JhanicManifold
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User ID: 135
JhanicManifold
10mo ago
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:
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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.
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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
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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.
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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.
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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.
JhanicManifold
2mo ago
For maximum attractiveness to women, being lean (say 10~12% body fat) at something like 21 to 22 ffmi is probably the optimum, see this calculator to play around with your own stats. Regarding specific muscles, side delts are #1, then chest, back, and arms. Girls don't care about legs as long as they're not ridiculously out of proportion with the rest of your body. Glutes are also important for the overall silhouette from the back.
See this video for discussions about the optimal muscle level for attractiveness.
JhanicManifold
10mo ago
I think I share a common preference among men that I’d rarely pass up on a hookup with an attractive woman but would probably not date a woman long-term who has slept around too much
I'd pass on even a hookup with an attractive woman who has had too many partners. Some character traits or behaviours lower a woman's attractiveness so much that she just drops below a critical level for me. For instance, if I see a woman being cruel to a child, she could look like Emily Ratajkowski, and I still wouldn't want to fuck her (or maybe at that point it wraps back around to hate-fucking, I'm not sure)
But yes, I think that casual sex unethical, because "casual sex" is for men what "friendzoned orbiters" is for women. In both cases only one party gets most of what they want: sex for men, emotional intimacy for women. In most real cases of friendzoned guys and girls having casual sex, no one is making it clear that the relationship has no chance of going further, both these situations are fundamentally consequences of power imbalances.
JhanicManifold
11mo ago
"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.
JhanicManifold
11mo ago
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.
JhanicManifold
11mo ago
Do you think the COVID vaccine will literally take 5 years off most people's lives? There have been semaglutide studies going up to like 24 months without adverse effects for weight loss, and weaker stuff in the same GLP-1 class like liraglutide has been used for years. We might find negative effects later on, but In general, stuff that doesn't have massive negative effects in the medium term won't suddenly get massive negative effects in the long term.
And regardless of this, if any negative effects happen in 30 years, I fully expect future AI medicine to make them completely trivial.
Semaglutide works really, really fucking well.
JhanicManifold
7mo ago
In the drug realm:
Biggest by far: semaglutide for weight loss. Works so well that Walmart is noticing sales drop... if that isn't an amazing endorsement I don't know what is.
Second biggest: occasional moderate dose (1.5g) phenibut taken 8 hours before a stressful social situation.
JhanicManifold
8mo ago
It's a close cousin to benzodiazepines (though much easier to acquire), so the withdrawal symptoms are massive as fuck, there's a reddit community dedicated to people who've fucked up their lives taking phenibut everyday, though I can't seem to find it right now. I also notice increased anxiety on the day after I take a dose. It works very well for my use case, but I periodically remember not to treat it lightly.
JhanicManifold
8mo ago
For regular consumption, creatine is the king, there's no other supplement with as clear and massive of a benefit, it makes you stronger, helps cognition and 30 years of intense research hasn't found a single negative effect (maybe apart from slight intestinal distress in some people).
I also use phenibut and modafinil on special occasions. Phenibut is amazing at lowering social anxiety in particular while leaving your reasoning capacities essentially untouched, and modafinil is good at boosting concentration and making you stay awake. You shouldn't take these daily, phenibut in particular will fuck up your life if you take large doses daily, the best is to use it for occasional job interviews or presentations, for which it works amazingly well.
JhanicManifold
10mo ago
Hmm, I would say that if the secret is like "AI will kill everyone and there's nothing you can do to stop it", don't tell her. If the secret is like "your father was a murderer" or "you have terminal cancer", then do tell her, because it's "her business" in some sense. Another factor is how much knowing the secret will eat at you over time, if the person is a close friend of yours, keeping this secret forever will be a great burden and you should tell them, if it's just an acquaintance, then not so much.
If you think you're good at acting and deception, you could even indirectly ask for their opinion on the matter, all you have to do is invent a new secret with all the relevant characteristic about some distant friend, then ask them whether you should tell your distant friend.
JhanicManifold
10mo ago
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.
JhanicManifold
11mo ago
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.
JhanicManifold
10mo ago
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.
JhanicManifold
10mo ago
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.
JhanicManifold
11mo ago
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.
JhanicManifold
11mo ago
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.
JhanicManifold
11mo ago
I mean, if you want large costs for the same benefits, there are plenty of effective weight loss drugs with a shit ton of unhealthy side effects, DNP and trenbolone will make you lose weight, they just might also kill you lol, their side effects are not subtle at all. Free lunches are rare in the world, but there's certainly lunches that are more expensive than others.
JhanicManifold
2mo ago
I have, perhaps surprisingly, managed to make new close friends as a mid twenties guy. Here's the trick, you first say "hey bro (or girl I want as a friend), I really enjoyed talking to you at that thing that time, we should get coffee sometime, how's next thursday?". Next, you need to talk one-on-one, it's hard to make a new close friend when you're always in a group with them, and you need to (gradually) tell them some of your secrets, vulnerability is required for close friendship. Virtually everyone to whom you offer one of your small secrets will reciprocate with one of their own, and thus the friendship builds.
Then, once you've hung out a few times one on one, you hit them with a heartfelt "hey man, great hanging out today, this is kinda weird to say, but I want you to know that I'm really grateful to have you as a friend". Think of yourself, would you allow yourself to grow closer in friendship with someone you weren't sure wanted the same thing? Realising that someone you considered a close friend doesn't feel the same probably hurts at the same level as romantic rejection. That's why the earnest declaration that you consider them a close friend works so well, it alleviates their fear that their friendship will not be reciprocated. People do want close friends, they're just afraid to hope.
JhanicManifold
7mo ago
Ben Shapiro also makes the point that they drop "knock bombs" before the real bombs, the only purpose of those bombs is to shake the building to tell civillians to evacuate.
JhanicManifold
8mo ago
Buying it on indiamart.com from India pharmacies, I haven't really had problems with importing it in Canada
JhanicManifold
11mo ago
I might have fucked up one of the easier ones, but gotten avulse correctly. That would explain things if difficult questions are worth more.
JhanicManifold
11mo ago
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.
JhanicManifold
11mo ago
Athens was filthy. Almost every building is completely covered in bad graffiti up to a certain height.
And don't forget the brothels... they're called "studios" there, and there was a truly surprising number of them when I went last summer.
JhanicManifold
11mo ago
The recommended dosing has you slowly ramp up the dose over like 2 months until you get to the truly effective amounts. I suspect that you would get very large gastro-intestinal side-effects if you just went from 0 to the effective dose. Semaglutide also has a very long half-life of a week, so if you're injecting 1.0mg/week steadily, to get the same blood concentration with a single injection you'd need 2.0mg. I think it would be a fairly bad idea, there's a good chance that the diarrhea and vomiting you'd get would wipe out any mental benefits from the lack of hunger.
This probably has to do with sleep quality, the 4 main things that I've noticed make a noticeable difference for me are
stopping caffeine
magnesium supplements before sleep
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
A weird vibrating ankle bracelet called the Apollo Neuro that works kind of by magic (see this)
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