3)Any alternative explanation would need to be much more complicated (since it would need to explain why sth looks like it's the case although it isn't)
4)Therefore any alternative explanation would need to be justified, bc we (Mīmāṃsakas) don't accept complicated solutions unless they're needed
2/

Done. Really annoying that #Gmail does not allow one to keep basic settings unless one also accepts AI. Basically bullying everyone into accepting AI.

At UofT_Religion, you will be expected to have a developed research project. At UofT_Philosophy, this is not expected, because students will have to take one-two years coursework before settling for a specific topic.
16/

The problem is: Students don't know what they don't know! And AI pollutes the wells, so that they would go to an AI-source to check!

2/2

Sounds interesting! What are the merits of distraction you discussed about?

Institute of Virology

It's surprising how much of the old Toronto was really pretty and is now being destroyed (why not destroying other history-less buildings first?)

Signed. Plus, let's stop collaborating for free with publishing houses that then feed our work and our colleagues' work to LLMs

elisafreschi.com/2025/11/08/o...

Meanwhile, there is still no automatic system to debug my LaTeX files, but I can do it while an AI watches movies for me, composes music for me, writes poems for me…

Happy birthday! May the next 38 years bring you more research and satisfaction in it

LLMs give people with delusional belief systems a way to organise those beliefs. The model fills in gaps, supplies connective tissue, and wraps the madness in formal language.
It doesn't make the claims more credible to us, it just tidies them up.

if you decide to apply for the Religion PhD program, you need a research project and ideally 1—2 supervisors (check the website and mention the ones you could be working with, even better if you are already in touch with them).
15/

Relevant paper: the more people understand AI, the less they want to use it.

journals.sagepub.com/doi/10.1177/...

The authors' conclusion: don't explain your AI tech too much to your customers.