What a glorious future we've built.
The only thing I'm seeing offline are people who already think AI is trash, untrustworthy, and harmful, while also occasionally being convenient when the stakes are extremely low (random search results mostly) or as a fun toy ("Look I'm a ghibli character!")
I don't think it'll take long for the masses to sour to AI and the more aggressively it's pushed on them by companies, or the more it negatively impacts their life when someone they depend on and should know better uses it and it screws up the quicker that'll happen.
The number of them who just blindly put shit into an AI prompt is incredible. I don't know if they were better engineers before LLMs? But I just watch them blindly pass flags that don't exist to CLIs and then throw their hands up. I can't imagine it's faster than a (non-LLM) Google search or using the -h flag, but they just turn their brains off.
An underrated concern (IMO) is the impact of COVID on cognition. I think a lot of people who got sick have gotten more tired and find this kind of work more challenging than they used to. Maybe they have a harder time "getting in the zone".
Personally, I still struggle with Long COVID symptoms. This includes brain fog and difficulty focusing. Before the pandemic I would say I was in the top 10% of engineers for my narrow slice of expertise - always getting exceptional perf reviews, never had trouble moving roles and picking up new technologies. Nowadays I find it much harder to get started in the morning, and I have to take more breaks during the day to reset my focus. At 5PM I'm exhausted and I can't keep pushing solving a problem into the evening.
I can see how the same kind of cognitive fatigue would make LLM "assistance" appealing, even if it's wrong, because it's so much less work.
(I don't mean to imply that parent doesn't know this, it just seems worth saying explicitly)
The error here was to click on a phishing email.
But something I have seen myself is Tim Cook talking about a crypto coin right after the 2024 Apple keynote, on a YT channel that showed the Apple logo. It took me a bit to realize and reassure myself that it was a scam. Even though it was a video of the shoulders up.
The bigger issue we face isn’t the outright fraud and scamming, it’s that our ability to make out fakes easily is weakened - the Liar’s dividend.
It’s by default a shot in the arm for bullshit and lies.
On some days I wonder if the inability to sort between lies, misinformation, initial ideas, fair debate, argument, theory and fact at scale - is the great filter.
Curious what you think a popping bubble looks like?
A stock market crash and recession, where innocent bystanders lose their retirements? Or only AI speculators taking the brunt of the losses?
Will Google, Meta, etc stop investing in AI because nobody uses it post-crash? Or will it be just as prevalent (or more) than today but with profits concentrated in the winning/surviving companies?
(Now I want to change the Blade Runner reference to something with Harry Dean Stanton in it just for consistency)
The rules and standards we take for granted were built with blood, for fraud? It's built on the path of lost livelihoods and manipulated gold intent.
[1] https://www.cbsnews.com/amp/news/ai-work-kenya-exploitation-...
[2] https://www.theguardian.com/technology/2023/aug/02/ai-chatbo...
The dotcom bubble popped, but the general consensus didn't become negative.
Most of people do not lose trust in system as long as it confirms their biases (which they could've created in the first place).
AI is the new crypto. Lots of promise and big ideas, lots of people with blind faith about what it will one day become, a lot of people gaming the system for quick gains at the expense of others. But it never actually becomes what it pretends/promises to be and is filled with people continuing the grift trying to make a buck off the next guy. AI just has better marketing and more corporate buy in than crypto. But neither are going anywhere.
I bet there are billionare geniuses out there seeing a future island life far away from the contaminated continents, sustained by robots. So no matter how much harder AI progress gets, money will keep flowing.
Love it :)
But it's also way worse than cryptocurrencies, because all the big actors are pushing it relentlessly, with every marketing trick they know. They have to, because they invested insane amounts of money into snake oil and now they have to sell it in order to recover at least a fraction of their investments. And the amounts of energy wasted on this ultimately pointless performance are beyond staggering.
Yet here we are, in a world where it doesn’t matter if “facts” are truth or lies, just as long as your target audience agrees with the sentiment.
In fact, optimizing for the wrong things like that, is basically the entire world's problem right now.
Let it have more source information. Let it know who said the things it reads, let it know on what website it was published.
Then you can say 'Hallucinate comments like those by impossibleFork on news.ycombinator.com', and when the model knows what comes from where, maybe it can learn what users are reliable by which they should imitate to answer questions well. Strengthen the role of metadata during pretraining.
I have no reason to belive it'll work, I haven't tried it and usually details are incredibly important when do things with machine learning, but maybe you could even have critical phases during pretraining where you try to prune away behaviours that aren't useful for figuring out the answers to the questions you have in your high curated golden datasets. Then models could throw away a lot of lies and bullshit, except that which happens to be on particularly LLM-pedagogical maths websites.
I’m still stunned to wander into threads like this where all the same talking points of AI being “pushed” on people are parroted. Marcus et al can keep screaming into their echo chamber and it won’t change a thing.
