Friday, December 12, 2025

12/12/25: LG defense (AI book project)

 Artificial Intelligence Study Group

Welcome! We meet from 4:00-4:45 p.m. Central Time on Fridays. Anyone can join. Feel free to attend any or all sessions, or ask to be removed from the invite list as we have no wish to send unneeded emails of which we all certainly get too many. 
Contacts: jdberleant@ualr.edu and mgmilanova@ualr.edu
Agenda, Minutes & Status (190th meeting, Dec. 12, 2025)

Agenda and Minutes
  • Announcements
    • Today. LG defense (book project). 
The meeting ends here. 
    • Hopefully later Dec. or Jan.:  DR part 2, to be scheduled. Website: www.dalerutherfordai.com
    • Read a couple paragraphs and decide if we should read it in detail: LLMs Are Randomized Algorithms (https://share.google/sLYorUX7Mz4KQBxxH)
    • Check a couple minutes of https://www.youtube.com/watch?v=RNF0FvRjGZk to see if we should view it in detail. 
  • Updates
    • LG. Book writing project update.
      • Need to submit a proposal document (it can focus on the current status of the project and what is left to do, and it can be mostly reusable in the final report).
      • Topic of book is: personal investing.
      • Committee: DB, MM, RS
      • Need to keep a log of activities and results, to become the final report. 
    • DD. Research
  • Other 
    • Possible activity: Invite paper authors to host a study session on the abstract and first several paragraphs of a paper they published or plan to submit.
    • Any questions you'd like to bring up for discussion, just let me know.
    • Anyone read an article recently they can tell us about next time?
    • Any other updates or announcements?
  • Readings/viewings for discussion. Here is the latest on future readings and viewings. Let me know of anything you'd like to have us evaluate for a fuller reading, viewing or discussion. 
    • Not evaluated yet
      • https://arxiv.org/abs/2511.21622 
      • Towards Monosemanticity: Decomposing Language Models With Dictionary Learning  (https://transformer-circuits.pub/2023/monosemantic-features/index.html); Bricken, T., et al., 2023. Transformer Circuits Thread.
      • Neural Networks, Deep Learning: The basics of neural networks, and the math behind how they learn, https://www.3blue1brown.com/topics/neural-networks. (We would need to pick a specific one later.)
        • We checked the first one briefly. 8/22/25: eval was 3.625 (from 4 people) for a full viewing.
        • Let's evaluate a few more of them.
      • LangChain free tutorial, https://www.youtube.com/@LangChain/videos. (The evaluation question is, do we investigate this any further?)
      • Chapter 6 recommends material by Andrej Karpathy, https://www.youtube.com/@AndrejKarpathy/videos for learning more. What is the evaluation question? "Someone should check into these and suggest something more specific"?
      • Chapter 6 recommends material by Chris Olah, https://www.youtube.com/results?search_query=chris+olah
      • Chapter 6 recommended https://www.youtube.com/c/VCubingX for relevant material, in particular https://www.youtube.com/watch?v=1il-s4mgNdI
      • Chapter 6 recommended Art of the Problem, in particular https://www.youtube.com/watch?v=OFS90-FX6pg
      • LLMs and the singularity: https://philpapers.org/go.pl?id=ISHLLM&u=https%3A%2F%2Fphilpapers.org%2Farchive%2FISHLLM.pdf (summarized at: https://poe.com/s/WuYyhuciNwlFuSR0SVEt). (Old eval from 6/7/24 was 4 3/7.)
    •  Evaluated
      • 7/25/25: eval was 4.5 (over 4 people). https://transformer-circuits.pub/2025/attribution-graphs/biology.html.
      • Evaluation was 4.4 (6 people) on 8/8/25: https://transformer-circuits.pub/2025/attribution-graphs/biology.html#dives-refusals
      • 8/22/25: eval. was 4.0 (4 people): Https://www.nobelprize.org/uploads/2024/10/popular-physicsprize2024-2.pdf. 
      • https://arxiv.org/pdf/2001.08361. 5/30/25: eval was 4.0. 7/25/25: vote was 2.5.
      • Evaluation was 3.87 on 8/8/25 (6 people voted): https://venturebeat.com/ai/anthropic-flips-the-script-on-ai-in-education-claude-learning-mode-makes-students-do-the-thinking
      • (Eval 8/29/25 was 3.75 over 5 people.) Https://docs.google.com/document/d/1NeNmKlAmJdf50ST7plw4mvgeeS7UJuYLyEQMz8slCA0/edit?tab=t.0#heading=h.hnzmulgvk3qx.  
      • We can evaluate https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10718663 for reading & discussion. 7/25/25: vote was 3.25 over 4 people.
  • Back burner "when possible" items:
    • SL: "I've been asked to lead the DCSTEM College AI Ad Hoc Committee. ... We’ll discuss AI’s role in our curriculum, how to integrate AI literacy into courses, and strategies for guiding students on responsible AI use."
    • Anyone read an article recently they can tell us about?
  • Here are projects that MS students can sign up for. If anyone has an idea for an MS project where the student reports to us for a few minutes each week for discussion and feedback - a student might potentially be recruited! Let me know.
    • JH suggests a project in which AI is used to help students adjust their resumes to match key terms in job descriptions, to help their resumes bubble to the top when the many resumes are screened early in the hiring process.
    • JC suggested: social media are using AI to decide what to present to us, the notorious "algorithms." Suggestion: a social media cockpit from which users can say what sorts of things they want. Screen scrape the user's feeds from social media outputs to find the right stuff. Project could be adapted to either tech-savvy CS or application-oriented IS or IQ students.
        





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