Copasetic Flow

 After gaining access to OpenAI’s new Sora-2 video API , I rebuilt my entire B-roll workflow for The Gladych Files channel — automating prompt generation, stitching clips together, and producing cinematic sequences in minutes. In this post, I walk through the full pipeline, share lessons learned, and offer tips for anyone curious about AI-assisted video creation.

  Just a quick note that the AI tutored Project TouCans exams are up and running for the latest US technician class question pool for the license exam.  The exam sprang out of two different projects here at the home QTH. KO6BTY is studying for her extra class license. Also, I'm learning about developing code with AI. And voila: AI tutored ham radio practice exams. Try the AI-tutored Technician Class practice exam now. Project TouCans technician class practice exams . Read more about this project: First  demo  of OpenAI ChatKit enabled exams First release of extra class exam based on OpenAI responses API Removing the vector store  to reduce costs Experiences with Vector Stores Early debug to add contexts by local compute and storage First release of extra class exam  with no AI

The humble SA612 mixer chip , long a cornerstone of QRP and RockMite transceiver designs, has officially gone end-of-life. Announced by Bill Meara on Soldersmoke, the news marks the close of an era in home-built HF radios. KO6BTY and I have relied on this little chip throughout Project TouCans, and while it’s never failed us in the field, its retirement feels like losing a trusted bandmate. 

 I’ve just launched the new Extra Class Practice Exam site, and it’s officially the first app running on the new Project TouCans platform! The exams follow the same familiar format as the ones here on the blog — but with a major upgrade. Now, when you’re stuck on a question, you can click “AI Help” to start a ChatGPT-powered tutoring session for that specific problem. You can try the exams here: 👉 https://projecttoucans.com/

 At the moment, I have the experimental, Open AI ChatKit enabled ham radio practice exams flying blind: I'm not passing the figures for exam questions into the AI when the student asks a question. This has led to a really cool thing! The AI is asking students to tell them what they see.  The question: includes a schematic of a linear voltage regulator. Here's the thing though, the AI system doesn't know that, it's just passed the question along with the correct answer at this point in development.  See that question at the bottom? "Now, could you describe or summarize what components or features you see in Figure E7-2?" That's super-cool, I think. The LLM asked because it does not have the picture availble to it. I responded  that I sawa Zener diode attached to the gate of a transistor, and it was off and running explaining to me how linear voltage regulators function and what the zener diode was for. What About Usage Costs? So far, I've taken three ...

Ever tune across the HF bands and wonder just how many Morse code operators are on the air at that moment? Thanks to WW5TH’s ingenious setup that reads directly from the Reverse Beacon Network (RBN), you can see it in near real time. The RBN ’s worldwide network of “skimmers” automatically decodes CW signals, giving a fascinating snapshot of CW activity across the globe.  Pat wrote the code up here and you can find the latest data here . Here's an example from this morning. This quick visualization from W5WTH shows how data from the Reverse Beacon Network can reveal real-time CW activity. It’s a great way to see where the bands are hopping and how propagation changes minute by minute. Check out Pat’s GitHub for code details, and watch the data to spot when Morse action is hopping. Want to dive deeper? Try building your own CW dashboard from RBN data using Chat GPT , or explore similar projects in ReverseBeacon.net and Parks on the Air to see who...