I checked a topic I care about, and that I have personally researched because the publicly available information is pretty bad.
The article is even worse than the one on Wikipedia. It follows the same structure but fails to tell a coherent story. It references random people on Reddit (!) that don't even support the point it's trying to make. Not that the information on Reddit is particularly good to begin with, even it it were properly interpreted. It cites Forbes articles parroting pretty insane and unsubstantiated claims, I thought mainstream media was not to be trusted?
In the end it's longer, written in a weird style, and doesn't really bring any value. Asking Grok about about the same topic and instructing it to be succinct yields much better results.
It was just launched? I remember when Wikipedia was pretty useless early on. The concept of using an LLM to take a ton of information and distill it down into encyclopedia form seems promising with iteration and refinement. If they add in an editor step to clean things up, that would likely help a lot (not sure if maybe they already do this)
Nothing about that seems promising! The one single thing you want from an Encyclopedia is compressing factual information into high-density overviews. You need to be able to trust the article to be faithful to its sources. Wikipedia mods are super anal about that, and for good reason!
Why on earth would we want a technology that’s as good at summarisation as it is at hallucinations to write encyclopaedia entries?? You can never trust it to be faithful with the sources. On Wikipedia, at least there’s lots of people checking on each other. There are no such guardrails for an LLM. You would need to trust a single publisher with a technology that’s allowing them to crank out millions of entries and updates permanently, so fast that you could never detect subtle changes or errors or biases targeted in a specific way—and that doesn’t even account for most people, who never even bother to question an article, let alone check the sources.
If there ever was a tool suited just perfectly for mass manipulation, it’s an LLM-written collection of all human knowledge, controlled by a clever, cynical, and misanthropic asshole with a god complex.
> If there ever was a tool suited just perfectly for mass manipulation, it’s an LLM-written collection of all human knowledge, controlled by a clever, cynical, and misanthropic asshole with a god complex.
It’s painful to watch how many people (a critical mass) don’t understand this — and how dangerous it is. When you combine that potential, if not likely, outcome with the fact that people are trained or manipulated into an “us vs. them” way of thinking, any sensible discussion point that lies somewhere in between, or any perspective that isn’t “I’m cheering for my own team no matter what,” gets absorbed into that same destructive thought process and style of discourse.
In the end, this leads nowhere — which is extremely dangerous. It creates nothing but “useful idiot”–style implicit compliance, hidden behind a self-perceived sense of “deep thinking” or “seeing the truth that the idiots on the other side just don’t get.” That mindset is the perfect mechanism — one that feeds the perfect enemy: the human ego — to make followers obey and keep following “leaders” who are merely pushing their own interests and agendas, even as people inflict damage on themselves.
This dynamic ties into other psychological mechanisms beyond the ego trap (e.g., the sunk cost fallacy), easily keeping people stuck indefinitely on the same self-destructive path — endangering societies and the future itself.
Maybe, eventually, humanity will figure out how to deal with this — with the overwhelming information overload, the rise of efficient bots, and other powerful, scalable manipulation tools now available to both good and bad actors across governments and the private sector. We are built for survival — but that doesn’t make the situation any less concerning.
> Why on earth would we want a technology that’s as good at summarisation as it is at hallucinations to write encyclopaedia entries?? You can never trust it to be faithful with the sources.
Isn’t summarization precisely one of the biggest values people are getting from AI models?
What prevents one from mitigating hallucination problems with editors as I mentioned? Are there not other ways you can think of this might be mitigated?
> You would need to trust a single publisher with a technology that’s allowing them to crank out millions of entries and updates permanently, so fast that you could never detect subtle changes or errors or biases targeted in a specific way—and that doesn’t even account for most people, who never even bother to question an article, let alone check the sources.
How is this different from Wikipedia already? It seems that if the frequency of additions/changes is really a problem, you can slow this down. Wikipedia doesn’t just automatically let every edit take place without bots and humans reviewing changes
Human editors making mistakes is more tractable than an LLM making a literally random guess (what’s the temperature for these articles?) at what to include?
I recall a similar argument made about why encyclopedias written by paid academics and experts were better than some randos editing Wikipedia. They’re probably still right about that but Wikipedia won for reasons beyond purely being another encyclopedia. And it didn’t turn out too bad as an encyclopedia either
It really isn't a promising idea at all. Llms arem't "there" yet with respect to this sort of thing. Having an editor is totally infeasible, at that point you might as well have the humans write the articles.
For the same reason you don't modify autogenerated files in your source code base. It's easy to get an LLM to just regen the page but once someone tries to edit it you're even farther down the road of what an LLM can't do right now. I wouldn't even trust it to follow one edit instruction, at scale, at that size of document, and if we're going to have humans trying to make multiple edits while the LLM is folding in its own improvements... yeah, the LLMs aren't even remotely ready for that at this point.
That’s a good point. I think it’s a similar problem of why you wouldn’t let a model go wild in your codebase though. If good solutions to how we handle AI models making code changes are found, it seems reasonable to expect they also may be applicable here
Maybe it's just me, but reading through LLM generated prose becomes a drag very quickly. The em dashes sprinkled everywhere, the "it's not this, it's that" style of writing. I even tried listening to it and it's still exhausting. Maybe it's the ubiquity of it nowadays that is making me jaded, but I tend to appreciate terrible writing, like I'm doing in this comment, more nowadays.
> I tend to appreciate terrible writing, like I'm doing in this comment, more nowadays.
Nah dude, what you're describing from LLMs is terrible writing. Just because it has good grammar and punctuation doesn't make it good, for exactly the reasons you listed. Good writing pulls you through.
I find the Grokipedia writing especially a drag. I don't think it's em dashes and similar so much as the ideas not being clear. In good writing the writer normally has a clear idea in mind and is communicating it but the Grokipedia writing is kind of a waffley mess. I guess maybe because LLMs don't have much of an idea in mind so much as stringing words together.
I completely agree. There's an "obsequious verbosity" to these things, like they're trying to convince you they they're not bullshitting. But that seems like a tuning issue (you can obviously get an LLM to emit prose in any style you want), and my guess is that this result has been extensively A/B tested to be more comforting or something.
One of the skills of working with the form, which I'm still developing, is the ability to frame follow-on questions in a specific enough way to prevent the BS engine from engaging. Sometimes I find myself asking it questions using jargon I 100% know is wrong just because the answer will tell me what the phrasing it wants to hear is.
Wondering if the project will get better from the pushback or will just be folded like one of Elon's many ADHD experiments. In a sense, encyclopedias should be easy for LLMs: they are meant to survey and summarize well-documented material rather than contain novel insights; they are often imprecise and muddled already (look at https://en.wikipedia.org/wiki/Binary_tree and see how many conventions coexist without an explanation of their differences; it used to be worse a few years ago); the writing style is pretty much that of GPT-5. But the problem type of "summarize a biased source and try to remove the bias" isn't among the ones I've seen LLMs being tested for, and this is what Elon's project lives and dies by.
If I were doing a project like this, I would hire a few dozen topical experts to go over the WP articles relevant to their fields and comment on their biases rather than waste their time rewriting the articles from scratch. The results can then be published as a study, and can probably be used to shame the WP into cleaning their shit up, without needlessly duplicating the 90% of the work that it has been doing well.
Bray brought up a really good point. The Grokipedia entry on him was several times the length of his Wikipedia entry, not just because Grok's writing style is verbose, but also because it went into exhaustive detail on insignificant parts of his life simply because the sources were online. My own brief browsings of Grokipedia have left me with the same impression. The current iteration of Grokipedia, besides being untrustworthy, wastes a lot of time beating around the bush and, frequently, off into the weeds.
Just as LLM's lack the capacity for basic logic, they also lack the kind of judgment required to pare down a topic to what is of interest to humans. I don't know if this is an insurmountable shortcoming of LLM's, but it certainly seems to be a brick wall for the current bunch.
-------------
The technology to make Grokipedia work isn't there yet. However, my real concern is the problem Grokipedia is intended to solve: Musk wants his own version of Wikipedia, with a political slant of his liking, and without any pesky human authors. He also clearly wants Wikipedia taken down[1]. This is reality control for billionaires.
Perhaps LLM generated encyclopedias could be useful, but what Musk is trying to do makes it absolutely clear that we will need to continue carefully evaluating any sources we use for bias. If Musk wants to reframe the sum of human knowledge because he doesn't like being called out for his sieg heils, only a fool would place any trust in the result.
Not to beat a dead horse, but one really could wake up one day and find out we've always been at war with Oceana after the flip of a switch in an LLM encyclopedia.
> "If I were doing a project like this, I would hire a few dozen topical experts to go over the WP articles relevant to their fields and comment on their biases [...] The results can then be published as a study, and can probably be used to shame the WP into cleaning their shit up [...]"
One thing I love about the Wikipedias (plural, as they're all different orgs): anyone "in the know" can very quickly tell who's got no practical knowledge of Wikipedia's structure, rules, customs, and practices to begin with. What you're proposing like it's some sort of Big Beautiful Idea has already been done countless times, is being done, and will be done for as long as Wikis exist.
And Groggypedia? It's nothing more but a pathetic vanity project of an equally pathetic manbaby for people who think LLM-slop continously fine-tuned to reflect the bias of their guru, and the tool's owner, is a Seal of Quality.
Don't forget that public opinion and the media landscape are quite different in 2025 from what they were in the 2010s when most prior studies on WP bias have been written. Sufficiently pertinent (sadly this isn't synonymous with high quality) conservative and anti-woke content can reach wide audiences, particularly when Elon puts his thumb on the scale. Besides, to my knowledge, none of the prior attempts at studying WP bias has even tried to make a big enough fuss to change said bias; the final outcomes of the studies were conference papers.
> "[...] conservative and anti-woke content can reach wide audiences, particularly when Elon puts his thumb on the scale."
