Week 1-2

Week 1-2

Syllabus AMA - Warm-Up

Chat with the people around you!

What struck you as interesting or unusual about the Syllabus?
What questions do you have for about it?

Ask me anything!

Concerning Course Outcomes Alphabet 101

Course Outcomes

Students will be able to write all the letters of the alphabet.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z


    20

    ÷ 26 Letters

    ------------

    77% C+

Please help, my grandmother is on fire!

Course Outcomes

Students will be able to write all the letters of the alphabet.

Let's brainstorm about AI.

As a student I think AI can be helpful for the use of grammar checks and for the expansion of one's vocabulary.

what students should do instead is use it to get ideas from AI. This can be articles, stories, magazines, & etc. That AI provides to the student based on what they are trying to write about.

Research conducted by OpenAI found that its latest and most powerful reasoning models, o3 and o4-mini, hallucinated 33% and 48% of the time, respectively, when tested by OpenAI's PersonQA benchmark.

Moore-Colyer, 21 June 2025

On one test, the hallucination rates of newer A.I. systems were as high as 79 percent.

Metz and Weise, 6 May 2025

[W]e further conclude that it is impossible to eliminate hallucination in the real world LLMs. [...] We emphasize that since hallucination is inevitable, rigorous study of the safety of LLMs is critical and urgent.

Xu et al., 13 Feb. 2025

Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs.