In 2014, twitter revealed that almost 10% of its users are bots posing as human account holders. This comes as no surprise to many since most of the content posted online is not written by humans, but generated by machines. We have recently witnessed the rise of new forms and formats for art creation - be it in music, the visual art, literature and poetry - inspired by or produced by means of automation and digitization. This lecture overviews some of the questions raised by automated content production and algorithmic production of art. Rethinking the status of terms such as "chance," "found art" and arbitrariness in today's creation, I inquire into the possibilities of these new forms for producing art. Which avenues opened for art making? What are the new formats that have appeared thanks to non-human creation and to non-human audience? How are traditional art containers such as books, art exhibitions and even music composition reconfigured in algorithmic culture?

1. ‫האלגוריתמים‬ ‫בעידן‬ ‫ויצירתיות‬ ‫יצירה‬ ‫על‬
‫דצמבר‬2015
‫ד‬"‫מיקולינסקי‬ ‫רומי‬ ‫ר‬

8. ‫היום‬ ‫נדבר‬ ‫מה‬ ‫על‬?
.1‫והדיגיטציה‬ ‫האוטומציה‬ ‫בגלל‬ ‫ליצירה‬ ‫קרה‬ ‫מה‬?
.2‫לתוכן‬ ‫קרה‬ ‫מה‬?‫תרבותיים‬ ‫אובייקטים‬ ‫של‬ ‫למעמד‬
‫מסורתיים‬?
.3‫לקהל‬ ‫קרה‬ ‫מה‬?
.4‫כיוצרים‬ ‫לנו‬ ‫נפתחו‬ ‫אפשרויות‬ ‫אלו‬,‫מעצבים‬?

9. ‫חלק‬1-‫אלגוריתמים‬
Michael Najjar, nasdaq_80-09, from the series high altitude, 2008-2010

10. ‫אלגוריתם‬
‫מסוימת‬ ‫משימה‬ ‫לביצוע‬ ‫שיטתית‬ ‫דרך‬ ‫הוא‬ ‫אלגוריתם‬
‫במספר‬‫סופי‬‫צעדים‬ ‫של‬

11. ‫אלגוריתם‬
‫תהליך‬‫ממוחשב‬‫סדור‬‫שמשתמש‬‫בערכים‬‫או‬‫בערך‬
‫כלשהו‬‫כקלט‬‫בכדי‬‫ליצר‬‫ערך‬‫או‬‫ערכים‬‫נוספים‬
‫כפלט‬.
‫אלגוריתם‬‫הוא‬‫רצף‬‫של‬‫צעדים‬‫ממחושבים‬‫שהופכים‬
‫פלט‬‫לקלט‬.

13. ‫יצירתיים‬ ‫אלגוריתמים‬ ‫פוגשים‬ ‫אנחנו‬ ‫איפה‬?

14. ‫יצירתיים‬ ‫אלגוריתמים‬ ‫פוגשים‬ ‫אנחנו‬ ‫איפה‬?
‫באלגוריתמים‬ ‫יצירתיים‬ ‫שימושים‬ ‫פוגשים‬ ‫אנחנו‬ ‫איפה‬?

16. Pentametron (Ranjit Bhatnagar)

18. Two Headlines

20. Darius Kazemi
http://tinysubversions.com/talks/eyeo/

21. Darius Kazemi
https://twitter.com/tinysubversions/lists/darius-kazemi-s-bots/members

22. Darius Kazemi
Monetizing concern
• http://www.regardingspectatorship.net/mone
tizing-concern-2/

23. MedienGruppe Bitnik/
Random Darknet Shopper

25. MedienGruppe Bitnik/
Random Darknet Shopper
«Can a robot, or a piece of software, be jailed if it
commits a crime?
Where does legal culpability lie if code is criminal by
design or default?
What if a robot buys drugs, weapons, or hacking
equipment and has them sent to you, and police
intercept the package?»
http://www.theguardian.com/technology/2014/dec/05/software-bot-
darknet-shopping-spree-random-shopper

26. ‫חלק‬2-‫תוכן‬

27. http://listen.hatnote.com/

28. Algorave
Algorave is made from “sounds wholly or
predominantly characterised by the
emission of a succession of repetitive
conditionals“. These days just about all
electronic music is made using software,
but with artificial barriers between the
people creating the software algorithms
and the people making the music.
http://algorave.com/about/

29. Using systems built for creating algorithmic music, such as IXI
Lang, overtone, puredata, Max/MSP, SuperCollider, Impromptu,
Fluxus, Tidal, Gibber, and Sonic Pi these barriers are broken down,
and musicians are able to compose and work live with their music
as algorithms. This has good and bad sides, but a different
approach leads to
interesting places.
Algorave

30. Algorave
This is no new idea, but Algoraves focus on humans making and
dancing to music. Algorave musicians don’t pretend their software
is being creative, they take responsibility for the music they make,
shaping it using whatever means they have. More importantly the
focus is not on what the musician is doing, but on the music, and
people dancing to it.