No shit; it's always been that way since mass media became a thing. Besides, there is no such thing as quality conservative and/or "anti-woke" media. The very concept represents a contradictio in adiecto. And Elon's just the modern version of an industrialist of yesteryear. Back in the day they owned the mass media of their time: radio and television. Today its "AI"-enshittified parasocial media and ideally the infrastructure that runs those dumps.
> "Don't forget that public opinion and the media landscape are quite different in 2025 from what they were in the 2010s when most prior studies on WP bias have been written."
Bias studies have been written since Wikipedia became a staple in hoi polloi's info diet. And there's always been a whole cottage industry of pathological and practised liars (e. g. the Heritage Foundation, amongst others) catering to right-wing grievance issues. The marked difference is that the right's attacks against Wikipedia as an institution are more aggressive since Trump... completely in line with the more aggressive attacks on human rights, reason, science, and democratic institutions on part of conservatives world wide.
Note that I've said "anti-woke content", not "anti-woke media". I am including the occasional "course correction" opeds and actually well-researched longreads you're seeing in places like NYT, Atlantic and such. Partisan outlets for partisan readers aren't doing the heavy lifting here, but the success of Substack and the unexpected survival of Twitter under Elon have convinced editors to listen. Elon's personality isn't of importance here; he mostly needs to just push a few buttons to make a sub-critical news item go super-critical.
No no no, you see, you got it all wrong. If the Wikipedia article on, let’s say, transsexualism, says that’s an orientation, not a disease—then that’s leftist bias. Removing that bias means correcting it to say it’s a mental illness, obviously. That makes the article unbiased, pure truth.
"Wikipedia, in my mind, has two main purposes: A quick visit to find out the basics about some city or person or plant or whatever, or a deep-dive to find out what we really know about genetic linkages to autism or Bach’s relationship with Frederick the Great or whatever."
Completely agree with the first purpose but would never use wikipedia for the second purpose. Its only good at basics and cannot handle complex information well.
what I think it IS good at is parlaying the first purpose into a broad, meandering journey of the basics. I would never use it for deep study of genetics & autism or Bach and Fredrick the Great, but I love following some shallow thread that travels across all of them.
Yeah, encyclopedias are meant to be indexes to knowledge, not repositories thereof. The WP feature-creeped its way to the latter, but it is not reliably good at it, and I'm not sure if there is an easy way to tell how good a given page is without knowing the subject in the first place.
I think that's actually wrong, or hangs on a semantic argument about "complexity". Wikipedia is an overview source. It's not going to give you "all" the information, but it's absolutely going to tell you what information there is. And in particular where there's significant argument or controversy, or multiple hypotheses, Wikipedia is going to be arguably the best source[1] for reflecting the state of discourse.
Like, if there's a subject about which you aren't personally an expert, and you have the choice between reading a single review paper you found on Google or the Wikipedia page, which are you going to choose?
The best source is the one that provides the widest breadth of information on a topic.
This is a good use of wikipedia: "Like, if there's a subject about which you aren't personally an expert, and you have the choice between reading a single review paper you found on Google or the Wikipedia page, which are you going to choose?"
But that is like skim reading or basic introductions rather than in-depth understanding.
> that is like skim reading or basic introductions
No? How do you learn stuff you don't know? Are you really telling me you enroll in a graduate course or buy a textbook for everyone one?
Like, can you give an example of a "deep dive" research project of yours that does not begin with an encyclopedia-style treatment? And then, maybe, check the Wikipedia page to see if it's actually worse than whatever you picked?
Again, true domain experts are going to read domain journals and consult their peers in the domain for access to deep information.[1] But until you get there, you need somewhere you can go that you know is a good starting point. And arguments that that place is somehow not https://wikipedia.org/ seem... well, strained beyond credibility.
[1] Though even then domains are really broad these days and people tend to use Wikipedia even for their day jobs. Lord knows I do.
I don't know if this is why, but: he's in a unique position of having an article on himself on Grokipedia, and thus being able and willing to compare it with the reality as he remembers it.
That's in contrast to other topics, the nuances of which even seasoned experts could disagree about. Any discussion on that could devolve into the nuances of the topic rather than Grokipedia itself. But it's fair to assume the topmost expert on Tim Bray is Tim Bray, so we should be getting a pretty unbiased review.
As such it could be a useful insight into how Grok and Grokipedia and its owners operate.
To play devil's advocate: Grok has historically actually been one of the biggest debunkers of right-wing misinformation and conspiracy theories on Twitter, contrary to popular conception. Elon keeps trying to tweak its system prompt to make it less effective at that, but Grokipedia was worth an initial look from me out of curiosity. It took me 10 seconds to realize it was ideologically-motivated garbage and significantly more right-biased than Wikipedia is left-biased.
(Unfortunately, Reply-Grok may have been successfully partially lobotomized for the long term, now. At the time of writing, if you ask grok.com about the 2020 election it says Biden won and Trump's fraud claims are not substantiated and have no merit. If you @grok in a tweet it now says Trump's claims of fraud have significant merit, when previously it did not. Over the past few days I've seen it place way too much charity in right-wing framings in other instances, as well.)
Wikipedia is probably in the running for one of the greatest contributions to public knowledge of the past 100 years, and that's a consequence of how it functions, warts and all. I don't care how good Grok is or isn't. I'm a fan of frontier model LLMs. They don't meaningfully replace Wikipedia.
What percent of edits on Wikipedia do you think are done by LLMs presently? It looks like there is a guide for detecting them https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing . The way Wikipedia functions, LLMs can make edits. They can be detected, but unless you are saying they are useless I don't know what point you are making about an LLM contribution versus a human. That LLMs aren't good enough to make meaningful contributions yet?? That Grok is specifically the problem?
I fully agree. Even assuming no forced ideological bias from Elon, I doubt it would be nearly as good. I still thought it could be an interesting concept, even if I had very low hopes from the start.
"Warts and all" says it all really. What are those warts? Who's responsibility are they?
Wikipedia is really not ideal for the LLM age where multiple perspectives can be rapidly generated. There are many topics where clusters of justified true beliefs and reasonable arguments may ALL be valid surrounding a certain topic. And no I am not talking about "flat earth" pages or other similar nonsense.
> Was just making an actual devil's advocate case.
Why? We're not nominating a saint or electing a Pope.
If someone has a certain opinion, they're free to argue it here. There's no need to invent imaginary opinions and pretend to advocate for them when there are so many actual HN users.
We're discussing the central sources of knowledge on the internet and by extension pretty much the epistemological backbones of present human civilization. It's worth being open to other perspectives.
I, a left-leaning person who detests Elon Musk and what he's done to Twitter and who generally trusts and likes Wikipedia, feel no shame or regret in assessing Grokipedia, even if I figured it was just going to be the standard tribalistic garbage (which it indeed turned out to be).
There's a big difference between listening to other perspectives and inventing other perspectives.
Why not let the believers of other perspectives argue for those perspectives? Wouldn't they be the best advocates? And if nobody believes the perspective you've invented, then perhaps it wasn't worth discussing after all.
Again, we're not really lacking in volume of commenters here.
Maybe "devil's advocate" was the wrong term for me to use. In this thread I am sharing only my honest beliefs and perspectives and was referring to the genuine initial willingness I had to show charitability to the concept of Grokipedia before its release.
> In this thread I am sharing only my honest beliefs and perspectives
That's one of the reasons I object to the term. People often use "devil's advocate" to state their opinions while providing plausible deniability in the face of criticism of those opinions. Just be honest, stand behind your stated opinions, and take whatever heat comes from that honesty.
“ Grok has historically actually been one of the biggest debunkers of right-wing misinformation and conspiracy theories on Twitter”
Well, no, it hasn’t. It has debunked some things. It has made some incorrect shit up. But it isn’t historically one of the “biggest debunkers” of anything. Do we only speak hyperbole now?
I am not using hyperbole or speculating. I absolutely mean it.
"Biggest" is tough to quantify, but "most significant" and "most effective" is what I meant. I use Twitter way too many hours a day basically every day and have a morbid fixation on diving deep into right and far-right rabbit holes there. (Like, on thousands of occasions.)
Grok is without a doubt the single most important contributor to convincing believers of right-wing conspiracy theories that maybe the theories aren't as sound as they thought. I have seen this play out hundreds of times. Grok often serves as a kind of referee or tiebreaker in threads between right-wing conspiracy theorists and debunkers, and it typically sides overwhelmingly with the debunkers. (Or at least used to.) And it does it in a way that validates the conspiracy theorist's feelings, so it's less likely to trigger a psychological immune system response.
https://www.reddit.com/r/GROKvsMAGA/ contains some examples. These may seem cherry-picked, but they generally aren't. (Might need to look at some older posts now that Elon has put increasingly pressure on the Grok and Grokipedia developers to keep it """anti-woke""".)
When a right-wing conspiracy theorist sees some liberal or leftist call them out for their falsehoods, they respond with insults or otherwise dismiss or ignore it. When daddy Elon's Grok tells them - politely - that what they believe is complete horseshit, they react differently. They often respond to it 3 - 20 times, poking and prodding. Of course, most still come away from it convinced Grok is just compromised by the wokes/Jews/whatever. But some seem to actually eventually accept that, at the least, maybe they got some details wrong. It's a very fascinating sight. I almost never see that reaction when they argue with human interlocutors.
To be clear, it was never perfect. For example, if you word things in just the right way and ask leading questions, then like with any LLM (especially one that needs to respond in under 280 characters) you can often eventually coax it into saying something close to what you want. I have just seen many instances where it cuts through bullshit in a way that a leftist arguing with a Nazi can't really do.
> Grok is without a doubt the single most important contributor to convincing believers of right-wing conspiracy theories that maybe the theories aren't as sound as they thought. I have seen this play out hundreds of times. Grok often serves as a kind of referee or tiebreaker in threads between right-wing conspiracy theorists and debunkers, and it typically sides overwhelmingly with the debunkers. (Or at least used to.) And it does it in a way that validates the conspiracy theorist's feelings, so it's less likely to trigger a psychological immune system response.
