Laude Institute announces first batch of ‘Slingshots’ AI grants

On Thursday, the Laude Institute introduced its first batch of Slingshots grants, aimed toward “advancing the science and observe of synthetic intelligence.”

Designed as an accelerator for researchers, the Slingshots program is supposed to offer sources that will be unavailable in most educational settings, whether or not it’s funding, compute energy, or product and engineering assist. In alternate, the recipients pledge to provide some ultimate work product, whether or not it’s a startup, an open supply codebase, or one other kind of artifact.

The preliminary cohort is 15 initiatives, with a selected concentrate on the troublesome drawback of AI analysis. A few of these initiatives might be acquainted to Trendster readers, together with the command-line coding benchmark Terminal Bench and the most recent model of the long-running ARC-AGI undertaking.

Others take a contemporary strategy to a long-established analysis drawback. System Code, constructed by researchers at Caltech and UT Austin, goals to provide an analysis of AI brokers’ capacity to optimize current code, whereas the Columbia-based BizBench proposes a complete benchmark for “white-collar AI brokers.” Different grants discover new buildings for reinforcement studying or mannequin compression.

SWE-Bench co-founder John Boda Yang can also be a part of the cohort, as chief of the brand new CodeClash undertaking. Impressed by the success of SWE-Bench, CodeClash will assess code by means of a dynamic competition-based framework, which Yang hopes will

“I do assume individuals persevering with to guage on core third-party benchmarks drives progress,” Yang informed Trendster. “I’m just a little bit nervous a few future the place benchmarks simply grow to be particular to firms.”