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Jack Ganssle - editor of The Embedded Muse has retired.


Can't believe that he kept going all these years since selling SoftAid. I have learned a ton from reading his books, articles back in the days of "Embedded Systems Programming" magazine, and the newsletter. I sent him an email earlier this year mentioning that he's the only person I've ever heard of triggering an EPIRB (https://en.wikipedia.org/wiki/Emergency_position-indicating_...) three times when not in an ocean race :-)

A retirement well earned!


I used to tell new engineers fresh out of school, "The hardest part of this job is thinking."


Yocto is overkill for a hobbyist. It's designed to help big companies build linux distributions for multiple platforms. It works great for companies like NXP that have the resources to devote to it, but it's a f&$cking bear to wrap your hands around if you just want to build linux for a single dev-board.

Buildroot is much smaller/simpler for hobbyists IMO.

NVidia's Jetson lineup is really a double edged (disingenuous IMO) sword. They provide some nice GPU/NPU power for AI stuff and a decent price and is great to play/learn with. However if you want to take a jetson to production you can't. They don't sell the bare SOC's and the modules have limits to how many you can buy. That jetson lineup is probably a 0.05% pimple on their balance sheet...


If you're looking to build a product using an embedded linux system you're better off just using an off the shelf SOM from an embedded board vendor like Toradex or Phytec (to name 2 - there are dozens out there). There are some quasi standards around compute modules now like SMARC and SODIMM where the vendors build little pcb's that contain the SOC, DRAM, PMIC and optional EMMC and WIFI. Then you just built a carrier board to breakout the IO like USB, UART, HDMI, MIPI DSI/CSI-2, etc.... The design/layout/validation of the SOC/PMIC/DRAM is the hardest part and unless you're shipping in volumes > 100ku annually you're probably better off outsourcing the SOM.

If you're just looking to learn then by all means give it a shot! Jay's article is a great primer in the basics but just know that all of those parts are pretty slow/old by today's standards. That article is 4 years old and even 4 years ago those parts were fairly slow/cheap/low-power/low-pincount relative to the SOT at the time.


The Toradex's, Phytec's, Boundary Devices, etc... of the world all do a decent job with their BSP's but just know that they pull from NXP's mainline BSP release so there is a lag in time from when NXP makes a new release. Sometimes they'll fork their own libraries which I've seen cause some problems with application level software from NXP.


I haven't been wowed by a demo like that in years. That was awesome!!!


MLCommons provides MLPerf which is a series of benchmarks anyone can run and compare results. For devices like the BeagleY-AI the "edge" category provides a series of various benchmarks to run covering things like object detection, speech recognition, and now smaller LLM's.

https://mlcommons.org/benchmarks/inference-edge/


Keep in mind that once you've prototyped a product on the BeagleY-AI board - you can actually BUY the TI AM62A74 chips in volume for ~ $25. Good luck sourcing the SoC on that Jetson Orin Nano board...


So maybe we should start with building a "pinball wizard". A "deaf, dumb, blind" system that plays by sense of touch - or in this case some accelerometers and pressure transducers? radically reduced bandwidth inputs...


If it's just bandwidth reduction you're after, Atari pixels?

Even for real world use — I found I could get a lot out of an even smaller resolution for an unrelated (non-AI) real-world task.


People are still USING MySpace?!?!


People stopped using it for regular stuff ages ago, when they migrated to Facebook. However, it became a haven for music lovers, with indie musicians and the like using it to communicate with their fans. They probably should have renamed it "MyMusic" or "MusicSpace" or something like that.


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