Magic

Magic is an AI company that develops advanced code models to assist developers in generating code, acting as a virtual coworker rather than just a copilot. The company's technology aims to revolutionize code generation while prioritizing artificial general intelligence (AGI) safety.

Key features:
- Frontier-Scale Code Models: Advanced models designed to assist developers by generating code, effectively acting as a coworker.
- Multi-Million-Token Context Window: Proprietary architecture supporting a significantly larger context window than traditional transformer models, enabling more complex and context-aware code generation.
- AGI Safety: Prioritization of robust safety measures in model development.
- Optimized GPU Kernels: Focus on optimizing GPU kernels through PTX and SASS analysis for efficient performance.
- Large-Scale Infrastructure: Maintenance of large Kubernetes clusters with thousands of GPUs to support computational needs.
- Comprehensive Data Collection: Internet-wide data collection to ensure diverse and comprehensive training datasets.
- Adaptive Sharding Framework: Adaptation of sharding framework to train new architectures, enhancing model scalability and efficiency.
- Hardware-Aware Algorithms: Design of algorithms optimized for specific hardware to improve performance and efficiency.

How it works:
1. Users interact with Magic through a web app or integrated development interfaces.
2. Developers can request code generation, suggestions, or automation for specific tasks.
3. The AI model processes the request using its large context window and advanced architecture.
4. The system generates relevant code snippets, optimizations, or suggestions based on the user's input.

Integrations:
Integrated Development Environments (IDEs), Version Control Systems, Cloud Platforms

Use of AI:
Magic utilizes generative artificial intelligence to create its code models. These models are built on a proprietary architecture that extends beyond traditional transformers, featuring a multi-million-token context window for enhanced understanding and generation of complex, contextually relevant code.

AI foundation model:
The company has developed a proprietary architecture that surpasses traditional transformer models, incorporating a multi-million-token context window. This allows for more sophisticated code generation and understanding of complex programming contexts.

Target users:
- Software Developers
- Machine Learning Engineers
- Tech Companies
- AGI and AI Safety Researchers

How to access:
Magic is available as a web app and potentially through other interfaces that integrate with development tools. The company also offers APIs and SDKs for customized integrations.