My partner is non-binary, so this search wouldn’t work on them.

Short

Everyone has to start somewhere. This is a pretty cool proof of concept.

That sounds like a free energy device, which is not possible.

Hydrogen has a round trip efficiency of 30% when used in a fuel cell, and closer to 10% when burned in a combustion engine. The energy taken from the alternator will always be much more than the extra energy provided by burning the hydrogen.

Many people have made wild claims about fuel efficiency or free energy devices. If they were true, it would be easy for anyone to replicate the results.

That is also assuming the lights are not recessed into the ceiling.

And the even more egregious assumption that you could even reach the lightbulb.

Does the entire planet have winter at the same time now?

Outsource the uprising

Maybe it’s just the nostalgia talking, but I think XP would be an even better upgrade.

LLMs are great at language. I often use them to generate syntax for a language I don’t know and probably won’t use again. While the short snippets may not do exactly what I want, I can edit a snippet fairly easily. Writing one with no knowledge of the language would take me far longer.

Just remember that being good at language is not the same as intelligence. LLMs are good at mimicking thought, but they cannot problem solve or optimise. You still have to do that bit.

To set up local and external network access:

Go to settings -> companion app (or just settings if you don’t have an admin account)

Select your server

And enter the external IP (or duckdns url) in the URL section, the network(s) where home assistant is locally accessible in the “Home network” section, and the local IP in the internal URL section.

I’m still working on making external access to my home assistant secure, so I don’t have enough experience to make suggestions there.

I have a 2012 Nissan Leaf in Australia. It uses the 2G network for all telemetry. Australia just turned off the 3G network.

I think its pretty safe to say the telemetry does not work anymore.

My 2012 Nissan Leaf is still doing fine.

Maybe it’s not an issue with EVs, but with overbearing automakers.

Specs

It doesn’t look like it. They had to make compromises on what to include, otherwise they’d end up with smartwatch that’s larger than a phone.

With it being 100% open source, it should be easy* for someone to add these features.

The founder explains in this blog post about the original failure of pebble, and why pebble shouldn’t have focused on fitness.

They’re coming back as a tool/toy for the enthusiasts who want to tinker.

I once designed a first prototype, and it worked so well I didn’t need the other 3 iterations I was planning.

It was a few years ago, but I’ll never forget (and probably never manage that again).

Kernel level anticheat still can’t detect all possible cheats, like Neuromuscular Aim Assist.

May I recommend Japanese numbers, but ordered alphabetically by romaji?

I often use LLMs to give me code snippets in a language I don’t know.

When I started programming (back in the dark days when StackOverflow was helpful), it took me months to learn a language well enough to do what I wanted, and I had several weeks where I would be frustrated that I just couldn’t find what I was doing wrong, or what was the name for what I wanted so I could search for it.

AI has allowed me to drastically speed up my learning time for new languages, at the expense of me not really understanding much. I’ll accept that compromise if I just want one script, but it’s a hard habbit to drop when actual understanding is needed.

Aside from telling me what language features exist, or showing me the correct syntax (exactly what a language model is designed for), I have found AI is mostly just confidently wrong.

One of the main problems I found was that AI would sometimes write code that looked good, was well documented and even worked flawlessly. But it would take 15-20 complicated lines to perform a task that happened to be a language feature and could have been done with a single function call.

Other times it would write code that appeared to work at first glance, and after a reasonable inspection also seemed good. Only after trying to re-write that task myself did I realize the AI had missed a critical but subtle edge case. I wouldn’t have even thought to test for that edge case if I hadn’t tried to design the function myself.

I’ve also heard someone else mention that AI will often rewrite code (often with subtle differences) instead of writing a function once and calling it several times. The AI code may look clean, but it’s not nearly as maintainable as well written code by humans.
I do have to admit that it is significantly better than poorly written code by overworked and underpaid humans.

All of this is ignoring the many times the code just didn’t compile, or had basic logic errors that were easy to find, but very difficult to get the AI to fix. It was often quicker to write everything myself than try to fix AI code.

I’m still disappointed that tags are absent from the mobile app.