No kidding. As a small employer I expect to be spending $200 a month so each employee can have an OAI or Claude 20x sub, or else spend it on the Chinese prepaid tokens of their choice.
You can buy cedar-scented air fresheners on Amazon. Isn't buying a wooden dresser and an air freshener enough to rekindle the love of your calling? Look, the sides of the dresser are CNC-milled to a level of perfection you could never achieve at home.
Well, if you have a clearly defined task it's easy. When using them for my pipeline of writing explanations for Chinese words I have clear ranking, for example - opus 5.5 clearly better than opus 5 at writing and knowing details, annoying nit picker when it comes to finding errors (high accuracy, low usefulness) all in repeatable numbers on different datasets. The problem is that these models are most useful when you are facing a new task that you haven't encountered before. And yup then it's astrology.
I find that Fable still makes the best orchestrator model. Astra is great for code reviews, it is very eager to find flaws. Cheaper models can handle the actual coding - you want to do a review either way at the end.
Even if you could get a frontier model, you would not be able to run it on any Mac. So speculating on what M7 or M9 will achieve in 5 years (if we even still exist) seems pointless.
True, but do you need a 10,000 dollar machine to do so?
I would love to find an excuse to buy a 10,000 dollar machine! But I cant find one yet. My current cloud bill is in excess of 400 USD per month. Just can't achieve frontier model capabilities locally.
Then I realized I was spending 3600.00 USD for Anthropic and OpenAI per year.
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