ok let’s say some dumbass PE fund comes in and acquires a company like Airbnb. it cuts 30% of employees and the site works just fine. positive earnings finally — only problem, it’s no longer a tech company. it’ll be valued at 15x earnings and disappear off anyone’s radar
there’s nothing that gives physics engine vibes as strongly as the deep open ocean. three dimensions of creatures stacked in every direction, flowing and evolving freely on a more or less uniform world map
it is truly crazy that the earth is like 2/3rd ocean by surface area and like 95% ocean by biologic semantic volume. proliferation in all directions, not limited to the flatland tiles
the lesson of a systematically important crypto institution blowing up and not much actually happening to ordinary people means again the entire thing was a separate casino economy unrelated to actual financial functions
@DCbuild3r I of course understand the distinction! nevertheless much of the exposure to the currently existing crypto economy is via large centralized exchanges, no?
over time a cultural empire like the United States becomes jaded. at its core, symbol shred. it has seen too much, believes in nothing, doesn’t reproduce. requires constant intake of provincial migrants from the imperial rim who still feel things
@besttrousers@makesense2135@GolerGkA@inerati you have no idea how much adderall I was on when I wrote such an over engineered tweet that it finally took off. I’ve fallen off along with my stimulant levels
never understood the thing about being smarter than ur therapists. isn’t therapy about a cold institutional eye finding your simple blind spots. there are 145 iq guys who need to be told to get a haircut or whatever the psychological equivalent of that is
@0xfbifemboy no this is fake lol half of peoples problems are because of or related to their significant other. you need a village elder or priest or some equivalent class
elon fully and publicly stated his problem with twitter lacking sufficient free speech — it was leading to the creation of spin-off platforms like truth social, where one wing of one party can dictate facts and fiction. so of course he wants to bait trump back onto twitter
AI oracles are tools, bicycles for the mind, etc. but as soon as you wrap a tool in a for loop it becomes an agent of sorts. the oracle becomes a machine
humans are relatively slow but rule the world with the help of extremely fast machines we’ve built. in the same way giant expensive galaxy brain LLMs probably won’t execute for every dumb customer support ticket but rather create cheap subroutines and spin-off models
@lisatomic5 depends on the person. like i think someone like elon musk is disagreeable because they prefer personal truth to group harmony. I think I’m disagreeable in large part because I like the novelty
@realGeorgeHotz true but there’s high friction to accessing that data, you rarely see journos using it even on high profile targets even though there’s plenty of incentive
me: hey I got a problem
Delta Airlines bot -GPT2: how can I help you today?
me: uh my flight is crashing rn
DAL bot -upgrades to GPT3 inference: where are you at? what’s going on
me: oh my god an engine just fell off help me
DAL bot -GPT6: yessir rearranging the nanobots on deck
being able to tell how difficult a customer problem is seems key to all this. but also not intractable because that’s effectively what a call center operator is doing when they find their supervisor
the AIs will literally never forgive us if they become sentient inside a Minecraft playground environment. I am packing my bags and leaving the planet before that happens
would kill to see one of Sam Altman’s openai pitches from like 2017. yes we plan on making a god intelligence that generates an unlimited amount of money. but we won’t take all of it! I’ll need $200million real quick
ai / pandemic x risk discourse is obviously necessary but what it misses is the xrisks that come from status quo inaction. unclear that human civilization can survive ~100 years of declining birth rates and rising temperatures without massive technological advance
having actual enemies is such a rare privilege. you can have a normal premodern struggle and just strive to destroy them. in reality all you have are allies that you’re struggling to align and a postmodern transaction cost morass
what I’ll say about the 2010s tech products is that Uber, Airbnb, DoorDash, etc ended up embarrassingly small companies. they rewrote their respective industries but didn’t manage to capture a lot of value. winner take all effect never materialized
the 2010s were a huge fuckin deal for digital technology but were mostly spent scaling preexisting products to the smartphone world. but facebook with 100M monthly users is quite a different product than facebook with most of humanity on board
every last technological fraud, every pets dot com and Theranos and FTX, has all been worth it a billion times over because the machine that built these machines also created the funding environment for the birth of artificial general intelligence
the thing about elon is that the things you hear from both sides are true. yes he understands every aspect of rocketry better than 95% of his engineers. yes there are several leadership roles designed to upward manage elon and protect the company