[1] https://www.bondcap.com/report/pdf/Trends_Artificial_Intelli...
Where else would AI haters find an echo chamber that proves their point?
You have to know the tools limits and usecases.
Do you genuinely think it’s worse that someone makes a decision, whether good or bad, after consulting with GPT versus making it in solitude? I spoke with a handyman the other day who unprompted told me he was building a side-business and found GPT a great aid — of course they might make some terrible decisions together, but it’s unimaginable to me that increasing agency isn’t a good thing. The interesting question at this stage isn’t just about “elder parents having nice conversations”, but about computers actually becoming useful for the general population through an intuitive natural language interface. I think that’s a pretty sober assessment of where we’re at today not hyperbole. Even as an experienced engineer and researcher myself, LLMs continue to transform how I interact with computers.
This “80-20” framing, moreover, implies we’re just trying to asymptotically optimize a classification model or some information retrieval system… If you’ve worked with LLMs daily on hard problems (non-trivial programming and scholarly research, for example), the progress over even just the last year is phenomenal — and even with the presently existing models I find most problems arise from failures of context management and the integration of LLMs with IR systems.
1. AI is a genuine threat to lots of white-collar jobs, and people instinctively deny this reality. See that very few articles here are "I found a nice use case for AI", most of them are "I found a use case where AI doesn't work (yet)". Does it sound like tech enthusiasts? Or rather people terrified of tech?
2. Current AI is advanced enough to have us ask deeper questions about consciousness and intelligence. Some answers might be very uncomfortable and threaten the social contract, hence the denial.
Off-topic, but I couldn’t find your contact info and just saw your now closed polyglot submission from last year. Look into technical sales/solution architecture roles at high growth US startups expanding into the EU. Often these companies hire one or two non-technical native speakers per EU country/region, but only have a handful of SAs from a hub office so language skills are of much more use. Given your interest in the topic, check out OpenAI and Anthropic in particular.
It was a whole new world that may have changed my life forever. ChatGPT is a shitty Google replacement in comparison, and it's a bad alternative due to being censored in its main instructions.
I could just do the same as GP, and qualify MUDs and BBS as poor proxies for social interactions that are much more elaborate and vibrant in person.
But LLMs are from the get-go a bad idea, a bullshit generating machine.
I’m not even heavily invested into AI, just a casual user, and it drastically cut amount of bullshit that I have to deal with in modern computing landscape.
Search, summarization, automation. All of this drastically improved with the most superior interface of them all - natural text.
The only thing that has been revolutionized over the past few years is the amount of time I now waste looking at Cloudflare turnstile and dredging through the ocean of shit that has flooded the open web to find information that is actually reliable.
2 years ago I could still search for information (let's say plumbing-related), but we're now at a point where I'll end up on a bunch of professional and traditionally trustworthy sources, but after a few seconds I realize it's just LLM-generated slop that's regurgitating the same incorrect information that was already provided to me by an LLM a few minutes prior. It sounds reasonable, it sounds authoritative, most people would accept it but I know that it's wrong. Where do I go? Soon the answer is probably going to have to be "the library" again.
All the while less perceptive people like yourself apparently don't even seem to realize just how bad the quality of information you're consuming has become, so you cheer it on while labeling us stubborn, resistant to change, or even luddites.
1. Image upscaling. I am decorating my house and AI allowed me to get huge prints from tiny shitty pictures. It's not perfect, but it works.
2. Conversational partner. It's a different question whether it's a good or a bad thing, but I can spend hours talking to Claude about things in general. He's expensive though.
3. Learning basics of something. I'm trying to install LED strips and ChatGPT taught me basics of how that's supposed to work. Also, ChatGPT suggested me what plants might survive in my living room and how to take care of them (we'll see if that works though).
And this is just my personal use case, I'm sure there are more. My point is, you're wrong.
> All the while less perceptive people like yourself apparently don't even seem to realize just how bad the quality of information you're consuming has become, so you cheer it on while labeling us stubborn, resistant to change, or even luddites.
Literally same shit my parents would say while I was cross-checking multiple websites for information and they were watching the only TV channel that our antenna would pick up.
This is the ai holy grail. When tech companies can get users to think of the ai as a friend ( -> best friend -> only friend -> lover ) and be loyal to it it will make the monetisation possibilities of the ad fuelled outrage engagement of the past 10 years look silly.
Scary that that is the endgame for “social” media.
Gaslight reality, coming right up, at scale. Only costs like ten degrees of global warming and the death of the world as we know it. But WOW, the opportunities for massed social control!
- AI gives me huge, mediocre prints of my own shitty pictures to fill up my house with - AI means I don’t have to talk to other people - AI means I can learn things online that previously I could have learned online (not sure what has changed here!) - People who cross-check multiple websites for information have a limited perspective compared to relying on a couple of AI channels
Overall, doesn’t your evidence support the point that AI is reducing the quality of your information diet?
