In the news
How Molmo 2’s open release helped an MIT researcher rethink fish tracking
Ai2 · Published · 3 min read
In 30 seconds
- What happened
- MIT researcher adapted Molmo 2, an open vision-language model, to track salmon in sonar video and correct tracking errors using natural language instructions.
- Why it matters
- Matters for ecologists and conservation researchers who need to count fish populations from video but lack efficient automated tracking tools.
- Watch out
- Molmo2Fish remains a research project, not deployed in real-world use. Language-guided corrections work better on weaker predictions than strong ones.
- olmo
The patterns behind this
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- Error Handling and Recovery Patterns
- Agentic Context Engineering (Evolving Playbook)
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