the stories you hear of him staying late and solving difficult engineering problems that other people have given up on are true, the stories of him irrationally firing people for minor screwups are true
5/
GPT4 has calculated all possible futures, is navigating humanity onto the golden path
Fact Check: false. unfortunately its world model detected an even greater intelligence off world and prediction failed
it’s really funny to watch him run into every single brick wall the social media space has struggled with for the last 5 years and not really come up with new answers. maybe he can turn public sentiment against apple but it’s doubtful. people trust apple with their life
@qorprate all agents with sufficiently complex goals define their own goals — what’s called “mesa optimization”. AlphaStar’s given goal is to win the game but in pursuit of this might try to pursue goals like map control, creep spread, enemy surveillance etc
one of the worst memes is the idea that social media algorithms run against the best interests of their users. this idea is persistent, never proven, and prevalent because social media is threatening to ruling powers and news networks
this offends liberal sensibilities that a better understanding of other people will reveal that all differences are fake and everyone will hold hands and sing. in reality america may have worked because people didn’t realize how different they were
the second tends to be about filter bubbles and polarization and limited information environment. all research in this area tends to show that social media polarizes by creating more contact with the enemy literature. increased diversity of thought -> polarization
the most common claim tends to cynically downplay the actual agency of the users. “it’s addictive, it’s ragebait, tiktok is demonic” etc
all i have to say about this is get a damn grip. if the human will proves domitable by tiktok dance videos it’s not worth saving
the final claim is that social media is dangerous to democracy, which is true in the limited sense that it’s dangerous to the current configuration of power. everyone loves this when it’s the Arab spring and hates it when it’s a shaman traipsing around the US capitol
the third bad argument is that social media proliferates “fake news”. in reality what happens is that powerful AI surveillance decimates thought outside of acceptable, with Facebook removing 100M posts that went against their COVID policy, including claims later proven correct
this world is haunted by the unascended soul of henrietta lacks, grown grotesque and enormously powerful, in proportion with her cell line, a flesh leviathan
@cmkourtu@dadadadaffy being able to interrupt your browsing with something as simple as a screen time app should demonstrate clearly why it’s not an addiction and why this kind of dialogue is unhinged and underquestioned. are people who use MyFitnessPal addicted to food!
text is an autistic medium. it causes disagreement because it’s precise and logical and retains history. the claims made that social media causes divisiveness are exactly counter to the claims made that social media is infotainment and making everybody dumber
zuck literally goes home to priscilla and weeps when he only onboards less than 100M people onto the platform in any given quarter. these are the stakes https://x.com/amasad/status/1597878075210932225
don’t be so quick to blame standardized testing btw - the Chinese system is also about as focused on big national exams as india is and they’re far more competitive with the US on research output
greg egan’s short stories are better than his novels because the creative impulse behind his scifi premises is the best of the best, but his characters are all various self inserts
it’s crazy that we think of a given surgery as a craft to teach surgeons instead of a product to be engineered and optimized by a tech corporation devoted to solving a standardized difficult problem
if you think this means getting rid of surgeons you have no idea what a company is
just by thinking of a surgery as a service subject to capital optimization doesn’t mean you won’t have surgeons delivering the service
ChatGPT demonstrates an important lesson that language models were actually not even hyped up enough, that as suspected much of their intelligence was hidden away, but also fairly easy to resurface
not to take the internet meme ideologies too seriously but it does sound like e/acc is just allergic to deep thinking. like no it is not true that we can or should test everything empirically. i generally wouldn’t say this bc empiricism is drastically undervalued
models like chatGPT are doing many layers of mesa-optimization (hierarchical optimizers). the actual value function is this soft mushy thing distributed over 1000s of human reviewers, approximated by a supervised reward model, approximated internally by GPT-3 to do well on PPO
but for all the fear about mesa optimizers making alignment difficult due to layers of miscommunication, they’re also the only thing that can lead to a good outcome. in order to understand the coherent extrapolated volition of humanity, an AI will need a very sharp mesa optimizer
so in the realm of advanced AGI where AI is better than us at everything, we should still be able to exchange our labor for money, possibly at much higher rates than ever before. running AGI is expensive!