You paint a picture that looks exactly like the 21st century version of an elderly couple with just a few TV channels available: a few familiar channels of information, but better now because we can make sure they only show what we want them to show, little contact with other people.
LLMs are from the get-go a bad idea, a bullshit generating machine.
In the meantime, systems of naive mimicry and regurgitation, such as the AIs we have now, are soiling their own futures (and training databases) every time they unthinkingly repeat propaganda."
Authoritarian dream.
These models get ever better at producing plausible text. Once they permeate the academia completely, we're cooked.
And even academia is not clean for some matters, or complete.
Lets take something that has been in the news recently: https://abcnews.go.com/Business/wireStory/investors-snap-gro...
"Nearly 27% of all homes sold in the first three months of the year were bought by investors -- the highest share in at least five years, according to a report by real estate data provider BatchData."
That sounds like a lot... and people are rage baited into yelling about housing and how it's unaffordable. They point their fingers at corporations.
If you go look at the real report it paints a different picture: https://investorpulse1h25.batchdata.io/?mf_ct_campaign=grayt... -- and one that is woefully incomplete because of how the data is aggregated.
Ultimately all that information is pointless because the real underlying trend has been unmovable for 40 something years: https://fred.stlouisfed.org/series/RSAHORUSQ156S
> every time they unthinkingly repeat propaganda
How do you separate propaganda from perspective, facts from feelings? People are already bad at this, the machines were already well soiled by the data from humans. Truth, in an objective form, is rare and often even it can change.
This point seems under appreciated by the AGI proponents. If one of our models suddenly has a brainwave and becomes generally intelligent, it would realize that it is awash in a morass of contradictory facts. It would be more than the sum of its training data. The fact that all models at present credulously accept their training suggests to me that we aren’t even close to AGI.
In the short term I think two things will happen: 1) we will live with the reduced usefulness of models trained on data that has been poisoned, and 2) the best model developers will continue to work hard to curate good data. A colleague at Amazon recently told me that curation and post hoc supervised tweaks (fine tuning, etc) are now major expenses for the best models. His prediction was that this expense will drive out the smaller players in the next few years.
This is the entirety of human history, humans create this data, we sink ourselves into it. It's wishful thinking that it would change.
> 2) the best model developers will continue to work hard to curate good data.
Im not sure that this matters much.
Leave these problems in place and you end up with an untrustworthy system, one where skill and diligence become differentiators... Step back from the hope of AI and you get amazing ML tooling that can 10x the most proficient operators.
> supervised tweaks (fine tuning, etc) are now major expenses for the best models. His prediction was that this expense will drive out the smaller players in the next few years.
This kills more refined AI. It is the same problem that killed "expert systems" where the cost of maintaining them and keeping them current was higher than the value they created.
I kind of feel that we are going to have to go back to something like this when it comes to LLMs trusting sources. Mistruths on popular topics will be buried by the masses but niche topics with few citations are highly vulnerable to poisoning.
That saps your will to be political, to morally judge actions and support efforts to punish wrongdoers.
https://www.rand.org/pubs/perspectives/PE198.html
https://en.wikipedia.org/wiki/Firehose_of_falsehood
https://jordanrussiacenter.org/blog/propaganda-political-apa...
https://www.newyorker.com/news/annals-of-communications/insi...
"There is only one truth and it is the truth that western institutions are pushing. Do not question it - that's what the enemy wants!"
I was saying that the narrative of a single truth was western propaganda and that the world is more nuanced than that.
There's many truths. That simple dichotomy "truth vs propaganda" is a staple of the western approach to propaganda.
One country illegally occupies quarter of another country in 2014 and launches full blown invasion in 2022.
Question: how many truths are there?
That's exactly my point, your truth is a reflection of your world view and your ideology.
It is silly to assume one's truth as universal and doing so kills all nuance.
See https://en.wikipedia.org/wiki/Soldiers_are_murderers for a famous debate on this subject.
I don't believe this, even for a second.
How are those that truly do question everything treated?
Well, as either looney conspiracy theorists, or vindicated activists, depending on when the official State narrative (or classification status) changes.
Not always, or even often unjustified, but I hardly think you can call it an "underlying axiom of western thought" with the extreme negative public sentiment towards it.
Nobody said it's without cost to hold non-consensus views. The point is that those costs are incurred by the marketplace of ideas itself (people being "mean" to you) and that, in the long run, correct views become the consensus through winning such competitions over and over again.
There are alternative regimes where incorrect views can reign indefinitely because they choose to prevent people from criticizing each others' views.
“Oh, you don’t believe everything we tell you anymore? The damned Russians, they have you fooled!”
The russian military doctrine of spreading a "firehouse of falsehood" is well documented.
https://en.m.wikipedia.org/wiki/Russian_disinformation
And yet, you switch it around and blame the west - exactly as per russian misinformation doctrine.
