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JhanicManifold


				

				

				
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joined 2022 September 04 20:29:00 UTC

				

User ID: 135

JhanicManifold


				
				
				

				
6 followers   follows 0 users   joined 2022 September 04 20:29:00 UTC

					

No bio...


					

User ID: 135

Yeah the pulsing patterns seem very specific, and are probably the entire technical moat of the company. The way it works is that there are a variety of "programs" on the app, so you have a "stress program" that lasts 15 min, which starts with short, intense pulses that get quicker and quicker, then you have a "calm program", a "sleep program", etc. The device modulates both the intensity and the frequency of the haptics over time depending on the program you chose.

yeah I just use insulin needles from amazon, with alcohol prep pads. The only thing you can't get from amazon is bacteriostatic water, which is still over-the-counter, just not from amazon (I got it from here). Peptides in general are best stored dry in a freezer or fridge, but I keep them at room temperature away from the light, the tests I've seen don't really show any meaningful degradation in a few months. Though they start to degrade much faster once you add in water.

Another thing, you probably won't be able to just buy a month's supply, the minimum order quantity is 10 vials of 2mg, which comes in a prepackaged little box disguised as a chinese beauty mask. I don't think the supplier is set up to ship orders which aren't multiples of 10 vials.

on this site, in the top right you see a "contact supplier" section, and in the top right of that, there's a little button with a "business card" hover-on text, if you click on that and enter you email, it'll send you a whatsapp contact number, and then you can ask for semaglutide, payment is a bit of a hassle, and is done through wise, or moneygram, or westernunion (or some other international money transfer site). I can confirm that you do indeed receive some powder which has the effects I'd expect of semaglutide when injected.

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The monthly price of not being morbidly obese seems that it will come to about 500$/month

Much less if you're willing to buy from chinese sources, who sell it for around 7$/mg, which comes out to like 60$/month for the typical high dose of 2mg/week.

Surprisingly, it kind of does! It felt to me like it helped me not think of work or other things while I'm going to sleep, the vibrations on your skin have a way of capturing attention very effectively. I tried it out for a few weeks after seeing it recommended here, but I'm now returning it, the difference just isn't that big for me, nowhere near the magnitude that the bedjet is making.

This probably has to do with sleep quality, the 4 main things that I've noticed make a noticeable difference for me are

  1. stopping caffeine

  2. magnesium supplements before sleep

  3. Some form of bed cooling system (I use the bedjet 3). If you're hot or sweating or cold while you sleep, this will make a massive difference

  4. A weird vibrating ankle bracelet called the Apollo Neuro that works kind of by magic (see this)

This would heavily penalize the True Nerds, the sort who win math Olympiads, build particle accelerators in garages and hack the NSA at 15. By and large these nerds don't give a flying fuck about writing ability when they're that young (I know I certainly didn't), they don't even really try to play the game of maximizing admissions probability by volunteering or something, their life is entirely consumed by their passion and they just kind of hope that colleges will make a place for them. So under your system geniuses would no longer go to Harvard.

"Any man who must say, 'I am the king' is no true king"

There is no way to not appear weak when complaining that the mother of your child went clubbing with Usher, the war was already lost when that dude decided to make someone like Keke the mother of his child. This sort of thing can only be enforced through the cultivation of respect, never becoming explicit, otherwise it's like your boss explicitly demanding you call him "sir", or a PhD reminding you to call him "doctor". Just unbelievably cringy and weak. Your gf/wife is just supposed to know, without you telling her, that sending nude photos to other dudes is a big no-no. If she doesn't understand that automatically, there's no fixing her without sacrificing significant amounts of your own authority and generally ruining the relationship.

Hmm, basically all the libraries I listed except maybe for pytorch haven't changed all that much since 2021, gpt-4 should really still be very useful with all of them. What it will have trouble with is a library like "Transformer" by huggingface, which lets you automatically download and use pretrained deep learning models. But to even use a super-high-abstraction library like that one you still need a bunch of "glue skills" like knowing how to load a .png image from your computer into a format that the high-level functions can understand, and how to interpret and visualise the output of those high-level functions. GPT-4 would be amazing for all of that.

For machine learning in particular and scientific computing more generally, you have the following extremely useful libraries, all in python, because that's the most common language here:

  1. Numpy, short for Numerical Python. This is a very deep library that does everything from numerical derivatives, integrals, matrix multiplication, everything in linear algebra, sorting arrays of numbers, and even simple linear regression. The main workhorse here is the "ndarray" datatype that numpy defines, which allows you to create an object which stores a multi-dimensional array of numbers very efficiently.

