It still works, bots can solve it but it probably increases the cost of that web call by 10x or 100x for that bot, so it won't bother. Had a recent bad experience with removing recaptcha.
I get reCaptchaed-to-death all the time in iOS and MacOS using both Firefox and Brave. I use a big name VPN which probably makes it worse, since I'm routinely blocked outright by Cloudfare services, assuming cluelessly that I'm a bot.
My assumption is in the long term that efficiency will break interpretability, which will lead to questionable alignment. As efficiency drives capitalism and evolution we'll run headlong at it and try to deal with the risk as a side effect.
with Fable 5.1 increasing token use pretty dramatically I'm again impressed that OpenAI seems like the only lab to be driving token use down. The ExploitBench Internal Port chart showing token usage is crazy impressive
Honestly, I've been a Cursor subscriber for a while and it was just momentum. Still, I rank OpenAI as the worst actor among the big AI companies. I think OpenAI's playbook will be a repeat of Facebook. Users are the product x 1000.
Cursor/SpaceX/Grok is a different beast. I think they will cheat other companies but I'm not convinced yet that they have it out for users. We'll see. I'm certainly not some kind of Cursor lifer or something.
It's my personal view that Elon has already shown how little he cares for protecting data of individuals based on how he ran DOGE.
If his teams will handle the data of US citizens with such disregard, he'll almost certainly treat his customers (many of whom are those same US citizens) the same.
I'm not keen on OpenCode long term after seeing their CEO engage in antics and their discord being rather unprofessional, but it is a great harness for the time being, still has gaps though
cursor adds $0.25/M to your token bill for 3rd party services. sounds small but it's insanely big on cached inputs, which are an insanely high % of use
1. I think LLMs will end up pretty dramatically shrinking MTTR, a lot of that will be tooling to proactively resolve problems as soon as they start, but a lot of it is that agents are very good at finding and fixing problems by correlating data, something humans can do but I think we're going to be slower at
2. "The models are down" doesn't seem like a very realistic problem unless you have a single provider/set of endpoints. I do not recommend this setup but I guess if you have a single point of failure that is a risk.
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