The median income in the UK is currently sitting at £2,627 / week or £31,524 / year [1]. This is advertising more than double that at £64,189, not quite graduate wages!
I've been using superpowers [1] for this purpose, and have really appreciated how it guides the model to use careful, methodical approaches to answering my prompts. It's great for multi-step planning, design, and implementation, but also has guidance for debugging, accepting a code review, etc.
According to their website [1] only some scanners support the 2L limit while others don't so you will only know on arrival at the airport which limit is relevant for you.
This isn't true in the broad sense you've used. It's true that most people don't have the hardware to run the bleeding-edge foundation models, but with a modest Macbook you can run very capable local models now (at least capable for coding, where my experience is).
Here I was talking of the AI vendors - they specifically provide inferior models for local usage while offering the "insanely" good models only online.
AI can be run locally but with the growth of agent factories, this is going to be less and less possible if you want to keep up with the Jones.
How "fat" are the packed machines? In other words, how much bloat is inevitable, or is that entirely controlled by the base image + the user's smolvm machine spec? How does smolvm's pack compare to something like dockerc [0] in terms of speed and size? Disclaimer: I just learned about dockerc!
I can't actually create and test a pack right now because of [1], but I love the idea of using this to distribute applications you might otherwise use a Docker image for.
[1] https://www.ons.gov.uk/employmentandlabourmarket/peopleinwor...
EDIT: £2,627 / month, not week!
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