I’d just finished a morning round of tinkering with the ham radio Extra Class tutor when the question hit me: how do I actually get the entire exam question pool into GPT without burning through tokens every time? With GPT Projects, I can just drop in a file and it remembers. But on the API side, things always felt a little more ephemeral — every call a blank slate. So I sat down with GPT-5 to dig into whether there’s a smarter, more cost-effective way. What followed was one of those back-and-forths where the clouds part: GPT Projects’ quiet little “remembered files” have a direct analogue in the API world — vector stores — and they might just be the key to making this whole tutor run leaner and meaner. Me: In GPT projects, I can upload files that the project remembers. Is there a way to do the same thing with the API? GPT-5: Great question. With the raw chat/completions endpoint, no — it’s stateless. You’d have to re-inject your files each time. But the newer OpenAI Respo...
Just a brief description of how I capture audio recordings during Project TouCans outings. First, where's the audio coming from? Project TouCans of course. It's frequently in the air, embedded in its dipole antenna, so about a year and a half ago, we started piping audio to the round via Bluetooth. Specifically, the audio out from the RockMite feeds this Bluetooth transceiver, a 1Mii Bluetooth 5.3 Transmitter Receiver for TV to Wireless Headphones For the recording/receiving rig, I use a different Bluetooh reciver, an Alura . It's the only Bluetooth receiver I could find that would receive the 1Mii. From there, I use a stereo connector splitter. One side goes to my Sony voice recorder microphone input. The recorder is fine with the fact that I don't have an attenuater in the line. The other side of the splitter feeds my Bose Ultra QC noise cancelling headphones. Do be honest, I have those for work, not for palling radios. The whole system, over time, has ...