A better comparison would be if the human in question was a random dude you pulled off the streets. If this was a cow that I grew up with and shared a bond with, then yeah, I’d obviously pick the cow over some dude I don’t know. If it’s a childhood friend versus a random cow I don’t know? Same thing but in reverse.
It’s not pointless. Depending on where you live, there’s a good chance you do have an abundance of cheap housing available. They’re just not in desirable locations, so many would opt to either pay extra for the privilege of living in more desirable homes or even living on the streets.
Regarding taxes, I’m talking about those who haven’t previously paid taxes, are not currently paying taxes while living in the area, and have no plans to pay taxes after they leave the area.
How did that work when it came to deciding who gets the more desirable housing versus the less desirable ones? Or those who are not from the area and don’t pay taxes to cover the housing?
I’m pretty sure you mean that you’d like a world with no landlords and not a world where short term housing solutions don’t exist. No rent would imply the latter. Unless you know of a way to do it without paying rent?
Could you process it further and package it up to sell as salt? Or is this not the same thing as table salt?
I’ve never found Bing chat to match up with the free ChatGPT. It often just refuses to answer my question while ChatGPT will at least take a guess and give me something to work with.
I’m surprised to hear German has a word for this, considering that stats I’ve previously seen show Germany as having the highest proportion of male sitting pee-ers.
Perfectly fine tool, but they should not be used when you’re being evaluated on your ability to do arithmetics.
The game trying to force that plot twist felt very jarring and pulled me out of the immersion right from the start. My guy, you have no idea how long you’ve been in there. Why are you asking around for a child?
They do not have sales data, so they use two different proxies: number of reviews, and number of active players.
I don’t see mention of how they get the number of active players. I’m assuming it’s through stats in Steam or something similar. If that’s the case, then their assumption of this number being biased towards being larger than the true number would be wrong. If you choose to both pirate and buy the game, chances are good that you’ll be playing the pirated version, and therefore would not get counted towards active players.
I would caution against using these numbers for any Calorie-in/out calculations. Even if they were 100% accurate, it still doesn’t take into account anything that happens outside of that machine.
Example: There’s something we call “non-exercise activity thermogenesis” (NEAT). This includes lots of things you do without thinking about it, like fidgeting, tapping your feet while sitting, or pacing around the room. In some people, NEAT can decrease significantly after exercise, which then negates much of the Calories burned.
You mean at the tail end of a thread that opened with me pointing at the environmental costs?
Exactly! Hence my confusion. If you care about energy costs, then shouldn’t saving energy be a good thing? Why would the benefit be 0?
Weren’t you just telling me that the environmental cost has no impact on your stance?
Count yourself lucky. My front burner has become a secondary backburner and I’ve moved on to using a portable cooktop.
It sounds like you don’t like how LLMs are currently used, not their power consumption.
I agree that they’re a dead end. But I also don’t think they need much improvement over what we currently have. We just need to stop jamming them where they don’t belong and leave them be where they shine.
Yeah, they operate very opaquely, so we can’t know the true cost, but based on what I can know with certainty given models I can run on my own machines, the numbers seem reasonable. In any case, that’s not really relevant to this discussion. Treat it as a hypothetical, then work out the math later to figure out where we want to be and what threshold we should be setting.
Indeed. Though what we should be thinking about is not just the cost in absolute terms, but in relation to the benefit. GPT-4 is one of the more expensive models to run right now, and you can accomplish very good results with their smaller GPT-4o mini at 0.5% of the energy cost[1]. That’s the cost of running 0.07 LED bulbs over an hour, or running 1 LED bulb over 0.07 hours (i.e. 5min). If that saves you 5min of time writing an email while the room is lit with a single LED bulb and your computer is drawing energy, that might just be worth it, right?
[1] Estimated by using https://huggingface.co/spaces/genai-impact/ecologits-calculator and the pricing difference between GPT-4o, 4o mini, and 3.5 (https://openai.com/api/pricing/). The assumption I’m making is that the total hardware and energy cost scales linearly with the API pricing.
The energy usage is mainly on the training side with LLMs. Generating afterwards is fairly cheap. Maybe what you want is to have fewer companies trying to train their own models from scratch and encourage collaborating instead?
What do you typically use your mayo for? I’m curious because all the stuff you add to your mayo is stuff that I would normally have in whatever dish is using the mayo, so I’m wondering if it actually makes a difference to have it blended in the sauce versus separate.