Main Street: Tilton, New Hampshire
I waited in the car while he
went into the small old-fashioned grocery
for a wedge of cheddar.
Late summer, Friday afternoon.
A mother and child walked past
trading mock blows
with paper bags full of —what—
maybe new clothes for school.
They turned the corner by the Laundromat,
and finally even the heel
of the girl’s rubber flip-flop
passed from sight.
Across the street a blue pickup, noisy,
with some kind of homemade wooden
scaffolding in the bed pulled
close to the curb. A man got out
and entered the bank . . .
………………………………….. A woman sat
in the cab, dabbing her face
with tissue. She might have been weeping,
but it was hot and still,
and maybe she wasn’t weeping at all.
Through time and space we came
to Main Street—three days before
Labor Day, 1984, 4:47 in the afternoon;
and then that moment passed, displaced
by others equally equivocal.
by Jane Kenyon
from Otherwise
Graywolf Press, 1997

Sigrid Undset was an unlikely literary star. Modernist themes were on the ascendancy in those days, but she wanted to write medieval romances. So at night, after work, she researched her subject, studying the sagas, old ballads, and chronicles of the Middle Ages.
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Military artificial intelligence (AI)-enabled technology might still be in the relatively fledgling stages but the debate on how to regulate its use is already in full swing. Much of the discussion revolves around autonomous weapons systems (AWS) and the ‘responsibility gap’ they would ostensibly produce. This contribution argues that while some military AI technologies may indeed cause a range of conceptual hurdles in the realm of individual responsibility, they do not raise any unique issues under the law of state responsibility. The following analysis considers the latter regime and maps out crucial junctions in applying it to potential violations of the cornerstone of international humanitarian law (IHL) – the principle of distinction – resulting from the use of AI-enabled military technologies. It reveals that any challenges in ascribing responsibility in cases involving AWS would not be caused by the incorporation of AI, but stem from pre-existing systemic shortcomings of IHL and the unclear reverberations of mistakes thereunder. The article reiterates that state responsibility for the effects of AWS deployment is always retained through the commander’s ultimate responsibility to authorise weapon deployment in accordance with IHL. It is proposed, however, that should the so-called fully autonomous weapon systems – that is, machine learning-based lethal systems that are capable of changing their own rules of operation beyond a predetermined framework – ever be fielded, it might be fairer to attribute their conduct to the fielding state, by conceptualising them as state agents, and treat them akin to state organs.
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The ant oncologist will see you now.
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