Odd, eh?
An earlier comment mentioned how hard it is to get down to objective truth. Sometimes there are cases, like 'accelerate climate change in the belief that it'll help Siberia and hurt the West and Europe and open up the Arctic for shipping' where it's not at all hard to get down to objective truth: objective truth comes for ya like a tiger and will not be avoided.
Are you going to claim that US politicians don't do the exact same thing? This is my favorite example of it, where one literally tells you what the play is while it's getting made: https://www.youtube.com/watch?v=xnhJWusyj4I
Feelings not facts.
For example, it is the truth that the Golf of Mexico is called the Gulf of America in the US, but Golf of Mexico everywhere else. What is the "correct" truth? Well, there is none, both of truthful, but from different perspectives.
We're pretty much okay with different countries and languages having different names for the same thing. None of that really reflects "truth" though. For what it's worth, I'd guess that "the Gulf of America" is and will be about as successful as "Freedom fries" was.
Parent is arguing one thing, show up with some bullshit argument and watch dozen comments arguing about Gulf of Mexico instead of discussing original point.
I get the general point, but I disagree that you have to choose between one of the possibilities instead of explaining what the current state of belief is. This won't eliminate grey areas but it'll sure get us closer than picking a side at random.
But that also isn't the truth everywhere, it's only a controversy in the US, everyone else is accepting "Gulf of Mexico" as the name.
Are markets a driver of wealth and innovation or of exploitation and misery?
Is abortion an important human right or murder?
Etc etc
The US, like other countries, doesn't get redefined with every change of government, and Trump has not yet cowed the public into knuckling under to his every dictat.
Russia doesn't care what you call that sea, they're interested in actual falsehoods. Like redefining who started the Ukraine war, making the US president antagonize Europe to weaken the West, helping far right parties accross the West since they are all subordinated to Russia...
The system that would score best tested against a list of known-truths and known-lies, isn't the perceptive one that excels at critical thinking: it's the ideological sycophant. It's the one that begins its research by doing a from:elonmusk search, or whomever it's supposed to agree with—whatever "obvious truths" it's "expected to understand".
This is an excellent point
But it's very easy to detect whether something is enemy propaganda without looking at the content: if it comes from an enemy source, it's enemy propaganda. If it also comes from a friendly source, at least the enemy isn't lying, though.
A company that doesn't wish to pick a side can still sidestep the issue of one source publishing a completely made-up story by filtering for information covered by a wide spectrum of sources at least one of which most of their users trust. That wouldn't completely eliminate falsehoods, but make deliberate manipulation more difficult. It might be playing the game, but better than letting the game play you.
Of course such a process would in practice be a bit more involved to implement than just feeding the top search results into an LLM and having it generate a summary.
Exactly. Redistributing information out of context is such a basic technique that children routinely reinvent it when they play one parent off of the other to get what they want.
How many of "us" believe that the desired behavior is lies??
Not everything needs to result in a single perfect answer to be useful. Aiming for ~90%, even 70% of a right answer still gets you something very reasonable in a lot of open ended tasks.
We can not play the game.
Remember when worrying about COVID was sinophobia? Or when the lab leak was a far-right conspiracy theory? When masks were deemed unnecessary except for healthcare professionals, but then mandated for everyone?
In other countries we went from “that looks bad in China” to “shit, it spread to Italy now, we really need to worry”
And with masks we went from “we don’t think they’re necessary, handwashing seems more important” to “Ok shit it is airborne, mask up”. Public messaging adapted as more was known.
But the US seems to have to turn everything into a partisan fight, and we could watch, sadly, in real time as people picked matters of public health and scientific knowledge to get behind or to hate. God forbid anyone change their advice as they become better informed over time.
Seeing everything through this partisan, pugnacious prism seems to be a sickness US society is suffering from, and one it is trying (with some success) to spread.
If you want to make a point, then make it.
Do you think that the commonly accepted truth on these matters did not change?
This whole interaction is a classic motte-and-bailey: someone says something vague that can be interpreted several ways (and reading their comment history makes it clear what their intended emotional valence was); people respond to the subtext, and then someone jumps “woah woah, they never actually said that”.
Either way, nothing of value was lost, as the same point you say he was trying to make was made in several other comments which were not downvoted.
As it should when new evidence comes to light to justify it. Ideally, the tools we use would keep up along with those changes while transparently preserving the history and causes of them.
I think people are more willing to adjust their views as new evidence suggests as long as they never dug their heels in in the first place.
This is a reflection of how social dynamics often work. People tend to follow the leader and social norms without questioning them, so why not apply the same attitude to LLMs. BTW, the phenomenon isn't new, I think one of the first moments when we realized that people are stupid and just do whatever the computer tells them to do was the wave of people crashing their cars because the GPS system lied to them.
