$300 is my employer's monthly cap on Claude Enterprise. It lasts me at most a week of moderate use. I would much rather get Codex Pro and Claude Pro or Max, which would cost ≤ $200. For $300, one could also add Gemini Ultra to the mix so I could have all three review each other's code, etc.
Claude can be very good but enterprise pricing doesn't make sense to me.
The $200 plan you're talking about is subsidized by Anthropic. They cannot afford to keep offering that to everyone indefinitely. Absolute best case scenario for current users is that they can continue to subsidize it as way to sell enterprise plans, but there's no way that they can keep offering it to everyone at those prices.
Right, they can do it to sell enterprise plans, but they can't offer said plans to those enterprise customers indefinitely. So if your employer wants to spend $200/month on tokens, you're going to get however many tokens $200 buys you each month, not the order of magnitude more you can get with a consumer subscription.
A lot of startups pile up enormous amount of accounts, companies don't need the Enterprise Anthropic solution, they can just subscribe to many accounts and have their own staff KYC for each (1 codex, 1 claude, 1 google and so-on).
I imagine it’s also really trivial to build some kind of local “enterprise” proxy that gives you the same visibility in usage as the anthropic dashboard would give you. I use one for aggregating all my subs.
We definitely pay enterprise api costs. Only way to get google vertex integration, and Enterprise is too sensitive to let all of their data leave their moat.
> They cannot afford to keep offering that to everyone indefinitely.
Common talking point. There's enough evidence for the counter argument that this is essentially misinformation. I have no idea why it's so often repeated with confidence.
Brand new industry, massive capital, dropping inference costs, increasing availability of compute, cost centers / subsidized subscriptions are common in SaaS, heavy competition, no public information on actual utilization rates.
How much is Waymo burning a year? 3B on 300M ARR? Anthropic is what 5B on 20B ARR? Waymo is 3x older. Why don't we hear such confident statements about how subsidized their rides are?
It's one thing to speculate it's another to parade it as fact. Even if the S1 reveals an unprofitable business today, you can still only claim it's unlikely.
> How much is Waymo burning a year? 3B on 300M ARR? Anthropic is what 5B on 20B ARR? Waymo is 3x older. Why don't we hear such confident statements about how subsidized their rides are?
We do. We hear it less often because no-one is talking about how Waymo changes how we all need to work or whatever, that's all.
Do people commonly argue Waymo isn't subsidizing rates?
Also, we do have some evidence for my position:
- We know that the consumer Claude plans provide _way_ more tokens than you could get if you were paying API prices. This is a huge part of why Anthropic's limits on other harnesses for subscription customers is such a big deal. So either their profit margin on API tokens is absurdly high, most consumer subscribers don't come anywhere near their rate limits, or they're losing money on the consumer subscriptions.
- It appears that complains about people running into rate limits are common, which suggests the "consumers usually don't use much of their subscription" explanation is incorrect.
- We also know that Anthropic has just become profitable, almost certainly driven mostly by enterprise customers. This rules out the "they make a very high profit margin on the API" explanation, since if that was the case they'd likely have been profitable much earlier.
Taken together, I think the case that their consumer subscriptions lose them money on net is pretty strong, even though their enterprise subscriptions (and API pricing) does make them a profit.
> I think the case that their consumer subscriptions lose them money on net is pretty strong, even though their enterprise subscriptions (and API pricing) does make them a profit.
To be clear I'm not arguing against this position, just questioning the confidence with which people claim that the current consumer subs are not a sustainable offering and a merely temporary.
Whether sustainability is achieved by raising prices or hoping that costs can be brought down, you have to acknowledge that the status quo is unsustainable. If it were sustainable nether change would be necessary.
That’s a shocking number. I don’t know how much my employer is billed, but based on the numbers reported by Claude code in its optional status bar, I’m often exceeding $300 in a day across sessions, when working on meatier tickets.
Very useful website. Would you have insight into what models are best at editing existing images?
I often have to make very specific edits while keeping the rest of the image intact and haven't yet found a good model. These are typically abstract images for experiments.
