<div dir="ltr">Hi all,<div><br></div><div>Just copying the email I sent to Matthew a few days ago to contribute to the scholarship on this subject.</div><div><br></div><div><br></div><div><div>"....a copy of my recent book (<i><a href="https://www.luminosoa.org/site/books/10.1525/luminos.83/" target="_blank">High-Tech Trash: Glitch, Noise, and Aesthetic Failure</a>, </i>University of California Press, 2019) which addresses themes of error, accident, and failure in computational systems, albeit primarily from the perspective of aesthetics."</div><div><br></div><div>The book can also be downloaded for free, through open access here: <i><a href="https://www.luminosoa.org/site/books/10.1525/luminos.83/" target="_blank">High-Tech Trash: Glitch, Noise, and Aesthetic Failure</a></i> </div><div dir="ltr"><br></div><div dir="ltr"></div><div><br></div><div>Best,</div><div><br></div><div><br clear="all"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr">Carolyn L. Kane, Author of </div><div dir="ltr"><i><a href="https://www.luminosoa.org/site/books/10.1525/luminos.83/" target="_blank">High-Tech Trash: Glitch, Noise, and Aesthetic Failure</a></i> </div><div dir="ltr">(University of California Press, 2019)</div><div dir="ltr"><br></div><div dir="ltr"><div style="font-size:12.8px"><i style="font-size:small"><a href="http://www.amazon.com/Chromatic-Algorithms-Carolyn-L-Kane/dp/022600273X/ref=sr_1_3?s=books&ie=UTF8&qid=1387478152&sr=1-3" target="_blank">Chromatic Algorithms: Synthetic Color, Computer Art, and Aesthetics after Code</a></i><span style="font-size:small"> </span><span style="font-size:small">(University of Chicago Press, 2014)</span></div><div><br></div><div><a href="https://www.ryerson.ca/kane/" target="_blank">https://www.ryerson.ca/kane/</a></div></div><div dir="ltr">Associate Professor, School of Professional Communication<br>Faculty of Communication and Design<br>Ryerson University<br>80 Gould Street<br>Toronto, Ontario<br>Canada M5B 2K3</div><div dir="ltr"><br></div><div dir="ltr"><br></div></div></div></div></div></div></div></div></div></div><div><div dir="ltr" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr">Carolyn L. Kane, Author of </div><div dir="ltr"><i><a href="https://www.luminosoa.org/site/books/10.1525/luminos.83/" target="_blank">High-Tech Trash: Glitch, Noise, and Aesthetic Failure</a></i> </div><div dir="ltr">(University of California Press, 2019)</div><div dir="ltr"><br></div><div dir="ltr"><div style="font-size:12.8px"><i style="font-size:small"><a href="http://www.amazon.com/Chromatic-Algorithms-Carolyn-L-Kane/dp/022600273X/ref=sr_1_3?s=books&ie=UTF8&qid=1387478152&sr=1-3" target="_blank">Chromatic Algorithms: Synthetic Color, Computer Art, and Aesthetics after Code</a></i><span style="font-size:small"> </span><span style="font-size:small">(University of Chicago Press, 2014)</span></div><div><br></div><div><a href="https://www.ryerson.ca/kane/" target="_blank">https://www.ryerson.ca/kane/</a></div></div><div dir="ltr">Associate Professor, School of Professional Communication<br>Faculty of Communication and Design<br>Ryerson University<br>80 Gould Street<br>Toronto, Ontario<br>Canada M5B 2K3<div dir="ltr"><br><br></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Fri, Jul 3, 2020 at 1:55 PM Matthew Kirschenbaum <<a href="mailto:mkirschenbaum@gmail.com" target="_blank">mkirschenbaum@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div>Hello all,</div><div><br></div><div>I am interested in a better understanding of the nature of computational error. My sense is that actual, literal (mathematical) mistakes in modern computers are quite rare; the notorious Pentium bug of the early 1990s is the exception that proves the rule. Most bugs are, rather, code proceeding to a perfectly correct logical outcome that just so happens to be inimical or intractable to the user and/or other dependent elements of the system. The Y2K "bug," for instance, was actually code executing in ways that were entirely internally self-consistent, however much havoc the code would wreak (or was expected to wreak).<br></div><div><br></div><div>Can anyone recommend reading that will help me formulate such thoughts with greater confidence and accuracy? Or serve as a corrective? I'd like to read something fundamental and even philosophical about, as my subject line has it, <i>the nature of computational error</i>. I'd also be interested in collecting other instances comparable to the Pentium bug--bugs that were actual flaws and mistakes hardwired at the deepest levels of a system.<br></div><div><br></div><div>Thank you-- Matt</div><div><br></div><div><br>-- <br><div dir="ltr"><div dir="ltr"><div><div dir="ltr">Matthew Kirschenbaum<br>Professor of English and Digital Studies<br>Director, Graduate Certificate in Digital Studies<br>Printer's Devil, BookLab<br>University of Maryland</div><div><a href="mailto:mgk@umd.edu" target="_blank">mgk@umd.edu</a><br></div></div></div></div></div></div>
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