It’s not about sterility. Dirt/sand in your mouth is a very unpleasant experience.
It’s not about sterility. Dirt/sand in your mouth is a very unpleasant experience.
I don’t understand why you’re commenting if not to take part in this community.


I inherited one of those but stopped using it because I had no idea how to clean it. I also don’t often run into situations where I need to spray oil.


I’ve just been hoarding all the twist ties that come with other purchases. Only costs me a little bit of sanity every time I look in that drawer.
And the guy wasn’t even anywhere near being a billionaire.


Growing more corn doesn’t seem to be possible without also growing more soy.
Neural networks are a class of models. Genetic algorithms are a class of learning algorithms. You use learning algorithms to train models. Genetic algorithms are a valid way of training neural networks, but this is not currently in vogue. They’re typically trained via gradient descent.
Not all machine learning is AI
The other way around. Machine learning is a subset of AI.


For some reason, I always thought his main contribution from his PhD was the volume thresholds for maintenance and adaptation.
In any case, are we judging his value as a researcher or as a YouTuber? If it’s the former, I’d rather look at his publishing history rather than a thesis. Soloman mentioned that the school he graduated from wasn’t a particularly high ranking school, and that’s evidenced by how they were able to let this pass. Knowing how your school works, why would you put any effort at all into what is essentially just a formality for graduation? Where I went for grad school, the examiners will read your work properly, but most people still only put in the minimal effort for it. Our efforts mostly go into papers that actually get read. Your thesis is never expected to see the light of day again after graduation.
If we’re judging him for his value as a YouTuber, then we should be judging his YouTube content. As far as that goes, he’s pretty much just preaching the same thing as every other fitness YouTuber. It’s just packaged differently. The one thing he does that stands out from others is explaining how science and the scientific method works when putting exercise science papers into context. I can understand his credentials being relevant here if you’re a non-expert, but as a scientist myself, I can vouch for the soundness of his explanations.
Jeff’s response was definitely disappointing though. Insulting Soloman does not align with the wholesome character of him that was painted in my head.
I’ve always liked Mayo better than butter for grilled cheese. It adds a nice bit of acidity that pairs well with everything else.
An example with an oversimplified diet to illustrate the point I think you’re trying to make: You have a diet that’s exclusively cake and you’ve determined that you need 2000 Calories of cake to maintain your weight. That 2000 Calories figure is an estimate and we don’t know exactly how much of it we’re actually absorbing. In reality, it’s actually more like 1800 Calories. Now all of a sudden, you switch your diet to eating exclusively cookies. You measure out exactly 2000 Calories of cookies and eat the same thing every day. But your Calorie estimate is wrong and you’re actually eating 2100 Calories of cookies per day. Now you gain weight on this supposed 2000 Calorie diet.
I argue that this doesn’t matter either. If you see that you’re gaining weight, then it means you’re eating too much. Reduce your Calorie target and you’ll be back on track. In a real world scenario, you’re going to have a much more varied diet than only cake or only cookies, and each item will come with their own measurement errors. But for most people, their diets are varied in a fairly consistent way, so these errors are also consistent on average. If you ever make changes in your diet (e.g. completely cut out McDonald’s), you’ll change both your estimated Calorie intake and target like in the example above. Adjust your numbers accordingly based on how your bodyweight moves and you’re good.
Of course, other ways of dieting are also effective. It depends mostly on what you can adhere to and your goals.


Everyone ignores prop 65 because the consequences are so distant. But anaphylaxis is very immediate. No one is going to take that kind of risk. That gives a much higher incentive to properly label things.
We’ve had at least two of these in the recent past: that Ukrainian power plant that was under attack, and also Iran’s nuclear facilities getting bombed.
As would building a fence to keep in a bird.


I’ve seen videos of those TikTok farms. It’s so much more dystopic than any fiction can come up with.
We’ve already adapted via medical science and technology. There’s no more evolutionary pressure to biologically adapt.
None of that actually matters when it comes to weight control. What matters is that the linear relationship is retained in your proxy measure of Calories. Meaning that if you eat two pieces of cake, you’ve doubled your Calorie intake compared to eating one piece.


Many pay a lot more without ever learning this lesson. I’d say it was money well spent.


Privacy concern for sure, but given that you can already tie different photos back to the same phone from lens artifacts, I don’t think this is going to make things much worse than they already are.
someone could create a virtual camera that would sign images
Anyone who produces cameras can publish a list of valid keys associated with their camera. If you trust the manufacturer, then you also trust their keys. If there’s no trusted source for the keys, then you don’t trust the signature.
I don’t know how a sponge is supposed to do anything when sometimes even the peeler can’t do the job. I have to get into the nooks with a knife.