Magic vs Chatling: Which is better?

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Things we believe Code generation is both a product and a path to AGI AGI safety matters and is solvable To build a great AI product, we need to train our own frontier-scale model Transformers aren’t the final architecture; we have something with a multi-million-token context window

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Chatling

- Chatling is a platform that offers powerful solutions for automating customer communication using AI. - We help businesses create chatbots and virtual assistants, improving user experience and increasing the efficiency of interactions.

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Key features

Magic

Development of frontier code models to automate software engineering and AI research.
Utilization of ultra-long context models and domain-specific reinforcement learning for improved AI capabilities.
Comprehensive evaluation and monitoring of AI capabilities to reduce existential risks.
A collaborative and hands-on team culture focused on safely deploying AGI.
Competitive compensation and benefits, including equity, health insurance, and unlimited paid time off.

ChatlingNo data

Useful for

Magic

Automates AI research and code generation to enhance model reliability and alignment.

Magic vs Chatling: Which is better?

Key features

Magic

Development of frontier code models to automate software engineering and AI research.
Utilization of ultra-long context models and domain-specific reinforcement learning for improved AI capabilities.
Comprehensive evaluation and monitoring of AI capabilities to reduce existential risks.
A collaborative and hands-on team culture focused on safely deploying AGI.
Competitive compensation and benefits, including equity, health insurance, and unlimited paid time off.

ChatlingNo data

Useful for

Magic

Automates AI research and code generation to enhance model reliability and alignment.

Use cases

Magic

Automating AI research and code generation to enhance model alignment and reliability.
Building and maintaining security infrastructure to protect AI models from cyber threats.
Developing internal evaluation platforms to assess the performance of AI models and datasets.
Designing and optimizing distributed systems for high-performance inference and reinforcement learning.
Creating and managing large-scale data pipelines and datasets for training AI models.

ChatlingNo data

Price

Magic

Annual salary ranges from $200K to $550K depending on experience for various positions.
Equity is a significant part of total compensation in addition to salary.
401(k) plan with 6% salary matching offered.
Generous health, dental, and vision insurance for employees and their dependents.
Unlimited paid time off provided.

ChatlingFree