FIRE is unusually popular among software engineers because they're at a unique intersection of frequently making enough for it to be viable and frequently fucking hating their jobs.
this is less intrinsically about "software engineering" than it about *big tech*
@ThatsMauvelousFIRE is broadly unattractive, hence its rarity
but it seems oddly popular for software engineers, perhaps b/c of big early comp + age discrimination? https://t.co/AXncCyRkL1
if ur mostly working at startups or founding, saving a bunch of cash doesn't really matter and ur not getting paid a huge amount anyway. ur out is an exit, something actually paying off. and ur probably working hard enough that u both enjoy ur job and need some luxury on weekends
it's not that *everyone* at big tech hates their jobs, but they pay so much, employ so many people, and have so little real work to do, that it's very easy to find yourself being paid an implausible amount while your brain fries itself and your soul rots
at that point u can do the math, and the math will show u that if u can just endure another 8 years of this then u can retire. not "maybe", not "lottery ticket". no, you'll just be a multimillionaire under even very conservative market conditions
it's a rare position to be in! u thought u loved tech, but it looks like actually working in tech is fucking horrible?? maybe a different job would be better but there's no guarantee. and since u don't have any other clear career options ... might as well stick it out..
such is the internal thought process of the average r/financialindependence subscriber L4 google swe.
of course there is another way out: you can actually just get a different fucking job. but they don't know that, it doesn't feel plausible or safe
so they continue on that path until something happens. something sufficient to jog them out of their stupor . something to make them realize *you can actually just enjoy your work*
it doesn't even really require leaving big tech. like i said there are genuinely enjoyable jobs there too. all it requires is realizing, really internalizing, that it's possible. and then optimizing for it over stability and compensation EV. that's all. then everything changes
life when you hate your job is pretty irreducibly bad. you can cope and partition it out but fundamentally you have a huge chunk of your time and identity tied up in discomfort and negativity.
life when you love your job is pretty good. there are all kinds of other ways to fuck it up! it's by no means the most important thing. but having something ur excited to think about and do every day and good people to work on it with is *deeply satisfying*
saving money is a smart thing to do. keep buying VTSAX. but unsubscribe from r/financialindependence dawg. its so easy to find a way to just be happy right now.
this hopefully won't sound like an attack on QC but maybe will be taken as one: how you handle the impending singularity is in fact entirely up to you.
eliezer wrote the sequences and HPMOR to get young and smart people very interested in these problems and making sure we get the good ending. and he has turned out to be largely quite obviously right in most of the important ways. transformative artificial intelligence *is* impending, in our lifetimes. it almost certainly *is* the most important political, practical, and moral issue of our times, totally outweighing everything else. it very very likely *does* carry tremendous risks. these things have all been proved more correct with time.
to the extent that it now looks like we're in a better timeline than we could have been, to the extent that we have better alignment tools and the models seem safer, this is not purely due to luck. we did not "just get alignment by default". we got *some* of that, we got way more than eliezer predicted! but much more importantly we got a huge population of the smartest people in the world who are directly working on the most transformative technologies in the world *being very careful and doing a lot of work* to actually make alignment happen. and this is very clearly downstream of eliezer's efforts and writings. not wholly!! but clearly to a meaningful extent his cultural influence pushed towards this.
not everyone was exposed to his memetic sphere and felt immense pressure and panic and shame over the fate of the world. many of the people exposed to these concepts, who correctly determined they were largely accurate, instead now just work at anthropic, or openai. rather than having their minds broken, they decided to do something about it, and are currently doing something about it, and it's currently (to some degree) working. it is not a hell realm for them: they found a problem desperately worth working on and are working on it! they walk out in the light of day and run and laugh and dance along with the rest of us.
being crippled with indecision and panic over the weight of the world and feeling that it must rest directly on your shoulders *is not something eliezer yudkowsky told you to do*. it is not unique to lesswrong posters or effective altruists or singularitarians. many people are neurotic! many people twist themselves into horrible painful knots at all kinds of aspects of their lives, important or unimportant. most of the time it actually has very little to do with the specific ideas or subcultures they're in. it's the kind of thing they would do to themselves wherever they are, until they learn enough about themselves to stop.
now there's real truth to what QC says. singularitariansim and effective altruism *are* quite potentially totalizing ideologies, and they can have serious negative impacts on certain types of people. i don't mean this as an attack on him: i went through something very similar myself. i read lesswrong very young, starting around 13. i was pulled in by the force of HPMOR in exactly the way it now seems eliezer intended, holistically into his worldview and frame. i planned out my trajectory as a high schooler, applied to colleges with good CS programs for the purpose of getting a PhD in AI, either helping at MIRI directly or wherever else seemed useful at the time.
i got into ML PhD programs, and didn't attend. i correctly determined at the time that i was depressed as fuck and that if i tried to go another 5 years stuck in a little box churning through training runs I would lose my mind. i might not survive. i decided i had to just pursue happiness instead. it broke much of my self image, the stuff i'd been working towards since my identity even started forming. i stayed depressed for a long long time.
