Stephen Jang

Hello world! I am.tuner.

[stephenjang]

[stephenjang]

[stephenjang]

항상 애매하고 부족한 LINE for Mac OS X

LINE의 Mac OS X 앱은 단순한 기능에도 불구하고 항상 아쉬운 점이 보인다. 1. OS X의 Notifications API를 아직도 사용하고 있지 않는 점. 2. 최근 버전에서 플랫 디자인이 적용되었지만 여전히 과한 패딩이 적용된 여백의 엉성한 레이아웃. 3. 레이아웃의 UI 엘리먼트 또는 오브젝트들의 간격과 크기가 엉망이다. 4. 기본 글꼴이 시스템 글꼴이 아닌 나눔고딕(?)이어서 그런지 2번, 3번의 문제와 더해져서 UI가 Mac OS X의 App다운 느낌이 없고 Qt로 만들다가 귀찮아서 릴리즈해버린 느낌이 든다. 5. 네이티브 글꼴 API를 사용하지 않아서 그런지 글꼴을 변경하려고 할 때 프리징 현상이 있다. 6. 창의 최소 너비가 402px(shadow effects를 제외한 너비)로 강제되어 있는 점. 7. 창의 너비와 폭을 조절할 때 마우스 커서의 아이콘이 시스템 기본이 아니라서 괴상하다. 8. 다운로드 디렉토리 경로가 "/Users/USERNAME/Library/Containers/jp.naver.line.mac/Data/Downloads"으로 되어 있어서 괴랄맞다. Adobe 처럼 NHN스러운 자체 룩앤필을 강제할 목적으로 의도된건지는 몰라도 현재 디자인은 Mac OS X 플랫폼에 전혀 어울리지 않으며 네이티브 API를 활용하려는 아이디어가 없는 것 같다. 늘어가는 라인 사용자들 머릿 수 만큼 개발팀이 신경 좀 써줬으면 좋겠고 그들만의 디자인 감각의 강제는 그만 뒀으면 좋겠다.

[stephenjang]

[stephenjang]

[stephenjang]

[stephenjang]

[stephenjang]

오늘 병원식은 특식으로 카레가 나왔다. 아이폰 4의 렌즈에 흠집이 많아서 화질이 구린건 덤.

[awkwardsituationist]

when kai fagerström happened upon an old cottage in rural suomusjärvi, finland, abandoned decades ago, he began to document its new residents.

there were badger cubs born under the floorboards, who now used the fireplace as an entrance. there was a raccoon dog pup who would drop in every night at the same time. there was a pygmy owl who would try to catch the home’s voles. there were red squirrels who had built their dreys inside the house. and there was a fox pup, seen peeking out from a cat door, that had taken up in the dilapidated shed.

"there’s consolation in the idea that nature is reclaiming the places it has lent to people," he says, adding that when enters the house “it’s like stepping back in time. the past lingers in the corners.” it’s not just the animals that interest him, but the people no longer there. “who were they? what was their daily life like?”

to get his shots of these human weary animals, fagerström typically envisions an image first and then plans it out. he’ll set his camera at the perfect angle, throw out peanuts as bait, and wait patiently for wildlife to wander into the picture frame. “sometimes you get lucky, but often it takes all night,” he says. “every so often a shot is pure happenstance.”

[stephenjang]

Birdy - Wings

[stephenjang]

Bondax - Giving it All

[stephenjang]

Sóley - Pretty Face

[stephenjang]

Mélanie Laurent - Kiss

[stephenjang]

Michael Lagger - Send Off

[arpeggia]

Pen drawings by Joan Saló

[patakk]

[plummerfernandez]

Drawing faces as instructed by facial recognition software. 

Recently I’ve tried to entirely automate the appearance of faces steered by facial recognition. Now I’m experimenting with me drawing the face as directed by facial recognition software. The drawing tool is a really basic interface made quickly in Processing, but the principle works - when my drawing receives a higher face detection score I progress with my drawing, when I score lower my last mark is undone. Its a very strange feeling, like being one of those artists at a police station working with a witness who is trying to describe a face, but limited to a vocabulary of just ‘getting warmer, getting colder’. A reverse E-FIT program where the machine is trying to tell me who it saw.

Lately I’ve been really interested in new relationships in labour between humans and computers + algorithms. Amazon warehouses dictate to humans what to do. Mechanical turks await instructions at a computer to assist larger autonomous systems. Chess players receive advice from algorithms in a game of hybrid chess.