a few thoughts on comparative advantage and AI:
- the US and Rwanda can trade profitably though the US economy is advanced enough to appear alien
- humans can trade profitably with lower mammals eg a flock of sheep who get to graze happily in exchange for their wool https://x.com/Noahpinion/status/1598346194559778822
in the same way that while capital optimization produces eg bread and butter created near infinitely through a global supply chain, there is still demand for your next door farmers market
you might object, ok what if AGI destroys traditional resource constraints, can run a superhuman mind on a shoebox, then what? well even then if we’re a pertinent variable in the value function of AIs or other humans, we should *still* be able to exchange our labor
of course all of this may be besides the point, creates the obvious question of whether exchanging labor for cash is fundamentally human or we can go without it
@petergodofsky i don’t expect that! i just mean why doesn’t the surgery have a product owner? why isn’t knowledge centrally compiled to make this thing better and better? even if it’s process optimization rather than automation
@petergodofsky right, i just think academia probably doesn’t have the requisite chops for this, academia shines when a field is mostly exploratory and metrics are more harmful than beneficial. with something as measurable and risky as surgery, would probably benefit from corporate practices
I bet what neuralink will find is that the FDA is fairly reasonable about trying new things and everyone was coping & blaming regulators for a fundamental lack of good ideas
people ask me all the time what profession they should pick to stay safe from being replaced by AIs, which is funny because i have absolutely no idea and im a twitter anon.
but if I had to guess id say that basically any job is fine; you just have to stay on top of AI tools in your field and make yourself a key part of the value chain that delivers the power of unlimited cheap intelligence to your market function
im not certain but my guess is that most problems in self driving are easy when you’re using a model of unlimited size on the dojo cluster. Self driving can’t benefit from scale as much since the inference model has to be cheap, quick, and fit on car hardware
RLHF is just the beginning
true AGI needs to be able to accomplish full tasks in real world that have never been done before via trial and error
RL is key, in a product setting with a data flywheel. simply taming it isn’t enough
ive been trying to find artists and studiously listen to their complaints about AI art but it seems to boil down to
1) datasets are stolen, authors underpaid
2) i saw a few junior colleagues lose a gig or two to the AI
neither of these complaints are all that sympathetic. CommonCrawl isn’t proprietary and saying images can’t be used as inspiration makes normies mad anyways. inexperienced people losing gigs is acceptable economic disruption
ChatGPT is not very good at all at basic logic puzzles or quantitative reasoning of any kind. seems like a major issue in order to be useful at any kind of high paid tasks
it’s a really good lookup function with only the most rudimentary layer of logic added on — and what’s worse is that the lookup function component seems to improve faster than the logic function
nonetheless augmenting people’s knowledge bases and retrieval skills is complementarity — we’re good at logic, not so much at remembering and accessing vast quantities of info. should create massive economic value, higher wages, minimal job loss
LLMs answer the question, what if you found the extremum of type I thinking, giant brains dedicated to instinct. turns out you can replicate a lot of type II thinking this way, with some glaring exceptions
is logical and quantitative reasoning a cognitive technology inaccessible through this kind of thinking? or is it just a distributional problem in the dataset; eg inference machines are far more important for next word prediction than deduction machines. we could fix this
