Chubby (@kimmonismus)
Demis Hassabis가 세계 지도자들에게 AGI의 영향력이 산업혁명보다 10배 크고 10배 빠를 것이라고 말한 발언을 소개한 트윗입니다. 작성자는 Perplexity 컴퓨트를 사용해 이를 그래프로 시각화하고 글로벌 GDP에 미치는 영향을 보여주며 '아무도 준비되지 않았다'고 경고합니다. AGI 영향력 경고 및 시각화 사례입니다.
Chubby (@kimmonismus)
Demis Hassabis가 세계 지도자들에게 AGI의 영향력이 산업혁명보다 10배 크고 10배 빠를 것이라고 말한 발언을 소개한 트윗입니다. 작성자는 Perplexity 컴퓨트를 사용해 이를 그래프로 시각화하고 글로벌 GDP에 미치는 영향을 보여주며 '아무도 준비되지 않았다'고 경고합니다. AGI 영향력 경고 및 시각화 사례입니다.
"The Pudding publishes interactive data storytelling stories on a variety of subjects and topics."
https://dhandlib.org/resource-the-pudding/
» https://pudding.cool/
#data #visualization #storytelling
Ultralytics (@ultralytics)
Ultralytics의 YOLO26 검출 결과를 히트맵으로 시각화하는 기능을 소개합니다. 밀도 기반 시각화로 객체 이동 패턴과 고활동 구역을 파악할 수 있어 교통 분석, 리테일 인사이트, 군중 모니터링 등 실무적 분석에 유용한 도구입니다. 관련 탐색 링크가 함께 제공됩니다.
Okay, here is it: https://www.shadertoy.com/view/sfXGDB I just combined the corner point sampling and dilation kernel and do a Gaussian blur after that. Not 100% anti aliased, but better than straight boolean black/white I think. May using a different kernel instead of Gaussian blur makes it more smooth.
Press W,A,S,D to move around and UP/DOWN arrows to zoom in and out.
#Shadertoy #GLSL #WebGL #Math #Graph #Function #Visualization #EdgeDetection
Imaginando releases Dimensional VS 2 expansion by OneTenEleven https://rekkerd.org/imaginando-releases-dimensional-vs-2-expansion-by-oneteneleven/
ChatGPT가 수학·과학 학습을 위해 변수 조작·공식 편집·실시간 그래프를 제공하는 동적 시각 설명 기능을 전 세계에 도입합니다. 70여 개 핵심 개념을 인터랙티브 모듈로 설명해 개념 이해를 돕고, 스터디 모드·퀴즈와 함께 학습 도구로 확장할 예정입니다.
https://openai.com/index/new-ways-to-learn-math-and-science-in-chatgpt/
Cellpond: Spatial programming without escape https://lobste.rs/s/c3dfjr #video #compsci #graphics #visualization
https://www.youtube.com/watch?v=eQgxFuw8f1U
New #CHI2026 paper: “How are Vibrotactile Experiences Visually Represented? A Taxonomy of Illustration Characteristics”
We analyzed hundreds of images from research articles to uncover how vibrotactile experiences are visually represented and synthesized their features into a comprehensive taxonomy.
preprint: https://hal.science/hal-05488387/
This work received a Best Paper Award at #CHI2026
Differential Logic • 18
If we follow the classical line which singles out linear functions as ideals of simplicity then we may complete the analytic series of the proposition in the following way.
The next venn diagram shows the differential proposition we get by extracting the linear approximation to the difference map at each cell or point of the universe What results is the logical analogue of what would ordinarily be called the differential of but since the adjective differential is being attached to just about everything in sight the alternative name tangent map is commonly used for whenever it’s necessary to single it out.
To be clear about what’s being indicated here, it’s a visual way of summarizing the following data.
To understand the extended interpretations, that is, the conjunctions of basic and differential features which are being indicated here, it may help to note the following equivalences.
Capping the analysis of the proposition in terms of succeeding orders of linear propositions, the final venn diagram of the series shows the remainder map which happens to be linear in pairs of variables.
Reading the arrows off the map produces the following data.
In short, is a constant field, having the value at each cell.
