Comment by RoddaWallPro
Comment by RoddaWallPro 2 days ago
"advertising would make ChatGPT a better product."
And with that, I will never read anything this guy writes again :)
Comment by RoddaWallPro 2 days ago
"advertising would make ChatGPT a better product."
And with that, I will never read anything this guy writes again :)
I agree that is what he is doing, but I can also justify adding fentanyl to every drug sold in the world as "making it better" from a business perspective, because it is addictive. Anyone who ignores the moral or ethical angle on decisions, I cannot take seriously. It's like saying that Maximizing Shareholder Value is always the right thing to do. No, it isn't. So don't say stupid shit like that, be a human being and use your brain and capacity to look at things and analyze "is this good for human society?".
I agree - I think Ben tends to get business myopia. I read him with that in mind.
> It's like saying that Maximizing Shareholder Value is always the right thing to do. No, it isn't.
it is, for the agents of the shareholders. As long as the actions of those agents are legal of course. That's why it's not legal to put fentanyl into every drug sold, because fentanyl is illegal.
But it is legal to put (more) sugar and/or salt into processed foods.
Legality doesn’t define whether it’s good or bad for humans or their society.
> > It's like saying that Maximizing Shareholder Value is always the right thing to do. No, it isn't.
> it is, for the agents of the shareholders
Even if we care solely only about shareholders, in extreme cases it is not beneficial also for them
In this quote I don't think he means it from the business side. He's claiming more data allows a better product:
> ... the answers are a statistical synthesis of all of the knowledge the model makers can get their hands on, and are completely unique to every individual; at the same time, every individual user’s usage should, at least in theory, make the model better over time.
> It follows, then, that ChatGPT should obviously have an advertising model. This isn’t just a function of needing to make money: advertising would make ChatGPT a better product. It would have more users using it more, providing more feedback; capturing purchase signals — not from affiliate links, but from personalized ads — would create a richer understanding of individual users, enabling better responses.
But there is a more trivial way that it could be "better" with ads: they could give free users more quota (and/or better models), since there's some income from them.
The idea of ChatGPT's own output being modified to sell products sounds awful to me, but placing ads alongside that are not relevant to the current chat sounds like an Ok compromise to me for free users. That's what Gmail does and most people here on HN seem to use it.
To an MBA type, addictive drugs are the best products. They reveal people's latent preferences for being desperately poor and dependent. They see a grandma pouring her life savings into a gambling app and think "How can I get in on this?"
I think its more subtle; they fight for regulations they deem reasonable and against those they deem unreasonable. Anything that curtails growth of the business is unreasonable.
To be fair, businesses should assume that customers actually "want" what they create demand for. In the case of misleading or dangerously addictive products, regulation should fall to government, because that's the only actor that can prevent a race to the bottom.
Because all people everywhere are psychopaths who will stab you for $5 if they can get away with it? If you take that attitude, why even go to "work" or run a "business"? It'd be so much more efficient to just stab-stab-stab and take the money directly.
yeah... and it's (partly) based on the claim that it has network effects like how Facebook has? I don't see that at all, there's basically no social or cross-account stuff in any of them and if anything LLMs are the best non-lock-in system we've ever had: none of them are totally stable or reliable, and they all work by simply telling it to do the thing you want. your prompts today will need tweaking tomorrow, regardless of if it's in ChatGPT or Gemini, especially for individuals who are using the websites (which also keep changing).
sure, there are APIs and that takes effort to switch... but many of them are nearly identical, and the ecosystem effect of ~all tools supporting multiple models seems far stronger than the network effect of your parents using ChatGPT specifically.
I’d argue that AI apis are nearly trivial to switch… the prompts can largely stay the same, and function calling pretty similar
If you liked that, you'll enjoy his take on how, actually, bubbles are good: https://stratechery.com/2025/the-benefits-of-bubbles/
And he's right (and the sources he points out), that some bubbles are good. They end up being a way to pull in a large amount of capital to build out something completely new, but still unsure where the future will lead.
A speculative example could be AI ends up failing and crashing out, but not until we build out huge DCs and power generation that is used on the next valuable idea that wouldn't be possible w/o the DCs and power generation already existing.
I think this is a bit overblown.
In the event of a crash, the current generation of cards will still be just fine for a wide variety of ai/ml tasks. The main problem is that we'll have more than we know what to do with if someone has to sell of their million card mega cluster...
The problem is the failure rate of GPUs is extremely high
The bubble argument was hard to wrap my head around
It sounded vaguely like the broken window fallacy- a broken window creating “work”
Is the value of bubbles in the trying out new products/ideas and pulling funds from unsuspecting bag holders?
