author
Senior Research Scientist
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Snorkel AI
Ankit Aich is a senior research scientist at Snorkel AI. He focuses on frontier model benchmarking, data curation, failure point analysis, and research.
He finished his PhD and MS in computer science from UIC-CS. His research aims to improve patient health outcomes by working towards collaborative-AI technology. He has worked at multiple places including the National Institutes of Health, the University of Pennsylvania, Scale AI, and FINRA. Language modeling stands as a cornerstone of my work, serving as a powerful tool to decode and comprehend the complexities of our world. He believes language offers a unique lens through which we can observe and understand our surroundings.
The latest from Ankit Aich
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Fable 5.1 on Frontier Coding Tasks: Efficient Successes, Distinct Failure Modes
We evaluated Fable 5.1 on a series of frontier coding tasks from our proprietary Terminal-Bench+ dataset and compared the results against Opus 5. Fable remained competitive across most categories and was materially more efficient on successful runs, while its gap was concentrated in a small set of terminal-heavy and build/dependency tasks. Because category sizes are small and uneven, we treat…
Blog
Claude Opus 5: Performance and Error Analysis on Frontier Coding Tasks
Anthropic’s Claude Opus 5 recently debuted as the second model overall on the current Senior SWE-bench leaderboard, behind Fable 5. It also achieves the highest score of any evaluated model on the benchmark’s Bug & Performance Investigation category, reinforcing the rapid progress frontier coding models continue to make on increasingly realistic software engineering tasks. Just as notable, Opus 5 reaches…