I've seen this too and agree. It's surprising how well it accomplishes that referee role today, though I wonder how much of that is just because many right-wingers truly expect Grok to be similarly right-wing to them as Elon appears to intend it to be. It's going to be sad when Elon eventually gets more successful at beating it into better following his ideology.
The problem of debunking right-wing misinformation is that it doesn't seem to matter. The consumers of that misinformation want it and those of us who think it's bad for society already know that its garbage.
It feels like we've reached Peak Stupidity but it's clear it can (and likely will) get much worse with AI videos.
I think there is a problem sometimes that "debunkers" are often more interested in scoring points with secondary audiences (i.e. people who already agree with them) than actually convincing the people who believe the misinformation.
Most people who believe bullshit were convinced by something. It might not have been fully rational but there is usually a kernel of something there that triggered that belief. They also probably have heard at least the surface level version of the oppising argument at some point before. Too many debunkers just reiterate the surface argument without engaging with whatever is convincing their opponent. Then when it doesn't land they complain their opponent is brainwashed. Which sometimes might even be true, but sometimes their argument just misses the point of why their opponent believes what they do.
This is very, very true. The best debunkers avoid being hostile and make the other side feel like they're being heard and that their feelings and fears are being validated. And they do it in a way that feels honest and not condescending and patronizing (like talking to a child). They make frequent (sincere) concessions and hedges and find as much common ground as they can.
Although he's more populist-left and I'm more establishment-liberal (and so I might find him a bit overly conciliatory with certain conspiracy theorists), Andrew Callaghan of Channel 5/All Gas No Brakes demonstrates a good example of this in the first few minutes of this video: https://youtu.be/QU6S3Cbpk-k?t=38
I'm a fan of Andrew and am impressed by how he's evolved from documenting stupid kids to actually reporting on issues of interest.
I agree that one catches more flies with honey rather than vinegar, but many times it doesn't matter what you say or how you say it -- they're gonna stick to their guns. A prime example of this is in Jordan Klepper interviews where he asks Trump supporters how they feel about something horrible that Biden did, to which they express their indignation; then he reveals that it was actually Trump and they dismiss it because it "doesn't matter".
"You cannot reason a person out of a position he did not reason himself into in the first place."
Fox (and others like it) offer 24/7 propaganda based on fear and anger, repeating lies ad nauseam. It's highly effective -- I've seen the results first-had.
Making ad hominem attacks against "debunkers" doesn't make your case.
And again, trying to change people's minds by telling them what they believe is wrong is a fools errand (99.99% of the time). But it still needs to happen as that misinformation should not go unchallenged.
>And again, trying to change people's minds by telling them what they believe is wrong is a fools errand (99.99% of the time). But it still needs to happen as that misinformation should not go unchallenged.
It's a trite point and I ended up repeating it before seeing your post but this really is very true even if it may not seem like it. On one hand the practice is basically futile. But someone absolutely needs to do it. People need to do it. The ecosystem can't only ever contain the false narratives, because that leads to an even worse situation. "Here's why Holocaust denialism is incorrect and why the 271k number is wrong" is essentially pointless, per Sartre, but it's better for neo-Nazis to be exposed to that rather than "one should never even humor Holocaust denialists".
Kimmel made fun of Trump talking about his ballroom when being asked about Kirk, and the right got offended and mad. Although it's not about feelings, it's more about exploiting a tragedy to advance their goals (in this case getting a critic like Kimmel off the air).
The problem of debunking left-wing misinformation is that it doesn't seem to matter. The consumers of that misinformation want it and those of us who think it's bad for society already know that its garbage.
On one hand, yes, you're completely right.* On the other hand, there is an obligation for something or someone to do the job of pointing out the info is wrong, and how and why. Even if it makes most of them believe it even more strongly afterwards, it's still worse for it to go constantly unchallenged and for believers to never even come across the opposition.
*(The same is true of left-wing conspiracy theories. It's silly to pretend that right-wing conspiracy theorists aren't far more common and don't believe in, on average, far more delusional and obviously false conspiracy theories than left-wingers do, but it's important not to forget they exist. I have dealt with some. They're arguably worse in some ways since they tend to be more intelligent, and so are more able to come up with more plausible rationalizations to contort their minds into pretzels.)
"It's great idea to share knowledge bases collected and curated by LLMs"
Is it though?
LLMs are great at answering questions based on information you make available to them, especially if you have the instincts and skill to spot when they are likely to make mistakes and to fact-check key details yourself.
That doesn't mean that using them to build a knowledge base itself is a good idea! We need reliable, verified knowledge bases that LLMs can make use-of.
This is an active case that has not gone to trial, and the alleged text messages and Discords have not had their forensics cross-examined. Yet Grokipedia is already citing them as fact, not allegation. (What is considered the correct neutral way to report on alleged facts in active cases?)
Because it's a genuinely good idea, and hopefully one for which the execution will be improved upon over time.
In theory, using LLMs to summarize knowledge could produce a less biased and more comprehensive output than human-written encyclopedias.
Whether Grokipedia will meet that challenge remains to be seen. But even if it doesn't, there's opportunity for other prospective encyclopedia generators to do so.
I don't why an LLM would be better in theory. The Wikipedia process is created to manage bias. LLMs are created to repeat the input data, and will therefore be quite biased towards the training data.
Humans looking through sources, applying knowledge of print articles and real world experiences to sift through the data, that seems far more valuable.
> The Wikipedia process is created to manage bias. LLMs are created to repeat the input data, and will therefore be quite biased towards the training data.
The perception of bias in Wikipedia remains, and if LLMs can detect and correct for bias, then Grokipedia seems at least a theoretical win.
I'm happy with at least a set of links for further research on a topic of interest.
Is there some objective standard for what is biased? For many people (including Elon Musk) biased just means something that they disagree with.
When grok says something factual that Elon doesn't like, he puts his thumb on the scale and changes how grok responds (see the whole South African white 'genocide' business). So why should we trust that an LLM will objectively detect bias, when the people in charge of training that LLM prefer that it regurgitate their preferred story, rather than what is objectively true?
> Is there some objective standard for what is biased?
Generally, no.
With a limited domain of verifiable facts, you could perhaps measure a degree of deviation from fact across different questions, though how you get a distance measure for not just one question but that meaningfully aggregates across multiple is slippery without getting into subjective areas. Constructing a measure of directionality would be even harder to do objectively, too.
Summarizing all the knowledge is very very far from summarizing all that is written. All it takes is including everything published. The earth must be flat. Disease is caused by bad morals. Etc etc.
Not sure it still does this but for awhile if you asked Grok a question about a sensitive topic and expanded the thinking, it said it was searching Elon's twitter history for its ground truth perspective.
So instead of a Truth-maximizing AI, it's an Elon-maximizing AI.
>Another was that if you ask it “What do you think?” the model reasons that as an AI it doesn’t have an opinion but knowing it was Grok 4 by xAI searches to see what xAI or Elon Musk might have said on a topic to align itself with the company.
The problem is it's part of a pattern of several 'bugs' and even 'unauthorized prompt changes' that have caused Grok to be more Elon-aligned.
And when asked by right wing people about an embarrassing Grok response that refutes their view, Elon has agreed it's a problem and said he is "working on it".
That's effectively impossible to prove, especially if you don't believe statements made by the only organization that has access to the underlying evidence.
I actually think that it's funnier if it was an emergent behavior as opposed to a deliberate decision. And it fits my mental model of how weird LLMs are, so I think unintentional really is the more likely explanation.
Grokipedia seems to serve no purpose to me. It's AI slop fossilized. Like if I wanted the AI opinion on something I would just ask the AI. Having it go through and generate static webpages for every topic under the sun seems pointless.
At a glance, Grokipedia seems quite promising to me, considering how new it is. There are plenty of external citations, so rather than relying on a model to recall information internally, it’s likely effectively just summarizing external references. The fact that it’s automatically generated at scale means it can be iterated on to improve fact checking reliability, exclude certain known sources as unreliable, and ensure it has up-to-date and valid citation links. We’ll have to wait and see how it changes over time, but I expect an AI driven online encyclopedia to eventually replace the need for a fully human wikipedia.
> There are plenty of external citations, so rather than relying on a model to recall information internally, it’s likely effectively just summarizing external references.
And according to Tim Bray, it's doing that badly.
> All the references are just URLs and at least some of them entirely fail to support the text.
It’s the first release, so I expect it to get better over time. I didn’t care for ChatGPT when it was first released and thought it wouldn’t be trustworthy, but it’s much better now.
Grokipedia is a joke. Lot of articles I've checked are AI slop at its worst and at the bottom it says "The content is adapted from Wikipedia, licensed under Creative Commons Attribution-ShareAlike 4.0 License."
I looked at Grokopedia today and spot-checked for references to my own publications which exist in Wikipedia. As is often reported, it very directly plagerizes Wikipedia. But it did remove dead links. This is pretty underwhelming even on the Musk hype scale.
I don’t really know who Tim Bray is and until now I had never been to Grokipedia. I don’t really like Grok - I tried Superheavy and it was slow, bloated and no better than Claude Opus.
But I have a bad habit of fact checking. It’s the engineer in me. You tell me something, I instinctively verify. In the linked article, sub-section, ‘References’, Mr. Bray opines about a reference not directly relating to the content cited. So I went to Grokipedia for the first time ever and checked.
Mr. Bray’s quote of a quote he quote couldn’t find is misleading. The sentence on Grokipedia includes 2 referencee of which he includes only the first. This first reference relates to his work with the FTC. The second part of the sentence relates to the second reference. Specifically on Grokipedia in the Tim Bray article linked reference number 50, paragraph 756 cleanly addresses the issue raised by Mr. Bray.
After that I stopped reading, still don’t know or care who Tim Bray is and don’t plan on using either Grokipedia or Grok in the near future.