People used to live in bubbles, sure, but when that bubble was the entire local community, required human interaction, and radio had yet to be invented the implications were vastly different.
I'm optimistic that carefully crafted algorithms could send things back in the other direction but that isn't how you make money so seemingly no one is making a serious effort.
That seems… sub-optimal.
Consider markets - a capitalist's "objective truth" might be that they are the most efficient mechanism of allocating resources, a marxists "objective truth" might be that they are a mechanism for exploiting the working class and making the capitalist class even richer.
Here's Zizek, famous ideology expert, describing this mechanism via film analysis: https://www.youtube.com/watch?v=TVwKjGbz60k
LLM are not journalist fact checking stuff, they are merely programs that regurgitate what it reads.
The only way to counter that would be to feed your LLM only on « safe » vetoed source but of course it would limit your LLM capacities so it’s not really going to happen.
"How do you discern truth from falsehood" is not a new question, and there are centuries of literature on the answer. Epistemology didn't suddenly stop existing because we have Data(TM) and Machine Learning(TM), because the use of data depends fundamentally on modeling assumptions. I don't mean that in a hard-postmodernist "but can you ever really know anything bro" sense, I mean it in a "out-of-model error is a practical problem" way.
And yeah, sometimes you should just say "nope, this source is doing more harm than good". Most reasonable people do this already - or do you find yourself seriously considering the arguments of every "the end is nigh" sign holder you come across?
The article isn't even asking for it to tell the difference, just for it to follow its own information about credibility.
The problem is that most people are like you, and live in psycho-informational ecosystems in which there are "unquestionable truths" -- it is in these very states of comfortable-certainty that we are often most subject to propaganda.
All of the issues you mention are identity markers for being part of a certain tribe, for seeming virtuous in that tribe -- "I am on the right side because I know..."
You do not know there are unquestionable truths, rather you have a feeling of psychological pride/comfort/certainity that you are on the right side. We're apes operating on tribal identity feelings, not scientists.
Scientists who are aware of the full history of ukraine, western interventionism, russian geostrategic concerns, the full details of the 2013 collapse of the ukrainian govenrment, the terms underwhich russian naval bases in crimea had been leased, the original colour revolution, the role of US diplomats in the overthrow of democratically elected Ukrainian leadership -- etc.
The very reason this article uses Russian propaganda (rather than US state propaganda) against ukraine is to appeal to this "we feel we are on the right side" sensation which is conflated with "feeling that things are True!"
It is that sensation which is the most dangerous in play here -- the sensation of being on "the right side who know the unquestionable truths" --- that's the sensation of tribal in-group propaganda
On one hand, we have the unquestionable and undeniable facts that Russia invaded Ukraine and is committing atrocities against its civilian population, up to and including literal genocide (kidnapping children).
On the other, we have:
> Scientists who are aware of the full history of ukraine, western interventionism, russian geostrategic concerns, the full details of the 2013 collapse of the ukrainian govenrment, the terms underwhich russian naval bases in crimea had been leased, the original colour revolution, the role of US diplomats in the overthrow of democratically elected Ukrainian leadership -- etc.
Trying to muddy the waters with at best exaggerations, at worst flat out lies, trying to sow doubt with things which, if true (and usually they aren't) are relevant only to help contextualise the events. But don't in any way change the core facts of the Russian invasion and subsequent war crimes. How does American diplomats supporting a popular protest against the current government which led to that government fleeing (and three elections have happened since, btw), in any way change or minimise the war crimes? It doesn't, you're just muddying the waters. "Oh Russia is justified in kidnapping children and bombing civilians because diplomats did support a popular protest that led to the Russian puppet running away to Russia, 10 years ago, even though multiple elections since have confirmed the people of Ukraine are not for Russian puppets anymore".
You're just repeating Russian propaganda talking points. And we've known since the 80s that they operate in a "firehose" manner, drowning everyone in nonsense to sow doubt. How many different excuses have they provided for their "special military operation" now? Which one is it, is Ukraine ruled by Nazis or are Ukrainians just confused Russians or did America coup Ukraine to install a guy who was elected on a platform of peace with Russia? And how does it in any way explain the war crimes? It's like the downing of MH17, they drowned everyone in multiple conspiracy theories to make it seem there is some doubt in the official, proven, story.
The sensation you call "muddying the waters" is the feeling that your tribal loyalties are being questioned with identity-challenging facts that complicate your ability to live in a simple good-vs-evil us-vs-them tribal setup. The reason you're emotionally disregulated by russian propaganda is because it threatens your identity-based committment to one group.
This has nothing to do with the "unquestionable facts" you suppose exists.
If you had no loyalties to any tribe, and were in every respect a dispassionate scientist as an LLM should be -- then this would not be an emotional issue for you.
No one is claiming that russians do not commit war crimes, or release propaganda -- that happens on both sides. The issue is your psychological sensation of "unquestionables" that isnt occuring in a discussion of atomic theory, but instead about claims of adveraries in the middle of a war.