31. Algorave
Algoraves embrace the alien sounds of raves from the past, and
introduce alien, futuristic rhythms and beats made through strange
algorithm-aided processes. It’s up to the good people on the dancefloor
to help the musicians make sense of this and do the real creative work
in making a great party

32. James Bridle – ship a drift
www.shipadrift.com

33. James Bridle - dronestagram

34. James Bridle - dronestagram

35. Kenneth Goldsmith
From readership to “thinkership”
https://www.moma.org/explore/multimedia/videos/251/1210

36. Eran Hadas
http://eranhadas.com/code/

37. Eran Hadas
"‫קוד‬”‫בחמשת‬ ‫שחבויים‬ ‫ההייקו‬ ‫שירי‬ ‫כל‬ ‫את‬ ‫להציג‬ ‫שתוכנת‬ ‫ספר‬ ‫הוא‬
‫התורה‬ ‫חומשי‬.
‫סקאלה‬ ‫בשפת‬ ‫קטנה‬ ‫תוכנה‬ ‫כתבתי‬ ‫בתחילה‬,‫מספר‬ ‫פרק‬ ‫שקוראת‬
‫הייקו‬ ‫שירי‬ ‫בו‬ ‫ומוצאת‬ ‫בראשית‬.‫היפנית‬ ‫המסורת‬ ‫מן‬ ‫שיר‬ ‫צורת‬ ‫הוא‬ ‫הייקו‬.
‫בהייקו‬3‫ו‬ ‫שורות‬-17‫הברות‬.‫הראשונה‬ ‫בשורה‬5‫הברות‬,‫בשנייה‬7
‫ובשלישית‬ ‫הברות‬5‫הברות‬.‫ומשונים‬ ‫שונים‬ ‫תפקידים‬ ‫מילאו‬ ‫הייקו‬ ‫שירי‬
‫והמערבית‬ ‫היפנית‬ ‫בשירה‬,‫בדיון‬ ‫טענה‬ ‫העלאת‬ ‫כמו‬,‫בעונת‬ ‫רגע‬ ‫תיאור‬
‫היתולית‬ ‫הלצה‬ ‫סתם‬ ‫או‬ ‫שנה‬.‫התעלמתי‬ ‫אלו‬ ‫מכל‬,‫את‬ ‫רק‬ ‫לשמר‬ ‫ובחרתי‬
‫ה‬ ‫הקסמי‬ ‫המקצב‬-‫ז‬-‫ה‬,5-7-5.‫למעשה‬,‫נוספת‬ ‫בתכונה‬ ‫חייב‬ ‫הייקו‬,‫קירו‬–
‫חיתוך‬,‫חתכתי‬ ‫אלא‬ ‫השירים‬ ‫את‬ ‫כתבתי‬ ‫שלא‬ ‫כך‬ ‫מתוך‬ ‫מושגת‬ ‫היא‬ ‫אך‬
‫אחר‬ ‫הקשר‬ ‫תוך‬ ‫אל‬ ‫התורה‬ ‫מתוך‬ ‫אותם‬.

38. Eran Hadas
“‫ישראל‬ ‫שמע‬
‫אלהינו‬ ‫אדוני‬
‫אחד‬ ‫אדוני‬”
‫היהדות‬,‫כך‬‫אומרים‬,‫ניחנה‬‫בתכונה‬‫מקודשת‬.‫יש‬‫לה‬‫מקצב‬‫אוניברסלי‬.
‫טוענים‬‫כי‬‫תפילת‬“‫שמע‬‫ישראל‬”‫נפתחת‬‫בהייקו‬.‫זאת‬‫כמובן‬‫בהנחה‬
‫שסופרים‬‫את‬‫השווא‬‫הנע‬‫במילה‬‫שמע‬‫כהברה‬…‫וגם‬‫בהנחה‬‫שאת‬‫שם‬
‫השם‬‫הוגים‬(‫וכותבים‬)‫כאדוני‬.‫מבחינתי‬,‫ב‬-”‫שמע‬‫ישראל‬”‫יש‬4‫הברות‬
‫ולכן‬‫אין‬‫זה‬‫הייקו‬.‫כדי‬‫להוסיף‬‫דרגות‬‫קושי‬,‫אגלה‬‫שלמעשה‬‫ביפן‬‫אין‬
‫סופרים‬‫הברות‬‫אלא‬“‫שהיות‬”morae)),‫וגם‬‫לעברית‬‫התנ‬”‫כית‬‫סיבוכים‬
‫דומים‬:‫חטפים‬,‫שיש‬‫הנוהגים‬‫לספור‬‫אותם‬‫כחצאי‬‫הברות‬,‫וכמובן‬
‫השווא‬,‫מתעלל‬‫סדרתי‬‫בלשונאים‬.

39. Frederic Kaplan
-

41. Darius Kazemi
Street View Experiments :
Messing around with
Google Street View.

42. ‫חלק‬3-‫הקהל‬

43. Algorithmic Culture

44. Algorithmic Culture
The ways in which computers, running complex
mathematical formulae, engage in what’s often
considered to be the traditional work of culture:
the sorting, classifying, and hierarchizing of
people, places, objects, and ideas.
https://medium.com/futurists-views/algorithmic-culture-culture-now-has-
two-audiences-people-and-machines-2bdaa404f643#.p9br67aky

45. Algorithmic Culture
Facebook engages in much the same work in
determining which of your friends, and which of
their posts, will appear prominently in your
news feed. The same goes for shopping sites
and video or music streaming services, when
they offer you products based on the ones you
(or someone purportedly like you) have already
consumed.
https://medium.com/futurists-views/algorithmic-culture-culture-now-
has-two-audiences-people-and-machines-2bdaa404f643#.p9br67aky

46. What do you want?/ Beautiful Data II
http://metalab.harvard.edu/2015/09/a-bit-in-the-abyss/

47. What do you want?/ Beautiful Data II

48. Bot or Not?

49. ‫חלק‬4–‫חדשות‬ ‫אפשרויות‬

50. Metalab – New tools new approaches
http://metalab.harvard.edu/about/

51. Metalab – New tools new approaches

52. Templated Authorship + Random Input +
Context
Darius Kazemi’s formula:
http://tinysubversions.com/talks/eyeo/

53. Thank you!
rominating.tumblr.com
-