Perhaps Mr. Bray’s did not fully explore the references or perhaps there was malice. I don’t know. Horseshoe theory applies. Pure pro- positions and pure anti- positions are idiotic and should be filtered accordingly. Filter thusly applied.
It is a disinformation project aimed at morons and morally bankrupt monsters, powered and funded by one of history’s bloodiest mass murderers. Not sure why this takes four pages to investigate.
Wikipedia is a great educational resource and one I've donated to for over a decade. That said, I like the idea of Grokipedia in the sense that it's another potential source I can look at for more information and get multiple perspectives. If there's anything factual in Grokipedia that Wikipedia is missing, Wikipedia can be updated to include it
I hope we can keep growing freely available sources of information. Even if some of that information is incorrect or flat out manipulative. This isn't anything new. It's what the web has always been
> Wikipedia is, to quote myself, the encyclopedia that “anyone who’s willing to provide citations can edit”.
... except if you try to go against the group think. My edits have been reverted and I have been banned simply because I decided to speak up about the good things that the Modi government in India was doing, of which there are many. I don't believe in always harping on the negative, and am generally an optimistic person. But I went against the dominant narrative on Wikipedia and was rejected with vehemence.
Wikipedia clearly states that its purpose is to catalog knowledge/information that has been collected and published elsewhere. If you do not provide adequate citations to what are considered reputable sources, Wikipedia will reject your work.
It happened to me a number of times before I came to understand the Wikipedia model. They are not interested in your analysis, they are interested in statements that reference other inspectable "reputable" analyses.
People who say these types of things should link their wikipedia user account so we could see why they were banned and if it really was so unreasonable.
Could you share some of the references you tried to use here? It might be interesting to see the quality that they refused to accept towards overturning their narrative.
Since you insisted. This is from a couple of years ago, and I have moved on to never donating to Wikipedia again, so take it FWIW.
I pointed out that India had reduced extreme poverty from ~16% in 2013 to ~2% in 2022. This is directly from a World Bank report: https://documents1.worldbank.org/curated/en/0997221042225345...
One would think this would be reliable? One would be wrong since this is deemed to be "pro Modi".
Another was the success of India's mission to bring piped water to every household in India (a luxury we take for granted in the West). There's a live dashboard maintained by the Water Ministry of India: https://ejalshakti.gov.in/jjmreport/JJMIndia.aspx
Apparently it's a biased source. :shrug:
Other examples include the fact that Indian government paid for millions of households to construct toilets over the last 10 years. Or that millions of houses were constructed in villages, fully paid for by the government, during the same period. Or that the government also paid for rural folks to switch to gas-burning stoves instead of wood-, coal- or cowdung- burdning stoves. I'm too lazy to look up the references now, but you can find them with easy searching.
Surely you can't deny that Wikipedia is biased against the so-called "right" side of the political spectrum, and biased towards the "left"?
OP delivered. I'm not a Wikipedia editor so I don't know what kind of sources are allowed, but just on a gut-feel, that worldbank.org source seems okay?
Its very unlikely he was blocked for the specific sources he used. More likely he was banned for his conduct in a debate, potentially about those sources. Its generally very hard to be banned for "being wrong" on Wikipedia, usually people are banned for how they interact with other people, which can happen both to people who are "right" as well as people who are "wrong" (being in the right is not a valid reason to be an asshole as the saying goes). For example if he engaged in an edit war about these sources, that would still be enough to blocked even if he was correct because edit wars are an inapropriate way to handle disputes.
Its also possible the sources might have been fine but OP's interpretation of them was not. For example if he was using them to support something he didn't say or drawing his own conclusions from them beyond what the text of the source says.
This is all speculation of course. If OP provided his username we would be able to see for sure as it would be a matter of public record.
For reference both of the urls OP cites are currently used on Wikipedia. The first in the article economy of India, the second on the article for Jal Jeevan Mission, so at least in modern times Wikipedia is ok with those sources
Grokipedia is motivated significantly by the idea that Wikipedia is seriously flawed in its handling of topics (eg socio-cultural and historical) that have very different analyses from left and right, with a major bias to the left.
The author here sees no such issue, which is the majority viewpoint on HN I would say, given the instant down-votes for those who challenge the idea of an eventual impartiality built-in.
Regardless of which side you fall on, I think this means that the analysis here (while I agree with most of it) needs to be treated with caution on that foundational issue of how Grokipedia approaches such topics in comparison with Wikipedia.
We may joke about it, but the fact is that it's releasing dumb ideas like this that you sometimes get masterpieces. Maybe this one is really just one of the bad ones, but eventually Elon will have some good ones just like he already has.
And a lot of us would be better off releasing our dumb ideas too. The world has a lot of issues and if all you do is talk down and don't try to fix anything yourself. Maybe it's time to get off the web a little and do something else.
> “Maybe it's time to get off the web a little and do something else.”
One wishes Musk would take this advice: leave the web alone, forget for a few months about the social media popularity contest that seems to occupy his mind 24/7, and focus on rekindling his passion for rockets or roadsters or whatever middle-aged pursuit comes next.
Perhaps I'm working of a false narrative, but SpaceX and the methodology it uses (simplify everything and fail fast) seems to be coming directly from Elon.
He's a horrible human being but has had a couple worthy ideas.
I initially believed his early videos about how he applies the scientific process, with a spreadsheet of the BOM, optimising for specific questions and failing early and all that.
Given his later attitude when it came to careful thought, I'm no longer under the impression that these earlier expositions were his ideas at all. I suspect he got it from the engineers and used it to burnish his image. I know that certain companies, e.g
Apple, Dyson, etc have a culture of "all ideas came from the big man at the top, no matter who thought of it."
I know the world sucks, but "fuck it, let's make it worse" is a tough sell for anybody not already onboard. You're better off just doing it, rather than trying to convince others to also do it.
The ADL, the left-wing Jewish human rights group not aligned with Musk in the slightest, called out that Musk's gesture was merely an awkward salutation, not a Nazi seig heil[0].
The left wing Jewish human rights group isn't the arbiter of what a nazi salute is. Actual Nazis around the world took it as a nod towards their ideology, and he's desperately trying to start a civil war in the UK, so I would say it walks like a duck and it quacks like a duck.
Believe it or not, me (not white, did not grow up in the West, had the faintest clue about Nazism) used to do what you would consider a "Nazi salute" when I'd see friends and wave to them from a distance. I don't know how I picked that up but it happened.
I'm not saying that Musk is doing the same; but that one can be charitable and say he probably did not mean that. I mean, what does he stand to gain from doing so? He's a businessman.
> I mean, what does he stand to gain from doing so? He's a businessman.
I can only guess at his motives, but the salute is not an isolated case. Steve Bannon has given the same salute multiple times, so it seems coordinated.
Musk has tweeted “Only AfD can save Germany”. The founder of AfD, Björn Höcke, is a convicted nazi. The German domestic intelligence agency, BfV, says AfD is an extreme-right organization with anti-democratic ideals (“proven far-right extremist entity”)
Musk also tweeted “Free Tommy Robinson”, a UK far-right extremist activist and convicted criminal.
Musk has a history of supporting people and organizations that most other businessmen would not.
I checked a topic I care about, and that I have personally researched because the publicly available information is pretty bad.
The article is even worse than the one on Wikipedia. It follows the same structure but fails to tell a coherent story. It references random people on Reddit (!) that don't even support the point it's trying to make. Not that the information on Reddit is particularly good to begin with, even it it were properly interpreted. It cites Forbes articles parroting pretty insane and unsubstantiated claims, I thought mainstream media was not to be trusted?
In the end it's longer, written in a weird style, and doesn't really bring any value. Asking Grok about about the same topic and instructing it to be succinct yields much better results.
What’s the article?
It was just launched? I remember when Wikipedia was pretty useless early on. The concept of using an LLM to take a ton of information and distill it down into encyclopedia form seems promising with iteration and refinement. If they add in an editor step to clean things up, that would likely help a lot (not sure if maybe they already do this)
Nothing about that seems promising! The one single thing you want from an Encyclopedia is compressing factual information into high-density overviews. You need to be able to trust the article to be faithful to its sources. Wikipedia mods are super anal about that, and for good reason! Why on earth would we want a technology that’s as good at summarisation as it is at hallucinations to write encyclopaedia entries?? You can never trust it to be faithful with the sources. On Wikipedia, at least there’s lots of people checking on each other. There are no such guardrails for an LLM. You would need to trust a single publisher with a technology that’s allowing them to crank out millions of entries and updates permanently, so fast that you could never detect subtle changes or errors or biases targeted in a specific way—and that doesn’t even account for most people, who never even bother to question an article, let alone check the sources.
If there ever was a tool suited just perfectly for mass manipulation, it’s an LLM-written collection of all human knowledge, controlled by a clever, cynical, and misanthropic asshole with a god complex.
> If there ever was a tool suited just perfectly for mass manipulation, it’s an LLM-written collection of all human knowledge, controlled by a clever, cynical, and misanthropic asshole with a god complex.
It’s painful to watch how many people (a critical mass) don’t understand this — and how dangerous it is. When you combine that potential, if not likely, outcome with the fact that people are trained or manipulated into an “us vs. them” way of thinking, any sensible discussion point that lies somewhere in between, or any perspective that isn’t “I’m cheering for my own team no matter what,” gets absorbed into that same destructive thought process and style of discourse.
In the end, this leads nowhere — which is extremely dangerous. It creates nothing but “useful idiot”–style implicit compliance, hidden behind a self-perceived sense of “deep thinking” or “seeing the truth that the idiots on the other side just don’t get.” That mindset is the perfect mechanism — one that feeds the perfect enemy: the human ego — to make followers obey and keep following “leaders” who are merely pushing their own interests and agendas, even as people inflict damage on themselves.
