There's certainly slow books still being written but most fantasy books in specific assume a certain amount of knowledge about a tolkien-esque world. You can do entirely new worlds, and some people do, but most stories are about people and the choices they make.
I've not read enough Corey to form a judgement, but I don't think Jordan has nearly enough literary "heft" to satisfy close reading. Don't get me wrong: the story is fun - I enjoyed every bit of Wheel of Time - and would recommend it to anyone who likes that sort of thing, but the deeper stuff (characters, prosidy, world-building, thematic "meaning") don't bear much examination.
In fantasy / sci-fi, I'd unreservedly recommend:
- Ursula K LeGuin
- Steven Erickson
- Gene Wolfe
With reservations, I'd recommend:
- Patrick Rothfuss (unfinished)
- George RR Martin (unfinished; sometimes dodgy prose, but occasionally transcendent character and theme)
- Dune (just know it goes downhill fast after the first book)
Elsewhere, but still genre (ie: meant to be entertaining, not uber-serious, self-conscious "literature"):
- Patrick O'Brian
- Arthur Conan Doyle
- Dorothy Dunnet
I'd recommend Rudyard Kipling's short stories, but they're hit and miss, and sometimes out of step with modern mores. Maybe stick with the Jungle Book, and Just So Stories, and if you like those make sure you read Without Benefit of Clergy, They (short stories), and Kim (a masterpiece of a novel).
Once you've got through those, Hemingway is approachable, and the true modernist master. Fiesta / The Sun Also Rises (same book, known by different names in different parts of the world) is ironic and beautiful; A Farewell to Arms is beautiful and almost unbearably sad; his short stories are impeccable.
I appreciate the disclosures about Gemeni and Nano Banana, but does that start to feel a little like a conflict of interest or something similar in an article discussing their competition?
I don't know what kind of pro-authoritarian sane-washing statement you're trying to make with this line. Jobs himself would tell you that it's a consequence of letting a salesperson run the company rather than a product person.
Say, there are 10^80 atoms, then there are like 2^(10^80) possible things, and 2^(2^(10^80)) grouping/categorization/ordering on the things, and so on, you can go higher, and the number of possibilities go up really fast.
Not surprising since concepts are virtual. There is a person, a person with a partner is a couple. A couple with a kid is a family. That’s 5 concepts alone.
I’m not sure you grok how big a number 10^43741 is.
If we assume that a "concept" is something that can be uniquely encoded as a finite string of English text, you could go up to concepts that are so complex that every single one would take all the matter in the universe to encode (so say 10^80 universes, each with 10^80 particles), and out of 10^43741 concepts you’d still have 10^43741 left undefined.
A concept space of 10^43741 needs about 43741*3 bits to identify each concept uniquely (by the information theoretic concept of bit, which is more a lower bound on what we traditionally think of as bits in the computer world than a match), or about 16000-ish "bytes", which you can approximate reasonably as a "compressed text size". There's a couple orders of magnitude of fiddling around the edges you can do there but you still end up with human-sized quantities of information to identify specific concepts in a space that size rather than massively-larger-than-the-universe sized.
Things like novels come from that space. We sample it all the time. Extremely, extremely sparsely, of course.
Or to put it another way, in a space of a given size, identifying a specific component takes the log2 of the space's size in bits to identify a concept, not something the size of the space itself. 10^43741 is a very large space by our standards, but the log2 of it is not impossibly large.
If it seems weird for models to work in this space, remember that as the models themselves in their full glory are clocking in at multiple hundreds of gigabytes that the space of possible AIs using this neural architecture is itself 2^trillion-ish, which makes 10^43741 look pedestrian. Understanding how to do anything useful with that amount of possibility is quite the challenge.
I ran it last night using docker and it worked extremely well. You need a HuggingFace read-only API token for the Diarization. I found that the web UI ignored the token, but worked fine when I added it to docker compose as an environment variable.
Politicians, almost without fail, subscribe to climate hysteria, as that allows them to do whatever they want and claim they are doing it for the climate. It's a perfect boondoggle for them.
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