I can’t say for certain that this will be my last AI post for a bit, but last night just before bed Stella asked me to ask the AIs about boba tea. I decided to indulge her and was surprised to see that, after doing such a horrible job on summarizing the Percy Jackson book or Snow Crash, it did a great job with boba tea. Based on what I know the models got little-to-none of the answer wrong. ALSO, I actually got an answer from Qwen! Now, I don’t know how long it took because after it was running for an hour I had to go to bed myself and didn’t check the output until the next day, but not only did it get past its reasoning phase, but it gave an answer!

After spending 2 posts talking about how badly these local AI models are doing on my machine (here and here ), I did want to show a example of the model performing surprisingly well. Using qwen 3.5 I asked it to describe the following image:

Here is the description that qwen wrote after about a few minutes:

A few days ago I mentioned playing around with local AI models, despite having low strength hardware for the task. Yesterday I was trying our some new models - tinyllama and smollm2 - and I asked each model the same question to compare the answers. After doing this for a few questions, I had the same feeling I always have when I’m doing a repetitious task: computers would excel at this!

This pair of short stories by Dragonsteel employees Dan Wells (who is also an author in his own right) and Isaac Stewart (the illustrator of many Cosmere books and head of art at Dragonsteel) was originally created for the Sanderson convention. (Nexus? I think) The first story is about Jasnah and fills us in on what happened to her between when she was on the ship with Shallan and when we see her next in the main books. While it does have some character growth for Jasnah, it was not my favorite short story. A lot of action happens off screen (which is played for laughs), but almost achieves the platonic ideal of journey over destination. It’s so much about the journey that we mostly only see her while journeying after having done some cool stuff in some city (which we hear snippets of). It left me with the feeling of seeing a scene that was cut from a movie after which I would say, “Yeah…that didn’t need to be in the movie.”

I used to love the Pocast Go Time, especially when they would venture into general tech topics. A couple years ago, the podcast ended and some of the hosts formed a new podcast called Fallthrough. They have covered AI extensively over the past few months in a very logical, thought-out manner. These episodes have been transformative in my understanding of how those of us in the tech world should be thinking about AI. The hosts themselves have changed their opinion from completely dismissing AI in programming to using it extensively in their careers. Each host and/or guest on the show has been very thoughtful in the way they use the technology, recognizing its benefits and pitfalls. I highly recommend the episode with Bill Kennedy as one of the most influential episodes in changing how I understand how to use AI when programming. Combining what I’ve heard in those episodes with what I learned in a class I took on TalkPython Training, I’ve been trying to think through how I can make use of AI to make my life better - the same way I solve problems in my life through writing my own programs, bash scripts, etc. (This is not to ignore the issues with AI, including data center power/space/cooling/water issues, but there are many things I use in the world that have problematic issues - such as technology or clothing that is probably at least somewhere in the supply chain involving slave labor or other unsavory practices or environmental issues)

It’s pretty rare for me to find an anthology in which I love every story, but this one really hit it out of the park! Here are my per-story reviews:

Intro: Getting Martha Wells to write the intro is an amazing get! She also does a great job pointing out what we are saying about ourselves (humanity) with our AI/robot stories. (Mostly related to slavery) It reminds me A LOT about recent discourse about alien invasion narratives and what that says about collective guilt about colonialism. Brilliant intro and it resonates even more in 2026.