What can be used to auth will be used to auth
One of the symptoms of our society's deep security inadequacy is the widespread usage of unsecure forms of authentication.
It's bad enough that there are systems which authenticate you using your birthday, SSN, or mother's maiden name by spec.
Fooling bad authentication is also an incredibly common vector for social engineering.
Anything you might have, which others seem unlikely to have (but which you may not immediately see a reason to keep secret), could be accepted by someone you implicitly trust as "authentication."
This includes:
Conventional advice directed at young people seem shockingly bad. I sat down to generate a list of anti-advice.
The anti-advice are things that I wish I was told in high school, but that are essentially negations of conventional advice.
You may not agree with the advice given here. In fact, they are deliberately controversial. They may also not be good advice. YMMV.
There is some good stuff here! And i think it is accurate that some of these are controversial. But it also seems like a strange mix of good and “reverse-stupidity is not necessarily intelligence” ideas.
Directionally good but odd framing: It seems like great advice to offer to people that going straight for the goal (“software programming”) is a good way to approach a seemingly difficult problem. But one does not necessarily need to be mentored - this is only one of many ways. In fact, many programmers started and expanded their curiosity from typing something like ‘man systemctl’ into their shell.
The first two points... I wonder what is the relation between "prestigious university" and "quality of your peers". Seems like it should be positively correlated, but maybe there is some caveat about the quality not being one-dimensional, like maybe rich people go to university X, but technically skilled people to university Y.
The third point, I'd say be aware of the distinction between the things you care about, and the things you have to do for bureaucratic reasons. There may or may not be an overlap between the former and the school lessons.
The fourth and seventh points are basically: some people give bad advice; and for anything you could possibly do, someone will find a rationalization why that specific thing is important (if everything else fails, they can say it makes you more "well-rounded"). But "skills that develop value" does not say how to choose e.g. between a smaller value now or a greater value in future.
The fifth point -- depends on what kind of job/mentor you get. It could be much better or much worse that school, and it may be difficult to see the difference; there are many overconfident people giving wrong advice in the industry, too.
The sixth point -- clearly, getting fired is not an optimal outcome; if you do not need to complete the school, what are you even doing there?
Tabooing the word, or tabooing the action? I'd love to read an exploration of what types of signaling one COULD avoid - certainly we can recognize and apply less weight to them, but many (the majority, IMO) of signals are unavoidable, because there are actual goals and evaluations they impact.
I think LW folks often underestimate the importance of serendipity, especially for pre-paradigmatic fields like AI Alignment.
You want people learning functional programming and compiler design and writing kernels and playing around with new things, instead of just learning the innards of ML models and reading other people’s alignment research.
You even want people to go very deep into tangential things, and become expert kernel designers or embedded systems engineers. This is how people become capable.
People really should try to not have depression. Depression is bad for your productivity. Being depressed for eg a year means you lose a year of time, AND it might be bad for your IQ too.
A lot of EAs get depressed or have gotten depressed. This is bad. We should intervene early to stop it.
I think that there should be someone EAs reach out to when they’re depressed (maybe this is Julia Wise?), and then they get told the ways they’re probably right and wrong so their brain can update a bit, and a reasonable action plan to get them on therapy or meds or whatever.
I don't disagree, but I don't think it's limited to EA or Rationalist community members, and I wouldn't expect that designated group helper contacts will reach most of the people who need it. It's been my experience (for myself and for a number of friends) that when someone can use this kind of help, they tend not to "reach out" for it.
Your framing of "we should intervene" may have more promise. Having specific advice on HOW lay-people can intervene would go a long way toward shifting our norms of discourse from "you seem depressed, maybe you should seek help" to "this framing may indicate a depressive episode or negative emotional feedback loop - please take a look at <this page/thread> to help figure out who you can talk with about it".
Sometimes when you purchase an item, the cashier will randomly ask you if you’d like additional related items. For example, when purchasing a hamburger, you may be asked if you’d like fries.
It is usually a horrible idea to agree to these add-ons, since the cashier does not inform you of the price. I would like fries for free, but not for $100, and not even for $5.
The cashier’s decision to withhold pricing information from you should be evidence that you do not, in fact, want to agree to the deal.
For most LW readers, it's usually a bad idea, because many of us obsessively put cognitive effort into unimportant choices like what to order at a hamburger restaurant, and reminders or offers of additional things don't add any information or change our modeling of our preferences, so are useless. For some, they may not be aware that fries were not automatic, or may not have considered whether they want fries (at the posted price, or if price is the decider, they can ask), and the reminder adds salience to the question, so they legitimately add fries. Still others feel it as (a light, but real) pressure to fit in or please the cashier by accepting, and accept the add-on out of guilt or whatever.
Some of these reasons are "successes" in terms of mutually-beneficial trade, some are "predatory" in that the vendor makes more money and the customer doesn't get the value they'd hoped. Many are "irrelevant" in that they waste a small amount of time and change no decisions.
I think your heuristic of "decline all non-solicited offers" is pretty strong, in most aspects of the world.
Did some math today, and remembered what I love about it. Being able to just learn, without the pressure and anxiety of school, is so wonderfully joyful. I'm going back to basics, and making sure that I understand absolutely everything.
I'm feeling very excited about my future. I'm going to learn so much. I'm going to have so much fun. I'm going to get so good.
When I first started college, I set myself the goal of looking, by now, like an absolute wizard to me from a year ago. To be advanced enough to be indistinguishable from magic.
A year in, I now can do things that I couldn't have done a year ago. I'm more lucid, I'm more skilled, I'm more capable, and I'm mature than I was a year ago. I think I did it.
I'm setting myself the same goal again. I'm so excited to hit it out of the park.
Completely fair request. I think I was a bit vague when I said "on top or around AI systems."
The point here is that I want to find techniques that seem to positively influence model behavior, which I can "staple on" to existing models without a gargantuan engineering effort.
I am especially excited about these ideas if they seem scalable or architecture-agnostic.
Here are a few examples of the kind of research I'm excited about:
If someone were to discover a great regularizer for language models, OSNR turns out to work well and I sort out the issues around strategic redundancy, and externalized reasoning oversight turns out to be super promising, then we could just stack all three.
We could then clone the resulting model and run a debate, ior stack on whatever other advances we've made by that point. I'm really excited about this sort of modularity, and I guess I'm also pretty optimistic about a few of these techniques having more bite than people may initially guess.
There's something really tyrannical about externally imposed KPIs.
I can't stop thinking about my GPA even if I make a conscious choice to stop optimizing for it.
Choosing to not optimize for it actually made it worse. A lower number is louder in my mind.
There's something about a number being used for sorting that completely short circuits my brain, and makes me agonize over it.
Yeah, most sane humans seem to have a deep-seated drive for comparisons with others. And numeric public comparisons trigger this to a great degree. GPA is competition-porn. Karma, for some, is social status junk-food.
This measure ALSO has some real value in feedback to you, and in signaling for future academic endeavors. The trick, like with any modern over-stimulus, is in convincing your system 1 to weight the input appropriately.