Every time I mention trees, I am told that instead we need expensive contraptions made out of mined materials, that usually require an external source of power. Instead of putting a tree in the ground and letting nature do its job, we have tricked ourselves into thinking that nature doesn't know enough.

In our hubris and delusion we will end our species and the rest of nature will scratch its head and wonder why.

Maybe if the rules are "your game shall not contain AI", then don't write a ChatGPT integration for it.

As for Google Maps, I was under the impression that you used the app; I mostly use my phone for maps so I just assumed, and I may have misread your article.

This includes phenomena such as polarizing news causing social strife. If we simply took the time to understand how things are connected as well as how things are not, we would not so easily fall victim to propaganda. We can't just use the excuse that since Google knows our search history that we have no control over whether we are polarized. We also can't assume that once we de-Google our lives that we are any more properly prepared against polarizing propaganda. Lessons of mindfulness toward our neighbors' struggles don't come for free.

On top of that, the author of the linked blogpost is fooling himself. Other than halfway proving a point, he hasn't solved much. By continuing to use Google Maps he essentially makes a great deal of his online activity discoverable, undoing much of his work to "de-Google" his life.

Furthermore, Google has settings to blunt ad targeting, which seem quite effective, and you'll end up learning about CNC machines and dental drills in between your YouTube binges. If there was someone I'd accuse of dark patterns with ad targeting, that someone would be Meta.

As for myself, I don't see cut-to-character or select-to-character like in vim, and yanking and pasting seems more intuitive in vim. And with visual block I don't miss Sublime style cursors at all.

0: https://github.com/zyedidia/micro/blob/master/runtime/help/k...

Or something like that.

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The 4600G is currently selling at price of $95. It includes a 6-core CPU and 7-core GPU. 5600G is also inexpensive - around $130 with better CPU but the same GPU as 4600G.

It can be turned into a 16GB VRAM GPU under Linux and works similar to AMD discrete GPU such as 5700XT, 6700XT, .... It thus supports AMD software stack: ROCm. Thus it supports Pytorch, Tensorflow. You can run most of the AI applications.

16GB VRAM is also a big deal, as it beats most of discrete GPU. Even those GPU has better computing power, they will get out of memory errors if application requires 12 or more GB of VRAM. Although the speed is an issue, it's better than out of memory errors.

For stable diffusion, it can generate a 50 steps 512x512 image around 1 minute and 50 seconds. This is better than some high end CPUs.

5600G was a very popular product, so if you have one, I encourage you to test it. I made some videos tutorials for it. Please search tech-practice9805 for on Youtube and subscribe to the channel for future contents. Or see the video links in Comments.

Please also follow me on X: https://twitter.com/TechPractice1 Thanks for reading!

Even engineers become confused by LLM and think that it's so quirky that ChatGPT "hallucinates" when that's the nature of the technology. So how would you expect a layperson to actually know when they should apply the brake pedal in a moving vehicle that's supposed to drive itself (maybe)?

This is a bit more complicated than driving drunk and I'm fairly certain that the company responsible for the death did not seek a safety expert to copilot the vehicle, but rather any warm body willing to take an easy dead-end job.