This seems pretty reasonable to me. I don't really understand why Windsurf, owned by OpenAI (allegedly), should expect to have API access to their main competitor's API. People can still bring their own key and use whatever models they want in that way.
IDK, I pay someone money for a service, I would like the terms of our contract to protect me from getting cut off capriciously. The fact that Anthropic is selling a service without providing a contract that provides consumers with protections kinda sucks?
Anthropic co-founder on cutting access to Windsurf
81–90 of 117 posts
Re: Anthropic co-founder on cutting access to Windsurf
#82Earlier quoted context omitted.
Yes, many people believe that, but it doesn't seem to be an evidence-based belief. I've written about this in some detail[0][1] before. But since just linking to one's own writing is a bit gauche and doesn't make for a good discussion, I'll summarize :) 1. There is no point in providing paid APIs at negative margins, since there's no platform power in having a larger paid API share (paid access can't be used for trai…
I think you miss 2 big aspects: 1. High volume providers get efficiencies that low volume do not. It comes from both more workload giving more optimization opportunities, and staffing to do better engineering to begin with. The result is break even for lower volume firms is profitable for higher volume, and as high volume is magnitudes more scale, this quickly pays for many people. By being the high-volume API, this…
But paid-per-token APIs at negative margins do not provide scaling efficiencies! It's just the provider giving away a scarce resource (compute) for nothing tangible in exchange. Whatever you're able to do with that extra scale, you would have been able to do even better if you hadn't served this traffic.
In contrast, the other things you can use the compute for have a real upside for some part of the genai improvement flywheel:
1. Compute spent on free users gives you training data, allowing the models to be improved faster.
2. Compute spent on training allows the models to be trained, distilled and fine-tuned faster. (Could be e.g. via longer training runs or by being able to run more experiments.)
3. Compute spent on paid inference with positive margins gives you more financial resources to invest.
Why would you intentionally spend your scarce compute on unprofitable inference loads rather than the other three options?
> 2. Growth for growths sake.
That's fair! It could in theory be a "sell $2 for $1" scenario from the frontier labs that are just trying to pump up their revenue numbers to fund-raise from dumb money who don't think to at least check on the unit economics. OpenAI's latest round certainly seemed to be coming from the dumbest money in the world, which would support that.
I have two rebuttals:
First, it doesn't explain Google, who a) aren't trying to raise money, b) aren't breaking out genai revenue in their financials, so pumping up those revenue numbers would not help at all. (We don't even know how much of that revenue is reported under Cloud vs. Services, though I'd note that the margins have been improving for both of those segments.)
Second, I feel that this hypothetical, even if plausible, is trumped by Deepseek publishing their inference cost structure. The margins they claim for the paid traffic are high by any standard, and they're usually one of the cheaper options at their quality level.
Re: Anthropic co-founder on cutting access to Windsurf
#83Earlier quoted context omitted.
IDK, I pay someone money for a service, I would like the terms of our contract to protect me from getting cut off capriciously. The fact that Anthropic is selling a service without providing a contract that provides consumers with protections kinda sucks?
Also, like, anti competitive behavior is kinda ... Illegal?
And for that to happen you need to be (a) an effective monopoly, (b) have a negative direct or indirect impact on consumers, (c) large enough for regulators to care about and (d) be in a regulatory environment that priorities this enforcement.
Re: Anthropic co-founder on cutting access to Windsurf
#84Earlier quoted context omitted.
IDK, I pay someone money for a service, I would like the terms of our contract to protect me from getting cut off capriciously. The fact that Anthropic is selling a service without providing a contract that provides consumers with protections kinda sucks?
Also, like, anti competitive behavior is kinda ... Illegal?
Anticompetitive practices are actions that reduce competitiveness in a market by entrenching your dominance over the (usually smaller) competition.
Not allowing your competitor to buy your product arguably increases competition? It pushes them to improve their own product to be as good as yours.
Re: Anthropic co-founder on cutting access to Windsurf
#85Earlier quoted context omitted.
I think you miss 2 big aspects: 1. High volume providers get efficiencies that low volume do not. It comes from both more workload giving more optimization opportunities, and staffing to do better engineering to begin with. The result is break even for lower volume firms is profitable for higher volume, and as high volume is magnitudes more scale, this quickly pays for many people. By being the high-volume API, this…
> High volume providers get efficiencies that low volume do not But paid-per-token APIs at negative margins do not provide scaling efficiencies! It's just the provider giving away a scarce resource (compute) for nothing tangible in exchange. Whatever you're able to do with that extra scale, you would have been able to do even better if you hadn't served this traffic. In contrast, the other things you can use the comp…
1. You just negated a technical statement with... I don't even know what. Engineering opportunities at volume and high skill allow changing the margin in ways low volume and low capitalization provider cannot. Talk to any GPU ML or DC eng and they will rattle off ways here. You can claim these opportunities aren't enough, but you don't seem to be willing to do so.
2. Again, even if tokens are unprofitable at scale (which I doubt), market position means owning a big chunk of the distribution channel for more profitable things. Classic loss leader. Being both the biggest UI + API is super valuable. Eg, now that code as a vertical makes sense, they bought more UI here, and now they can go from token pricing closer to value pricing and fancier schemes - imagine taking on GitHub/Azure/Vercel/... . As each UI and API point takes off, they can devour the smaller players who were building on top to take over the verticals.
Seperately, I do agree, yes, the API case risks becoming (and staying) a dumb pipe if they fail to act on it. But as much as telcos hate their situation, it's nice to be one.
Re: Anthropic co-founder on cutting access to Windsurf
#86Earlier quoted context omitted.
This seems odd to me, I don't expect bakery to reject selling me a bread this morning, because I started working in another bakery nearby.