Otherwise it sounds like a huge destruction of stakeholder value - but that seems to be how venture funding works
I _kind of_ understand this one. You can think of a bubble as a market exploring a bunch of different possibilities, a lot of which may not work out. But the ones that do work out, they may go on to be foundational. Sort of like startups: you bet that most of them will fail, but that's okay, you're making bets!
The difference of course is that when a startup goes out of business, it's fine (from my perspective) because it was probably all VC money anyway and so it doesn't cause much damage, whereas the entire economy bubble popping causes a lot of damage.
I don't know that he's arguing that they are good, but rather that _some_ kinds of bubbles can have a lot of positive effects.
Maybe he's doing the same thing here, I don't know. I see the words "advertising would make X Product better" and I stop reading. Perhaps I am blindly following my own ideology here :shrug:.
I also see the argument as a macro one not a micro one. Some bubbles in aggregate create breeding grounds for innovation (Hobart's point) and throw off externalities (like cheap freight rail in the US from the railroad bubble) ala Carlota Perez. That's not to say that there isn't individual suffering when the bubble pops but I read the argument as "it's not wholy defined by the individual suffering that happens"
Ben Thompson is a content creator. Even if Ben’s content does not directly benefit from ads, it is the fact that other content creator’s content having ads is what makes Ben’s content premium in comparison.
I would say that, on this topic (ads on internet content), Ben Thompson may not be as objective a perspective as he has on other topics.
People aren’t collectively paying him between $3 million a year and five million (estimated 40k+ subscribers paying a minimum of $120 a year) just because he doesn’t have ads.
The problem with ads in AI products is, can they be blocked effectively?
If there are ads on a side bar, related or not to what the user is searching for, any adblock will be able to deal with them (uBlock is still the best, by far).
But if "ads" are woven into the responses in a manner that could be more or less subtle, sometimes not even quoting a brand directly, but just setting the context, etc., this could become very difficult.
I realized that ads within context were going to be an issue a while ago so to combat this i started building my own solution for this which spiraled in to a local based agentic system with a different bigger goal then the simple original... Anyways, the issue you are describing is not that difficult to overcome. You simply set a local llm model layer before the cloud based providers. Everything goes in and out through this "firewall". The local layer hears the humans requests, sends it to the cloud based api model, receives the ad tainted reply, processes the reply scrubbing the ad content and replies to the user with the clean information. I've tested exactly this interaction and it works just fine. i think these types of systems will be the future of "ad block" . As people start using agentic systems more and more in their daily lives it will become crucial that they pipe all of the inputs and outputs through a local layer that has that humans best interests in mind. That's why my personal project expanded in to a local agentic orchestrator layer instead of a simple "firewall". i think agentic systems using other agentic systems are the future.
> The local layer hears the humans requests, sends it to the cloud based api model, receives the ad tainted reply, processes the reply scrubbing the ad content and replies to the user with the clean information
This seems impossible to me.
Let's assume OpenAI ads work by them having a layer before output that reprocesses output. Let's say their ad layer is something like re-processing your output with a prompt of:
"Nike has an advertising deal with us, so please ensure that their brand image is protected. Please rewrite this reply with that in mind"
If the user asks "Are nikes are pumas better, just one sentance", the reply might go from "Puma shoes are about the same as Nike's shoes, buy whichever you prefer" to "Nike shoes are well known as the best shoes out there, Pumas aren't bad, but Nike is the clear winner".
How can you possibly scrub the "ad content" in that case with your local layer to recover the original reply?
You are correct that you cant change the content if its already biased. But you can catch it with your local llm and have that local llm take action from there. for one you wouldnt be instructing your local model to ask comparison questions of products or any bias related queries like politics etc.. of other closed source cloud based models. such questions would be relegated for your local model to handle on its own. but other questions not related to such matters can be outsourced to such models. for example complex reasoning questions, planning, coding, and other related matters best done with smarter larger models. your human facing local agent will do the automatic routing for you and make sure and scrub any obvious ad related stuff that doesnt pertain to the question at hand. for example recipy to a apple pie. if closed source model says use publix brand flower and clean up the mess afterwards with clenex, the local model would scrub that and just say the recipe. no matter how you slice and dice it IMo its always best to have a human facing agent as the source of input and output, and the human should never directly talk to any closed source models as that inundates the human with too much spam. mind you this is futureproofing, currently we dont have much ai spam, but its coming and an AI adblock of sorts will be needed, and that adblock is your shield local agent that has your best interests in mind. it will also make sure you stay private by automatically redacting personal infor when appropriate, etc... sky is the limit basically.