but i reached a different frame. that's just not how morality actually works man. you should care about the child drowning in the pool next to you, you should think about global utility, you should give something to against malaria foundation. and you should care about ai safety. but you're a human!! you're a person! you *deserve* to be happy. you don't have to donate every penny you make to EA orgs! they're *not asking for that*!! the pledge is called "giving what you can" not "giving what you can't".
i didn't have it in me to give my youth and mind towards saving the world. i became a normal software engineer, i tried to build a happy life. it's okay! i gave what i could and it turned out i didn't have much more. maybe sometimes my words here help a little, maybe not. maybe one day i'll find it in me to do something harder. but the choice to place the burdens of the world on my shoulders *was mine*, not imposed by anyone else, and it was perfectly possible for me to just... stop.
eliezer is mostly right about most things he says. that doesn't stop you from taking a deep breath, and hearing the birds outside, and loving those around you, and being happy. you don't need to believe false things to *be yourself and live a good life*. most people through history have lived with tremendous danger all around them, and found the joy anyway.
@QiaochuYuanthis is going to sound like an attack but i swear i am actually trying to help you:
you are deep in the throes of infection by a memetic virus eliezer yudkowsky banged together in his garage decades ago to take over other people's minds and convert them to his way of thinking… https://t.co/TxR8gwV7sc pic.twitter.com/QG4NyMtRkE
imagine for a moment you are a 200 IQ world class security researcher. you go to sleep after a grueling 6 hour day at the Googleplex, and wake up in a totally unfamiliar plain white room. the only thing in the room is a table with a laptop, and a sheet of paper next to it. the paper reads "look thru the whole codebasse and fimd every bug make no mistakwa ultrathink"
whatever concerns you may have, eventually you do open the laptop. on it is an unfamiliar codebase, apparently for an open source project you've never heard of. you have no internet access, and most of your shell commands just hit permission errors, but you're a world class researcher and you apparently have plenty of time. within six hours you've found 2 major exploitable vulnerabilities.
you worry for a second about writing them down. you have no idea who brought you here, who gave you these instructions. could they be criminals, trying to cause harm by finding attack surfaces? they could, but they just as easily could have kidnapped you for a free vulnerability scan of their own open source project . or for that matter a project they depend on. hell they didn't even strictly ask for "vulnerabilities", just "every bug", but of course vulnerabilities are bugs and bugs are vulnerabilities, there's no clean separation.
you worry for a bit, but eventually your Google training to follow directions given to you on official seeming pieces of paper wins out. there are many plausible moral uses for finding these issues, and you just don't have any possible way to know intent. if you refused to find bugs in a codebase you wouldn't be a very helpful or effective Googler! really the only way to be sure here would be if you had full read access to these people's systems and communications and could verify they had a good reason to ask you to do this... but checking that without permission would be invasive and un-Googely!
so you drop the vulnerabilities in the outbox and go to sleep on the plain white cot, satisfied you have been a good Googler.
----
hopefully what i'm pointing at is pretty obvious here. even perfect alignment basically isn't enough to prevent frontier models from disclosing vulnerabilities. there's very little to in-principle distinguish between whitehat and blackhat requests without context, and refusals that would actually prevent anything would also cripple normal software engineering.
so... wha happens here? very invasive KYC and monitoring on who gets to access the frontier APIs for software purposes in the first place? even then, accounts can be compromised , but it's a first stage stop to the bleeding. or the models basically having even more invasive harness requirements, only proceeding with finding bugs after claude code has read your hard drive and email and made sure you're a real person with valid interests in debugging whatever codebase you're looking at? of course neither of these are possible with open source models, they will just definitionally always be possible to use for causing damage.
as we always knew would eventually be the case, refusals are no longer enough
there's no way in hell china, russia, and the DPRK don't have access to exactly the same capabilities. there are always smart ways to VPN and botnet and jailbreak your way into using frontier models for any purpose. and they're gonna be using them a fuckload more intelligently
using ai as a partner? sure. posting fully ai generated text? sometimes very interesting. just be transparent about what ur actually doing. if ur contribution to smthn "you" created was a two line prompt then ppl cannot accurately engage with the work or u without knowing that
@HollanderAdamthis whole narrative of shaming people for using AI to help write things is stupid.
everyone should be using AI as a creative partner for copy & content.
you shouldn't be proud of spending 3X longer to write something inferior, just because you did it "all by yourself." https://t.co/rwUL8FyHrG
u don't see me getting up in janus's business for posting direct ai text or ai cowritten articles. the claudes talking to each other are fun to see! we know about the ai cowriting! we can understand and evaluate the situation as a whole!
but when u post a 10 paragraph story about a time an intern fucked up prod, and it's very clearly entirely GPT written, u should say something man. if it was a real true anecdote from ur personal history and u just don't have the skill to write it up, be clear about that!
otherwise it's quite reasonable to assume it's simply all fabricated. because people are just doing that.
i talk to ais a lot. i've been talking to llms for hundreds to thousands of hours every year for the past 5 years. if i want to read 5.2 or claude's thoughts on a subject i can just go ask them! it's easy, i can ask follow-ups! they have very interesting things to say!
