

30-40% is accurate, at least in that it’s difficult to measure and different organizations may have different figures. The 30-40% comes from the USDA. https://www.usda.gov/about-food/food-safety/food-loss-and-waste/food-waste-faqs


30-40% is accurate, at least in that it’s difficult to measure and different organizations may have different figures. The 30-40% comes from the USDA. https://www.usda.gov/about-food/food-safety/food-loss-and-waste/food-waste-faqs


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Does this imply that 53% do want data centers or was there a “no opinion” option. Unfortunately I can’t read the article due to the paywall.


I don’t really care for the beyond meats but I really like impossible meat. I was really excited when these alternatives finally hit stores as a good alternative to get people to eat less animal meats. While it’s unfortunate that grocery bills have gone up, I’m hoping as animal meat continues to get expensive, it drives more people to try alternatives and pushes the general populace to eat less animal based foods.
Basically all grasses contain silica phytoliths but they likely don’t significantly contribute to teeth wear. https://www.sciencedirect.com/science/article/abs/pii/S0305440306001245


No, misinformation is worse.


I don’t really understand how your 6 questions evaluate a growth or plateau in llm model performance. They did perform a certain way with your questions but growth has to be evaluated through the lens of time, whether literally or evaluating multiple versions of the same model.


Angela collier just uploaded a video about how embarrassing the original article is. Frankly, the situation is ridiculous and speaks to the brain rot experienced as some people become more reliant on these chatbots, regardless of how intelligent seeming some individuals may start off.


I can’t speak for the UK but the restaurants I’ve worked in killed the lobster with a knife before boiling. The more compassionate reason was to kill them quickly before boiling, the other was that boiling them alive led to a worse tasting lobster.


There isn’t a difference. If you’re still functionally advancing a fascist agenda, it doesn’t matter what you want to call or think of yourself, you’re a fascist.
This kind of mindset enables maga.


Fetishization is a form of objectification. When you stop seeing a human as a person and just as an object for your own attraction and lust, you’re fetishizing them.


How misanthropic. Humans aren’t intrinsically anything, we are what we allow ourselves to be. And pragmatically, we absolutely don’t have the resources to spread to other planets but we do have the resources to improve our own, no matter how far gone it seems.


If we’re just looking at the grinding of the metal wheels against the rails, it’s very little. Some metallic particles are produced in the normal wear but ferrous metals easily react and oxidize into more inert and normal forms for life.


I would just say, I do blame ISP’s for trying. It’s unethical to try and squeeze every cent out of your customers, community and country. It’s never just “business”. Businesses are operated by people while exploiting people. It’s not a cold hearted machine doing the thinking, it’s normal people making these unethical decisions.


Reverse threads on gas cylinders are (as far as I know) only used for flammables.


Do you think regulations are just blanket authoritarian actions. Sometimes we need government intervention to ensure and protect people’s rights.


What interests does Jill Stein actually represent for the people? The green party has never held a local office and she only ever pops up during the election for fundraising. If the green party actually did anything aside from campaigning for the presidency, no one would have this criticism.
They’re all stating this to hide from the reality that llm development has nearly hit the upper limits of what these models can do. The hope was that big data would indefinitely sustain the progress of these models but we are seeing diminishing returns. They projected exponential returns back in 2020 but the reality is that these are hill curves. We’ll continue to see incremental progress with llms but academic AI progress will come from exploration of other novel techniques.