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Posted by jatins 13 hours ago

How accurate have Ed Zitron's AI skeptic predictions been?(danluu.com)
643 points | 697 commentspage 5
brikym 11 hours ago|
Zitron sells anti-hype and AI-hate. AI is not good for a lot of people and he's telling them what they want to hear. He's great at talking and making entertaining facial expressions. That's actually a real skill I admire but it has nothing to do with predicting markets correctly. He's in the business of selling entertainment views not predicting markets. He even admits he doesn't short AI.
elictronic 8 hours ago|
Zitron sells AI is in a huge bubble. Which basically everyone agrees with who isn't directly incentivized to say it looks perfectly normal.

Personally, I don't bet in rigged games, which is what all the circular financing is.

xbmcuser 11 hours ago||
I think lot of people including Ed are mixing 2 things the AI tech itself and the economic viability with the inflated values of companies building it currently. Me personally I am optimistic about the tech itself but don't see the current AI companies valuations being realistic or even the economic systems they are building around AI/LLM. As it will all be comoditised down to cost of compute + cost of electricity in the end.
jrflo 12 hours ago||
Thanks for putting this together, his writing really aggravates me and it was nice to see all of his predictions put together in one spot.

It's interesting how he has pivoted from denying that LLMs are useful to accusing frontier labs of Enron-scale fraud.

I suppose it's the natural pivot you have to make when your whole business is an anti-AI newsletter that costs $7 per month.

onemoresoop 12 hours ago||
The fraud is there. Whether it surpasses Enron or not will be revealed in the future.
arctic-true 12 hours ago|||
To commit fraud you have to lie, deceive, or conceal. All of this bonkers financing is happening in broad daylight, announced to the markets, and met with rave reviews. I tend to agree with Zitron that the whole thing is a castle made of sand - not because the tech is bad or useless but because the financing, in its scope and structure, is so outlandish - but you can build a castle made of sand as long as you don’t tell anyone it’s made of steel.
dgellow 12 hours ago||||
So far NVIDIA has been very careful, it’s not actual fraud, at least based on public information. It’s a very unstable and extremely risky bet, that is very likely to blow in the face face of AI companies, but it’s not fraud
windexh8er 12 hours ago||
I think a lot of people (myself included) would love for it to be fraud. Because even if it's not fraud what is being done between NVidia, OAI, Anthropic, Microsoft, Meta, Musk and Google is funny accounting at the very least. It's hard to take any part of what's going on seriously in the US at this point and I feel like the bigger downside to all of this is that if/when they get away with this, and there are no repurcussions for any of the big names involved, then it erodes consumer trust that much further, pushing us deeper into a state of "doesn't matter anyway, why try".
dgellow 12 hours ago||
Yes, you can include me too. I’m aware enough of the details to know we don’t have any proof of anything fraudulent, but that whole situation is just so disgusting
Karrot_Kream 8 hours ago||
Doesn't this ultimately boil down to: other people are spending their money on things I don't want them to? Which I mean, yeah I feel like this about tons of things all the time. I'm human too. But I know this is a petty part of me not a thoughtful part.
tim333 9 hours ago||||
Patrick Boyle had a vid specifically on whether there was Enron style fraud. The conclusion was no, though he thinks things may be a bit bubbly https://youtu.be/NufJ7g63KSY
misswaterfairy 7 hours ago||
It's worth considering that it might not be 'Enron-style' fraud, because that's the best comparison have at the moment.

What event did people compare Enron to, before Enron became 'Enron'?

It's probable we're witnessing an entirely new fraud, we just don't have all of the details yet.

supern0va 4 hours ago||
Why? If there's no evidence of fraud, why are you imagining some new category of fraud that these companies have independently conjured up?