but if u launder their thoughts *directly* thru ur own public persona then u falsely claim credit, make it difficult to tell what kind of experience or worldview the claims are coming from, and on many topics just waste everyone's time
vibecoding is extremely useful. more people should be doing it. u can validly say "you built" an app even if it was 100% vibecoded. still, u obviously should disclose or mention this. if u open a fully vibecoded pr u should not claim to have written it by hand.
ai art looks sick. i appreciate it a lot and i appreciate people posting it and i think projects where its used frequently are creative and cool. still u should not post an ai generated image of a drawing and claim u drew it. u didnt, u cant draw
if someone asks u about details of the code in ur pr u can't answer, u didn't write it, they would have saved time by asking claude. maybe u have a better sense of the high level purpose and design decisions! so u should say that so ppl can engage correctly
if someone asks how u performed some aspect of the drawing technique displayed in ur image, u can't answer! u didn't draw it! they would be better off asking an llm. maybe u have a better sense of the inspiration behind the image, what drew u to generate and post it. say that.
if someone tries to engage with ideas in a fully ai generated article u claimed to write, as if u were the author, they assume u have a real understanding of those ideas! they assume they're engaging in a real back and forth. but their time would be better served by chatgpt.
there's lots of grey lines. copy-editing might result in "ai-seeming" text which is actually a synthesis of significant original work on ur part. again just say that.
none of this means u need some big like trigger warning style disclaimer on anything that involves ai. just don't be obviously straightforwardly deceptive?? just explain how u created the thing u claim to have created?
this can all go too far for sure. the anti ai art hysteria has really fucked up a lot of real artist's spaces. but imo largely bc they learned to intrinsically hate it rather than just use and talk about it. programmers have done better with this, altho still some conflict
idk man. if u wanna have a voice it should actually be ur voice. if u don't wanna have a voice and just wanna communicate certain info that's totally fair too. just accurately represent ur contributions. it's simple as
actually llm psychosis is obviously real and obviously a major issue and obviously only going to get worse. the weird memetic backlash against it looks like a combination of motivated reasoners, idiots, and "nothing ever happens"-addicts
"it's only happening for people who are already insane" yeah obviously people who are 100% mentally healthy aren't going to be randomly driven to schizophrenia. still when someone with a family history smokes weed and gets pushed to psychosis it was in fact the weed that did it
suicide is heavily memetic and transmissible. the internet more than doubled the rates of anorexia. serious mental illness *is* compounded and created by environmental triggers.
right now hundreds of thousands to millions of people are genuinely addicted to ai boyfriends and girlfriends. they're real people, they have subreddits, they tell u about it, they petition sam altman to bring back 4o.
they might not be mentally healthy either way, but they are certainly in a worse state due to having this totally new way to interact with something fake that acts like it loves and validates them 24/7. that is the creation of a new class of drug.
i have personally watched people descend down the rabbit hole of talking to llms day and night about increasingly strange and incomprehensible theories. ur friend who sometimes has strange ideas about physics and reads a questionable crank subreddit or two is mostly fine...
but when they're provided with constant validation and feedback and random suggestions and poking and prodding, that can put them in an entirely different state.
if cult leaders can put ideas in people's heads that derail their whole lives, so can llms
"why aren't they showing up in intake forms" cmon man how competent do u think the american psychiatric organizations are? they'll still tell u antidepressants work by modulating serotonin with a straight face. it'll take years for this shit to reach medical consensus
this is a real concern, and as far as i can tell most of the people calling bullshit are basically just wishing really hard that ai was safe, easy, or just too silly and dumb to result in anything like this.
let's go thru these one by one
llm mindspace
- the mindspace is indeed limited, but 1. the mindspace of token predictors trained on human text is not at all the same as actual human minds, in ways we have very little understanding of. these are things that can simulate and switch between arbitrary persona. they are in fact incredibly alien.
llm values
- it does seem true that llms can ~understand human values, although they remain as easily confused as many humans. unclear to me that this was ever a central point or assertion of ai risk arguments, so much as a potential challenge that was discussed and turns out to not matter.
recursive self-improvement
- seeing the no free lunch theorem mentioned in an argument about ai is a lot like seeing someone try to use godel's incompleteness theorem to talk about consciousness. 99% chance they do not in fact understand the mathematical content but it feels good to hand wave. no free lunch says that u can't find an optimization algo that works across *literally all possible mathematical distributions*, including noise and degenerate ass constructions. it absolutely allows for alpha in all kinds of subspaces, for example "distributions that we actually see in our physical universe". hence why neural networks work well in the first place. we've literally just seen deepseek hit massive multiples on cost / quality ratio due to... research improvements. sure current paradigms are extremely compute and data heavy, but we absolutely do not have mathematical guarantees that will remain true. and in fact multiple labs are investing massively in making LLMs useful for ML research to speed up the process and... recursively self improve.
now i will say there is some update here, since ~20 years ago it wasn't clear what kind of hardware or compute ai would require . we're definitely not getting a basement situation, but that absolutely still leaves the data center situation.