I asked gpt-image-2 to recolor specific scales of your Seedream 4 snake and change the shape of others. It did very poorly.
OpenAI actually has really good adherence, but occasionally tends to introduce its own almost equivalent of "tone mapping", making hyper-localized edits frustrating.
I don’t know how much work it is for you, but one thing a lot of people do, myself included, is take the original image, make a change to it using something like NB, then paste that as the topmost layer in something like Krita/Pixelmator. After that, we’ll mask and feather in only the parts we actually want to change. It doesn’t always work if it changes the overall color balance or filters out certain hues, it can be a real pain but it does the job in some cases.
The Flux models (like Kontext) are actually surprisingly good at making very minimal changes to the rest of the image, but unfortunately their understanding of complex prompts is much weaker than the closed, proprietary models.
I will say that I’ve found Gemini 3.0 (NB Pro) does a relatively decent job of avoiding unnecessary changes - sometimes exceeding the more recent NB2, and it scored quite well on comparative image-editing benchmarks.
The prompts contain e.g. a terminal UI, which gives you root access to the machine. If someone can access that UI and its backend, the can do whatever they want! So make sure to put it behind a firewall or basic auth or something else.
There has been promising work on olfactory training, which you can do very inexpensively at home. If you can, I would consider seeing any ENT first to rule out polyps, etc.
Maybe at the bottom your marbles could land on surfaces with different accustic properties. Track selection would determine the surface and release time would determine the timing.
I live in a big city. DoorDash always delivers to an address 10 minutes away walking from my building. It is quite inconvenient in the winter. With human drivers, you can at least try to convince them to use Google Maps, but with an AI?
On second thought, prompt injection via delivery instructions?
Building Blocks was a pack-in when I bought Syntorial in last years sale. It's technically different (web-based instead of a standalone app like Syntorial), and tries to do with music theory as a whole what Syntorial does with synthesis. Since it goes through the same 'theory, practice and create' cycle every time (eg. once for every chord type) I found it getting a bit tedious after a while.
What I don't quite get is why manufacturers of midi controllers (Arturia, Novation, NI, etc.), with the exception of, possibly only Korg, don't release any of their digital instruments as mobile apps. After sitting the whole day in front of my computer, the last thing I want to do is to swap VS Code for Ableton or Kontakt and spend a few more hours in the glow of my monitors.
(I do get that if you are very serious about making music you need a proper computer set up. I am just a mere amateur hobbyist.)
This is why I bought a teenage engineering op-1. Yes it’s overpriced, yes there are definitely better little desktop synths but I can whip this one out and just go wild without having to look at a (real) screen.
Same reason I keep my Roland Fantom around - has everything built in to the device.
NI are probably more focused on DJ stuff at the mobile app level.
Arturia have tried a few different hardware-hosts over the years, but seem to be focusing on their Astrolab platform rather than supporting iOS (Android is a non-runner due to latency).
Novation's main offerings are about analog signal paths. Back in the early 00s they had a few weird integrations like the X-Station, but its the analog nature of the bass-station and subsequent *Brute line that maintained their USP and cachet. Things like the Circuit/Launchpad are obvious AIO attempts at taking the share from similar form-factor iPad sequencing and clip launching utilities.
The m8 and the recently, heavily promoted Woovebox 2 are the Emacs/Vim of grooveboxes. They hide a vast amount of functionality behind what initially seems like an impenetrable jungle of button presses and shortcuts; a system that ultimately proves* to be highly ergonomic.
*Based on what I read. Sadly, I don't own these devices.
I own an M8 (and also, happen to be a vim user lol) and it's sorta true, but it feels a lot more natural if you're familiar with the LSDJ-style workflow. LSDJ is a DAW built for the GameBoy so was working with very constrained hardware. Both are derived from sequencer workflows, but I'm not quite sure which or where those originated.
That being said, the M8 workflow isn't all that bad, but it's definitely less visual than most other DAWs.
Claude can be very good but enterprise pricing doesn't make sense to me.