machinelearning

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31.
by machinelearning 5y ago
Counting and estimating calories is a skill that should be taught in schools. The public health benefits are unparalleled.
32.
by machinelearning 5y ago
Fasting is definitely a good tool to utilize and it has its own benefits other than weight loss e.g. acting as a hormetic stressor. But by far the most useful tool I’ve come across to precisely control body composition is the skill of count
33.
by machinelearning 5y ago
Writing is faster than remembering. Reading is faster than recalling.
34.
by machinelearning 5y ago
This is because it's far easier to blame your lack of success on your positive moral qualities rather than your competence or luck. One way to do this is to ascribe the other party's success to their lack of ethics rather than the
35.
by machinelearning 5y ago
The fact that this phrase sounds pithy and makes sense on a literal level tricks people into accepting the underlying message without critically analyzing the meaning of it. A classic Trojan horse of sorts.
36.
by machinelearning 5y ago
HN is not just a discussion board, it also serves as a place to get caught up on the latest happenings around the world. Hence hacker news . Flagging a news article for removal just because the readers have no civility is untoward. If anyt
37.
by machinelearning 5y ago
> “exaggerate the dangers of vaccines” You really think that this article is trying to exaggerate the dangers of the covid vaccine? Even when the headline starts with “In rare cases” An excerpt from the article: Probing possible side eff
38.
by machinelearning 5y ago
Not sure I follow, what group are they comparing the 40% risk reduction to?
39.
by machinelearning 5y ago
Actually the headline implies that there is no cardiovascular benefit. “Studies have shown that even small amounts of alcohol can increase a person's risk of cardiovascular disease” “To date, no reliable correlation has been found betw
40.
by machinelearning 5y ago
This quote is too simplistic to be useful. There are certain activities that are not harmful but risky (0 harm most of the time and high level of harm rarely) e.g. driving and others that are harmful but not risky e.g. drinking or being exp
41.
by machinelearning 5y ago
Unless you have legitimate health issues that make exercise painful, the anticipated cost is a greater than the actual cost. It is still unrealistic to say that they are “very very high” though. The main barriers imo are not the perceived c
42.
by machinelearning 5y ago
Moving outside of your comfort zone is not inherently painful. Sure it may be uncomfortable or scary but it certainly doesn't imply trauma. I interpreted OP's comments as trauma being the causative factor for change to occur, not
43.
by machinelearning 5y ago
Very often, the desire to change arises from experiencing major pain (of which trauma is one kind). But this is not always the case. The impetus for change spans the spectrum of human emotions including dissatisfaction, pleasure seeking, ex
44.
by machinelearning 5y ago
Why do you feel like you have to qualify your comment by disclosing your vaccination status? Surely that shouldn’t dictate whether you’re allowed to express your thoughts on a subject or the factual accuracy of your statements.
45.
by machinelearning 5y ago
Source?
46.
by machinelearning 5y ago
I think flying is especially attractive to people in tech because it is cognitively demanding (flight planning, comms, instrument work) but also requires a lot of physical coordination and prediction (landing, stall recovery, maneuvers) tha
47.
by machinelearning 5y ago
The probability of finding prey animals is low near a beach. This is bad if you’re a predator and need to find food. However it is also good if you want to sleep because the probability of being found by a predator is low. There are several
48.
by machinelearning 5y ago
The periodicity of the boat on waves is calming in a similar way to rocking on a cradle. Something about the consistency of the motion offers security. I’d guess it serves as an additional equilibrioceptive cue to the sleeping brain that’s
49.
by machinelearning 5y ago
The way to make sense of this is not to think about the water weight but the solid matter. By changing the proportion of water from 99% to 98%, you're also doubling the proportion of solid mass from 1% to 2%.
50.
by machinelearning 5y ago
Hey man, I understand this is a sensitive topic that people have strong opinions on so proposing something that sounds controversial can trigger a lot of assumed conclusions. Can we take a step back for a sec? First, before we assume that i
51.
by machinelearning 5y ago
The severity of the accident is an interesting point. Though it intuitively feels like there are ways for software to mitigate the severity of an accident when it realizes it is about to crash than a human who might be asleep, intoxicated o
52.
by machinelearning 5y ago
1. I’d challenge the premise that human errors are random. There are a ton of patterns that cause accidents including intoxication, low visibility conditions and tiredness. I haven’t done a statistical analysis but I’d hazard a guess that o
53.
by machinelearning 5y ago
I considered this before posting, but I think that human disengagements are an important supervisory signal for the model. You can’t hire enough safety drivers to scale this process and releasing it is the fastest way to get there. Simulati
54.
by machinelearning 5y ago
Question for people here: Is it justifiable to accept these flaws in the short-term if it results in a car that has a lower-error rate than human drivers in the medium/long-term?
55.
by machinelearning 5y ago
People don’t fully appreciate how different driving in multiple locations/conditions is to a neural network. Since most drivers only operate in certain fixed conditions often (e.g. driving to work or along certain routes during the day
56.
by machinelearning 5y ago
This isn’t technical progress but is regulatory progress. Technical progress is the current limiting factor so I agree that it is more important to emphasize right now. On the other hand, I disagree that user videos on YouTube is a sign of
57.
by machinelearning 5y ago
You can ask most adults why they did something and not get a coherent answer either but ok, I’ll address your main point of there being failure modes instead of nitpicking your example. First off, I said “researchers underestimated how effe
58.
by machinelearning 5y ago
I'd challenge the premise instead of trying to claim that it's one way or another. Asking the question of whether something is intelligent always strikes me as odd. We don't have a definition of what intelligence is and our b
59.
by machinelearning 5y ago
> Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. This sounds reminiscent of the post-ImageNet da
60.
by machinelearning 5y ago
1. Maybe I'm guilty of moving goalposts but super-resolution of faces isn't that 'Jaw-Dropping' after the recent GAN work that showed that you can create hyper-realistic synthetic faces from 0 input to guide it. 2. There

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