CUNY AI Lab

@cunyailab.bsky.social

AI infrastructure for CUNY, by CUNY. We prioritize privacy, transparency, and thoughtful integration of AI into academic work. ailab.gc.cuny.edu

New on the CUNY AI Lab blog: we run nearly all of our tools on open-weight models. Here’s why. (Spoiler alert: they are more transparent, cost a fraction of the proprietary flagship models, and have all but closed the capability gap.) ailab.gc.cuny.edu/blog/running...

Running the CUNY AI Lab on Open Weights - CUNY AI Lab

Why the CUNY AI Lab runs nearly all of its tools on open-weight models — what open weights are, what frontier models cost to run, and how open models have closed the capability gap.

ailab.gc.cuny.edu

We’re glad to share the CUNY Graduate Center AI Guidelines, co-drafted by three of the CUNY AI Lab’s co-founders. The guidelines are meant to support thoughtful, transparent, and critically engaged uses of AI in teaching, research, and administrative work across the GC community.

Matt Gold@mkgold.bsky.social · last mo.

I’m excited to shared draft AI Guidelines for the CUNY Graduate Center community @thegraduatecenter.bsky.social Importantly, they embed a right of refusal for faculty, staff, and students where reasonable alternatives exist.

New on the CUNY AI Lab blog: CAIL Fellow Nicole Walker writes about building ThinkWith, a tool developed through our vibe-coding workshop series to help composition students make stronger connections between texts and cultural artifacts. ailab.gc.cuny.edu/blog/thinkwi...

The ThinkWith Tool for the Composition Classroom - CUNY AI Lab

A CAIL workshop participant vibe-codes a tool that gives composition students real-time feedback on whether their paragraphs genuinely 'think with' a text — and reflects on what that means for the val...

ailab.gc.cuny.edu