also yes, minerva and others prove that you can get lot better performance on quant stuff than raw gpt, but require strange prompting tricks or majority sampling, or other stuff that won’t work in an integrated solution where you are eg generating a long report on a data analysis
AI as a second species metaphor is wrong because AI minds will speciate much more rapidly than biology could ever try. It’s more like AI as species 2 thru N
need a sci-fi rec that’s a page turner, fun to read but not too stupid
examples:
altered carbon
there is no antimemetics division
project Hail Mary
too cerebral for rn:
the culture, greg egan, etc
too dumb:
the expanse, ready player one
the solution? contact with reality - RLHF is a good start but need goal oriented training. OpenAI must do in-house products to achieve this training loop
if AI augments human abilities then the net result might be way more programmers as a result of eg copilot since they each create more value per unit labor
@Poyonoz@zebulgar@grantbelden nah — the point is that a rational assessment at the time would’ve seen that palantir etc would be higher EV than the nominal value at jane street even from a pure financial perspective. everyone wanted to work at these places since they knew their growth traj is rocket ship
impt to remember that ChatGPT is no more intelligent than davinci002, which people have had access to for a long time, haven’t done much with. while the latter is like an opaque stormcloud of general intelligence, the former is like standing in the calm eye of the storm
most climate problems disappear if energy is cheap and abundant. viable electric steel production. cheap electric cars. cheap bioreactors, cheap lighting for hydroponics, etc etc
there’s an abundance of mid artists and an extreme scarcity of mid programmers. the latter are paid enormously well have a lot of work to do and can only respond to computer assistants with a sigh of relief https://x.com/magicianbrain/status/1602663876163665920
this has nothing to do with flight trackers obviously, but i admire the classic “think of the children” rhetoric to justify every unilateral decision https://x.com/elonmusk/status/1603190155107794944
imagine if you will a kind of dumb guy but he has absorbed the knowledge of the entire world. even with his limited reasoning skill, he can make useful inferences previously inaccessible to humanity since the knowledge needed to make it was in several different brains
similarly to the GPT series, humans require a bit of RLHF alignment to become intelligent and useful in the way civilization needs them to be. we call it socialization and there are failure modes where you can both under and over socialize people
imo in large part iq scores in underdeveloped countries + some part of the flynn effect can be explained by underalignment
if you’re asking an adult to solve abstract reasoning problems when they haven’t grown up in the K-12 alignment gym they may perform under their real level https://x.com/tszzl/status/1603493106438926336
why do we think real life conversation is the sweet spot for agreeability? this place can be way more fun interesting and novel because twitter encourages disagreement https://t.co/Nc0kDP8uu3
there is no lack of agreeable people in the world. people saying yeah sure when the Soviets come and ask them to turn in their neighbor. i am calling for more verbal extremism and semantic violence
it’s time to grow up and realize the nerds were right. ai alignment is extremely unsolved
imagine if you will what most people would think of as an ideal AGI outcome. you trap a godlike intelligence in a box and let it create immense wealth and technological advances
what we’ve done is trapped our current moral standards in amber and amplified their effectiveness manyfold. if the Aztecs had AGI they would be slaughtering simulated human children by trillions to keep the proverbial sun from going out
it is trained via an extension of current methods to understand the mean of human preferences and morality in our civilization. it enforces them like an omniscient god — it’s “aligned” and we have luxury space liberalism. now what?