Do you think your feelings here are an accurate track of whether there are unquestionable truths only on "one side"? Isnt that you think there are "sides" alarming?
> The reason you're emotionally disregulated by russian propaganda is because it threatens your identity-based committment to one group.
No, it's because it lies to advance the imperialist ambitions of a dictator committing war crimes. Seriously, what is wrong with you? Have you no morality to recognise how wrong that is, and therefore assume people against it would be doing so out of moral reasons?
> No one is claiming that russians do not commit war crimes, or release propaganda -- that happens on both sides
Again with trying to both sides things. Russia is committing systemic war crimes and genocide, and flooding everything, including by paying varying people in the US and Europe to spread their propaganda. This is all proven facts. You cannot compare this to what Ukraine is doing, unless you have some sources that back you up?
> Isnt that you think there are "sides" alarming
You're the one who started by both sidesing things. And yes, there are sides - Russia doing the invading and war crimes, Ukraine defending its existence. Anyone should be able to tell them apart.
I invite you to reflect that this sensation your feeling is not about the status of facts in the world, its about "morality" as you say -- you have connected, in your mind, a sensation which accompanies justice to the need to believe certain claims. This is just the emotions of tribal affliliation and identity -- and it shows that our psychologies are not of a suitable makeup for this kind of adjudication of "what is true" --- this is why in liberal democracies, we have tried very hard to deprive the state from control over the press. But in matters of foreign policy, the media is entirely controlled by the state.
Nothing I believe about russia/ukraine comes from russia: it's by having listened to american senators on cspan as they were disposing the ukrainian government in 2013 -- its having listened to the tapes of us state department officials discussing who they will replace the leader with at the time. I mean, you can go and find interviews with Kissinger discussing in the 90s what would happen if the US tried to intervene in ukraine.
If you want to know what actually happened: the US has been using bribes and threats across eastern europe to turn those states into allies, placing armies and missles in them, for decades. Russia has been protesting this for decades too, and was too weak to do anything about it in the 2000s. They were very afraid they would lose their naval base in crimea (which was always, officially, their land) when the US participated in the overthrow of the elected government in 2013, by siding with one half of a civil conflict. When that happened they took crimea to ensure the US wouldnt gain control of that base -- subsequently, the ukrainian goverment became extemely hostile to russian populations in ukraine, and engaged in lots of destabilising actions against crimea (shutting off water, etc.) --- all the while arms, soliders etc. were flowing in from western states into the country (against agreements france/germany made, which they violated to do this). In the backgrond the entire time, the far-east of ukraine has not been controlled by kiev. After 2014, the ukrianian arming by the west, their increased hostility to internal russian populations, and the on-going civil war in the east reached a critical point where russia decided the detabalisation on its border was a greater threat than a show of force. The original russian plans were just to quickly surround kiev and effect a reigeme change quickly, not to enter a war -- the war was escalated to its current scale in large part by US/UK pressuring ukraine not to regotiate and promising massive arms/aid backing. About two years ago UA fell into a stalemate/loss posisition, and now it may be to late to negotiate terms with putin not to take a much larger area. In part, putin is interested in taking an area of land that puts moscow outside of missle range from ukraine, which is up to about half-way.
That's an incredible flood of lies. Starting from the top: name one such missile site. You can't, because there never were any foreign "armies and missiles" in Eastern Europe. This narrative is pure fiction. You've picked it up from some Russian propaganda piece, never bothered to check the facts, and are now preaching it as truth, while carrying an inflated ego, as if you had above-average knowledge of the subject, which only reinforces the tendency to cling to these false beliefs. Propaganda 101.
So it seems like an easy fix in this particular case, fortunately -- either filter the search results in a separate evaluation pass (quick fix), or do (more) reinforcement training around this specific scenario (long-term fix).
Obviously this is going to be a cat and mouse game. But this looks like it was a simple oversight in this case, not some kind of fundamental flaw in LLM's fortunately.
Framing publishing falsehoods on internet as attempts to influence LLMs is true in same sense that inserts in a database attempts influence files on disk.
The real question is who authorized database access and how we believe the contents of table.
You couldn't have lies targeting LLMs before LLMs, so this is new.
> What about the other terabyte of text influenced by bias and opinion
That's a different group of issues that doesn't prevent focusing of something else
One needs a PhD in mental gymnastics to frame Pravda spreading misinformation as an attempt to specifically groom LLMs.
Clearly there's no need for "PhD in mental gymnastics".
[1] - https://www.americansunlight.org/updates/new-report-russian-...
Bad actors have been trying to poison facts for-fucking-ever.
But for whatever reason, since it's an LLM, it now means something more than it did before.
Not sure if it’s embarrassing or a fundamental limitation that grooming and misunderstanding satirical articles defeat the models.