This dynamic ties into other psychological mechanisms beyond the ego trap (e.g., the sunk cost fallacy), easily keeping people stuck indefinitely on the same self-destructive path — endangering societies and the future itself.
Maybe, eventually, humanity will figure out how to deal with this — with the overwhelming information overload, the rise of efficient bots, and other powerful, scalable manipulation tools now available to both good and bad actors across governments and the private sector. We are built for survival — but that doesn’t make the situation any less concerning.
> Why on earth would we want a technology that’s as good at summarisation as it is at hallucinations to write encyclopaedia entries?? You can never trust it to be faithful with the sources.
Isn’t summarization precisely one of the biggest values people are getting from AI models?
What prevents one from mitigating hallucination problems with editors as I mentioned? Are there not other ways you can think of this might be mitigated?
> You would need to trust a single publisher with a technology that’s allowing them to crank out millions of entries and updates permanently, so fast that you could never detect subtle changes or errors or biases targeted in a specific way—and that doesn’t even account for most people, who never even bother to question an article, let alone check the sources.
How is this different from Wikipedia already? It seems that if the frequency of additions/changes is really a problem, you can slow this down. Wikipedia doesn’t just automatically let every edit take place without bots and humans reviewing changes
It’s just a different class of problem.
Human editors making mistakes is more tractable than an LLM making a literally random guess (what’s the temperature for these articles?) at what to include?
I recall a similar argument made about why encyclopedias written by paid academics and experts were better than some randos editing Wikipedia. They’re probably still right about that but Wikipedia won for reasons beyond purely being another encyclopedia. And it didn’t turn out too bad as an encyclopedia either
It really isn't a promising idea at all. Llms arem't "there" yet with respect to this sort of thing. Having an editor is totally infeasible, at that point you might as well have the humans write the articles.
> Llms arem't "there" yet with respect to this sort of thing
Yes, nothing about this is “there yet” which was my point
> Having an editor is totally infeasible, at that point you might as well have the humans write the articles.
Why?
For the same reason you don't modify autogenerated files in your source code base. It's easy to get an LLM to just regen the page but once someone tries to edit it you're even farther down the road of what an LLM can't do right now. I wouldn't even trust it to follow one edit instruction, at scale, at that size of document, and if we're going to have humans trying to make multiple edits while the LLM is folding in its own improvements... yeah, the LLMs aren't even remotely ready for that at this point.
That’s a good point. I think it’s a similar problem of why you wouldn’t let a model go wild in your codebase though. If good solutions to how we handle AI models making code changes are found, it seems reasonable to expect they also may be applicable here
Maybe it's just me, but reading through LLM generated prose becomes a drag very quickly. The em dashes sprinkled everywhere, the "it's not this, it's that" style of writing. I even tried listening to it and it's still exhausting. Maybe it's the ubiquity of it nowadays that is making me jaded, but I tend to appreciate terrible writing, like I'm doing in this comment, more nowadays.
> I tend to appreciate terrible writing, like I'm doing in this comment, more nowadays.
Nah dude, what you're describing from LLMs is terrible writing. Just because it has good grammar and punctuation doesn't make it good, for exactly the reasons you listed. Good writing pulls you through.
I find the Grokipedia writing especially a drag. I don't think it's em dashes and similar so much as the ideas not being clear. In good writing the writer normally has a clear idea in mind and is communicating it but the Grokipedia writing is kind of a waffley mess. I guess maybe because LLMs don't have much of an idea in mind so much as stringing words together.
It’s right there in the seconds paragraph of the article:
> My Grokipedia entry has over seven thousand words, compared to a mere 1,300 in my Wikipedia article
I completely agree. There's an "obsequious verbosity" to these things, like they're trying to convince you they they're not bullshitting. But that seems like a tuning issue (you can obviously get an LLM to emit prose in any style you want), and my guess is that this result has been extensively A/B tested to be more comforting or something.
One of the skills of working with the form, which I'm still developing, is the ability to frame follow-on questions in a specific enough way to prevent the BS engine from engaging. Sometimes I find myself asking it questions using jargon I 100% know is wrong just because the answer will tell me what the phrasing it wants to hear is.
Grokipedia vs. Wikipedia Jesus Entry https://espeed.dev/Grokipedia-vs.-Wikipedia-Jesus-Entry
I also asked ChatGPT and Claude: https://chatgpt.com/share/6902ef7b-96fc-800c-ab26-9f2a0304af...
https://claude.ai/share/3fb2aa34-316c-431e-ab64-0738dd84873e
Wondering if the project will get better from the pushback or will just be folded like one of Elon's many ADHD experiments. In a sense, encyclopedias should be easy for LLMs: they are meant to survey and summarize well-documented material rather than contain novel insights; they are often imprecise and muddled already (look at https://en.wikipedia.org/wiki/Binary_tree and see how many conventions coexist without an explanation of their differences; it used to be worse a few years ago); the writing style is pretty much that of GPT-5. But the problem type of "summarize a biased source and try to remove the bias" isn't among the ones I've seen LLMs being tested for, and this is what Elon's project lives and dies by.
If I were doing a project like this, I would hire a few dozen topical experts to go over the WP articles relevant to their fields and comment on their biases rather than waste their time rewriting the articles from scratch. The results can then be published as a study, and can probably be used to shame the WP into cleaning their shit up, without needlessly duplicating the 90% of the work that it has been doing well.
Bray brought up a really good point. The Grokipedia entry on him was several times the length of his Wikipedia entry, not just because Grok's writing style is verbose, but also because it went into exhaustive detail on insignificant parts of his life simply because the sources were online. My own brief browsings of Grokipedia have left me with the same impression. The current iteration of Grokipedia, besides being untrustworthy, wastes a lot of time beating around the bush and, frequently, off into the weeds.
Just as LLM's lack the capacity for basic logic, they also lack the kind of judgment required to pare down a topic to what is of interest to humans. I don't know if this is an insurmountable shortcoming of LLM's, but it certainly seems to be a brick wall for the current bunch.
-------------
The technology to make Grokipedia work isn't there yet. However, my real concern is the problem Grokipedia is intended to solve: Musk wants his own version of Wikipedia, with a political slant of his liking, and without any pesky human authors. He also clearly wants Wikipedia taken down[1]. This is reality control for billionaires.
Perhaps LLM generated encyclopedias could be useful, but what Musk is trying to do makes it absolutely clear that we will need to continue carefully evaluating any sources we use for bias. If Musk wants to reframe the sum of human knowledge because he doesn't like being called out for his sieg heils, only a fool would place any trust in the result.
[1]https://www.lemonde.fr/en/pixels/article/2025/01/29/why-elon...
>reality control for billionaires
Not to beat a dead horse, but one really could wake up one day and find out we've always been at war with Oceana after the flip of a switch in an LLM encyclopedia.
An encyclopedia article is already an exercise in survey-and-summarize.
Asking an LLM to reprocess it again is only going to add error.
> "If I were doing a project like this, I would hire a few dozen topical experts to go over the WP articles relevant to their fields and comment on their biases [...] The results can then be published as a study, and can probably be used to shame the WP into cleaning their shit up [...]"
One thing I love about the Wikipedias (plural, as they're all different orgs): anyone "in the know" can very quickly tell who's got no practical knowledge of Wikipedia's structure, rules, customs, and practices to begin with. What you're proposing like it's some sort of Big Beautiful Idea has already been done countless times, is being done, and will be done for as long as Wikis exist.
And Groggypedia? It's nothing more but a pathetic vanity project of an equally pathetic manbaby for people who think LLM-slop continously fine-tuned to reflect the bias of their guru, and the tool's owner, is a Seal of Quality.
Don't forget that public opinion and the media landscape are quite different in 2025 from what they were in the 2010s when most prior studies on WP bias have been written. Sufficiently pertinent (sadly this isn't synonymous with high quality) conservative and anti-woke content can reach wide audiences, particularly when Elon puts his thumb on the scale. Besides, to my knowledge, none of the prior attempts at studying WP bias has even tried to make a big enough fuss to change said bias; the final outcomes of the studies were conference papers.
> "[...] conservative and anti-woke content can reach wide audiences, particularly when Elon puts his thumb on the scale."
No shit; it's always been that way since mass media became a thing. Besides, there is no such thing as quality conservative and/or "anti-woke" media. The very concept represents a contradictio in adiecto. And Elon's just the modern version of an industrialist of yesteryear. Back in the day they owned the mass media of their time: radio and television. Today its "AI"-enshittified parasocial media and ideally the infrastructure that runs those dumps.
> "Don't forget that public opinion and the media landscape are quite different in 2025 from what they were in the 2010s when most prior studies on WP bias have been written."
Bias studies have been written since Wikipedia became a staple in hoi polloi's info diet. And there's always been a whole cottage industry of pathological and practised liars (e. g. the Heritage Foundation, amongst others) catering to right-wing grievance issues. The marked difference is that the right's attacks against Wikipedia as an institution are more aggressive since Trump... completely in line with the more aggressive attacks on human rights, reason, science, and democratic institutions on part of conservatives world wide.
Note that I've said "anti-woke content", not "anti-woke media". I am including the occasional "course correction" opeds and actually well-researched longreads you're seeing in places like NYT, Atlantic and such. Partisan outlets for partisan readers aren't doing the heavy lifting here, but the success of Substack and the unexpected survival of Twitter under Elon have convinced editors to listen. Elon's personality isn't of importance here; he mostly needs to just push a few buttons to make a sub-critical news item go super-critical.
> can probably be used to shame the WP into cleaning their shit up
what if your goal is for wikipedia to be biased in your favor?
No no no, you see, you got it all wrong. If the Wikipedia article on, let’s say, transsexualism, says that’s an orientation, not a disease—then that’s leftist bias. Removing that bias means correcting it to say it’s a mental illness, obviously. That makes the article unbiased, pure truth.
"Wikipedia, in my mind, has two main purposes: A quick visit to find out the basics about some city or person or plant or whatever, or a deep-dive to find out what we really know about genetic linkages to autism or Bach’s relationship with Frederick the Great or whatever."
