Prager_U

I love cars way more than the next guy, but the meme clearly says "urban transportation".

Morpheus drinkin a forty in the death basket.

You're correct to identify that your position is inconsistent - (A) not wanting the innocent to be wrongly executed and (B) wanting the option to enact retributive punishment against certain offenders.

Let's analyze these two imperatives:

The benefits of (A) are quite self evident. It's bad to execute people for no reason. It's maybe the most brutal and terrifying thing the state can do to a person. And where there exists capital punishment, it happens with non-zero probability.

The benefits of (B) are that you get a nice bellyfeel that you've set the universe into karmic alignment. Since there's no evidence that capital punishment has a deterrent effect on crime (this can be proven by comparison of statistics between states/countries with capital punishment and without), this is really the ONLY benefit of position (B).

So if you want to prioritize what's best overall for reducing harm in society, then select (A). If you enjoy appointing yourself the moral arbiter of karma by enforcing who "deserves" to live and die (and killing some innocent people is a price worth paying), then select (B).

Simples!

This is orthogonal to the topic at hand. How does the chemistry of biological synapses alone result in a different type of learned model that therefore requires different types of legal treatment?

The overarching (and relevant) similarity between biological and artificial nets is the concept of connectionist distributed representations, and the projection of data onto lower dimensional manifolds. Whether the network achieves its final connectome through backpropagation or a more biologically plausible method is beside the point.

BRRRRR skibidi bop bop bop yes yes

BRRRR skibidi bop bop bop yes yes

You might want to configure it from scratch, with exactly the tools and utilities you want (e.g. networking utility, desktop environment). Or you might just find this process fun and interesting. Some people take issue with how Canonical is run, and decisions they make.

That is a used method for training other LLMs, I believe OpenAssistant did this.

Money ain't got no owners. Only spenders.

I'm 2 and I use a smartphone that only executes Fortran through punch cards.

There actually exists an open source community for reverse-engineering EV motors, inverters, battery charging modules, BMS, and everything else necessary to build a DIY car from scrapyard components: https://openinverter.org/wiki/Main_Page

What's that thing on the left? Looks like it'd be good deep fried, with some sriracha mayo.