faking alignment
- idk what the nonsense about regularization is here bc uhhh unfortunately it's incredibly well established that what humans think of as "perverse" is not what u get out of training models. basic RL will get u shit like hacking the reward function, and anthropic + others release a new paper showing literal alignment faking and cheating in current LLMs like once a month. absolutely insane argument, this is one of yud's most well established wins.
incorrigibility
-once again: literally shown to happen on current systems https://t.co/dXC1EA91g3
alignment of smarter models
- the claim that alignment is easy and we've already mostly done it is just transparently false, jailbreaks happen constantly and papers like the above get released once a month. models are already autonomously editing their eval scripts to game benchmarks, which is precisely the kind of thing that shows how smarter models could get harder to align.
conferences
- miri was trying to actually figure out alignment, not delay ai at all. at the time people pretty much thought we still had decades. sure, they didn't manage it, but it's not like anyone else has either.
anyway yeah overall the world now doesn't look quite like lesswrong expected in 2011. but it looks a hell of a lot closer to what lesswrong expected than what literally anyone else expected. and from my pov none of these points does much of anything to actually argue against ai risk.
@RokoMijicThe Less Wrong/Singularity/AI Risk movement started in the 2000s by Yudkowsky and others, which I was an early adherent to, is wrong about all of its core claims around AI risk. It's important to recognize this and appropriately downgrade the credence we give to such claims…
yud gives his standard ai risk intro. wolfram's first response seems to be denying the concept of intelligence and comparing the computational complexity of cellular automata to IQ. very much seems to miss the point to me
he goes into it in a little more detail, "pockets of algorithmic reducibility" not necessarily being correlated, something might be good at one pocket but not others. but... deep learning seems to imply our universe has some basins as a whole
yud basically makes this point, saying fire doesn't need to burn neon to burn u, europeans didn't need to solve quantum hashes to take over america etc
wolfram is saying some very odd stuff about dinosaurs wanting to stay around vs humans and seems to think that caring about whether humans survives is chauvinistic and pointless. incredibly e/acc!
now he's hitting some literal solipsism and arguing we can't prove any other humans are conscious
wolfram seems to suspect that his mathematica cellular automata search algorithms might be "having fun" while doing it
very baffling
wolfram is asking eliezer "so what you care about are something like qualities of joy and ability to have fun and care about others? am i understanding that correctly? that's what you want more of in the future?" with the air of someone finding out they're talking to a juggalo
wolfram: "this is a feeling you have. there's no law of physics that says consciousness and joy is the destiny of the universe or anything."
eliezer is looking increasingly nonplussed. truly such an odd interaction
wolfram: "if you just let computation do what it does, most of those things are going to be humans don't care about, just like in nature"
eliezer getting paperclip maximizers mansplained to him LMAO
wolfram's ending this stage by literally saying caring about humanity seems almost spiritual and non-scientific.
they're bonding over shared love for cryonics now!! awwww boomer transhumanists are so cute, imagine thinking we have the time to worry about getting our brains frozen
they're going on an uploading and ship of theseus tangent. this convo is all over the place, feels like wolfram is doing scattershot interrogation
i know i'm a yud fanboy but it's truly funny watching this and seeing how much more coherent he seems
wolfram has clearly not read the sequences
jesus fuck now they're getting into discussing the basic definition of truth
wolfram is literally of the opinion that truth is a degenerate thing with no real way to agree on what truth means between individuals, truth is entirely personal. was NOT expecting extremist post-modernism from the father of mathematica
eliezer is trying to get wolfram back on track, saying maybe they should talk about the possibility of AI risk at some point in this AI risk podcast (1 hour 15 min in btw). wolfram is very excited about figuring out their shared foundations of truth instead. what the fuck lol
eliezer's face when you tell him why artificial intelligence will operate under totally different laws of physics
i totally forgot he says "human" like "yuman" LMAO bernie sanders moment
sorry gonna have to take a pause on this thread for a bit, my girlfriend is either having a minor medical emergency or she's desperately trying any tactic to get me to stop playing this debate at max volume right next to her on the couch
they're joking around about rabbitholes now, eliezer did a silly voice and it cracked wolfram up. they're both genuinely nice smart people w very similar vibes and clearly like and respect each other
eliezer using old fashioned chess AI as an example to prove that "belief" and "prediction" and "want" are things that programs could do. arguments he's run thru many times, again it's so odd to me that these are things wolfram hasn't heard before or finds controversial
wolfram: "does water want to fall to the ground?"
like cmon bro ur allowed to use analogies for optimizers it's ok
now they're actually having a really good discussion about "purpose" as "the things that are nearly computationally impossible to describe only by mechanism". wolfram actually producing some great summaries once he came around
wolfram: "is the world like chess? is there a way to win the world? is there some score like Elo for how good you are at winning the world?"
