Tomorrow
Academia

Princeton, New Jersey

Princeton University

Princeton is the field's fact-checker: rigorous work on what AI systems can and cannot do, and on the evaluations that mislead.

AIPolicyOfficial site
4 key findings1 timeline milestones2 sources to follow

Key findings

  1. 2014

    GloVe embeddings

    Pennington, Socher, Manning

    Global co-occurrence factorisation producing word vectors with linear analogy structure.

    Why it matters here · The retrieval and embedding products in the catalog are the industrial descendants of this line.

  2. 2023

    SWE-bench

    Carlos Jimenez, Ofir Press, Karthik Narasimhan et al.

    2,294 real GitHub issues from twelve Python repos; a model must produce a patch that passes the project's own tests.

    Why it matters here · The benchmark every coding agent in this catalog now quotes. When a vendor claims an agent 'resolves issues autonomously', this is the number to ask for.

    2,294 real-world issues
  3. 2024

    AI Snake Oil

    Arvind Narayanan and Sayash Kapoor

    Separated genuinely capable generative systems from predictive-AI products that cannot work, and documented widespread evaluation leakage.

    Why it matters here · Why claims in this tracker carry a confidence level and a source rather than being restated as fact.

  4. 2024

    AI agents that matter

    Kapoor, Stroebl, Narayanan et al.

    Showed agent leaderboards ignore cost, so trivially expensive baselines can top them; proposed joint accuracy-cost evaluation.

    Why it matters here · The reason we pair capability with entry price everywhere in the catalog instead of ranking on capability alone.

On the history timeline

Milestones on the 1943 → today timeline credited to this institution.

  • 2009ImageNet — 14 million labelled imagesFei-Fei Li, Jia Deng et al.Deep learning boom

What to follow

Center for Information Technology Policy (CITP)

Program · Continuous

Technology policy research including the AI Snake Oil line of work.

Princeton Language and Intelligence

Research lab · Continuous

Open large-model research, agent benchmarks and evaluation science.

How to cite this page

Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/academia/princeton

APA
Tomorrow. (2026). Princeton University — key findings and research feeds [Research tracker entry]. AlienSquad. Retrieved 2026-09-17, from https://tomorrow.aliensquad.ai/academia/princeton
BibTeX
@misc{tomorrow-academia-princeton,
  author       = {{Tomorrow}},
  title        = {Princeton University — key findings and research feeds},
  year         = {2026},
  publisher    = {AlienSquad},
  howpublished = {\url{https://tomorrow.aliensquad.ai/academia/princeton}},
  note         = {Accessed: 2026-09-17}
}