Suggesting that an entire industry is in cahoots to invent and participate in an entirely new fraud-like scheme, including companies that have lots of wealth and growth and much to lose from such an exposure...seems awfully conspiratorial, don't you think?

jrflo 12 hours ago|||
There is no evidence of fraud that I have seen beyond complete speculation from the likes of Zitron. He basically just says "Look how big the numbers are! It's so big it must be fraud!"
dgellow 12 hours ago||
Zitron himself doesn’t call it fraud and doesn’t compare it to Enron (he said no, with his reasoning when asked in interviews, multiple times)
jrflo 12 hours ago||
I was thinking of this article where he compares OpenAI to enron: https://www.wheresyoured.at/what-happens-if-openai-dies/
dgellow 12 hours ago||
Do you mean this section?

> If you are going to look at this and say “actually it didn’t” because of its Enrontastic accounting treatment, I also need to warn you — that identical guy in the bathroom is actually a thing called a “mirror,” a reflective surface that is showing you a reflection of you, not another person who is dressed like you and copies everything you do. I can’t imagine how scared you’ve been, and hope this has helped.

That’s his weird writing style, so I’m not 100% sure, but I don’t think he literally means that OpenAI is committing Enron style fraud. More of a stylistic way to say it’s a mess

jrflo 11 hours ago||
He also alludes to it here:

>What follows may be an Enron-Lehman Brothers hybrid, one that leaves unbelievable destruction in its wake, an avoidable systemic risk empowered and enabled by a kneecapped media industry and sell-side analysts incapable of seeing further than two quarters in the future.

He also mocks the financial statements from the companies in a way that alludes to them being fraudulent (from the OP):

> February 2025: Anthropic making $34.5B in revenue 2027 is "is laughable on many levels, chief of which is that OpenAI, which made around twice as much revenue as Anthropic did in 2024, barely made a billion dollars from API calls in the same year."

    Wrong (whether or not they make that in 2027, their 2026 ARR greatly exceeding that makes the 2027 estimate non-laughable)
> Oct 2024: OpenAI's forecast of $3.7B revenue in 2024 and $11.6B in 2025 and $100B in 2029 are absurd, "a statement so egregious that I am surprised it's not some kind of financial crime to say it out loud"

    Wrong (2025 goal exceeded, 2029 TBD but not an egregious financial crime level of implausible)
I'm realizing that he is very good at alluding to gross financial crimes without outright accusing them of it (probably as a hedge against libel or something)
watwut 12 hours ago||
He LITERALLY said it is not like Enron. And repeated it.
jrflo 12 hours ago|||
I was thinking of this article where he compares OpenAI to Enron twice: https://www.wheresyoured.at/what-happens-if-openai-dies/

You're right that he doesn't explicitly say enron-scale fraud, that's just what I came away with from reading the article a while back.

tootie 12 hours ago|||
I haven't read every word but I don't recall him saying AI is bad or useless ever either. His refrain is that they cannot keep up with their endless spending on training and they're not reaching new markets.

I look at the rapid rise and decline of OpenClaw and get the impression AI has not really found any foothold among average people.

jrflo 11 hours ago|||
From the OP:

August 2024: "generative AI is a dead-end technology that has peaked”

July 2024: "Generative AI models aren’t getting more energy-efficient, nor are they getting more “powerful” in a way that would increase their functionality"

Nov 2025: "the fact we're running out of high quality training data and we're hitting the walls of scaling laws, in the training paradigm, these models aren't getting better. What we're seeing today is pretty much what they're always gonna be like"

There are other examples too from his prose of talking about how they are barely useful but I don't want to dig it up

dgellow 11 hours ago|||
> I don't recall him saying AI is bad or useless ever either.

He does say that pretty often in interviews. That doesn’t change his thesis but that‘s one reasonable reason people dismiss him, he has often said that AI is useless when considering the externalities. And he will sometimes take a shortcut and just say „it’s useless, doesn’t do anything well“, which is of course way too simplified.

qw2817 11 hours ago||
Examining Dan Luu's predictions would be harder since he doesn't even date his articles.