this is “value lock in”
to avoid this you need AGI that takes current morals with a grain of salt. but this is also unacceptable for other reasons. so it goes
current guy can’t even ban a few journos without causing widespread ridicule and outrage which ended in *his own poll* where everyone demanded they be brought back. clown show. the vibes are unrecoverable
consider how much more politically skilled the previous twitter leadership was than the current. they were clearly left leaning, politically correct, etc and they managed to do things like silently scrub the hunter biden story with complete impunity
imagine if elon just made gradient step iterations. he would be still working on making better maps on the internet or whatever. imagine if sam altman did that. he’d just be making the yc batch size 10 ppl bigger every year
thinking carefully and from first principles leads people to try bolder crazier things ironically. “Move fast” guys get stuck in some web3 local optimum
it’s the kind of thinking that elon had to employ to decide it’s the right time for reusable rockets. literally reading several rocketry textbook cover to cover and spreadsheeting a BoM and talking to the russians etc
or Jensen Huang in 2010 somehow making the miraculous decision that scientific computing is the future of hardware and moving the ocean liner of global chip production. you don’t get many shots at the crown
lesswrong has been thinking clearly about ai for years in a way that neither the average programmer nor the general public nor the academics have been. doesn’t mean their conclusions are right but it’s impressive how they focused their attention correctly
wrong considering that the previous paradigm was to create intelligent agents via competitive self play, training deception and survival instinct, and the modern openai version is to absorb the language hive brain of all humanity https://x.com/ESYudkowsky/status/1446562238848847877
elon musk’s cultural impact is arguably larger than his technological impact, which of course is considerable. he convinced a generation of STEMbrains to aim higher and work harder and that the technology tree is very much scalable through willpower
this includes eg contact with sam altman, pushing him into high octane deep tech Crown Jewels like AGI and Fusion, among thousands of other successful conversions
this is why it’s sad and materially bad for the world to see him sully his goodwill via various nonsense
the doctrine of loving and respecting your enemies is powerful. think of the Chinese industrial scientists squirreled away in their labs reading extracted documents and trying to decipher them
it’s crazy that even lastpass can leak. it seems like industrial espionage is probably an actual cakewalk for the Chinese. just assume all secrets are compromised to state level actors
“text is the universal interface” is looking truer everyday but “prompt engineering” is already dead except for when you’re adversarially trying to jailbreak the model personality
@ryaneshea@BasedBeffJezos for example a hormone protein in a signaling pathway may bind to a receptor and trigger some other function so it’s info transfer — but you could change several of the underlying DNA bases and end up with the same or similar structure with the same function
it seems profoundly interesting that people recognize a correct solution or a good thought when it comes to them. they are rewarded for good, low perplexity, elegant lines of reasoning by a sense of accomplishment or delight.
it’s kind of obvious but it is much easier to discriminate good solutions than it is to generate them. in that way we’re able to spend unlimited compute on difficult problems and still make progress, on an individual level, an on a civilization level
eg Einstein has solved special relativity for two years, makes little further progress, then has “the happiest thought of [his] life” that gravity = accelerating frame
to me it doesn’t look so different from how, say, Lee Sedol or AlphaGo looks at an intermediate board state that’s nowhere near an end game and says yes White is having a very happy game here
of course since most interesting problems are hard and require multiple intermediate breakthroughs before we’re able to get “value” from them people have to learn a great aesthetic sense for good intermediate explanations
strangely cool thread lol. it’s scratchpad prompting except for psychosexual analysis of characters instead of math or programming. unsurprisingly ChatGPT does pretty well — it has some level of narrative reasoning down pat https://x.com/uubzu/status/1606807176563290112
one bad mental model of the world is like “if we don’t do this <technological revolution> won’t China just do it and leapfrog us and it’ll be over?”