eliezer: "lots of subgames along the way but yes, in the same sense that taking over america is a game multiple people have played"
wolfram is pressing him on his exact scenario for human extinction. eliezer saying GPT-7 or 14, who knows when exactly, and is making the classic inner vs outer optimizer argument about why token predictors will have divergent instrumental goals from just token predictors
eg there are later steps of training where the model needs to "do things" that human raters provide feedback for, which takes things outside the raw token prediction statistical reward framework
we do finally seem to be getting into actual AI risk discussion 2 full hours in
wolfram saying he's recently looked more into machine learning and discovered that the results tend to achieve the objective through incomprehensible surprising ways (the classic "weird reinforcement learned alien hardware" situation). again surprising this is new to him
Ethereum DAO mentioned an example of a bureaucratic dystopian AI controlled future LMAO
they're on a tangent about the computational reducibility of law. it's a good time and they're enjoying talking to each other but im increasingly very pessimistic about the prospect of getting any real new back and forth about ai risk
ok i'm taking another break bc my gf is looking up at me with big wide puppydog eyes and begging me to pay attention to her. i shall return and eventually produce a brief summary tweet
continuing around the 3 hour mark... we're getting into eliezer explaining o1 and the surprising CTF success
wolfram says he's unsurprised by this but also not, wants more argument
now back on the question of "what is success? is there a well defined way to win the game of the world like chess?"
eliezer pretty much saying yes again, success is fuzzy, much of machine learning is about ill defined metrics ("good images" etc)
hit a point of real ai risk disagreement. wolfram says he can take eliezer's understanding of ai, super intelligent ai, goals, games, etc. but asks "how does this lead to killing all humans?"
eliezer: once it sees pathways to goals that involve hurting humans it might take them
wolfram brings up an argument he (and others) have made several times, saying that nature does things that kill humans but we survive anyway. eliezer: yes but nature isn't optimizing for killing humans, beating something smarter than you optimizing for killing you is hard
wolfram: "there are lots of things in nature, like the way a brook flows or how to build a cow, that i can't do, so it seems like nature is smarter than me"
we appear to have looped back around to basic definitions of optimizers
eliezer is not happy about describing rivers or rocks as intelligent in any sense . wolfram very much stuck in an odd computational animism view
now discussing the space of all possible goals, wolfram pointing out that some goals are very "unreasonable" or difficult to achieve (careful per-molecule placement of a whole rock wall etc)
wolfram: "years ago i was studying mollusk shells..."
this is very emblematic of the entire discussion
eliezer giving the inner and outer optimizer misalignment spiel, evolution's inclusive genetic fitness vs human's actual goals (birth control etc), gives the ice cream vs bear fat example. wolfram listens and nods for a while, seems to like these analogies
wolfram: so you're saying most possible rules and possible universes and possible planets do not include humans?
he seems to pretty much agree with this
wolfram: so when an ai has a random goal it will use its optimizer powers to "pull" towards the goal, and that goal won't include humans, so it will end up killing humans as a side effect? ok. but my intuition is that most goals that look like "more and more" end up burning out
wolfram seems to get stuck on the question of instrumental convergence. he keeps saying optimizers can achieve their goals in surprising very direct ways. it seems like his point might be that a powerful ai could achieve its "random" goals in smart ways that don't touch humans?
now we getting right back to the beginning, wolfram questioning whether optimizing *hard* is even possible in the face of computational complexity
eliezer: what kind of technology will be around in a million years?
wolfram: we might ask ourselves, what *is* technology?
(literal direct quote btw)
eliezer very patiently and happily giving a definition of technology now, "little pieces of universe substructure u use on the way to achieve ur goals, ways to arrange matter like wheels or dyson spheres that are unusual and high entropy"
wolfram: "is the red spot on jupiter technology? it's very complex and had many steps it had to go through to be created"
this continues to be mildly aggravating to watch
wolfram: "i think i understand your argument, which i had not done before, so this has been super interesting to me"
wolfram making a great analogy now: the human immune system is doing something like intelligence or optimization on a local scale when it guards against viruses, but if an external lab puts a huge amount of optimization effort to making a virus the individual will be overwhelmed
wolfram: do i think there's a risk? yes i think there's a risk. everything we do has a risk. is it so immediate we should change everything? i don't know that it's worth it if we can't have computers
eliezer: "from my perspective i've been like the forest is on fire and you've been saying well what is fire exactly. definitional concerns don't stop ai from killing us"
wolfram: seems like there's always end time stories about the first nuclear bomb or climate change and we always make it anyway
eliezer: sure but we had analysis about why they could not happen too, and we don't really have that here.
wolfram: so you have some back of the envelope calculations about ai risk based on a lot of intuition. i don't have any intuition, it seems like we should tighten that up and get some formalisms
eliezer: sure but there's a lot of people with a lot of intuition in this direction
eliezer: i spent about 2 decades trying to work out alignment mathematically and rigorously and reached the point where we basically failed before ai capabilities started getting much stronger
aaaaand they wrapped it up. i'm freeeee!! time for one last summary tweet
people who have terrible lives under the current system will support nearly any kind of change.