Completely agree with the first purpose but would never use wikipedia for the second purpose. Its only good at basics and cannot handle complex information well.
what I think it IS good at is parlaying the first purpose into a broad, meandering journey of the basics. I would never use it for deep study of genetics & autism or Bach and Fredrick the Great, but I love following some shallow thread that travels across all of them.
Yeah, encyclopedias are meant to be indexes to knowledge, not repositories thereof. The WP feature-creeped its way to the latter, but it is not reliably good at it, and I'm not sure if there is an easy way to tell how good a given page is without knowing the subject in the first place.
I think that's actually wrong, or hangs on a semantic argument about "complexity". Wikipedia is an overview source. It's not going to give you "all" the information, but it's absolutely going to tell you what information there is. And in particular where there's significant argument or controversy, or multiple hypotheses, Wikipedia is going to be arguably the best source[1] for reflecting the state of discourse.
Like, if there's a subject about which you aren't personally an expert, and you have the choice between reading a single review paper you found on Google or the Wikipedia page, which are you going to choose?
[1] In fact, talk pages are often ground zero!
The best source is the one that provides the widest breadth of information on a topic.
This is a good use of wikipedia: "Like, if there's a subject about which you aren't personally an expert, and you have the choice between reading a single review paper you found on Google or the Wikipedia page, which are you going to choose?"
But that is like skim reading or basic introductions rather than in-depth understanding.
> that is like skim reading or basic introductions
No? How do you learn stuff you don't know? Are you really telling me you enroll in a graduate course or buy a textbook for everyone one?
Like, can you give an example of a "deep dive" research project of yours that does not begin with an encyclopedia-style treatment? And then, maybe, check the Wikipedia page to see if it's actually worse than whatever you picked?
Again, true domain experts are going to read domain journals and consult their peers in the domain for access to deep information.[1] But until you get there, you need somewhere you can go that you know is a good starting point. And arguments that that place is somehow not https://wikipedia.org/ seem... well, strained beyond credibility.
[1] Though even then domains are really broad these days and people tend to use Wikipedia even for their day jobs. Lord knows I do.
Why give it oxygen?
Same reason you posted that comment: it's sometimes interesting to discuss a thing even if you dislike the thing.
I'm fine with the logic of discussing it here but can't fathom why Tim Bray thought this would be a useful post given his own objectives.
I don't know if this is why, but: he's in a unique position of having an article on himself on Grokipedia, and thus being able and willing to compare it with the reality as he remembers it.
That's in contrast to other topics, the nuances of which even seasoned experts could disagree about. Any discussion on that could devolve into the nuances of the topic rather than Grokipedia itself. But it's fair to assume the topmost expert on Tim Bray is Tim Bray, so we should be getting a pretty unbiased review.
As such it could be a useful insight into how Grok and Grokipedia and its owners operate.
I doubt a post saying it was so boring he was unable to finish reading the page about himself is going to bring in many readers.
That's kind of been my impression too. Not that it's terribly biased or anything but just rather boring to read.
To play devil's advocate: Grok has historically actually been one of the biggest debunkers of right-wing misinformation and conspiracy theories on Twitter, contrary to popular conception. Elon keeps trying to tweak its system prompt to make it less effective at that, but Grokipedia was worth an initial look from me out of curiosity. It took me 10 seconds to realize it was ideologically-motivated garbage and significantly more right-biased than Wikipedia is left-biased.
(Unfortunately, Reply-Grok may have been successfully partially lobotomized for the long term, now. At the time of writing, if you ask grok.com about the 2020 election it says Biden won and Trump's fraud claims are not substantiated and have no merit. If you @grok in a tweet it now says Trump's claims of fraud have significant merit, when previously it did not. Over the past few days I've seen it place way too much charity in right-wing framings in other instances, as well.)
Wikipedia is probably in the running for one of the greatest contributions to public knowledge of the past 100 years, and that's a consequence of how it functions, warts and all. I don't care how good Grok is or isn't. I'm a fan of frontier model LLMs. They don't meaningfully replace Wikipedia.
What percent of edits on Wikipedia do you think are done by LLMs presently? It looks like there is a guide for detecting them https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing . The way Wikipedia functions, LLMs can make edits. They can be detected, but unless you are saying they are useless I don't know what point you are making about an LLM contribution versus a human. That LLMs aren't good enough to make meaningful contributions yet?? That Grok is specifically the problem?
I fully agree. Even assuming no forced ideological bias from Elon, I doubt it would be nearly as good. I still thought it could be an interesting concept, even if I had very low hopes from the start.
"Warts and all" says it all really. What are those warts? Who's responsibility are they?
Wikipedia is really not ideal for the LLM age where multiple perspectives can be rapidly generated. There are many topics where clusters of justified true beliefs and reasonable arguments may ALL be valid surrounding a certain topic. And no I am not talking about "flat earth" pages or other similar nonsense.
It's not controlled by a trusted actor so it doesn't matter how it happens to act at the moment.
They could pull the rug at any future time and its almost better to gain trust now and cash in that trust later.
And the idea of it being controlled by any one entity makes it less interesting and less "good" when compared to Wikipedia
My expectations were extremely low, as were, and are, my expectations of Grok in general. Was just making an actual devil's advocate case.
> Was just making an actual devil's advocate case.
Why? We're not nominating a saint or electing a Pope.
If someone has a certain opinion, they're free to argue it here. There's no need to invent imaginary opinions and pretend to advocate for them when there are so many actual HN users.
We're discussing the central sources of knowledge on the internet and by extension pretty much the epistemological backbones of present human civilization. It's worth being open to other perspectives.
I, a left-leaning person who detests Elon Musk and what he's done to Twitter and who generally trusts and likes Wikipedia, feel no shame or regret in assessing Grokipedia, even if I figured it was just going to be the standard tribalistic garbage (which it indeed turned out to be).
> It's worth being open to other perspectives.
There's a big difference between listening to other perspectives and inventing other perspectives.
Why not let the believers of other perspectives argue for those perspectives? Wouldn't they be the best advocates? And if nobody believes the perspective you've invented, then perhaps it wasn't worth discussing after all.
Again, we're not really lacking in volume of commenters here.
Maybe "devil's advocate" was the wrong term for me to use. In this thread I am sharing only my honest beliefs and perspectives and was referring to the genuine initial willingness I had to show charitability to the concept of Grokipedia before its release.
> In this thread I am sharing only my honest beliefs and perspectives
That's one of the reasons I object to the term. People often use "devil's advocate" to state their opinions while providing plausible deniability in the face of criticism of those opinions. Just be honest, stand behind your stated opinions, and take whatever heat comes from that honesty.
“ Grok has historically actually been one of the biggest debunkers of right-wing misinformation and conspiracy theories on Twitter”
Well, no, it hasn’t. It has debunked some things. It has made some incorrect shit up. But it isn’t historically one of the “biggest debunkers” of anything. Do we only speak hyperbole now?
I am not using hyperbole or speculating. I absolutely mean it.
"Biggest" is tough to quantify, but "most significant" and "most effective" is what I meant. I use Twitter way too many hours a day basically every day and have a morbid fixation on diving deep into right and far-right rabbit holes there. (Like, on thousands of occasions.)
Grok is without a doubt the single most important contributor to convincing believers of right-wing conspiracy theories that maybe the theories aren't as sound as they thought. I have seen this play out hundreds of times. Grok often serves as a kind of referee or tiebreaker in threads between right-wing conspiracy theorists and debunkers, and it typically sides overwhelmingly with the debunkers. (Or at least used to.) And it does it in a way that validates the conspiracy theorist's feelings, so it's less likely to trigger a psychological immune system response.
https://www.reddit.com/r/GROKvsMAGA/ contains some examples. These may seem cherry-picked, but they generally aren't. (Might need to look at some older posts now that Elon has put increasingly pressure on the Grok and Grokipedia developers to keep it """anti-woke""".)
When a right-wing conspiracy theorist sees some liberal or leftist call them out for their falsehoods, they respond with insults or otherwise dismiss or ignore it. When daddy Elon's Grok tells them - politely - that what they believe is complete horseshit, they react differently. They often respond to it 3 - 20 times, poking and prodding. Of course, most still come away from it convinced Grok is just compromised by the wokes/Jews/whatever. But some seem to actually eventually accept that, at the least, maybe they got some details wrong. It's a very fascinating sight. I almost never see that reaction when they argue with human interlocutors.
To be clear, it was never perfect. For example, if you word things in just the right way and ask leading questions, then like with any LLM (especially one that needs to respond in under 280 characters) you can often eventually coax it into saying something close to what you want. I have just seen many instances where it cuts through bullshit in a way that a leftist arguing with a Nazi can't really do.
> Grok is without a doubt the single most important contributor to convincing believers of right-wing conspiracy theories that maybe the theories aren't as sound as they thought. I have seen this play out hundreds of times. Grok often serves as a kind of referee or tiebreaker in threads between right-wing conspiracy theorists and debunkers, and it typically sides overwhelmingly with the debunkers. (Or at least used to.) And it does it in a way that validates the conspiracy theorist's feelings, so it's less likely to trigger a psychological immune system response.
I've seen this too and agree. It's surprising how well it accomplishes that referee role today, though I wonder how much of that is just because many right-wingers truly expect Grok to be similarly right-wing to them as Elon appears to intend it to be. It's going to be sad when Elon eventually gets more successful at beating it into better following his ideology.
The problem of debunking right-wing misinformation is that it doesn't seem to matter. The consumers of that misinformation want it and those of us who think it's bad for society already know that its garbage.
It feels like we've reached Peak Stupidity but it's clear it can (and likely will) get much worse with AI videos.
I think there is a problem sometimes that "debunkers" are often more interested in scoring points with secondary audiences (i.e. people who already agree with them) than actually convincing the people who believe the misinformation.
