10pm and on. Unstructured flows, poorly visualized. Some fragments of answers collected. Lost connection to the model for now. Early night is vast and silent, some words resound, some thoughts fade, resolutions will have to wait until sun wakes again.
Irgendwo entlang des Mittags. Heißer Tee gegen kalte Hände, schon wieder. Logenplatz über dem vorweihnachtlichem Paketbotenballet in der Straße; der entscheidende Kurier zieht ohne Pause vorüber und beschert so eine Reise quer durch die Stadt. Tiefstehende Sonne malt scharfkantige Schatten auf kahle Wände, die Krähen haben die Dächer verlassen und ihr heutiges Glück am Fluss gesucht. Warteschlange für Telefonate, kurze Anfragen an das Modell, das den heute sarkastischen Unterton geflissentlich ignoriert und gewohnt wenig hilfreich bleibt. (Anderen Pullover suchen, unter der Kapuze verschwinden, Kamera verschließen. Und dann langsam weiter.)
11am and on. Watching icicles grow. And a small airplane circling above the city, a vague grey shape suggesting the morning lost a lot of its initial clarity to thin clouds or floating fog. How to fill the empty yet short gaps in a tight rhythm: Trying to lead the model astray by discussing questions of metaphors and analogies, but getting stuck in ones own thinking even before dealing with odd responses. And trying to switch contexts profoundly, to avoid stumbling across similar names in different projects. Things get confused all too easily.
10am and on. Uncomfortable temperatures and the impossibilities of finding a middle ground. Also: Joining that call to see the other participant leave just after throwing him a cautious Hello. Social dynamics of digital communication. (And deceleration. Todays model has a filled request waiting queue again. Time that could be spent on pondering the actual question and finding an answer on ones own. Who's educating who here?)
4pm and on. Voice channel disconnected. What remains of the day: Rewinding to where the earlier code trace started. Leaving some marks. Build. Restart. And see what kind of results the next hours will come up with. (Also: The interesting effect of trying to talk to the model and giving up halfway through, learning the answer to the actual question arose the very moment the question found the right words. An other kind of training.)