Home / Technology / AI Learns to Research: MiroThinker 1.5 Leaps Ahead
AI Learns to Research: MiroThinker 1.5 Leaps Ahead
8 Jan
Summary
- MiroThinker 1.5, a 30B parameter model, offers agentic research capabilities.
- It features 'scientist mode' to reduce AI hallucinations through verifiable reasoning.
- The model achieves performance comparable to models with 30x more parameters.
MiroThinker 1.5, a new 30 billion parameter AI model, has been released by MiroMind, challenging larger foundation models with its advanced reasoning and agentic research capabilities. This development signifies a significant stride towards deployable and efficient AI agents for enterprises, offering a cost-effective alternative to expensive API calls or compromised local performance.
The model's "scientist mode" architecture fundamentally addresses AI hallucinations by emphasizing a verifiable research loop: proposing hypotheses, seeking external evidence, and revising conclusions. This verifiable reasoning process, unlike traditional memorization-based approaches, provides auditability and a clear documentation trail, crucial for regulated industries like finance and healthcare.
Performance benchmarks demonstrate MiroThinker 1.5's ability to punch above its weight, with its 30B variant outperforming larger competitors on web research tasks and boasting significantly lower inference costs. Additionally, its extensive tool-use support, up to 400 calls per session, positions it for complex autonomous task completion.
