gpredict VS Node RED

I didn't watch the video but Gpredict has tracking and a map showing the orbit path and ground footprint for satellites you select.

I'm using sdrpp with Doppler correction with gPredict. I record the signal in sdrpp and then process it with noaa-apt.

look at the source of http://gpredict.oz9aec.net/

Your missing the point basically they mean upgrade your software to Gpredict satellite tracking software (GPL) which has Linux and Windoze versions. http://gpredict.oz9aec.net/   Gpredict uses hamlib to control both radios and mounts. Hamlib supports many radios and mount support includes Meade, Celestron and iOptron IEQ45 alt-az mounts via AUSCOM standard software. Once done the next part is ensuring you set up you com ports to appropriately control your devices radio and mount and making sure the appropriate devices are set-up in the software. Note if your com ports change say because you replug something, don't forget to update the port details otherwise coms will fail and the relevant device won't be usable. Check out the documentation and there are a number number of set-up videos on YouTube if needed.

LWN usually has great content but they've missed out on so much free ham software in this article that I use regularly.

My main HF rig is an older Yaesu FT-950. I tapped the IF and brought it out of the chassis where it is plugged into a cheap RTLSDR. I then access that RTLSDR (with free drivers) with GQRX (free software for visualizing anything compatible with SoapySDR or GNU radio), and the result is that I get a panadapter that is arguably better than what's available on $2000 radios. Short video here: https://photos.app.goo.gl/uP9zMMbiiiSmHYvM8

As for VHF/UHF stuff, I would be hopeless if it wasn't for GPredict on my laptop making it simple to track LEO satellites. https://github.com/csete/gpredict Short video here: https://photos.app.goo.gl/eg87BWpt2XnJdGFp7

I also run an APRS igate, which is powered by direwolf: https://sielicki.github.io/posts/radio-scanner-aprs-igate/ , https://github.com/wb2osz/direwolf

It hasn't been updated in a couple years now, but `gpredict` is a nice desktop program that will show projections of satellite orbits and predict upcoming passes.

https://github.com/csete/gpredict

GPredict

Good question.

I expect that we're moving into a phase of AIs talking to AIs, and initially it'll be wasteful (because it'll be mostly English), but eventually, they'll derive their own language and seamlessly upgrade protocols when they determine they're talking to an AI. No clue how that will come about or what that language will look like, but honestly, it's kind of exciting.

Really interesting to think about how they might handle context, as well. Even though we have much bigger context windows (and they'll only get larger), context management is still a resource-management issue, which we'll probably continue to refine, as well. Imagine different strategies for managing both what is brought into the context of each request, as well as what form it could take (level of detail, additional references or commentary on it, etc). Things could get really unreadable even in English, and still be very interpretable for an LLM.

W.r.t. the graph-oriented interfaces, are you thinking something like Node-RED [1]? I'm seeing more and more people mention having LLMs produce non-text or structured outputs, like JSON, UI, and other things. Easy to imagine an LLM that wires together various open-source platforms, on-demand. Something like Node-RED for pipelines/functions, some UI tools for visualization/interactivity, other platforms for messaging, etc...

[1] https://nodered.org/

I skipped to chapter 9 in the article ("Clogged"), and it looked like Pipes failed because it didn't have a large enough team or a well-defined mission. As a result they couldn't offer a super robust product that would lure in enterprise users. "You could not purchase some number of guaranteed-to-work Pipes calls per month" is the quote from the article.

The reason I think that interesting is because that's the model these days for everything from AI tokens to Monday.com seats. It makes me feel like Pipes was before its time.

That said I've been collecting different "business glue" products that are similar to Pipes. To me, like you say, they aren't as interesting, exciting and intuitive as Pipes was, but maybe it just takes a little more digging. I tried to focus on open source tools but some aren't.

- n8n io: https://n8n.io/integrations/mondaycom/

- Node-RED: https://nodered.org/ (just read about this one in this thread)

- trigger dev: trigger.dev

- automatisch.io: https://automatisch.io/docs/

- Activepieces: https://www.activepieces.com/docs/getting-started/introducti...

- Huginn: https://github.com/huginn/huginn

- budibase: https://budibase.com/

- windmill: https://www.windmill.dev/

- tooljet: https://www.tooljet.com/workflows

- Bracket: https://www.usebracket.com/pricing (just SalesForce <-> PostgreSQL)

- Zapier: zapier.com/

Anyway I hope some of these are fun!

Source: https://github.com/node-red/node-red

I believe Node-RED (https://nodered.org/) the way to go. It's just an NPM package to install and you can run it how ever you wish (even on Windows). It has a friendly and helpful community with even the main developers tirelessly answering even beginner level questions. In fact the community forum its THE friendliest forum I've ever been a member of by a large margin. Node-RED's development is supported by the JS Foundation and it's completely free and open source. It's widely used in the industrial automation industry and even integrated by some PLC manufacturers such as Siemens.

Does anyone know if their are plans to implement something like this (or if there are already custom nodes out there). I'd like to experiment with things like looping and incrementing values (like a for loop) for a Ksampler for example. It's only an example though, so I am not looking for a ksampler specific solution; just a generic way to have a variable (e.g. Seed value), run some nodes that use that value, increment the value, and then loop back to the beginning until some sort of condition is met. Node-Red (an event driven node based programming language) has this functionality so it could defintely work in a node based environment such as ComfyUI (see here).