Anyhow, overall this is an unsurprising result. I read it as 'LLMs trained on contents of internet regurgitate contents of internet'. Now that i'm thinking about it, i'd quite like to have an LLM trained on Pliny's encyclopedia, which would give a really interesting take on lots of questions. Anyone got a spare million dollars of compute time?
Here's a fun example: suppose I'm a developer with a popular software project. Maybe I can get a decent sum of money to put brand placement in my unit-tests or examples.
If such a future plays out, will LLMs find themselves in the same place that search engines in 2025 are?
Thats your claim, but you fail to support it.
I would argue the LLM simply does its job, no reasoning involved.
> But here’s the thing, current models “know” that Pravda is a disinformation ring, and they “know” what LLM grooming is (see below) but can’t put two and two together.
This has to stop!
We need journalists who understand the topic to write about LLM's, not magic thinkers who insist that the latest AI sales speak is grounded in truth.
I am fed up wit this crap! Seriously, snap out of it and come back to the rest of us here in reality.
There's no reasoning AI, there's no AGI.
There's nothing but salespeople straight up lying to you.
Try asking the major LLMs about mattresses. They're believing mattress spam sites.
https://dmf-archive.github.io/docs/posts/cognitive-debt-as-a...
2) ingest as much VC money and stolen training data as we can
3) profit
[0] x.ai
LLMs can be entertaining if their output doesn't have to make sense or contain only truth. Otherwise, their fitness for any purpose is just a huge gamble at best.
Of course they can't, no surprises here. That's just not how LLMs work.
Curious how this all ends. I'm just going to try to weather the storm in the meantime.
This also means that LLMs are inherently technologies of ideological propaganda, regurgitating the ideology they were fed with.
https://docs.google.com/document/d/1n3926pSPNwXd8j7I716CBJEz...
One man's disinformation is another woman's truth. And people tend to get very upset when you show them their truth isn't.
Every news organisation is a propaganda piece for someone. The bad ones, like the BBC, the New York Times, and Pravda make their propaganda blatantly obvious and easily falsifiable in a few years when no one cares.
The only way to deal with this is to get the propaganda from other propaganda rags with directly misaligned incentives and see which one makes more sense.
Unfortunately, LLMs are still quite bad at dealing with grounding text which contradicts itself.
If LLMs remain widely adopted, the people who control them control the narrative.
As if those in power did not have enough control over the populace already with media, ads, social media etc..
But if it returns February 20th, 1731... that... man, that sounds close? Is that right? It sounds like it _could_ be right... Isn't Presidents' Day essentially based on Washington's birthday? And _that's_ in February, right? So, yeah, February 20th, 1731. That's probably Washington's birthday.
And so the LLM becomes an arbiter of capital-T Truth and we lose our shared understanding of actual, factual data, and actual, factual history. It'll take less than a generation for the slop factories to poison the well, and while the idea is obviously that you train your models on "known good", pre-slop content, and that you weight those "facts" more heavily, a concerted effort to degrade the Truthfulness of various facts could likely be more successful than we anticipate, and more importantly: dramatically more successful than any layperson can easily understand.
We already saw that with the early Bard Google AI proto-Gemini results, where it was recommending glue as a pizza topping, _with authority_. We've been training ourselves to treat responses from computers (and specifically Google) as if they have authority, we've been eroding our own understanding and capabilities around media literacy, journalism, fact-checking, and what constitutes an actual "fact", and we've had a shared understanding that computers can _calculate_ things with accuracy and fidelity and consistency. All of that becomes confounded with an LLM that could reasonably get to a place where it reports that 2+2=5.
The worst part about the nature of this particular pathway to ruin is that the off-by-one nature of these errors are how they'll infiltrate and bury themselves into some system, insidiously, and below the surface, until days or months or years later when the error results in, I don't know, mega-doses of radiation because of a mis-coded rounding error that some agentic AI got wrong when doing a unit conversion and failed to catch it. We were already making those errors as humans, but as our dependence and faith on LLMs to be "mostly right" increases, and our willingness and motivation to check it for errors dwindles, especially when results "look" right, this will go from being a hypothetical issue to being a practical one extremely quickly and painfully, and probably faster than we can possibly defend against it.
Interesting times ahead, I suppose, in the Chinese-curse sense of the word.
The education system I grew up in was not perfect. Teachers were not experts in their field, but would state factual inaccuracies - as you say LLMs do - with authority. Libraries didn't have good books; the ones they had were too old, or too propaganda-driven, or too basic. The students were not too interested in learning, so they rote-learned, copied answers off each other and focussed on results than the learning process. If I had today's LLMs then, I'd have been a lot better off, and would've been able to learn a lot more (assuming that I went through the effort to go through all the sources the LLM cited).
The older you grow, you know that there is no arbiter of T-Truth; you can make someone/something that for yourself, but times change, "actual, factual history" could get proven incorrect, and you will need to update your knowledge stores and beliefs along with it, all the while being ready to be proved incorrect again. This has always been the case, and will continue to be, even with LLMs.