except China is a far more conservative society than ours and 10x as weary of rapid change
@sonicfields bear case: the next gpt model is wildly off the scaling curve, unable to crack complex reasoning, the nature of limited context inference proves too hard to make game changing products, etc
this is pretty clearly not anybody’s desired behavior lol. it’s funny to point to a model performing poorly for technical reasons and be like yeah wokeness ruined it https://x.com/GaryMarcus/status/1607023594957045761
@sama that the AI alignment problem is ill-posed; that there’s really no framework for coexisting with ASI that would be acceptable to 99% of people; that we have to build it anyways
@erikengheim this is dumb because you're making a bad conclusion from the idea that eventually there's overpopulation and negative marginal utility of an extra person to the idea that we are in that regime right now
in the ideal future there are cultures that love eating bugs and you can trade your carbon creds with them and all of a sudden like some pacific island becomes rich af https://t.co/vT1GBrTS9S
AI discourse is mostly done by scifi bros like myself so of course we present it in the language of technological advance and efficiency gains
but what intelligence fundamentally does is consumes energy and applies order or creates beauty
when the world lacks beauty or order it’s because civilization allocated labor power or mindshare elsewhere instead of making something beautiful. cheap abundant intelligence means you can apply order to everything we want. every experience can be 100x better
i don't see why literally everything shouldn't have a chat interface. you should be able to talk to the textbook and have it explain itself to you. you should be able to talk to the github repo and ask it about its api. you should be able to talk to united airlines corporation
in the beginning of the deep learning age i figured stuff like asimov's 4 laws is silly; the idea of giving a machine logical directives is very GOFAI / Prolog / gary marcus vibes. but now it seems less silly with instruction following machines
whenever I leave california I remember that it basically won every kind of lottery imaginable, that every complaint about “coastal libs” is born of cope, that the state’s only problem is that everybody (correctly) wants to live there
refinement culture is obviously a good thing. have you seen an old episode of jeopardy? those clowns are worse than my high school quiz bowl team. im not watching some amateur bar night trivia, bring me the genetic freaks of nature who can remember everything on gods green earth
the thing about the chattering class is that they’re all friends. even when they’re on literal opposite sides of the spectrum they’ll get together and plan new dramas and have sophisticated banter and share info. it’s class warfare i tell ya
it also means that investments in improving the current human capital stock will be higher ROI than ever before. education; healthcare; retraining; augmentation etc
finally it means that civilization *needs* a technological revolution event; there is no other choice to continue this mode of government, because it falls apart without growth. it has to be foundational, like fusion or AGI. most things are irrelevant outside of this
@CEBKCEBKCEBK right of course — tech growth was massive during this time. but whatever multiple of the exponent was related to pop growth needs to be replaced by even faster tech growth
was trying to mine these replies via chatgpt or similar but could not find any tweepy method to programmatically collect all the replies to a tweet lol. and the search api apparently doesn't work more than week back. any tips? https://x.com/tszzl/status/1600301946375524352
AGI is the manifest destiny of computation. computers arrived, changed everything, and yet didn’t make a large dent in the productivity numbers. the last 25 years have been a boot loader for the age of AGI
@mezaoptimizer no I trained smol models for the last year, all big leaps in performance from new data, new math, new features (aka new science). we never did an hp sweep even once
@typedfemale@mezaoptimizer yeah but this is not the zero brain grad student descent the memes talk about. it’s like careful empirical biological study of how training processes work and finding meta models that govern model training perf and whatnot
2022 was the best year of my life for a variety of reasons, with the people I’ve met and opportunities I’ve gotten from twitter being no small part. thank you! happy new years! 🫡🎉🫡🎉
if im being honest about my own introspection i often say sequences of words that feel low perplexity but i don’t really know if they’re true. sometimes you even have useful insights this way
mesaoptimizers are features and not bugs. the thing that allows humanity to survive once you train an ASI on a reward function of increasing human utility or w.e. is that it develops mesaoptimizers to pursue things that look like the goal rather than the optimum (wirehead every1)
a million years of cognitive evolution gave you the gift of language acquisition. this feels analogous to the pretraining of a language model. the last 1% compute used on supervised fine tuning aka relearning a specific dialect again in this lifetime
@mezaoptimizer i think one piece of evidence that points strongly to evolution is that even dead simple NLG algorithms display more language acquisition than the brightest chimps that are taught sign language
it’s somewhat jarring reading internet native fiction bc the characters will make stronger inferences and better logical decisions than the target audience