surely you can see how this is a rare specific situation you encountered and not some actual systemic mcdonald’s problem (there are LOTS of reasons to complain about mcdonald’s but this seems like a strange one)
It’s not that you’re seeing old prices per se, but rather that it’s easier to make two IAP items (one with regular price, one with sale price) than it is to actually change the price of a single IAP. That’s why you see multiple items.
When I look at the in app purchase prices on the App Store page, it tells me what they’re for? (1 month vs 1 year). You can usually assume that if you see a different price for the same name item, that it’s a sale price.
Everything I’ve heard about the company tells me they are obsessed about exponential growth. It might seem bad to make a change that loses you 10% of your users, but if those are your least profitable users and the rest of your userbase is growing 200% per month, why does it matter?
Not sure why that’s bleak? It’s on top of the regular vacation days you get every year. I don’t know of any other company (at least not here in Canada!) that would give you an entire paid month off.
That deal is a win-win for Google. If they develop a better coding model than Anthropic and beat them at coding, then they win. If they don’t, they still win by making a ton of money from Anthropic long term.
The problem isn’t that the tasks are impossible to solve, it’s that they’re underspecified and/or impossible to solve consistently (ex. because a test is expecting the solution function to have a specific name that wasn’t specified in the task itself).
So maybe Anthropic runs Mythos through the benchmark 10000 times and takes the highest score, who knows?
The open models of similar scales (ex. the new 1T deepseek model) are a fraction of the cost per token, so I don’t see how that can be the case. Inference is profitable, it’s the training that makes it unprofitable.
Yeah but in a discussion about technology it’s a little silly. It’s like someone complaining about their phone and then finding out they still use a Nokia.
Overwatch also has “kill cams”, which basically create an entire alternate game state to show you how the enemy killed you, and they have the “Play of the Game” system that replays the coolest moment of the game at the end. It’s impressive tech.
You could use any of the plans depending on your situation.., they will all work in VSCode, so the question is how much usage you need and whether you want to pay for a subscription or directly for usage.
If you’re actually asking this question earnestly, I recommend starting out with the Pro plan ($20).
That is one factor, but it’s not the whole thing. The other key element is “cognitive offloading” where your brain stops doing stuff when it thinks it is redundant.
This is similar to the photo-taking impairment effect where people will remember an event more poorly if they took photos at the event. Their brain basically subconsciously decides it doesn’t need to remember the event because the camera will remember the event instead.
I think you have it set to the wrong mode. If you set it to Thinking with “Extended” thinking effort, is it slower but almost never wrong (because it searches the web to get verify all its assumptions and answers).
100% this. All the abstractions and OOP stuff make you end up with a codebase where half the code doesn’t actually DO anything in the product itself, it just connects to other code! It also becomes impossible to follow the flow of execution because it passes through dozens of files and layers of abstraction.