116 pointsby vismit20007 hours ago7 comments
  • aanet4 hours ago
    > AI Policy for the AI Course

    “ Students are permitted to use AI assistants for all homework and programming assignments (especially as a reference for understanding any topics that seem confusing), but we strongly encourage you to complete your final submitted version of your assignment without AI. You cannot use any such assistants, or any external materials, during in-class evaluations (both the homework quizzes and the midterms and final).

    The rationale behind this policy is a simple one: AI can be extremely helpful as a learning tool (and to be clear, as an actual implementation tool), but over-reliance on these systems can currently be a detriment to learning in many cases. You absolutely need to learn how to code and do other tasks using AI tools, but turning in AI-generated solutions for the relatively short assignments we give you can (at least in our current experience) ultimately lead to substantially less understanding of the material. The choice is yours on assignments, but we believe that you will ultimately perform much better on the in-class quizzes and exams if you do work through your final submitted homework solutions yourself.”

    • piker2 hours ago
      My money is on extraordinarily poor final exam results and/or cheating.
      • khannn33 minutes ago
        In my day professors said that you'd never have an AI in your pocket
        • piker2 minutes ago
          True. Why even bother with school anyway?
    • linhns2 hours ago
      This is the way it should be. AI to speed up the understanding process, and one final evaluation without any help to cement the understanding.
      • topherhunt16 minutes ago
        I don't think the final evaluation is to "cement the understanding" so much as _verify_ that students have taken accountability for their own learning process.
      • 2 hours ago
        undefined
  • frankdenbow7 minutes ago
    thanks for sharing, these look great.
  • sim04ful5 hours ago
    Nothing on symbolic reasoning ?
    • cultofmetatron4 hours ago
      I believe that would be part of whats now "classical ai"
      • cubefoxa minute ago
        It's called GOFAI, or not AI at all. It's basically all machine learning nowadays.
    • chvid3 hours ago
      No. That will be covered by the Post-modern AI course in the fall semester.
    • xdavidliu3 hours ago
      that would be the exact opposite of modern
  • gabrieledarrigo4 hours ago
    Do you think this is a good course? Or, what do you suggest as a structured course to learn how LLMs work?
  • mold_aid2 hours ago
    Can't wait for postmodern AI.
    • blackoil9 minutes ago
      How to flip burgers better than an AI robot!
  • aboardRat44 hours ago
    Nice to finally see the revival of Lisp and Prolog.
    • signa1134 minutes ago
      prolog in another skin is called erlang you know.
  • emil-lp6 hours ago
    [flagged]
    • small_model6 hours ago
      Well it's the dominant and most successful implemented AI, would a comp sci course teach every failed computer architecture or focus on the ones that are in wide use today.
      • gield2 hours ago
        Your analogy to computer architectures doesn't make sense, unless comparing GPT-like LLMs to different LLM architectures like Mamba or RWKV. It indeed wouldn't make sense to not teach about Mamba or RWKV in an introductory AI or LLM course.

        AI is much broader than LLMs alone. Computer vision, RL, classical ML, recommender systems, speech recognition, ... are still part of AI, just not very visible to the average consumer.

      • utopiahan hour ago
        > most successful implemented AI

        According to what? Spent money? Number of users? Outcomes and if so which ones?

        • boredemployee34 minutes ago
          probably according to marketing and not limited to hallucination
      • suddenlybananas5 hours ago
        I think comp sci courses focuse on fundamentals rather than what's popular. Besides, other kinds of AI are not "failures", they have plenty of uses.
    • smokel5 hours ago
      Don't trip over words. The course offers quite a range of knowledge that is suitable outside LLMs. It's an introduction.
    • axseem6 hours ago
      It really depends on the target audience, because a lot of people have no idea what they are using is called an LLM or that there are various types of generative AI.
      • gignico6 hours ago
        I think the problem is the under representation of other branches of AI research: knowledge representation, automated reasoning, planning, etc.

        These are important topics with important industrial applications which have the only downsides to not be suitable for implementing friendly chatbots and for raising the stocks of Silicon Valley companies.

        • Kaethar4 hours ago
          I doubt renowned US universities don't offer courses that cover those topics.

          As someone who studied in a university system where the courses you had to take were mostly set in stone (just starting to offer some electives now), I really fancy the option of being able to choose what you study as much as possible.

          The AI course I took was mostly symbolic methods and some classic ML at the end. Most students were not interested at all and would've probably been more engaged studying ML directly. Too bad that wasn't an option.

    • jccx705 hours ago
      [dead]