John McChesney-Young finished reading The Magician's Daughter by H. G. Parry
The Magician's Daughter by H. G. Parry
Off the coast of Ireland sits a legendary island hidden by magic. A place of ruins and ancient trees, sea-salt …
Theology, fantasy and science fiction, science, history, classics, general bibliophile
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Off the coast of Ireland sits a legendary island hidden by magic. A place of ruins and ancient trees, sea-salt …
“Our Dragon doesn’t eat the girls he takes, no matter what stories they tell outside our valley. We hear them …
All they needed to break the world was a door, and someone to open it.
Camford, 1920. Gilded and glittering, …
Contains:
[1]: openlibrary.org/works/OL15331214W/The_Fellowship_of_the_Ring [2]: openlibrary.org/works/OL262757W/The_Two_Towers [3]: …
Contains:
Read aloud to my wife.
A very complete but non-technical survey of the numerous obstacles to the settlement of space, in particular the moon and Mars. The authors consider not just the physics and biology, but also the economics, legal, and political aspects, and they counsel patience while research - much research - is done before making any serious commitments to space colonies.
If you ask, she must answer. A steerswoman's knowledge is shared with any who request it; no steerswoman may refuse …
In a shabby house, on a shabby street, in the new capital of Madrid, Luzia Cotado uses scraps of magic …
While I very much enjoyed the book, nearly as much as I did the first, I felt that the dialog was excessively moralistic and heavy-handed. It's not at all that I disagree with it, but Klune's point was beyond possible to miss. That said, it was a gripping story and a lovely romance and if his didacticism changes even one person's mind I will will entirely forgive him.
Fascinating non-technical study of AI, concentrating on three types: predictive, generative, and content moderation, going into details on current strengths (if any: predictive is very bad at it) and future prospects for them; there's also a section on Artificial General Intelligence. My only two criticisms are that although it addresses exploitation of workers in the Third World for the process of adding training materials, I think it underplays current inequalities caused by AI; and it does not mention at all the excessive use of water and power for the data centers AI uses. To be fair, the book may have been completed before the drastic resource needs were known, but it's unfortunate that the matter is absent, although perhaps a revised paperback version might include it. An errata note: figure 1.2 (p.29) lacks am application referred to on p.33, and the identification key to the images in figure 5.1 are …
Fascinating non-technical study of AI, concentrating on three types: predictive, generative, and content moderation, going into details on current strengths (if any: predictive is very bad at it) and future prospects for them; there's also a section on Artificial General Intelligence. My only two criticisms are that although it addresses exploitation of workers in the Third World for the process of adding training materials, I think it underplays current inequalities caused by AI; and it does not mention at all the excessive use of water and power for the data centers AI uses. To be fair, the book may have been completed before the drastic resource needs were known, but it's unfortunate that the matter is absent, although perhaps a revised paperback version might include it. An errata note: figure 1.2 (p.29) lacks am application referred to on p.33, and the identification key to the images in figure 5.1 are shuffled.