hay, grass or silage

All of the above, as well as other feeds such as corn. That percentage includes pastures and growing crops for feed. Here’s a pretty good breakdown.

Interestingly enough, if someone doesn’t care at all about veganism but wants to reduce agricultural land use, removing beef, lamb and dairy from their diet would be enough to get there (while continuing to eat chicken, fish, etc).

sweeping, emotional appeals

I don’t think my comment was very emotionally charged.

Surely, there are stronger arguments against eating meat than that

The power of an argument is determined by the reader. There’s compelling reasons in terms of zoonotic diseases and rampant antibiotic use, there’s other reasons from a moral point of view, there’s others in terms of environment (like this argument), there’s others in terms of human health, etc. Which one is convincing to which person depends entirely on what that person cares about.

Over 70% of farmland worldwide is used to make animal feed for the ranching industry, so if you’re not eating meat you’re already doing your bit to reduce the environmental impact of agriculture.

to have this relationship between A and B you have to make a third database

Probably just a mistake here, but you make a third table, not a new database.

Apart from that (and the fact that one to many and many to one is the same thing), yeah, looks correct.

Even the question of “who” is a fascinating deep dive in and of itself. Consciousness as an emergent property implies that your gut microbiome is part of the “who” doing the thinking in the first place :))

So, first of all, thank you for the cogent attempt at responding. We may disagree, but I sincerely respect the effort you put into the comment.

The specific part that I thought seemed like a pretty big claim was that human brains are “simply” more complex neural networks and that the outputs are based strictly on training data.

Is it not well established that animals learn and use reward circuitry like the role of dopamine in neuromodulation?

While true, this is way too reductive to be a one to one comparison with LLMs. Humans have genetic instinct and body-mind connection that isn’t cleanly mappable onto a neural network. For example, biologists are only just now scraping the surface of the link between the brain and the gut microbiome, which plays a much larger role on cognition than previously thought.

Another example where the brain = neural network model breaks down is the fact that the two hemispheres are much more separated than previously thought. So much so that some neuroscientists are saying that each person has, in effect, 2 different brains with 2 different personalities that communicate via the corpus callosum.

There’s many more examples I could bring up, but my core point is that the analogy of neural network = brain is just that, a simplistic analogy, on the same level as thinking about gravity only as “the force that pushes you downwards”.

To say that we fully understand the brain, to the point where we can even make a model of a mosquito’s brain (220,000 neurons), I think is mistaken. I’m not saying we’ll never understand the brain enough to attempt such a thing, I’m just saying that drawing a casual equivalence between mammalian brains and neural networks is woefully inadequate.

That’s a strong claim. Got an academic paper to back that up?

This is why I strictly refer to these things as LLMs. That’s what they are.

I’m happy with the Oxford definition: “the ability to acquire and apply knowledge and skills”.

LLMs don’t have knowledge as they don’t actually understand anything. They are algorithmic response generators that apply scores to tokens, and spit out the highest scoring token considering all previous tokens.

If asked to answer 10*5, they can’t reason through the math. They can only recognize 10, * and 5 as tokens in the training data that is usually followed by the 50 token. Thus, 50 is the highest scoring token, and is the answer it will choose. Things get more interesting when you ask questions that aren’t in the training data. If it has nothing more direct to copy from, it will regurgitate a sequence of tokens that sounds as close as possible to something in the training data: thus a hallucination.

Honest question: isn’t OSx considered the OS of choice for video and music editing?

Linux from Scratch and Gentoo are also pathways to abilities some would call… unnatural

Ah, I misunderstood then, sorry. But still, even with all the investment in the world, LLM is a bubble waiting to burst. I have a hunch we will see truly world-altering technology in the next ~20 years (the kind that’d put huge swathes of people out of work, as you describe), but this ain’t it.

There’s an upper ceiling on capability though, and we’re pretty close to it with LLMs. True artificial intelligence would change the world drastically, but LLMs aren’t the path to it.

In terms of boredom, it’s a healthy thing! Boredom is what pushes people to learn new skills, find new hobbies, and just generally do things. I think the demonization of boredom is very bad for society.

In terms of disaster relief, that sucks. If you have to use Reddit for that, then so be it. People getting the help they need in an emergency is more important than sticking it to spez.

That’s currently being scheduled.

The complication is that he’ll never spend a day in Romanian prison, the UK has requested extradition. As soon as the trial is over, he’s headed to the UK. From that point, it’s Britain’s decision as to what happens next.

On the plus side as a Romanian, him becoming a convicted criminal here means that no matter what the UK decides, he can’t come back.

Last year I was forced to take 2 weeks PTO just before Christmas so my company wouldn’t get slapped with fines. Unexpected, but welcome. I just hadn’t checked how many days were left unused.

I like our European rules as well.

As long as the next line also has 5 spaces, that’s fine. Python only complains about inconsistency, not the exact number of spaces/tabs.

I kept reading waiting for the punch line, didn’t see one. I think I’ve fallen victim to Poe’s law. I legitimately can’t tell if this is satire.

My completely uncorroborated gut feeling is that it’s because each celebrity caught doing horrible shit causes a massive media frenzy, so even if (and I don’t know if this is true) the numbers of horrible people are proportional to the overall population, there’s a bias because each one is named and shamed unlike non-celebrities.

Yup. As someone who’s worked a little bit on GDPR compliance, it’s not some magic wand you wave at your data. Any data they receive after the request is also not covered by that request. Also, only EU citizens and residents are legally entitled to make a request. A company may choose to comply with non-EU users, but that’s purely their choice.

Comments that contain any info about where you live, your ethnicity, disabilities (cognitive or physical), gender, where you work, etc must be deleted as part of a forget request, so that might impact LLM training data.

Personally identifying information can be somewhat of a grey area in some situations as well. If I were to say I’m from New York, that’d be personally identifying. If I were to say I’m a fan of a sports team in New York, that’s not (even if that implies my location). If I were to say I’m a fan of a New York sports team, my favourite pizza place is in New York, my favourite park is in New York, etc etc, that might arguably be identifying, even if each of the pieces by itself is not.

EDIT: Oh, and I forgot one of the most important parts: it’s not like there are any spot checks or anything. You’d need someone to actually lodge a formal complaint, with some kind of evidence they haven’t done what they’re supposed to, and the procedures are different for every EU country. They are normally very involved and complex. Essentially, you’d need to lawyer up and care enough to slowly and painfully shove it through the legal system.

I saw a Penn Jillette interview a long time ago where he explained that quite a few other magicians fake their recorded stage performances. They’ll perform a simpler trick, get the audience reactions, and then use camera trickery to make the trick look far more impressive for TV. This was in the context of him claiming that he absolutely doesn’t do that.