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Laude Institute announces first batch of ‘Slingshots’ AI grants
The Laude Institute launched its first Slingshots AI grants to enhance AI research, providing resources that are typically scarce in academia. This inaugural group features 15 projects focused on AI evaluation, including Terminal Bench and ARC-AGI, with a requirement for recipients to deliver end products such as startups or open-source code.
Key points
- Laude Institute announces Slingshots AI grants to support researchers.
- Grants aim to provide critical resources including funding and compute power.
- Recipients must produce a final work product related to AI.
- Initial cohort includes 15 projects focusing on AI evaluation challenges.
- Notable projects: Terminal Bench, ARC-AGI, and new initiatives like FormulaCode and BizBench.
- CodeClash, led by John Boda Yang, uses a competition-based approach to assess code.
Why it matters
- AI evaluation is becoming increasingly crucial as reliance on AI technologies grows.
- The focus on collaboration and open-source projects aligns with 2025 trends in IT emphasizing transparency and shared innovation.
- Previous initiatives, like SWE-Bench, highlight the importance of benchmarking in AI progress.
- These grants reflect a shift towards more practical applications of AI research in real-world scenarios.
The Slingshots AI grants signify a vital step in advancing AI research through collaborative projects, addressing evaluation challenges, and fostering innovation within the academic space.