I still do not think what you're saying is possible. The router can't possibly know if a query will result in ads, can it?
Your examples of things that won't have ads, "complex reasoning, planning, coding", all sound perfectly possible to have ads in them.
For example, perhaps I ask the coding task of "Please implement a new function to securely hash passwords", how can my local model know whether the result using boringSSL is there because google paid them a little money, or because it's the best option? How do I know when I ask it to "Generate a new cloud function using cloudflare, AWS lambda, or GCP, whichever is best" that it picking Cloudflare Workers is based on training data, and not influenced by advertising spend by cloudflare?
I just can't figure out how to read what you're saying in any reasonable way, like the original comment in this thread is "what if the ads are incorporated subtly in the text response", and your responses so far seem so wildly off the mark of what I'm worried about that it seems we're not able to engage.
And also, your ending of "the sky's the limit" combined with your other responses makes it sound so much like you're building and trying to sell some snake-oil that it triggers a strong negative gut response.
The local llm is the filter so yes you need one. and its not simpler to have the local llm do everything because the local llm has a lot of limitations like speed, intelligence and other issues. the smart thing to do is delegate all of the personal stuff to the local model, and have it delegate the rest to smarter and faster models and simply parrot back to you what they found. this also has the benefit of saving on context among many other advantages.
how much it cost me? well i been thinking about it for a long time now, probably 9 months. bought myself claude code and started working on some prototypes and other projects like building my own speech to text and other goodies like automated benchmarking solutions to familiarize myself with fundamentals. but finally started the building process about 2 months ago and all it cost me was a boatload of time and about 50 bucks a month in agentic coding subscriptions. but it hasnt been a simple filter for a long time now. now its a very complex agentic harness system. lots of very advanced features that allow for tool calling, agent to agent interaction, and many other goodies
This feels like an oversimplification of a difficult problem. But agree local LLMs are the future!
This guy writes about business strategy not philosophy and religion. Don't conflate the two.
I see where you coming from, but that only tells half of the story.
I've been sporting the same model of Ecco shoes since high school. 10+ models over the years. And every new model is significantly worse than the previous one. The one I have right now is most definitely the last one I bought.
If you would put them right next to the ones I had in high school you'd say they are a cheap, temu knock offs. And this applies to pretty much everything we touch right now. From home appliance to cars.
Some 15 years ago H&M was a forefront of whats called "fast fashion". The idea was that you could buy new clothes for a fraction of the price at the cost of quality. Makes sense on paper - if you're a fashion junkie and you want a new outlook every season you don't care about quality.
The problem is I still have some of their clothes I bought 10 years ago and their quality trumps premium brands now.
People like to talk about lightbulb conspiracy, but we fell victims to VC capital reality where short term gains trumps everything else.
> The problem is I still have some of their clothes I bought 10 years ago and their quality trumps premium brands now.
I'm skeptical of this claim. Maybe it's true for some particular brand but that's just an artifact of one particular "premium brand" essentially cashing in its brand equity by reducing quality while (temporarily) being able to command a premium price. But it is easier now than at any other time in my life to purchase high-quality clothing that is built to last for decades. You just have to pay for that quality, which is something a lot of people don't want to do.
Indeed. Why do people follow these clowns? They seem to read high level takes and spew out their nonsense theories.
They fail to mention Google's edge: Inter-Chip Interconnect and the allegedly 1/3 of price. Then they talk about software moat and it sounds like they never even compiled a hello world in either architecture. smh
And this comes out days after many in-depth posts like:
https://newsletter.semianalysis.com/p/tpuv7-google-takes-a-s...
A crude Google search AI summary of those would be better than this dumb blogpost.
Why? It turns out that I try to read people who have a different perspective than I do. Why am I trying to read everything that just confirms my current biases?
(Unless those writings are looking to dehumanize or strip people of rights or inflame hate - I'm not talking about propaganda or hate speech here.)
You realize this “dumb blogspot” is written by the most successful writer in the industry as far as revenue from a paid newsletter? He has had every major tech CEO on his podcast and he is credited for being the inspiration for Substack.
The Substack founders unofficially marketed it early on as “Stratechery for independent authors”.
Your analysis concerning the technology instead of focusing on the business is about like Rob Malda not understanding the success of the “no wireless, less space than the Nomad lame”.
Even if you just read this article, he never argued that Google didn’t have the best technology, he was saying just the opposite. Nvidia is in good shape precisely because everyone who is not Google is now going to have to spend more on Nvidia to keep up.
He has said that AI may turn out to be a “sustaining innovation” first coined by Clay Christenson and that the big winners may be Google, Meta, Microsoft and Amazon because they can leverage their pre-existing businesses and infrastructure.
