probably the easiest way would be to buy an amazon gift card in cash and deliver it to a locker/shop for pickup, although you'd likely still need to link it to a phone number
scale is important here - maybe a better analogy is setting up a paid Spotify clone with all the music sourced from torrents with some slight distortion effect added
I used a copy of (desktop) Vector Magic several years ago - it's almost certainly not worth the purchase price today (and better software may already exist), but it did very reliably get me a reasonably close SVG from an original image
My understanding was that GPT4 evaluation appeared to specifically favour text that GPT4 would generate itself (leading to some bias towards gpt-based fine-tunes), although I can't remember the details
About a year ago I made a little wear os app to track the upcoming departures at the station near me - it was suprisingly useful (especially at big stations - sometimes you can make incredibly quick connections!), so I decided to genericise it to the point it'd work for other people (in the uk) as well! So far people seem to really appreciate it [0], which I'm glad about
Alternatively, for something slightly less polished, I made an app that connects to the spotify API, fetches synced lyrics for the track currently playing, and displays them on an electromechanical (flip-dot) bus sign from the 80s that's sat in my kitchen!
To my understanding, there are ways of wiring a USB-C cable such that only four contacts are active, and behave as a USB 2 cable? (although you can only do USB 2 charging over it, so no PD)
I'm not quite sure what you mean here - English Wikipedia is ~60GB, and there are definitely models trained on Wikipedia that are less than 60GB (eg: Llama 7B), but that's a lossy store of information - you won't get perfect recital of a Wikipedia page from an LLM
If you also explicitly mentioned the salt used (as bear appear to have done?), this just becomes a matter of testing 4 billion options and seeing which matches
> The IANA is not in the business of deciding what is and what is not a country. The selection of the ISO 3166 list as a basis for country code top-level domain names was made with the knowledge that ISO has a procedure for determining which entities should be and should not be on that list.
Jon Postel, RFC 1591 (Domain Name System Structure and Delegation)
Likely by means of reverse-engineered APIs from smart TVs (or similar) with limited capability to provide integrity, although I'm sure there are steps Google can take to make that harder
As far as I can tell it's still free for relatively low request rates, but you need to register an account/get an app id from them (I've been doing some testing with it recently as part of an app)
to summarise this - in practice, a person earning £50,270 under 1257L is paying 24% of their income as tax. Ever £1 they earn above this value is taxed at 40% up to £125k (although there are also some losses of benefits at £100k)
Can you provide an example of this for an employee of a company? I can't figure out a way of making that the case - even inside the "60%" (in relative terms) band - at £125k your actual tax burden is 36% (44% incl. employer contributions)
The reason people like Kagi is that it doesn't show these (anywhere near as much), the top result has the answer