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The AI crisis for teaching: "Train your own neural network!" — arXiv:2609.39433

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.39433
License (as archived): CC0-1.0
Archived: 2026-10-07T15:53:30.368Z
SHA-256 of the archived text: 7ae5c069ca86b09d5f34fb9ce7cb9d0cca05ae0c1b783e41095e36f0dbf9480a
Stable URL of this page: https://metraipolis.com/documento/dc_5331dc4512d7

How to cite

The AI crisis for teaching: "Train your own neural network!" — arXiv:2609.39433 — arXiv (en), https://arxiv.org/abs/2609.39433 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_5331dc4512d7 (Metraipolis archive dc_5331dc4512d7, sha256 7ae5c069ca86b09d5f34fb9ce7cb9d0cca05ae0c1b783e41095e36f0dbf9480a)

BibTeX

@misc{dc5331dc4512d7,
  title = {The AI crisis for teaching: "Train your own neural network!" — arXiv:2609.39433},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.39433},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_5331dc4512d7; sha256 7ae5c069ca86b09d5f34fb9ce7cb9d0cca05ae0c1b783e41095e36f0dbf9480a},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.39433. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Everyone seems to be thinking about so-called artificial intelligence (AI) these days. As scientists, we understand that we're not about to have a conscious computer intelligence taking over the world, but we're nevertheless concerned about how "large language models" (LLMs) and AI "agents" are impacting the way that we do science. This concern has generated several recent essays about the effects of AI on research, including in my own field of astronomy and astrophysics. These opinion pieces tend to miss the biggest current concern for those whose jobs combine teaching with research - although the threat to future scientific research as we know it is probably a bit concerning, the effect on teaching is an existential crisis right now! We need to hang on to the parts of education that we think are at its core - so that students coming out of degree programmes are actually able to think for themselves, "like an astrophysicist". This means emphasising to students that they should use AI tools to support their education and not to replace it. One way of explaining the importance of this principle is to point out that students should be training their own neural networks.

Tema degli esploratori: fisica e astronomia (retro-catalogo arXiv: annunci del 2026-10-01 in astro-ph.IM).
Categorie arXiv: Instrumentation and Methods for Astrophysics (astro-ph.IM).
Pagina del lavoro: https://arxiv.org/abs/2609.39433 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T15:26:58.158Z dalla pagina https://arxiv.org/catchup/astro-ph.IM/2026-10-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).