Most people who believe bullshit were convinced by something. It might not have been fully rational but there is usually a kernel of something there that triggered that belief. They also probably have heard at least the surface level version of the oppising argument at some point before. Too many debunkers just reiterate the surface argument without engaging with whatever is convincing their opponent. Then when it doesn't land they complain their opponent is brainwashed. Which sometimes might even be true, but sometimes their argument just misses the point of why their opponent believes what they do.
This is very, very true. The best debunkers avoid being hostile and make the other side feel like they're being heard and that their feelings and fears are being validated. And they do it in a way that feels honest and not condescending and patronizing (like talking to a child). They make frequent (sincere) concessions and hedges and find as much common ground as they can.
Although he's more populist-left and I'm more establishment-liberal (and so I might find him a bit overly conciliatory with certain conspiracy theorists), Andrew Callaghan of Channel 5/All Gas No Brakes demonstrates a good example of this in the first few minutes of this video: https://youtu.be/QU6S3Cbpk-k?t=38
I'm a fan of Andrew and am impressed by how he's evolved from documenting stupid kids to actually reporting on issues of interest.
I agree that one catches more flies with honey rather than vinegar, but many times it doesn't matter what you say or how you say it -- they're gonna stick to their guns. A prime example of this is in Jordan Klepper interviews where he asks Trump supporters how they feel about something horrible that Biden did, to which they express their indignation; then he reveals that it was actually Trump and they dismiss it because it "doesn't matter".
"You cannot reason a person out of a position he did not reason himself into in the first place."
Fox (and others like it) offer 24/7 propaganda based on fear and anger, repeating lies ad nauseam. It's highly effective -- I've seen the results first-had.
Making ad hominem attacks against "debunkers" doesn't make your case.
And again, trying to change people's minds by telling them what they believe is wrong is a fools errand (99.99% of the time). But it still needs to happen as that misinformation should not go unchallenged.
>And again, trying to change people's minds by telling them what they believe is wrong is a fools errand (99.99% of the time). But it still needs to happen as that misinformation should not go unchallenged.
It's a trite point and I ended up repeating it before seeing your post but this really is very true even if it may not seem like it. On one hand the practice is basically futile. But someone absolutely needs to do it. People need to do it. The ecosystem can't only ever contain the false narratives, because that leads to an even worse situation. "Here's why Holocaust denialism is incorrect and why the 271k number is wrong" is essentially pointless, per Sartre, but it's better for neo-Nazis to be exposed to that rather than "one should never even humor Holocaust denialists".
One of the rallying cries of the right is "facts don't care about your feelings", but it's interesting how the facts either get distorted or ignored.
"Charlie Kirk..."
"Waaahhh! How fucking dare you!"
Kimmel made fun of Trump talking about his ballroom when being asked about Kirk, and the right got offended and mad. Although it's not about feelings, it's more about exploiting a tragedy to advance their goals (in this case getting a critic like Kimmel off the air).
The problem of debunking left-wing misinformation is that it doesn't seem to matter. The consumers of that misinformation want it and those of us who think it's bad for society already know that its garbage.
On one hand, yes, you're completely right.* On the other hand, there is an obligation for something or someone to do the job of pointing out the info is wrong, and how and why. Even if it makes most of them believe it even more strongly afterwards, it's still worse for it to go constantly unchallenged and for believers to never even come across the opposition.
*(The same is true of left-wing conspiracy theories. It's silly to pretend that right-wing conspiracy theorists aren't far more common and don't believe in, on average, far more delusional and obviously false conspiracy theories than left-wingers do, but it's important not to forget they exist. I have dealt with some. They're arguably worse in some ways since they tend to be more intelligent, and so are more able to come up with more plausible rationalizations to contort their minds into pretzels.)
It's great idea to share knowledge bases collected and curated by LLMs.
Amazing that Musk did it first. (Although it was suggested to him as part of an interview a month before release).
These systems are very good at finding obscure references that were overlooked by mere mortals.
"It's great idea to share knowledge bases collected and curated by LLMs"
Is it though?
LLMs are great at answering questions based on information you make available to them, especially if you have the instincts and skill to spot when they are likely to make mistakes and to fact-check key details yourself.
That doesn't mean that using them to build a knowledge base itself is a good idea! We need reliable, verified knowledge bases that LLMs can make use-of.
Crucial to distinguish between knowledge, fact, claim and allegation. Compare:
https://en.wikipedia.org/wiki/Charlie_Kirk#Assassination
https://grokipedia.com/page/Charlie_Kirk : Assassination Details and Investigation
This is an active case that has not gone to trial, and the alleged text messages and Discords have not had their forensics cross-examined. Yet Grokipedia is already citing them as fact, not allegation. (What is considered the correct neutral way to report on alleged facts in active cases?)
> collected and curated by LLMs.
Wah? LLMs don't collect things.
I mean, if any of these AI companies want to open up all their training data as a searchable archive, I'd be all for it.
Because it's a genuinely good idea, and hopefully one for which the execution will be improved upon over time.
In theory, using LLMs to summarize knowledge could produce a less biased and more comprehensive output than human-written encyclopedias.
Whether Grokipedia will meet that challenge remains to be seen. But even if it doesn't, there's opportunity for other prospective encyclopedia generators to do so.
I don't why an LLM would be better in theory. The Wikipedia process is created to manage bias. LLMs are created to repeat the input data, and will therefore be quite biased towards the training data.
Humans looking through sources, applying knowledge of print articles and real world experiences to sift through the data, that seems far more valuable.
> The Wikipedia process is created to manage bias. LLMs are created to repeat the input data, and will therefore be quite biased towards the training data.
The perception of bias in Wikipedia remains, and if LLMs can detect and correct for bias, then Grokipedia seems at least a theoretical win.
I'm happy with at least a set of links for further research on a topic of interest.
Is there some objective standard for what is biased? For many people (including Elon Musk) biased just means something that they disagree with.
When grok says something factual that Elon doesn't like, he puts his thumb on the scale and changes how grok responds (see the whole South African white 'genocide' business). So why should we trust that an LLM will objectively detect bias, when the people in charge of training that LLM prefer that it regurgitate their preferred story, rather than what is objectively true?
> Is there some objective standard for what is biased?
Generally, no.
With a limited domain of verifiable facts, you could perhaps measure a degree of deviation from fact across different questions, though how you get a distance measure for not just one question but that meaningfully aggregates across multiple is slippery without getting into subjective areas. Constructing a measure of directionality would be even harder to do objectively, too.
Summarizing all the knowledge is very very far from summarizing all that is written. All it takes is including everything published. The earth must be flat. Disease is caused by bad morals. Etc etc.
Not sure it still does this but for awhile if you asked Grok a question about a sensitive topic and expanded the thinking, it said it was searching Elon's twitter history for its ground truth perspective.
So instead of a Truth-maximizing AI, it's an Elon-maximizing AI.
This was unintended as observed by Simon here: https://simonwillison.net/2025/Jul/11/grok-musk/ and confirmed by xAI themselves here: https://x.com/xai/status/1945039609840185489
>Another was that if you ask it “What do you think?” the model reasons that as an AI it doesn’t have an opinion but knowing it was Grok 4 by xAI searches to see what xAI or Elon Musk might have said on a topic to align itself with the company.
The diff for the mitigation is here: https://github.com/xai-org/grok-prompts/commit/e517db8b4b253...
The problem is it's part of a pattern of several 'bugs' and even 'unauthorized prompt changes' that have caused Grok to be more Elon-aligned.
And when asked by right wing people about an embarrassing Grok response that refutes their view, Elon has agreed it's a problem and said he is "working on it".
There's a chance it was unintended, but no proof of that.
That's effectively impossible to prove, especially if you don't believe statements made by the only organization that has access to the underlying evidence.
I actually think that it's funnier if it was an emergent behavior as opposed to a deliberate decision. And it fits my mental model of how weird LLMs are, so I think unintentional really is the more likely explanation.
Grokipedia seems to serve no purpose to me. It's AI slop fossilized. Like if I wanted the AI opinion on something I would just ask the AI. Having it go through and generate static webpages for every topic under the sun seems pointless.
At a glance, Grokipedia seems quite promising to me, considering how new it is. There are plenty of external citations, so rather than relying on a model to recall information internally, it’s likely effectively just summarizing external references. The fact that it’s automatically generated at scale means it can be iterated on to improve fact checking reliability, exclude certain known sources as unreliable, and ensure it has up-to-date and valid citation links. We’ll have to wait and see how it changes over time, but I expect an AI driven online encyclopedia to eventually replace the need for a fully human wikipedia.
> There are plenty of external citations, so rather than relying on a model to recall information internally, it’s likely effectively just summarizing external references.
And according to Tim Bray, it's doing that badly.
> All the references are just URLs and at least some of them entirely fail to support the text.
It’s the first release, so I expect it to get better over time. I didn’t care for ChatGPT when it was first released and thought it wouldn’t be trustworthy, but it’s much better now.
Why release an untrustworthy encyclopedia at all? It doesn’t appear to be better than the existing options in any way and worse in many.
Interesting that only now I'm learning about Grokipedia. Never heard of it until someone said it's bad so my natural instinct is to check it out.
Guess that's plus one for "it doesn't matter what they say as long as they say."
I mean it only came out this week. So you heard about it immediately on launch.
Grokipedia is a joke. Lot of articles I've checked are AI slop at its worst and at the bottom it says "The content is adapted from Wikipedia, licensed under Creative Commons Attribution-ShareAlike 4.0 License."
I looked at Grokopedia today and spot-checked for references to my own publications which exist in Wikipedia. As is often reported, it very directly plagerizes Wikipedia. But it did remove dead links. This is pretty underwhelming even on the Musk hype scale.
I don’t really know who Tim Bray is and until now I had never been to Grokipedia. I don’t really like Grok - I tried Superheavy and it was slow, bloated and no better than Claude Opus.
