One thing I can tell you is you are either favored by Anthropic, or your version of the CLI does not exhaust limits, or there's some major bug, as two people around me (myself included) claim it took half an hour to hit the ceiling. Which makes it practically unusable, where the same workflow a day ago produced a good 5-6 hours of workload with several agents.
Probably means fan, shills have undisclosed ties and I doubt he means Simon has undisclosed ties to the entire AI industry, that would be very impressive if so.
It’s not meant for subscription users; the subscriptions are just the gateway drug to Enterprise pricing which Anthropic intends to use to juice their numbers before IPO.
Monetization is coming. They'll tell companies, AI is replacing your workers, so it is still worth to pay 100K/year for the license, as those AI are not going to jump to other job, get sick, be late, complain, require free coffee and so on.
Soon the times of AI for $20/$200 a month will be long gone.
Get people hooked, tell them spending time coding is no longer needed, let their skills deteriorate, tell them they need cough up for a licence to do their job
Forcing developers to pay for models that were build on code they scraped scott-free
A tax to do their job that developers are jumping at the chance to pay
Everybody's finally realising that node dependencies are a threat, but letting these AI companies gatekeep the industry is a bandwagon people are scrambling towards
> Forcing developers to pay for models that were build on code they scraped scott-free.
Yes this makes me sad behound explanation. Specially when I see open source developers happily using these tools. These companies stole your, free, hard work and charge you a subscription!! Not to speak about them torrenting books and (most likely) training on private repos.
This and devs paying a subscription to use a tool that is marketed as trying to replace them.
I had 150$ monthly budget thatbI used for various open source projects and I've cut that entirelly.
I don't get what you're saying. You're frustrated that Open Source projects were used to build these AIs and that OS devs (or devs in general) are paying to use AI.
Then you say you had money that you used to donate(?) to OS and have cut that because of the frustration?
Open source just means sharing the source code for people to learn off or have the ability to customize on their own. I don't think there is any need to be frustrated about that (now if it was copyright/private of course).
> To summarize the analysis that now follows, the use of the
books at issue to train Claude and its precursors was
exceedingly transformative and was a fair use under Section 107
of the Copyright Act. And, the digitization of the books
purchased in print form by Anthropic was also a fair use but not
for the same reason as applies to the training copies. Instead, it
was a fair use because all Anthropic did was replace the print
copies it had purchased for its central library with more
convenient space-saving and searchable digital copies for its
central library — without adding new copies, creating new
works, or redistributing existing copies.
> Forcing developers to pay for models that were build on code they scraped scott-free
That's also caused by some very smart (even brilliant) developers (you can see many of them in this very thread) choosing to be oblivious about all this and bury us all under, hoping that they'll be among the last ones to go. Writing this down I realise that they maybe aren't all that smart.
I've been saying this since the beginning, the rug pull is coming. If these models can eventually replace a human worker, there is no reason these companies won't charge (and get away with it) very close to a typical SWE salary.
It would not surprise me one bit to see anywhere from $80k-$100k/seat pricing.
A Ferrari will likely lap you when you’re racing, though, and the market and the economy is a race. You’ll be facing a question soon, or your employer will, whether to spend a significant chunk of free cash on fable-class tokens or on literally anything else instead - wages and salaries included.
<< You’ll be facing a question soon, or your employer will
Maybe? If you talk to executives, the impression that I am getting is that they tend to be somewhat misinformed at best, which, yes, is bound to result in some really bad decisions down the road. But, and it is not a small but, the ones I did talk to ( and, amusingly, those are the ones with strong opinions ) don't seem to have a lot, um, practical exposure to this tech beyond what they heard at the watercooler. Honestly, it is kinda infuriating. And all this before we get to how companies want to say they use AI, but also keep cost down.
I am, and I used up the entire 5 hour window in 8min using the highest thinking setting. It also ate up $15 of extra usage before I noticed.
I’ve done the same thing with opus multiple times with no issue. According to ccusage I racked up just shy of $100 of tokens using Fable.
It spun up subagents or workflows or whatever so obviously that contributed but “double opus” was not my experience. I’ve done the exact same prompt with opus on the highest setting and only once before (not even while using this prompt) hit my limits.
My prompt? I’m not a prompt wizard or anything but it was literally:
> Please review the uncommitted code in this repo for bugs/issues/code smells.
I use variations on that all the time with opus and never had issues. I figured it was a good one to kick the tires with Fable. Little did I know it would mean no more Claude Code for the next 4.5hrs (unless I wanted to pay) after this being the first time I had used CC that day (yesterday).
I tried to filter down to just fable (or 5.5 so I could deduct it) but the `--agent` flag doesn't seem to work how I'd expect...
I think the $10.96 is coming from gpt-5.5 since I switched to it once I exhausted all my usage on CC. CCusage reports completely different numbers so I don't know which one of those is right.
Thanks for trying, for yesterday ccusage says "$92.02" for claude, which I assumed was the Fable usage.
That's very interesting, I had not used agentsview at all before today and I'll have to keep that in my back pocket.
Unfortunately it's not telling the whole story. The last message from the _only_ Fable session it monitored was:
> The data layer looks clean — <REDACTED>. Now waiting on the 11-angle workflow — verification and the gap sweep run after the finders; I'll compile the full ranked findings list when it completes.
And my memory jives with that, I could see in the footer that it had spun up 11 agents (though agentsview says it used 0 subagents, don't know if it was "actually" workflows that it spun up?). It's like it didn't record the sub-sessions/sub-agents info?
I'm still shocked that my prompt (which I now can see thanks to this tool) of:
> Please review all the uncommitted work in this repo and identify any issues.
was able to burn so much, so quickly, and, most frustratingly, without actually doing anything useful because killing it was my only option lest it spend even more of "extra usage".
It's as if it spun up a bunch of subagents but agentsview doesn't report on it. I see a tiny bit of Haiku use once I turn on all models (except gpt-5.5).
simonw, if you are not bumping up against the same false-positive guardrail problems and budget consumption that everyone else is, then that is something worth digging into. I would normally say that's crazy but IPOs put weird pressure on companies.