Was this hit piece prompted by Zitron being mentioned in the tech scene lately?

https://lwn.net/Articles/1091245/

I don't know. If you post walls of text and ramble on like Luu, perhaps you are sitting in a glass house?

tomjakubowski 9 hours ago||
the dates of his articles (well, month and year) are all here: https://danluu.com/
ai_critic 11 hours ago||
Luu kinda has a reputation for knowing his shit, for over a decade now. He's not a checks notes games journalist larping as economist, but he does all right.
aksj5Hg 11 hours ago||
He may be a good programmer, but I have never seen any interesting article from him. Also, making predictions is different from being knowledgeable.

It is ironic that Zitron is accused of having a cult following whereas Luu clearly has one, here at least.

anonymous_user9 12 hours ago||
Fair enough on Zitron being wrong, but I think the opening argument about Meta, Google, and Microsoft misunderstands his point.

Zitron is saying that the hyperscalers had no genuine growth opportunities, so they're using the AI bubble to achieve growth. The fact that they've continued to grow for a few years doesn't contradict his point, and Meta's steadily decreasing profit margin certainly doesn't look healthy.

stego-tech 12 hours ago|
Seconding that observation. The IT folks in charge of the compute direction have been quietly raising those concerns for over a decade (“and what happens to those alleged lower costs when their attention diverts to a new industry or pumping margins for shareholders?”), and the major enterprises or customers had all but migrated wholesale into public CSPs - and been eyeing the exit when they finally opened those eye-watering bills IT had kept forwarding to stakeholders. The industry wasn’t going to collapse so much as right-size, and that would turn into an inevitable cycle of churn (higher prices to drive margins, leading to more customers leaving in part or in whole, which would drive up costs higher to continue delivering positive results, ad infinitum).

The current AI build and boom has done wonders to their bottom lines in the immediate, but even Wall Street has its limits, and it sounds like there’s decreasing appetite for such CAPEX builds without associated proven revenue. That might kill some companies outright, but more likely it’ll force the major CSPs into the churn cycle that much faster.

mattbrewsbytes 9 hours ago||
How often are people that are paid by their content attracting eyeballs correct? Isn't this a universal thing that people in these roles are constantly stating all sorts of things that never happen. This happens in sports media, politics, tech reporting, stock market predictions, etc.

Shouldn't society have a clever name for people playing these roles by now? Something catchy, insulting and based on truth might help call this out easier. I would throw influencers in there too, they are writing/video-loggin/podcasting for the same money outcome.

eaglelamp 7 hours ago||
The first section of this post responding to "Meta, Google, and Microsoft are dying" is completely misrepresenting Zitron's arguments in the linked video. Zitron is making essentially an enshitification argument concerning Google and Meta. He's not talking about whether they will be able to squeeze out more revenue in the short run, but how they are willing to abuse their users to ensure that they do. Citing increased revenue for these companies is not arguing against Zitron's point.

Luu also fixates on Zitron mentioning Prabhakar Raghavan, but then proceeds to agree with Zitron's core point that Google has intentionally degraded it's search product to maximize revenue. Maybe Raghavan is not solely responsible, but it seems fair to hold him accountable for trends that accelerated under his leadership.

borzi 2 hours ago||
I agree that Zitron is not honest and a denialist regarding the usefulness of AI, but the "profit" chart is just completely misleading as most of these companies have made large investments in OpenAI/Anthropic and list the gains in their share price as "profits" - so yes, while the asset prices are rising, that's typical in any financial bubble. Google is actually cash flow negative for the first time in history (which imo should be what measures profitability: income from products and services - costs to produce them) so Zitron's core thesis that there are no returns in AI is playing out as far as I can tell...
thelastgallon 2 hours ago|
circular financing, layers of financial engineering: https://news.ycombinator.com/item?id=48424983

Also, Google's recent profits are boosted from including SpaceX. $94.18 billion.

https://finance.yahoo.com/markets/stocks/articles/google-par...: On Aug. 6, Alphabet filed its 13F with regulators covering its second-quarter trading activity. Given that SpaceX went public on June 12, Google's parent company is now required to include its SpaceX holdings in its quarterly 13F.