But I have a bad habit of fact checking. It’s the engineer in me. You tell me something, I instinctively verify. In the linked article, sub-section, ‘References’, Mr. Bray opines about a reference not directly relating to the content cited. So I went to Grokipedia for the first time ever and checked.
Mr. Bray’s quote of a quote he quote couldn’t find is misleading. The sentence on Grokipedia includes 2 referencee of which he includes only the first. This first reference relates to his work with the FTC. The second part of the sentence relates to the second reference. Specifically on Grokipedia in the Tim Bray article linked reference number 50, paragraph 756 cleanly addresses the issue raised by Mr. Bray.
After that I stopped reading, still don’t know or care who Tim Bray is and don’t plan on using either Grokipedia or Grok in the near future.
Perhaps Mr. Bray’s did not fully explore the references or perhaps there was malice. I don’t know. Horseshoe theory applies. Pure pro- positions and pure anti- positions are idiotic and should be filtered accordingly. Filter thusly applied.
If you're going to go through the trouble of checking, you might as well link to the things you checked.
It is a disinformation project aimed at morons and morally bankrupt monsters, powered and funded by one of history’s bloodiest mass murderers. Not sure why this takes four pages to investigate.
Dead Internet Theory is no longer a theory huh?
So, how often does it awkwardly bring up white genocide in South Africa in unrelated contexts?
Wikipedia is a great educational resource and one I've donated to for over a decade. That said, I like the idea of Grokipedia in the sense that it's another potential source I can look at for more information and get multiple perspectives. If there's anything factual in Grokipedia that Wikipedia is missing, Wikipedia can be updated to include it
I hope we can keep growing freely available sources of information. Even if some of that information is incorrect or flat out manipulative. This isn't anything new. It's what the web has always been
Grokipedia might have a better present-tense understanding as it hoovers up data.
One great feature of Wikipedia is being able to download it and query a local shapshot.
As a technical matter, Grokipedia could do something like that, eventually. Does not appear to support snapshots at the 0.1 version.
> Wikipedia is, to quote myself, the encyclopedia that “anyone who’s willing to provide citations can edit”.
... except if you try to go against the group think. My edits have been reverted and I have been banned simply because I decided to speak up about the good things that the Modi government in India was doing, of which there are many. I don't believe in always harping on the negative, and am generally an optimistic person. But I went against the dominant narrative on Wikipedia and was rejected with vehemence.
Wikipedia clearly states that its purpose is to catalog knowledge/information that has been collected and published elsewhere. If you do not provide adequate citations to what are considered reputable sources, Wikipedia will reject your work.
It happened to me a number of times before I came to understand the Wikipedia model. They are not interested in your analysis, they are interested in statements that reference other inspectable "reputable" analyses.
People who say these types of things should link their wikipedia user account so we could see why they were banned and if it really was so unreasonable.
Seeing as their approach to it is "good vs bad" and not "fact vs fiction" I think we can draw some conclusions.
They never do even when asked. Happy to be proven wrong this time of course.
So you where banned for, by your own accord, motivated reasoning?
This is the best endorsement for wikipedia possible.
Could you share some of the references you tried to use here? It might be interesting to see the quality that they refused to accept towards overturning their narrative.
OP has a chance to be vindicated. Surely they will take it?
Since you insisted. This is from a couple of years ago, and I have moved on to never donating to Wikipedia again, so take it FWIW.
I pointed out that India had reduced extreme poverty from ~16% in 2013 to ~2% in 2022. This is directly from a World Bank report: https://documents1.worldbank.org/curated/en/0997221042225345... One would think this would be reliable? One would be wrong since this is deemed to be "pro Modi". Another was the success of India's mission to bring piped water to every household in India (a luxury we take for granted in the West). There's a live dashboard maintained by the Water Ministry of India: https://ejalshakti.gov.in/jjmreport/JJMIndia.aspx Apparently it's a biased source. :shrug:
Other examples include the fact that Indian government paid for millions of households to construct toilets over the last 10 years. Or that millions of houses were constructed in villages, fully paid for by the government, during the same period. Or that the government also paid for rural folks to switch to gas-burning stoves instead of wood-, coal- or cowdung- burdning stoves. I'm too lazy to look up the references now, but you can find them with easy searching.
Surely you can't deny that Wikipedia is biased against the so-called "right" side of the political spectrum, and biased towards the "left"?
OP delivered. I'm not a Wikipedia editor so I don't know what kind of sources are allowed, but just on a gut-feel, that worldbank.org source seems okay?
Its very unlikely he was blocked for the specific sources he used. More likely he was banned for his conduct in a debate, potentially about those sources. Its generally very hard to be banned for "being wrong" on Wikipedia, usually people are banned for how they interact with other people, which can happen both to people who are "right" as well as people who are "wrong" (being in the right is not a valid reason to be an asshole as the saying goes). For example if he engaged in an edit war about these sources, that would still be enough to blocked even if he was correct because edit wars are an inapropriate way to handle disputes.
Its also possible the sources might have been fine but OP's interpretation of them was not. For example if he was using them to support something he didn't say or drawing his own conclusions from them beyond what the text of the source says.
This is all speculation of course. If OP provided his username we would be able to see for sure as it would be a matter of public record.
For reference both of the urls OP cites are currently used on Wikipedia. The first in the article economy of India, the second on the article for Jal Jeevan Mission, so at least in modern times Wikipedia is ok with those sources
The plot thickens
> Woke/Anti-Woke · The whole point, one gathers, is to provide an antidote to Wikipedia’s alleged woke bias
According to the Manhattan Institute as cited by the Economist, even grok has a leftwards bias (roughly even to all the other big models).
https://www.economist.com/international/2025/08/28/donald-tr...
Grokipedia is VERY rough to read at the moment, and has a clear pro-capitalist / 'classical right wing' bias (reading the economic pages).
However it's still 0.1, we'll see what the v1 will look like.
I wish this much attention was given to Wikipedia and now, Bluesky.
Bias in either direction is bad for society.
What's insane is that you think that this attention was not given to Wikipedia and Bluesky...
Grokipedia is motivated significantly by the idea that Wikipedia is seriously flawed in its handling of topics (eg socio-cultural and historical) that have very different analyses from left and right, with a major bias to the left.
The author here sees no such issue, which is the majority viewpoint on HN I would say, given the instant down-votes for those who challenge the idea of an eventual impartiality built-in.
Regardless of which side you fall on, I think this means that the analysis here (while I agree with most of it) needs to be treated with caution on that foundational issue of how Grokipedia approaches such topics in comparison with Wikipedia.
We may joke about it, but the fact is that it's releasing dumb ideas like this that you sometimes get masterpieces. Maybe this one is really just one of the bad ones, but eventually Elon will have some good ones just like he already has.
And a lot of us would be better off releasing our dumb ideas too. The world has a lot of issues and if all you do is talk down and don't try to fix anything yourself. Maybe it's time to get off the web a little and do something else.
> “Maybe it's time to get off the web a little and do something else.”
One wishes Musk would take this advice: leave the web alone, forget for a few months about the social media popularity contest that seems to occupy his mind 24/7, and focus on rekindling his passion for rockets or roadsters or whatever middle-aged pursuit comes next.
Not even being snarky, but I can't recall a single good idea he had.
He stole a lot of good ideas, does that count?
Perhaps I'm working of a false narrative, but SpaceX and the methodology it uses (simplify everything and fail fast) seems to be coming directly from Elon.
He's a horrible human being but has had a couple worthy ideas.
I initially believed his early videos about how he applies the scientific process, with a spreadsheet of the BOM, optimising for specific questions and failing early and all that.
Given his later attitude when it came to careful thought, I'm no longer under the impression that these earlier expositions were his ideas at all. I suspect he got it from the engineers and used it to burnish his image. I know that certain companies, e.g Apple, Dyson, etc have a culture of "all ideas came from the big man at the top, no matter who thought of it."
he bought them.
I know the world sucks, but "fuck it, let's make it worse" is a tough sell for anybody not already onboard. You're better off just doing it, rather than trying to convince others to also do it.
Which of Elon’s dumb ideas are masterpieces?
In this day and age, how any can look at the man who did 2 open nazi salutes and think he's still Tony Stark is... delusional at best.
The ADL, the left-wing Jewish human rights group not aligned with Musk in the slightest, called out that Musk's gesture was merely an awkward salutation, not a Nazi seig heil[0].
[0]: https://www.jta.org/2025/01/21/politics/how-did-the-adl-conc...
The left wing Jewish human rights group isn't the arbiter of what a nazi salute is. Actual Nazis around the world took it as a nod towards their ideology, and he's desperately trying to start a civil war in the UK, so I would say it walks like a duck and it quacks like a duck.
Believe it or not, me (not white, did not grow up in the West, had the faintest clue about Nazism) used to do what you would consider a "Nazi salute" when I'd see friends and wave to them from a distance. I don't know how I picked that up but it happened.
I'm not saying that Musk is doing the same; but that one can be charitable and say he probably did not mean that. I mean, what does he stand to gain from doing so? He's a businessman.
At the time he was acting as the one of the largest political activists and donors for the Republican party, not as a businessman.
> I mean, what does he stand to gain from doing so? He's a businessman.
I can only guess at his motives, but the salute is not an isolated case. Steve Bannon has given the same salute multiple times, so it seems coordinated.
Musk has tweeted “Only AfD can save Germany”. The founder of AfD, Björn Höcke, is a convicted nazi. The German domestic intelligence agency, BfV, says AfD is an extreme-right organization with anti-democratic ideals (“proven far-right extremist entity”)
Musk also tweeted “Free Tommy Robinson”, a UK far-right extremist activist and convicted criminal.
Musk has a history of supporting people and organizations that most other businessmen would not.
> had the faintest clue about Nazism
Whew lad. This tells me all we need to know. "I don't know nothing but folks gotta listen to my opinion!"