  2. Scipy, short for Scientific Python. This is an extension of numpy, which includes optimisation routines, solving differential equations, algebraic equations, etc. Less overwhelmingly used than numpy, but still very common

  3. Scikit-learn. This is the library to use if you want off-the-shelf classical machine learning algorithms, so anything outside of deep-learning stuff. Decision trees, linear/logistic regression, clustering, nearest neighbors, or whatever, this does basically all of it.

  4. matplotlib. This is the most common visualisation library to make graphs or charts. Endlessly customizable, and hence kind of a pain to use, but it's the most common and very useful.

  5. Pytorch. Now we're getting into deep learning and GPU computing. Pytorch essentially does much of the same job as Numpy, but it also automatically interfaces with your GPU, so that all your matrix multiplies are run much, much faster. This is the library you use to define your deep learning models, and the one you use to write your training code.

And so on and so on. There are other libraries like Pandas for data analysis, and all the huggingface libraries for deep learning, which get you even more abstraction, so that you can use transformers without even knowing. I don't think there is any more pleasant way of getting to know these libraries than reading a few textbooks and then inevitably drudging through their documentations when the need arises.

I had my first two olympic wrestling classes this monday and tuesday, and it quickly became obvious to me that this was the sport I was born for, I immediately loved it. Wrestling-only gyms for adults are really rare, given that basically everyone who becomes good at it starts out in high-school (or earlier) and continues on to college, but I was lucky to find one that offered classes. This is the first sport that truly resonated with me on an instinctual level, even more so than weight-lifting. Winning a contest of literal physical dominance against another dude feels waaay better than winning at any other sport that I can remember playing in school.

The class was generally structured in 3 phases: warmup, then technique drills where you pair up and take turns practising a few techniques the instructor shows you, and then sparring at something close to 100% effort, trying to get another person to fall on their back.

I was surprised on 2 fronts, first, being physically bigger and stronger is an unbelievable advantage. I knew that already, of course, but the sheer magnitude of it surprised me. I'm 206lbs, 5'10 at 22% body fat, and I was sparring with a new guy of the same height, but 160lbs, and the difference was truly unbelievable, it was essentially trivial for me to overpower him. Physical clashes between adult males are so rare in daily life that I just hadn't really realised at a visceral level how much difference weight and muscles make, but it's truly enormous.

The second surprise was the effectiveness of technique against people who don't know it. One guy weighed 150lbs, but had been taking wrestling classes for a few years, and I was powerless against him. Though he did tell me that he needed to have perfect technique in order to take me down, anything less than perfection and my strength can effectively play defence.

This morning I've counted 5 bruises and 3 scratches on my body, my ribs hurt, my neck is sore, and both my shoulders muscles are painful, but I've never been this happy about any other sport.

It's not clear to me either, and it wouldn't be clear to the occupants too, but life and death situations don't tend to make you more reasonable and level-headed, killing the CEO is the "we must do something, and this is something" option here.

My god, can you imagine the drama inside that tiny ship over the past days? I think I'd bet at 90% that the CEO is already long dead, killed by the 4 others in order to save oxygen. Two of the people are a father-son duo, and in a power struggle they might have killed the others too, knowing that they can only trust family. I really hope they find that thing so we get to know what actually happened.

"You will not be punished for your sins, you will be punished by them"

Conversely, a good deed is its own reward, and a good conscience can really bring a lot of pleasure intrinsic to it.

Get a meat thermometer and grill to 170F internal temperature. I mix 4 eggs, 2 cups panko bread crumbs, 1.3kg of extra lean beef, 3 tbsp smoked paprika, 2 tbsp garlic salt and 2 tbsp crushed oregano together into the burger paste, and they turn out great every time if grilled at around 450F. Spices don't burn if you mix them into the meat itself.

Eh, I just don't read the threads that don't interest me or where I can easily predict the responses. I've had periods without reading the motte, but then a world event would happen, and again and again TheMotte was the only place I could find to discuss it in an intelligent manner.

We've become like Harvard, almost none of the value is in the content provided, it's rather in the pre-selection mechanism for who ends up here.

Bob Lazar is a lying hack, but that particular point of his is true, it's just that in that case, there's no downside to revealing the secret. Other countries won't do much better at deciphering the hidden tech, so we might as well use the US's dominance in science to make as much progress as possible with this.

I have to say that I really, really want all this UFO stuff to be true, mostly because this implies that there's an "adult in the neighborhood" who won't let a super-intelligence be created, it would imply that we'd have to share the cosmic endowment with aliens, but I'll take the certainty of getting a thousand bucks over the impossibility a billion.

