Ilma is a Navtex decoder for the Raspberry Pi that just got weather fax (WEFAX) capabilities. I’m a sailor and I built a headless receiver for the Raspberry Pi & SDR-RTL v4 dongle.
The tempo of AI development is overwhelming. Within one generation, coding/IT has gone from the most promising career for the young to profound insecurity about the future.
That's true! Even faster, for exemple for young people who started university in September 2022 thinking computer sciences is one of the most promising for job opportunities: they started before ChatGPT was released, and now they haven't yet finished their masters degrees.
I use a self-developed plain text editor for writing and my one-click GitHub sync menu bar app to deploy Astro blogs.
The irony of the GitHub sync app is that I do no longer have a working GitHub account...
I built this on a Pi Zero 2 W because of its low energy consumption when it's running continuously on a boat. Navtex is a 1970s radio technique that delivers navigational and meteorological info and has forward error correction built in. For the characters that still slip through, I added a small n-gram model. An LLM wouldn't fit on the Pi.
I also work on an RTTY mode that hasn't got any built-in error correction. Does anyone have ideas for correcting characters dropped during radio transmission?
Storage is the hard part of renewable energy. In this article, the researches used a molecule that captures sunlight and locks it into a strained, high-energy shape. It can hold that energy for months to years and then release it as heat on demand. The release of that energy makes water boil in about one second. Energy density is 1.65 MJ/kg, beating lithium-ion (~0.9 MJ/kg).
The interesting background is the inspiration of the method by the shape-shift DNA undergoes when UV light damages it. It's the chemistry of sunburn.
> Energy density is 1.65 MJ/kg, beating lithium-ion (~0.9 MJ/kg)
Lithium-ion produce electricity, that can be used by a heat pump to get a greater than 100% efficiency measured in heat/electricity. Heat pumps have like 300% of efficiency, sometimes more, but let's assume only a 200%. In that cases
Efficiency claim: 70% less token usage, 3x faster task completion in internal testing. Even if that's marketing-inflated, the structured CLI commands replace a lot of trial-and-error. Gonna try it.
There was a recent research article titled "LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users". They described systematic underperformance of AI models targeted towards users with lower English proficiency, less education, and from non-US origins. As interesting it might be to experiment with an AI CEO hiring people – what a dystopian vision.
On the other hand, it seems ironic that AI replaces a CEO – would Karl Marx like this turn of history…?
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