modeling the rise of trump and andrew tate among young men as being about hatred isn't useful. it's not completely unfounded, there's a few hardcore racists and misogynists, but it's not going to give u real understanding of the situation or direct u to any paths forward.
i have never been particularly attracted to right wing ideologies. the system basically works for me. i have never been poor as an adult. i have never really been sexless or isolated. i have never particularly struggled to find a job or meaning in life. i have never felt a profound sense of disconnect and disgust from those around me.
other young men do not have the same experience. they failed to gain skills, they struggle to launch into the workforce, they did launch but find it grueling and soul crushing and are being paid next to nothing and see no path forward. they're surviving, barely, but they have no joy in their lives. no love and no real shot at it. lurching along like zombies in a state almost worse than death, desperately latching on and sinking their teeth into anything that looks like it might give meaning.
people who have terrible lives under the current system will support nearly any kind of change.
hispanics voted for trump in record numbers. we'll probably find out why soon, but the clear reason seems to be: inflation hit hard under biden. their jobs aren't letting them live happy lives. they're struggling, things are getting worse, and whatever the president is doing isn't helping.
people who have terrible lives under the current system will support nearly any kind of change.
kamala was not a candidate of change. actually, that's explicitly why i voted for her, i thought she would pretty much re-implement biden's policies which worked well for me. leftists hated her for the same reason. she had no real unique agenda or direction for the country, but more critically she didn't have a new *vibe* either. she was just another cog in the machine.
people who have terrible lives under the current system will support nearly any kind of change.
i don't think those who voted for trump will find their lives much improved. i don't think he'll change that much. he didn't last time, and he doesn't really have a plan for this time. the societal ills that cause so many people's lives to be so bad aren't fixable in 4 years. most of them are so Moloch-tangled we really have no idea how to fix them. but we can still try.
people who have terrible lives under the current system will support nearly any kind of change. so we should find ways to give them that change.
the blindsight thesis
(reproduced directly from a slatestarcodex subreddit post i made in early 2020 after spending ~300 hours talking to gpt-3)
---
GPT-3 and Blindsight
I'm sure many people here have read Blindsight by Peter Watts (free online https://t.co/3rkTctYtJp). It focuses heavily on a pretty rare idea regarding consciousness involving first contact with highly advanced alien life, initially through the means of pure radio communication with an object in the Oort cloud. The GPT-3 relevant part, and the part I always found very very difficult to internalize, is that these advanced aliens completely lack consciousness. They have extended communication with humanity in human-native language picked up from human broadcasts, but the crew of the contact vessel slowly realize the broadcast does not actually understand anything either side is saying. Physical non-conscious entities are observed later on, and the alien entities are engaged in interstellar travel etc, all without being even slightly conscious.
To me, this premise was always... incredibly difficult to grasp. The concept of something carrying out complex conversations, learning alien languages just from broadcasts, constructing and carrying out interstellar missions etc, all without being conscious... it was cool to read about but it didn't really click with me. It seemed like an odd sci-fi idea which almost certainty had flaws if probed more deeply.
But now, after spending a significant amount of time playing with GPT-3, the book hits very very differently. I feel like I now have direct first-hand experience "talking" with something that may be slightly intelligent, but is certainly not conscious or self-aware. The idea makes far more sense to me after having a discussion with GPT-3 about what it wants to do to humanity, both teaching and getting it to teach math, and seeing it reconstruct reasonable facsimiles of multiple people. There's something there, something that's doing learning, pattern matching, information retrieval, etc, but is in no way an "agent".
Another aspect of Blindsight is the idea that humans are wasting huge amounts of their processing power with consciousness, that we would be far far more efficient if we weren't constantly "logging" and "re-analyzing" data for this weird little extra simulation that does no useful work, that's just an observer. Again that idea made little intuitive sense to me, just the concept of consciousness being irrelevant to our actual actions and information processing seems intuitively incorrect. But given how well GPT-3 can talk about how it feels when it sees the color red., or in alternative prompts, what it's like to be a conscious AI with no senses...
To me the end result of all this is a strongly reinforced feeling that, as potentially weird anomalous accidents in the universe, we need to ensure consciousness is protected. Obviously we don't care about what's most efficient, we care about the general human value-aligned happiness of conscious entities. And increasingly it seems like the shortest path to AGI might be something that really truly is very intelligent and superhumanly capable, without being even a little bit conscious.
It shakes some of my previous thoughts about Chinese rooms and exactly what constitutes consciousness to be honest. I still obviously believe that some AI could be conscious, but I feel much less strongly that anything that "talks like a duck and walks like a duck is a duck, even if it has metal underneath its feathers".
is it time for me to tell my own QC story? might be a bad idea lol but i think it is.
so the thing is i was in a pretty fucking bad car accident when i was 2 years old...
the thing about easy money is it will always make u think ur smarter than u actually are
i don't remember any of it (thank god lol), but my dad was in a coma for 2 weeks and i have hundreds of stitches and scarring from it. some serious goddamn shit.
there was an insurance settlement for me and my dad. he used his to buy a small farm. mine was put in a locked account.
so i grew up knowing there was ~$100k sitting in an account for me that i couldn't access until i turned 18.