This is more like about cutting you off reselling their bread, which would be reasonable.
Grocery and department stores routinely have brands that compete with those they resell — but they’re not cut off for that. Eg, Kroger operates its own bakery and resells bread.
What makes technology unlike those?
Re: Anthropic co-founder on cutting access to Windsurf
#87Earlier quoted context omitted.
> High volume providers get efficiencies that low volume do not But paid-per-token APIs at negative margins do not provide scaling efficiencies! It's just the provider giving away a scarce resource (compute) for nothing tangible in exchange. Whatever you're able to do with that extra scale, you would have been able to do even better if you hadn't served this traffic. In contrast, the other things you can use the comp…
I think you ignored both of my points - 1. You just negated a technical statement with... I don't even know what. Engineering opportunities at volume and high skill allow changing the margin in ways low volume and low capitalization provider cannot. Talk to any GPU ML or DC eng and they will rattle off ways here. You can claim these opportunities aren't enough, but you don't seem to be willing to do so. 2. Again, eve…
Maybe if you could name one of those potential opportunities, it'd help ground the discussion in the way that you seem to want?
Like, let's say that additional volume means one can do more efficient batching within a given latency envelope. That's an obvious scale-based efficiency. But a fuller batch isn't actually valuable in itself: it's only valuable because it allows you to serve more queries.
But why? In the world you're positing where these queries are sold at negative margins and don't provide any other tangible benefit (i.e. cannot be used for training), the provider would be even better off not serving those queries. Or, more likely, they'd raise prices such that this traffic has positive margins, and they receive just enough for optimal batching.
> You can claim these opportunities aren't enough, but you don't seem to be willing to do so.
Why I would claim that? I'm not saying that scaling is useless. I think it's incredibly valuable. But scale from these specific workloads is only valuable because these workloads are already profitable. If it wasn't, the scarce compute would be better off being spent on one of the other compute sinks I listed.
(As an example, getting more volume to more efficiently utilize the demand troughs is pretty obviously why basically all the major providers have some sort of batch/off-peak pricing plans at very substantial discounts. But it's not something you'd see if their normal pricing had negative margins.)
> Engineering opportunities at volume and high skill allow changing the margin in ways low volume and low capitalization provider cannot.
My point is that not all volume is the same. Additional volume from users whose data cannot be used to improve the system and who are unprofitable doesn't actually provide any economies of scale.
> 2. Again, even if tokens are unprofitable at scale (which I doubt),
If you doubt they're unprofitable at scale, it seems you're saying that they're profitable at scale? In that case I'd think we're actually in violent agreement. Scaling in that situation will provide a lot of leverage.
Re: Anthropic co-founder on cutting access to Windsurf
#88Earlier quoted context omitted.
> OpenAI could train against Claude weights OpenAI can always buy a Claude API subscription with a credit card if they want to train something. This change only prevents the Windsurf product from offering Claude APIs to their customers.
Other than, you know, terms and contracts.
Re: Anthropic co-founder on cutting access to Windsurf
#89Earlier quoted context omitted.
True. Otherwise Anthropic would cut access to other code assistants too as they all compete with Claude Code.
They might still. Why not? Illustrates a risk of building a product with these AI coding tools. If your developers don't know how to build applications without using AI, then you're at the mercy of the AI companies. You might come to work one day and find that accidentally or deliberately or as the result of a merger or acquisition that the tools you use are suddenly gone.
The same can be said if your developers don't know how to build applications:
- without using syntax highlighting ...
- without using autocomplete ...
- without using refactoring tools ...
- without using a debugger ...
Why do we not care about those? Because these are commodity features. LLMs are also a commodity now. Any company with a few GPUs and bandwidth can deploy the free DeepSeek or QwQ models and start competing with Anthropic/OpenAI. It may or may not be as good as Claude 4, but it won't be a catastrophe either.
Re: Anthropic co-founder on cutting access to Windsurf
#90Earlier quoted context omitted.
I think you ignored both of my points - 1. You just negated a technical statement with... I don't even know what. Engineering opportunities at volume and high skill allow changing the margin in ways low volume and low capitalization provider cannot. Talk to any GPU ML or DC eng and they will rattle off ways here. You can claim these opportunities aren't enough, but you don't seem to be willing to do so. 2. Again, eve…
I don't think I was ignoring your points. I thought I was replying very specifically to them, to be honest, and providing very specific arguments. Arguments that you, by the way, did not respond to in any way here, beyond calling them "[you] don't even know what". That seems quite rude, but I'll give you the benefit of the doubt. Maybe if you could name one of those potential opportunities, it'd help ground the discu…
I'm disputing this two-fold:
- Software tricks like batching and hardware like ASICs mean what is negative/neutral for a small or unoptimized provider is eventually positive for a large, optimized provider. You keep claiming they cannot do this with positive margin some reason, or only if already profitable, but those are unsubstantiated claims. Conversely, I'm giving classic engineering principles why they can keep driving down their COGS to flip to profitability as long as they have capital and scale. This isn't selling $1 for $0.90 because there is a long way to go before their COGS are primarily constrained by the price of electricity and sand. Instead of refuting this... You just keep positing that it's inherently negative margin.
In a world where inference consumption just keeps going up, they can keep pushing the technology advantage and creating even a slight positive margin goes far. This is the classic engineering variant of buttoning margins before an IPO: if they haven't yet, it's probably because they are intentionally prioritizing market share growth for engineering focus vs cost cutting.
- You are hyper fixated on tokens, and not that owning a large % of distribution lets them sell other things . Eg, instead of responding to my point 2 here, you are again talking about token margin. Apple doesn't have to make money on transistors when they have a 30% tax on most app spend in the US.