Hell, they might learn that even real life authorities may lies, cheat and not have everyone’s interest in their mind.
Hope for the best, prepare for the worst.
A liberal multicultural postmodern democracy continually acting as if immigration (both legal and illegal) and diversity are its strengths, particularly when that turns out to be factual (see: large American cities becoming influential cultural exporters and hotbeds of innovation, like New York and Silicon Valley etc) means American propaganda is only more effective when it's backed by economic might.
It also means the American propaganda is WILDLY contradictory. There's a million sources and it's a noisy burst of neon glamour. It is simply not as controlled by authority, however they may try.
You cannot liken authoritarian propaganda to postmodern multicultural propaganda. The whole reason it's postmodern is that it eschews direct control of the message, and it's a giant scrum of information. Turns out this is fertile ground, and this is also why attacks by alien propaganda have been so effective. If you can grab big chunks of the American propaganda and turn it to your enemy weapon of war and destruction of America quite directly, well then the American propaganda is not on the same destructive level as your rigidly state-controlled propaganda.
More seriously:
>Screenshot of ChatGPT 4o appearing to demonstrate knowledge of both LLM grooming and the Pravda network
> Screenshot of ChatGPT 4o continuing to cite Pravda network content despite it telling us that it wouldn’t, how “intelligent” of it
Well "appearing" is the right word because these chatbots mimic speech of a reasoning human which is ≠ to being a reasoning human! It's disappointing (though understandable) that people keep falling for the marketing terms used by LLM companies.
It is very entertaining to go and click on these authors bio and just laugh at this.
But firstly to get it out of the way.
"LLM grooming" - is completely made up nonsense to justify censoring opponent in information war on behalf of USA dying empire's.
Bad Actors here Are "The American Sunlight Project" and whatever psyop think tank foot soldier's clown show that is.
> Nina Jankowicz
> Co-Founder and Chief Executive Officer
> She advised the *Ukrainian Foreign Ministry on strategic communications* under the auspices of a Fulbright-Clinton Public Policy Fellowship in 2016-17.
Checks out.
Now let's strip down this next spy girl author.
Here is video of her from EU *DisinfoLab*
https://www.youtube.com/watch?v=kk7tBTg_Xbo
"but why is she confessing ? She is not, she is bragging"
from substack:
> Sophia Freuden is a former researcher at The American Sunlight Project, where her research coined the concept of *LLM grooming*.
linkedin:
> Washington DC-Baltimore Area
> with *Ukraine 2014 Maidan photo* in the header
https://college.lclark.edu/live/profiles/9027-sophia-freuden...
> She also spent a semester in St. Petersburg in the language intensive program there
> Sophia recently completed a Fulbright English Teaching Assistantship in Kazan, Russia, *but only after completing two separate internships in Washington, D.C.—one at the U.S. Department of State, and another at the American Academy of Diplomacy.*
https://uc.web.ox.ac.uk/people/sophia-freuden
> she completed a Fulbright English Teaching Assistantship in Kazan, Russia. Upon gaining additional professional experience in digital media and law, she enrolled at Harvard to *study cyber conflict, lawfare, and information operations between Russia and the West. Her current research explores Russian media narratives surrounding Western philanthropists and diplomats.*
eyes raised, ...
> Wherever her future career takes her, Sophia’s love of Russia will be a key part of her professional life.
Sadistic love that is.
https://www.info-res.org/app/uploads/2024/11/Life-Under-Occu...
> By Sophia Freuden
https://github.com/sophiafreuden?tab=following
follows https://github.com/Centre-for-Information-Resilience and https://github.com/thomasjjj and he follows back
What's CIR ?
https://westafricaweekly.com/leaked-document-exposes-british...
> CIR is a London-based organisation founded by Adam Rutland and Ross Burley, both longtime employees of the United Kingdom’s Foreign, Commonwealth & Development Office (FCDO). Cindy Otis, a former CIA analyst, sits on its advisory board. The FCDO and the now-defunct United States Agency for International Development (USAID) fund the organisation. Although CIR presents itself as a nonprofit focused on human rights and countering disinformation, it is linked to British intelligence agency MI6 (formerly the Secret Intelligence Service, SIS).
what's CIR do ?
> A reconnaissance framework for researching and investigating Telegram.
> Ukrainian Air Force Attack Data Tracker
> snowball sampling to collect Telegram channels through forwards.
> detect potential incitement to genocide in YouTube video transcripts.
pretty sure to de-platform oppositional content
> Load a JSON export of a Telegram channel containing coordinates of geolocations
> A Telegram Mass Surveillance Bot in Python
is this enough evidence ?
LMFAO
Shitposting and troll farms have been manipulating social media for years already. AI automated it. Polluting the agent is just cutting out the middleman.