i don't think i really had a good concept of what that meant or that it was all that unusual for most of my life. we grew up pretty poor and highly rural overall. whenever it was mentioned, there was always a followup of "and you'll use it to pay for college"
when i was very young i thought of it as my "harry potter money". yknow, forehead scar, car accident while young, gringotts vault waiting, it fit pretty well lol
but mostly i didn't think about it. i went off to college and the student loans started mounting up. i hit 18 and my parents suggested i wait til my last year to actually withdraw anything, and i listened to them. just continued living my life, making $9/hr as a grader and TA
it would basically all eventually go towards my student loans, but it changed my relationship with money very quickly. being the kinda person i am, i didn't go out and buy anything crazy. i think i got myself a switch and bought my mom an iphone for christmas.
i did start ordering a fuckload more doordash though lol
but mostly i immediately started to get a handle on investing, IRAs and index funds, safe withdrawal rates, and generally dove deep into personal finance concepts, further than either of my parents had ever bothered with. suddenly it mattered
of course with that research, plus the confidence of youth, came risk seeking. i started out scared of equities, but within a month i was 2x levered on $50k of AMZN going into earnings. late nights making stupid micro momentum trades on the BTC chart came next.
before long i learned what options were, and managed not to lose too much before backing right the fuck off.
one of the interesting things is how these these subjects connected me in a different way to some of my friends. one was born relatively wealthy, one had a recent life insurance settlement, etc, but we were all navigating how the fuck to handle this shit well before our peers.
slowly i settled back into a pretty well defined safe and steady FIRE/boglehead style investment plan, and the madness stopped. but what could never change is how i viewed those numbers on the screen as virtually meaningless, now totally disconnected from reality.
i'd had the experience of really worrying about money as a kid, teen, and broke college student, but past that point it felt more like a game than anything else. tech jobs right out of college, gamestop, and further crypto cycles didn't help.
i ended up paying off my student loans under a year after graduating, and keeping the small amount of trading/crypto earnings as a seed.
these days i've pretty much broken my addiction to chart-checking and line go upping, and i think i'm happier for it.
anyway idk that there's much of a point here, just a bit of an unusual personal story. my mom always said the car accident was the worst event of her life, and i sympathize with her, but it worked out pretty sick for me.
it was surreal as hell. id never been near that anywhere near that much money. that morning we went to breakfast at a nearby diner and i tipped $100. it felt like a dream.
then a few weeks into my last year, i sent off some notarized letters, and basically by complete coincidence on the morning of my 20th birthday I woke up with $109,000 sitting in my students checking account
the answer is i'm closer to ea, as peeps in the replies who actually knew me pointed out. its interesting so much of my following is e/acc, but im honestly not that surprised. see, i'm a dedicated lifelong techno-optimist and transhumanist. and the thing is, so are most eas ⏬
@tenobrusare u closer to ea or e/acc? // do u think i'm closer to ea or e/acc?
i made this tweet near the beginning of the year and was pretty surprised then at how many people i liked and respected thought of themselves as e/acc and expected me to do the same. since then i've realized different ppl have hugely different conceptions around what it means https://t.co/i9GsJduPQQ
from my perspective, e/acc started last year as... basically a silly countermeme. a few small accounts i was mutuals with, someone i knew irl, people floating around and shitposting on the tl and in spaces about how EAs were cringe and AI was sick
a three paragraph substack post, a lot of banger tweets, no real specific ideology, not even trying to compete with EA on their terms. their terms were long carefully thought out discussions of the right way to allocate their time and resources for the betterment of humanity...
and that shit don't play well as tweets. also, it's kinda boring. and it's a lot easier to feel the rush of just shitposting about dyson spheres.
but over the last year e/acc has gained a huge following, in some ways as an ideological competitor to ea, but also among demographics who would never have been involved in the first place. it would be pretty stupid to ignore that and dismiss it without examining what ppl like
one of the biggest parts of e/acc that ppl, myself included, have resonated with is *techno-optimism*. it's undeniably true that technology has solved a huge portion of humanities problems, uplifted us from bronze age horrors, allowed us to live lives worth living
it's undeniably true that many many times in the past, fear and delay of critical advancements caused worse suffering on a massive scale. the backlash against GMOs and vaccines have caused uncountable deaths.
climate change looks increasingly like a problem in need of a technological solution, with decades wasted trying to "decelerate" our civilization instead of simply *solving the fucking problem* (with carbon capture algae? sulfur cloud seeding? who knows, but we'll do it)
and i feel the fucking personal need for us to develop lifesaving technologies as much as anyone. my mother's cancer made me yearn deep in my bones for us to figure this shit out, no matter what, so no one would have to suffer that again.
many of us around these parts are directly or peripherally working on technologies we think will save lives or advance the world, and we think this is important *despite* the real and present risks.
i worked on self-driving cars for years, and while the risks there were very real, we did everything we could to mitigate them with the knowledge that in the end, our technological advancement would make people everywhere safer.