However, If the US has had alien technology for decades and kept it a secret, this implies that the US has essentially sacrificed unbelievable amounts of economic and technological growth for the sake of... what, exactly? Preventing itself from having asymmetric warfare capabilities?! Isn't asymmetric warfare the entire goal of the US military? The rationale for maintaining this unbelievable level of secrecy for 8 decades, through democrat and republican presidents, through wars and economic crises, just doesn't seem that strong to me.

So therefore, barring actual physical evidence, it seems that the US intelligence apparatus is trying to make us believe that alien tech exists, and I have no clue why. This is obviously a fairly complicated operation given all the high-level people who keep coming forward, but I can't see what is to be gained here. So overall, my impression at the whole UFO phenomenon is massive confusion, I can't come up with a single coherent model of the world which makes sense of everything I'm seeing.

Yeah I wouldn't really trust the tests on that page too much, I took their IQ test and got 158 on it, which a ridiculous overestimation based on the previous tests I took, where I got like 135-140.

I might have fucked up one of the easier ones, but gotten avulse correctly. That would explain things if difficult questions are worth more.

hmm, top 0.2% for me, I'm kind of surprised, I never made any explicit effort in all my english classes, and I'm not even a native speaker.

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Evolution is not an algorithm at all. It's the term we use to refer to the cumulative track record of survivor bias in populations of semi-deterministic replicators.

This is just semantics, but I disagree with this, if you have a dynamical system that you're observing with a one-dimensional state x_t, and a state transition rule x_{t+1} = x_t - 0.1 * (2x_t) , you can either just look at the given dynamics and see no explicit optimisation being done at all, or you can notice that this system is equivalent to gradient descent with lr=0.1 on the function f(x)=x^2 . You might say that "GD is just a reification of the dynamics observed in the system", but the two ways of looking at the system are completely equivalent.

a transformer is wholly shaped by the pressure of the objective function, in a way that a flexible intelligent agent generated by an evolutionary algorithm is not shaped by IGF (to say nothing of real biological entities). The correct analogies are something like SGD:lifetime animal learning; and evolution:R&D in ML

Okay, point 2 did change my mind a lot, I'm not too sure how I missed that the first time. I still think there might be a possibly-tiny difference between outer-objective and inner-objective for LLMs, but the magnitude of that difference won't be anywhere close to the difference between human goals and IGF. If anything, it's really remarkable that evolution managed to imbue some humans with desires this close to explicitly maximising IGF, and if IGF was being optimised with GD over the individual synapses of a human, of course we'd have explicit goals for IGF.

I'd be super happy to be convinced of the contrary! (Given that the existence of mesa-optimisers are a big reason for my fears of existential risk) But do you mean to imply that gpt-4 is explicitly optimising for next-word prediction internally? And what about a gpt-4 variant that was only trained for 20% of the time that the real gpt-4 was? To the degree that LLMs have anything like "internal goals", they should change over the course of training, and no LLM is trained anywhere close to completion, so I find it hard to believe that the outer objective is being faithfully transfered.

What GPT does is predict the next token. That's a simple statement with a great deal of complexity underlying it.

At least, that's the Outer Objective, it's the equivalent of saying that humans are maximising inclusive-genetic-fitness, which is false if you look at the inner planning process of most humans. And just like evolution has endowed us with motivations and goals which get close enough at maximising its objective in the ancestral environment, so is GPT-4 endowed with unknown goals and cognition which are pretty good at maximising the log probability it assigns to the next word, but not perfect.

GPT-4 is almost certainly not doing reasoning like "What is the most likely next word among the documents on the internet pre-2021 that the filtering process of the OpenAI team would have included in my dataset?", it probably has a bunch of heuristic "goals" that get close enough to maximising the objective, just like humans have heuristic goals like sex, power, social status that get close enough for the ancestral environment, but no explicit planning for lots of kids, and certainly no explicit planning for paying protein-synthesis labs to produce their DNA by the buckets.

Short answer: it depends on how much cardio you're doing already. Cardio contributes to systemic fatigue, and too much of it will reduce your NEAT (Non-Exercise-Activity-Thermogenesis), basically you'll fidget less and be less inclined to take the stairs instead of the elevator, which will have a net-negative effect on caloric balance.

Very relevant video: Does More Cardio Equal More Weight Lost?

(and I'm very surprised by your 100cal per 2 miles walking number, I use this calculator for estimating walking calories, which gives me much higher numbers)