Notification of incoming texts was the only problem. I jailbroke the thing and started trying to schedule network requests, thinking I'd add some kind of new message counter on the home screen. This proved hard. But it occurred to me that the best place for the counter would be right next to the Kindle's device name, at the top of the screen. And the device name could be updated from her Amazon account.
So I automated a web browser on the home server to log into Amazon and update the device name to "My Kindle (x)" where x was the number of unread Google Voice texts. The Kindle would update the name on the home screen in less than a minute. This worked for years!
(Eventually that Kindle was stolen. I wanted to update its name to something foul but the device disappeared from her account too quickly.)
Disassembling my first junk phone and playing with the rotary relay was even more fun.
But the best was learning to dial numbers by manually pulsing the switch on the handset cradle. Timing was tricky but luckily there was some leeway. (And it helped that phone numbers were shorter then.)
The opposite process also happens, though... not just a 3- and 4-story residential buildings demolished for large residential towers (plenty of that in NYC) but single-family brownstones carved up into smaller dwelling units.
The map caption "Conversions Have Erased Some Gains in NYC's Housing Stock" would make a less deceptive headline. The map shows data from a defined timespan ("between 2010 and 2021") and shows that there's not a single community district that hasn't added housing units. The headline, meanwhile, refers to a vague "70-plus years" timeframe. That's long enough that you could probably find hundreds of buildings that have bounced between single- and multi-family several times.
And in fact the underlying research characterizes any building that was ever recorded as multifamily and currently isn't as a "loss." I fear it risks romanticizing the 20th century's cramped tenements.
(And again, just to be clear, I find conversion of viable multifamily buildings into mansions generally repugnant.)
Are there any other famous scientist/musicians called Brian?
I don't think there's any reason why this would be a relevant legal distinction in terms of distributing an LLM -- blog authors weren't giving consent either.
However, I do wonder if there's a legal issue here in using pirated torrents for training. Is there any legal basis for saying fair use permits distributing an LLM trained on copyrighted material, but you have to purchase all the content first to do so legally if it's only available for sale? E.g. training on a blog post is fine because it's freely accessible, but Sarah Silverman's book is not because it's never been made available for free, and you didn't pay for it?
Or do the courts not really care at all how something is made? If you quote a passage from a book in a freelance article you write, nobody ever asks if you purchased the book or can prove you borrowed it from a library or a friend -- versus if you pirated a digital copy.
Talent agencies will negotiate training rights fees in bulk for popular content creators, who will get a small trickle of income from LLM providers, paid by a fee line-itemed into the API cost. Indie creators' training rights will be violated willy-nilly, as they are now. Large for-profit LLMs suspected or proven as training rights violators will be shamed and/or sued. Indie LLMs will go under the radar.
"0.24 degrees per hour" (assuming 12 work hours per day) just doesn't really ring to me... and I have a mechanical engineering degree.