the model can produce. This opens up exciting possibilities for artistic exploration and experimentation.
MuseNet Alternatives
Adobe Firefly is a versatile AI-powered creative platform designed to help users generate and edit multimedia content with ease. It allows users to create images, videos, and audio using simple text prompts within an interactive and flexible workspace. The platform features tools like generative fill, image editing, and video editing, enabling users to refine and enhance their creations. Firefly also includes quick actions such as background removal, cropping, resizing, and format conversion to streamline workflows. Users can explore an infinite canvas for creative production and experiment with various styles and outputs. The platform encourages creativity by allowing users to remix content from a shared community gallery. With its intuitive design, it reduces the need for advanced technical skills. Firefly integrates AI capabilities to speed up content creation and editing processes. It supports both beginners and professionals in producing high-quality results. Overall, Adobe Firefly provides a powerful and accessible environment for modern digital creativity.
Learn more about Adobe Firefly
Muzaic.ai is a browser-based tool that scores video automatically. You give it a cut (or a folder of cuts); it returns a finished audio mix — music, SFX, ambience and voiceover as separate layers — mastered to broadcast spec, in roughly 30 seconds per clip.
What it actually does
The pipeline runs in four stages. First it analyses the video: scenes, objects, pacing, colour and sentiment. From that it builds an audio plan and commits each concept to a clear direction (the site's example: a string quartet under a battle scene) rather than averaging toward something inoffensive. Then it composes every layer to fit the picture and the other layers — SFX land on the action, ambience ducks under speech, the voiceover is drafted from your brief rather than read out. Finally it mixes and masters the result. Existing audio in the source can be kept, replaced or mixed under.
Output is three concepts per clip, exported as MP3 or WAV. Layer balance is adjusted inside Muzaic before export; the deliverable is the finished mix, not separate stems.
The commercial angle
Pricing is metered in minutes of finished audio, not per track or per download; downloads are unlimited. Personal is free for 10 minutes a month, non-commercial only. Creator ($45/month) covers your own brand and paid ads. Studio ($249/month) is for agencies: the licence travels to the client and the legal cover extends to them too. Enterprise adds TV, radio, cinema and OOH, plus a custom contract, DPA and SLA.
What it is not
It is not a music-generation toy. The free tier exists to test the workflow on your own footage; nothing from it may be published. The target user is a team producing hundreds of ad variants a month, where the audio step is the bottleneck.
Learn more about Muzaic
Muse Ember
Muse Ember is a multimodal AI model developed by Meta Superintelligence Labs to provide efficient reasoning and task execution for autonomous AI agents and enterprise applications. The model is optimized for high-volume workloads involving tool calls, coding subtasks, data extraction, document analysis, and automated business processes. Its one-million-token context window allows applications to process extensive software repositories, long documents, and large collections of business records in a single request. Muse Ember accepts text, images, audio, video, and PDF inputs, enabling developers to build AI systems that understand multiple forms of information without switching between specialized models. Its agentic capabilities allow applications to retrieve records, interact with software tools, execute sequential operations, and update information across connected systems. For software development, the model supports source code inspection, automated testing, targeted code modifications, and technical problem-solving within agent-driven development environments. Meta reports benchmark scores of 37.8% on AutomationBench-AA, 40.9% on Terminal-Bench 4.0, and 27.2% on FrontierCode 2.0-AA. The model can operate as a specialized execution component alongside larger models such as Muse Wonder and Muse Spark, reducing the cost of repeated operations in multi-agent workflows. Muse Ember is accessible through Meta Model API and Muse Code, with usage-based pricing of $0.10 per million input tokens, $0.004 per million cached input tokens, and $0.50 per million output tokens.
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Muse
Meta Muse is a personal AI agent built to help users complete everyday tasks rather than only answer questions in a chat interface. The service operates through a persistent secure virtual machine equipped with its own browser so it can navigate websites and carry out online workflows. Muse can help with activities such as scheduling appointments, completing forms, interacting with customer service, and making arrangements on the user’s behalf. Users can communicate with the agent through the Muse app or directly in WhatsApp using a conversational messaging interface. The agent can connect with services such as email, calendars, Instagram, and other frequently used applications to work across a broader set of personal tasks. Muse can turn goals into action plans, track progress, and proactively suggest additional steps based on what the user is trying to accomplish. For consequential actions such as sending emails or completing purchases, the system can request approval before proceeding and provides an audit trail of agent activity. Login credentials are stored in a secure credential system that the agent itself cannot read, while checkout workflows can use one-time card numbers so the user’s primary payment information is not exposed. Muse is designed for people who want an AI agent that can actively execute tasks, coordinate across apps, and continue working toward goals with user oversight.
Learn more about Muse
Pricing
Free Trial:
Yes
Company Details
Company:
OpenAI
Year Founded:
2015
Headquarters:
United States
Website:
openai.com/blog/musenet/
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Webinars
Training Videos
Customer Support
Online Support
MuseNet Features and Options
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