jsrozner 10 hours ago||
Though the bubble has not popped, I don't see the following discussed in the post: Zitron would probably point out (as have others) that many of the hyperscalers are booking valuation increases in Anthropic, OpenAI as "Other Income", which is substantially increasing their reported revenue and earnings. It's roughly:

- Hyperscalers like Goog, Meta, Msft invest cash in Anthropic, OpenAI, in exchange for equity

- The ongoing investment actually boosts the valuations in the Anthr/OpenAI (new raises are done at higher valuations), so the valuation of the Hyperscaler's existing investments in Anthr/OpenAI increases, which gets recorded as Other Income in quarterly earnings

- Much of that invested cash will itself come back (circularly) to the hyperscalers as revenue since Anthropic and OpenAI spend a lot of money via datacenters etc.

On Other Income phenomenon, see for example, https://www.ft.com/content/be97df0a-76b1-4cb0-9ba4-d1117d8d1...

Also, there's apparently lots of off-balance sheet debt. For example https://www.ft.com/content/a0a07cce-6d19-4b1e-a73b-9855a06ba...

_diyar 10 hours ago||
Sorry what is the punch-line here supposed to be? These investments obviously increase correlation coeffs., but these are highly correlated stocks to begin with.
mxschumacher 9 hours ago|||
valuation gains on investments are one-offs, not signs of sustained improvements in profitability that would warrant higher market caps

when those valuation gains are in turn the result of circular financing schemes (a bakery giving out money so that people buy bread from it), we're getting to a dangerous situation

sarjann 9 hours ago|||
Circular financing is an issue if the wealth accumulation stays in the chip -> model provider ecosystem. However it seems like the labs are making quite a lot of revenue from the chips (customers).
applicative 6 hours ago|||
Demand for compute is far outstripping what was projected in the initial rounds in which we pearl clutched over 'circular financing' - which is hardly distinguishable even from the classical bill of exchange, the core phenomenon of the money market in Bagehot's day, in which I provide you inputs and you give me a share. I keep reading people saying what amounts to: the primitive bill of exchange was circular!!; if the seller of inputs has reason to lend, so does everyone else etc etc. In fact if the projections about final sales are correct, it is plain all these deals will be fine.
jsrozner 5 hours ago|||
The issue is simply that the posted article begins with a review of recent earnings/ revenues, but fails to discuss that a substantial part of those revenues are investment markups.

Whether it matters we don’t know yet, but it’s a fact worth noting. A better article might have tried to argue why it doesn’t matter

supermdguy 9 hours ago|||
Wait are the hyperscalers booking unrealized gains as income? Or are they selling their positions?
luke5441 9 hours ago|||
As far as I understand GAAP reporting standards actually require them to report gains on those positions as "earnings". But they do report non-GAAP earnings sometimes excluding them. E.g. Google earnings per share last quater is $9.11 GAAP vs $2.85 non-GAAP (mainly because of SpaceX shares).
jtcond13 7 hours ago||||
Useful piece on this from Owen Lamont:

https://www.acadian-asset.com/investment-insights/owenomics/...

charleslmunger 7 hours ago||||
https://finance.yahoo.com/news/warren-buffett-decries-accoun...
iknowSFR 9 hours ago|||
A recent Zitron claim is that they’re booking unrealized gains tied to these private labs. Google’s net revenues being a recent example.
wesammikhail 8 hours ago||
It's not a "Zitron claim". it's literally in the filings...
fy20 4 hours ago||
This is basically a bs line of reasoning, and it's easy to verify in 5 minutes (go read some SEC fillings).

Yes the investments do increase GAAP, but these are seperate line items from revenue which is what is listed in the article.

Alphabet is the biggest winner in this department, it's investments gain/losses for the same period as in the article was:

2023: -$1.45B

2024: +$2.24B

2025: +$24.90B

Yes thats a lot, but compared to it's seperate revenue growth of nearly $100B in the same period, it's not that much.

rr808 6 hours ago|
To me and most other non-West coast Americans its obvious he's right. Which is a good explanation of why SV has the resources and success it has because it can do things no one else believes in. While the rest of the world will always be catching up.
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