I wonder if they meant to draw a link between cybersecurity coding and debugging specifically or this really will apply to all coding and debugging. If it really is a more general restriction, then this is practically the same as it still being restricted.
While I appreciate, they publish this information, it's increasingly hard to keep track of it all. I've lost the mental model of how different models at different effort levels perform and what tasks they are good at.
In practice, I tend to just use the default on Claude Code that works well enough. But I wonder to what degree other users really play around with these settings to optimize for their project.
From today through June 22, Fable 5 is included on Pro, Max, Team, and seat-based Enterprise plans at no extra cost.
On June 23, we’ll remove Fable 5 from those plans. Using it after that will require usage credits. If capacity allows, we’ll extend the included window.
After this point—when sufficient capacity allows us to do so—we aim to restore Fable 5 as a standard part of subscription plans. We intend to do this as quickly as we can.
This seems like the pharmaceutical method of get them hooked on the drug with free samples, then once they can't live without it, raise the price. I'm not sure I want to start using Claude Fable on a max plan if it's just going to go away on June 23rd.
But maybe the more charitable reading is that they didn't have to offer this model at all on those plans and they are giving the standard free trial.
Where is the Ferrari in this at all? I completely agree that they missed the mark in design. While the interior is 100% Jony Ive, the exterior screams "design by committee."
An electric Roma successor would have been much better received and possibly cheaper for them to develop (who knows?).
The silver lining in all this is that it means that the EV arm will not cannibalize their ICE cars.
It's been a little while since I cared all that much about the models because they work well enough already. It's the tooling and the service around the model that affects my day-to-day more.
I would guess a lot of the enterprise customers would be willing to pay a larger subscription price (1.5x or 2x) if it means that they would have significantly higher stability and uptime. 5% more uptime would gain more trust than 5% more on a gamified model metrics.
Anthropic used to position itself as more of the enterprise option and still does, but their issues recently seems like they are watering down the experience to appease the $20 dollar customer rather than the $200 dollar one. As painful as it is personally, I'd expect that they'd get more benefit long term from raising prices and gaining trust than short term gaining customers seeking utility at a $20 dollar price point.
I am appreciative of your work on this piece. I'd love to see one that goes deeper into Dario Amodei. Perhaps even a series of profiles on the central figures of this AI era.
I somewhat understand Anthropic's position. However, thinking tokens are useful even if they don't show the internal logic of the LLM. I often realize I left out some instruction or clarification in my prompt while reading through the chain of reasoning. Overall, this makes the results more effective.
It's certainly getting frustrating having to remind it that I want all tests to pass even if it thinks it's not responsible for having broken some of them.
The stripe conference focused more than I would have liked on crypto.
I completely understand that there are markets and customers that can find real utility in it, but I wonder how many businesses will really ever benefit from stablecoins.
We're in higher education, and potentially our international clients could avoid hiccups with regulation, delays, compliance, and more using stablecoins, but it's really a guess. In the meantime, the pricing model of stripe seems to prioritize bigger and bigger clients.
That being said from Stripe's perspective stablecoins an easy bet to make. They win by building payment infrastructure within the traditional payment ecosystem and win by providing an alternative completely outside of it.
"In the near term" is doing some heavy lifting.