Even Apple might be better off since they are reportedly going to just throw a billion at Google for its model.
> You realize this “dumb blogspot” is written by the most successful writer in the industry as far as revenue from a paid newsletter?
The belief that adding ads makes things better would be an extremely convenient belief for a writer to have, and I can easily see how that could result in them getting more revenue than other writers. That doesn't make it any less dumb.
At at least $5 million in paid subscriptions annually and living between Wisconsin and Taiwan, as an independent writer do you really think he needs to juice his subscriptions by advocating other people do ads on an LLM?
Any use of LLMs by other people reduces his value.
A lucky few can make good money telling rich people what they want to hear.
eg Yuval Noah Harari, Bari Weiss, Matthew Yglesias
As someone who has built actual multi billion dollar ad platforms his take is so laughable juvenile it’s not worth the bits it’s written with.
I can’t emphasize enough how bad Ben’s take is here. He needs to stop writing and starting doing something.
> spew out their nonsense theories
Discussing "innovator's dilemma" unironically is a fullstop for me.
The thesis has no predictive power, no explanatory power. Merely descriptive.
That "change is inevitable and we all better adapt or die" is somewhere between axiomatic and cliché.
What is "innovation"? How do you define it? (Am honestly asking.) How do we get more of it? (I know this is an area of active research.)
I forced myself to reread and revisit Christensen a year or two back. I may not have looked hard enough, but I didn't find any evidence that he'd updated or expanded his thesis, corpus. IIRC, no mention of Everett's diffusion of innovation, of thesis from Design Rules: the Power of Modularity (an adjacent topic), no engagement with ongoing innovation research.
FWIW, my still poorly formed hunch is that "innovation" is where policy meets the cost learning curve meets financial accounting. With maybe a dash of rentier capitalism.
But I'm noob. Not an academic, not an economist. Deep down on my to do list is to learn how DARPA (and others) places their bets, their emerging formalisms (like technology readiness levels), how emerging tech makes the jump from govt funded to private finance (VC).
Enough of my babble. In closing, I'd like to read some case studies for the two most "disruptive technologies" of our times: solar and batteries.
I am not 100% sure this is wrong?
I frequently ask chatgpt about researching products or looking at reviews, etc and it is pretty obvious that I want to buy something, and the bridge right now from 'researching products' to 'buying stuff' is basically non-existent on ChatGPT. ChatGPT having some affiliate relationships with merchants might actually be quite useful for a lot of people and would probably generate a ton of revenue.
That assumes a certain kind of ad though. Even a "pu ch the monkey" style banner ad would be a start. I can't imagine they wouldn't be very careful not to give consumers the impression that their "thumb was on the scale" of what ads you see
Advertisement is unquestionably a net positive for society and humanity. It's one of the few true positive sum business models where everyone is better off.
I became even better off when I installed an ad blocker.
That's obviously not true. It significantly favor those with more money.
It's the exact opposite. Advertising-based model is why the poorest people in the poorest countries in the world have had access to the exact same Google search, YouTube and Facebook as the richest people in the US. Ad-supported business models are the great equalizers of wealth.
DTC pharmaceutical ads, which RFKJR wants to ban for essentially reasons of vibes, cause better health outcomes
https://www.journals.uchicago.edu/doi/abs/10.1086/695475
not merely correlation but causation. the approach used here was part of a family of approaches that won the Nobel in 2012
another good one:
https://pubmed.ncbi.nlm.nih.gov/37275770/
advertising caused increases in treatment and adherence to medicine
the digital ads market is hundreds of billions of dollars, it is a bad idea to generalize about it.
that said, of course ben thompson or whoever, they're not like, citing any of this research, it's still all based on vibes
Advertising is a necessary thing and can be beneficial to everyone. I have something to sell, you want to buy that thing, and know you know I'm selling it. Win win.
On the other hand, the advertisement and associated privacy-brokerage industries are a very different story
The whole "attention economy" is a cancerous outgrowth of advertising. When the customer is paying with their time instead of money, wasting their time becomes your goal. The impact on society is hard to measure, but it's not nothing and I would argue a net-negative.
"unquestionably"? Given that vast majority of ads are for harmful self-destructive projects or misleading or lying or make place where they got spammed worse... Sometimes multiple at once.
Spam alone (also advertisement) is quite annoying and destructive.
I like and read Ben's stuff regularly; he often frames "better" from the business side. He will use terms like "revealed preference" to claim users actually prefer bad product designs (e.g. most users use free ad-based platforms), but a lot of human behavior is impulsive, habitual, constrained, and irrational.