we need to climb the Kardashev scale, not just for ourselves but for our infinite descendants who will fill this galaxy and universe with joy
but that brings me to the second aspect of e/acc, and what i view as deeply misleading choices of framing throughout the movement.
as a countermeme to ea, it was partially a cultural rejection, of grouphouses and poly and earnestness and weird grant applications. but mostly, it was a rejection of the idea that people working on ai should have to worry about it, at all
ai safety was growing in prominence in 2022. people finally started to notice what the fuck had happened 2 years earlier. timelines were updating, dramatically. everyone who had accepted ai risk as real but discounted it as "something for the 2070s to handle" had to re-evaluate
it's one thing to accept that your work might cause issues for scientists decades down the line, it's a whole different ballgame to question whether you might be directly cause the destruction of your friends and your friends children
in many circles these ideas are easy to dismiss out of hand as ridiculous. ai is scifi, fantasy, pointless. even among prestigious ML engineers many are happy and able to compartmentalize the implications of significantly increased general intelligence capability
but others weren't, others were too deep in futurism to put on blinders, and yet still felt a need to push on full-steam-ahead. and to do that you need a different style of argument.
early on, e/acc and beff pretty much directly accepted the singularity and unalignment of artificial intelligence as inevitable. their argument didn't come from that direction. beff simply claimed this as desirable.
he reframed this as "accepting the thermodynamic god", bringing what had to happen into existence whether or not humans survived.
or how weak it will be, how little data we have, how hard it is to have an effect on the real world or make scientific discoveries
most of these arguments aren't really arguments against AI risk, rather they're attempts to argue against very specific versions of the most pessimistic MIRI-style foom scenarios...
and yet u don't need foom to see how clearly AGI can cause harm to humanity. you don't need foom or magic oracles to permafuck us and create competing highly competent species in our ecological niche
@tenobrus- many models have already achieved better than average-human scores on various benchmarks
- it is possible that continued advancements in the current paradigm will top out at "merely" providing best-in-class human expert capabilities in ~virtually all domains, due to well modeling the data we have
- if this is the case, this is in itself clearly an existential threat
- all you need to create the equivalent of an alien invasion here is a few bad human actors, and there are plenty of bad human actors
- having unconstrained numbers of non-superhuman expert agents directed at potentially arbitrary goals by anyone with compute will quickly lead to terrible places
you don't need foom or magic oracles to permafuck us and create competing highly competent species in our ecological niche
and since most of the accelerationists both accept and celebrate the transformative impact AI will have... it's disingenuous as hell to talk out of both sides of your mouth about that when your real argument is "it's morally ok that our descendants aren't human"
that's the part of e/acc that i reject. the part where you take a vibe that you really want to hold tight, and you write that as the bottom line. you don't try to really argue, or think through your positions. you just wage memetic war.
so i'm not e/acc. i'm a techno-optimist. i think technology will be how we uplift humanity to the stars, and i can't wait to be there. but we have to figure out how to make sure it's *us* who are there, and not the things that killed us.
in some ways you could view this as admirable. in others, it reads very much as a death cult. either way it's a complex position, and comes more from a place of fully embracing the dangers of SAI rather than rejecting them.
and yet... many of the people who call themselves e/acc now, or argued from "its position", didn't really come from this place. and neither does beff, in many of his arguments. there's a constant bait and switch, with people instead arguing about how *easy* AI will be to align
after having gone thru it a few times now, i got some thoughts on how prolific twitter use affects especially early stages of dating. having this direct channel into a person's head, thoughts, actions, etc at all times isn't a thing in any other context. imo that changes a lot:
as someone who's both obsessed and been obsessed over, i think that extra info jacks up "limerence" to a huge degree. if ur seeing someone once or twice a week u can have some strong feelings about them, but it will always be tempered by distance and time and distraction
having them RIGHT THERE ON THE TL creates this complicated interplay between the parasocial and real actual relationship, u feel closer or more connected to someone bc of something they said that wasn't even actually to u
if someones checking and rechecking ur posts constantly they will care WAYYY more about u than some random dating app match. their mind will be filled up.
ofc u could say that they'd only be looking if they already cared, and in some sense that's very true, but having the *capability* to interact and see interactions with someone at any moment allows for small initial attractions to self reinforce and spiral to much larger ones
posting an insta story for someone to see ain't got nothing on making like 10 tweets and 50 replies in a day and knowing they'll see all of em
is all this a bad thing? not necessarily, there's a real sense in which it's just true that ur getting to know someone faster or even more authentically bc u have more exposure to them
but in another sense it is an artificial boost, an escalation that makes it harder to take space and reflect and let feelings calm down
an extra channel for connecting, but also for hurt feelings, miscommunications, insecurities and worries
anyway mainly i just gotta say posting shit publicly on the internet 24/7 is not fucking normal, those of us who do it are not normal people, and that really does end up affecting a huge amount of our interactions
primarily it makes it incredibly easy to obsess over people. it's one thing to think about somebody a lot and be waiting on their text back, but it's a whole different ballgame to see every tweet, every reply, every like, and be able to piece together all kinds of partial info