Hi I'm helping organising the Stockholm LW meetup but I need more karma to be able to post, upboats plz.
Update on LW 2.0: user interviews scheduled for this week, work on the design underway, as well as some extra features. The broad plan is something like the following: user interviews / alpha testing to find the breaking UX bugs and get the design squared away, a closed beta to find more bugs and make sure the experience with multiple people doing stuff on the site is good / how we expect it to be, and then an open beta to give the broader community a chance to see it and find things for us to fix before it goes live at lesswrong.com. A core part of this process is making sure that there's consensus that it's actually worth switching.
Some random barely-edited thoughts on my experience with weight loss:
In the midst of a diet where I will lose 15 lbs (15.9lb, from 185.8 lb to 169.9, to be exact) in 40 days.
I have 95% certainty I will reach this goal in the appointed time. Even if I don't reach exactly 169.9lb, I'll be close, so whether or not I hit the exact number is arbitrary for my purposes. (I'm losing some weight to see if it helps a lingering back injury.)
I'm just eating a disciplined diet and working out according to a consistent schedule.
My diet is simple and not starvation-y at all. Most people wouldn't do it because it's repetitive (I literally eat the same thing nearly everyday so I can know my calorie intake without any counting.)
My workout isn't hard but most people wouldn't do it because...I don't know why, it's just my experience that people won't. It's 4-5 days per week of 30-60 minutes cardio and 30-60 minutes of weight training. I have a back injury that's limiting me, so it's nothing terribly rigorous.
...
In my years at health clubs, talking to health-club-going people, I've seen all the evidence I'll ever need to believe, basically, the Calories In / Calories Out model of weight loss is corre...
Why does patternism [the position that you are only a pattern in physics and any continuations of it are you/you'd sign up for cryonics/you'd step into Parfit's teleporter/you've read the QM sequence]
not imply
subjective immortality? [you will see people dying, other people will see you die, but you will never experience it yourself]
(contingent on the universe being big enough for lots of continuations of you to exist physically)
I asked this on the official IRC, but only feep was kind enough to oblige (and had a unique argument that I don't think everyone ...
There's a free market idea that the market rewards those who provide value to society. I think I've found a simple counterexample.
Imagine a loaf of bread is worth 1 dollar to consumers. If you make 100 loaves and sell them for 99 cents each, you've provided 1 dollar of value to society, but made 99 dollars for yourself. If you make 100 loaves and give them away to those who can't afford it, you've provided 100 dollars of value to society, but made zero for yourself. Since the relationship is inverted, we see that the market doesn't reward those who provide...
I often feel like upvotes on LW correspond more to the "insightfulness" of a post, rather than its perceived instrumental value. Unsure how I feel about this because if I'm relying on upvotes as a social incentive to write things, this shapes what I write in directions that might not be directly useful (IMO) to the most people.
Another week, another Open thread, another problem:
https://protokol2020.wordpress.com/2017/05/14/chesslike-problem/
Is there a good reason, that I am not seeing that there isn't a society for AGIrisk?
It would do various meta things around AGIrisk like
Outreach to AI students to inform them and measure the spread of ai safety ideas
Co-ordinate with the research institutes to provide experts for the media/government
Provide opsec advice for researchers to keep their dangerous results hidden.
Is there some nice game-theoretic solution that deals with the 'free rider problem', in the sense of making everyone pay in proportion to their honest valuation? Like how Vickery Auctions reveal honest prices, or Sperner's lemma can help with envy-free rent division?
I've watched Stuart Russel's TED talk on AI risk, and my gut reaction to it was "do you want to be paperclips? this is how you become paperclips!". It goes completely against the grain of the view that has been expressed on this blog as of few years ago. But, then again, AI is hard, and there might be some recent developments that I have missed. What is the current state of the research? What does EY and his camarilla think about the state of the problem as of now?
I'm searching for a quote. It goes something like this:
"In nearly every contest there comes a point where one competitor has decided that they are going to lose. Sometimes it's near the end; sometimes it's right at the start. After that point, everything they do will be aimed at bringing that result to pass."
And then continues in that vein for a bit. I don't have the wording close enough to correct for Google to get me what I'm looking for, though. And I could swear I've seen it quoted here before. Does someone else remember the source?
The last bigger Windows update left my computer without a driver for the GPU. Hardware acceleration on websites like https://human.biodigital.com/index.html didn't work. Unfortunately, it took a few months notice the specific problem. I installed the open source tool Snappy Driver Installer and it fixed the issue. It also installed proper drivers for other hardware.
Does anybody here know any personally successful techniques or strategies on handling regret? I have some regrets from my past that occasional come and bother me sometimes whenever I study.
the Calories In / Calories Out model of weight loss is correct
My opinion is that it is a "motte-and-bailey" type of a model. Technically correct, but skips some of the important parts.
Things you can control directly:
Things you cannot control directly:
Things this model doesn't even mention:
As a consequense, these things happen in real life that the model does not predict:
If you are lucky, you can actually put a lot of calories in your mouth without getting fat as a result, even if you are not exercising hard. Not sure what exactly happens, my uneducated guess is that the metabolism only takes as much calories as needed, as the rest goes to shit. (So yes, technically it is "calories out", but it is not what people proposing this model typically mean, and you have no direct control over this, i.e. you can't simply decide to lose weight by going to the bathroom more often.)
If you are unlucky, the "calories in" get converted into something that is somehow not easily accessible as an energy source. (Either because your metabolism is fucked up generally, or because your body is low on some important component, such as iron.) You know you should burn some calories, but at the same time you are weak as a fly, so you really can't. (Not because "math doesn't work", but because the linear model ignores some parts of the reality.) But you mentioned this in the "random thoughts" part.
...however, assuming that the metabolism is working more or less correctly, the model is useful.
My recommendation would be:
Step 1 -- get checked by a doctor, whether you are low on something; start taking supplements;
Step 2 -- start exercising regularly, without worrying about the "calories in" yet, just to build the momentum;
Step 3 -- get more strategic about the food you eat.
The reason I put "step 2" before "step 3" is because studing calories can take unlimited amounts of time, and can be used as a convenient excuse to procrastinate on exercising. I would also say that "add a lot of unprocessed vegetables in your food" is a good first approximation for healthy diet.
Other random thoughts:
Things you cannot control directly - what your metabolism actually does with the food you put in your mouth
Agreed. Some people have significantly higher metabolisms.
Things this model doesn't even mention - there are other important things about the food, not just calories
Agreed. I'm not talking about nutrition, just weight loss.
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