Racist or Just Biased? It’s Complicated.
Note: This is a continuation of the shared blogging of Warr, Mishra, and Oster. In this post, Melissa wrote the […]
Cats on the Moon: How OpenAI, Google, Meta & Microsoft are Dealing with Hallucinations
Note: Warr, Oster, and Mishra are at it again with a shared blog post. First (really terrible) draft by Punya,
GenAI is Racist. Period.
Note 1: We have written a follow-up post that delves deeper into the “racist” vs “biased” responses- Racist or Just
Should LLMs Have “More Complex Predictive Capabilities”? 🤔Implications for Personalized Learning
Today ChatGPT4o (the o stands for “omni” apparently 🤷🏼♀️) was helping me summarize some research I was working on. I
ChatGPT Doesn’t Have a User’s Manual. Let’s Not Create One.
Note: This is the next post in the shared blogging experiment with Punya Mishra and Nicole Oster. This time we
Not for the Truth of the Matter
Note: Featured image made with Adobe Firefly 3. I’ve written a fair number of posts lately where I’ve explored my
Learning with ChatGPT
*Cover image of me learning with a computer in a fairy tale created (obviously) with AI…Adobe Firefly, to be exact.
Metaphors, Minds, Technology & Learning
Note: The shared blogging experiment with Punya Mishra and Nicole Oster continues. This time we delve into metaphors of the mind, technology
Why are we surprised?
Note: This is the first post in an experiment at shared blogging by Punya Mishra, Nicole Oster and myself. Over the past
The Battle of LLMs and ELLs
An important feature of a learning machine is that its teacher will often be very largely ignorant of quite what