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Magic

Research Assistant Paid ★ 4.0 (100)

Magic is building frontier code models to automate software engineering and research, with the goal of achieving safe AGI through automation of AI research and code generation. The company is working on a direct path to AGI, with a focus on combining frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and inference-time compute.

Key features

Frontier-scale pre-training
Domain-specific reinforcement learning
Ultra-long context
Inference-time compute

Pros

Potential for significant advancements in AI research
Ambitious goal of achieving safe AGI

Cons

Highly complex and challenging research problems
Existential risks associated with AI capabilities

AI researchAGIAutomationSoftware engineering

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