Resources
cc: Academia.edu • Cybernetics • Laws of Form • Mathstodon (1) (2)
cc: Research Gate • Structural Modeling • Systems Science • Syscoi
A ternary plot of citrus geneology
https://www.jlauf.com/writing/citrus/
#HackerNews #citrus #genetics #citrus #genealogy #data #visualization #plant #science
Differential Logic • 17
Enlargement and Difference Maps
Continuing with the example the following venn diagram shows the enlargement or shift map in the same style of field picture we drew for the tacit extension
A very important conceptual transition has just occurred here, almost tacitly, as it were. Generally speaking, having a set of mathematical objects of compatible types, in this case the two differential fields and both of the type is very useful, because it allows us to consider those fields as integral mathematical objects which can be operated on and combined in the ways we usually associate with algebras.
In the present case one notices the tacit extension and the enlargement are in a sense dual to each other. The tacit extension indicates all the arrows out of the region where is true and the enlargement indicates all the arrows into the region where is true. The only arc they have in common is the no‑change loop at If we add the two sets of arcs in mod 2 fashion then the loop of multiplicity 2 zeroes out, leaving the 6 arrows of shown in the following venn diagram.
Resources
cc: Academia.edu • Cybernetics • Laws of Form • Mathstodon (1) (2)
cc: Research Gate • Structural Modeling • Systems Science • Syscoi
RameshR (@rezmeram)
Codex for Windows 사용 경험 보고: 작성자는 Codex가 자신을 위해 Second Brain MCP 서버를 단번에 처리(설치/구성)했으며, 아키텍처 시각화를 요청하자 인터랙티브한 아키텍처 다이어그램을 생성해 내부 동작을 설명했다고 전합니다. Codex의 실무적 시각화·자동화 활용 사례입니다.
AA (@measure_plan)
2D force graph를 사용해 여러 'world'를 클러스터로 시각화한 사례 설명. 작성자는 Claude에게 아홉 개 세계의 프롬프트를 분석하도록 요청해 각 프롬프트를 'vast vs intimate'와 'geometric vs realistic' 두 차원으로 정리했으며, 사용자가 논리적 구조를 시각적으로 확인할 수 있도록 하는 워크플로우를 보여준다.
AA (@measure_plan)
가우시안 스플랫(gaussian splats)을 탐색하는 인터페이스 개인 프로젝트 소개: World Labs의 'marble'로 9개의 세계를 생성하고, 각 세계를 기하학적·추상적·광활함·친밀성 등 의미론적 특성 기반 그래프로 시각화했으며, MediaPipe 컴퓨터 비전을 이용해 얼굴 추적 카메라 컨트롤을 추가한 구현입니다.
https://x.com/measure_plan/status/2029229021070774433
#mediapipe #computervision #visualization #gaussiansplats #3d
Ilir Aliu (@IlirAliu_)
Obsidian 노트의 임베딩을 활용해 '사고의 형태'를 보여주는 3D 사고지도를 만들었다는 소개입니다. Obsidian에서 추출한 노트 임베딩을 3D 네트워크로 배치해 중앙화·분산·분포된 사고 구조를 탐색할 수 있도록 시각화하는 응용 사례를 설명합니다.
Lilaq: Advanced data visualization in Typst https://lobste.rs/s/boot5m #visualization
https://lilaq.org/
The Six Circles Theorem illustrated https://janmr.com/posts/six-circles-theorem-illustrated/ #math #visualization #geometry #theorem
Differential Logic • 15
The structure of a differential field may be described as follows. With each point of there is associated an object of the following type: a proposition about changes in that is, a proposition In that frame of reference, if is the universe generated by the set of coordinate propositions then is the differential universe generated by the set of differential propositions The differential propositions and may thus be interpreted as indicating and respectively.
A differential operator of the first order type we are currently considering, takes a proposition and gives back a differential proposition In the field view of the scene, we see the proposition as a scalar field and we see the differential proposition as a vector field, specifically, a field of propositions about contemplated changes in
The field of changes produced by on is shown in the following venn diagram.
The differential field specifies the changes which need to be made from each point of in order to reach one of the models of the proposition that is, in order to satisfy the proposition
The field of changes produced by on is shown in the following venn diagram.
The differential field specifies the changes which need to be made from each point of in order to feel a change in the felt value of the field
Resources
cc: Academia.edu • Cybernetics • Laws of Form • Mathstodon (1) (2)
cc: Research Gate • Structural Modeling • Systems Science • Syscoi
[Show GN: microGPT를 웹사이트로 시각화 해보았습니다.
Andrej Karpathy가 GPT의 구조를 요약한 microGPT 프로젝트를 기반으로, GPT의 전체 파이프라인을 인터랙티브 웹사이트로 시각화한 데모가 공개되었습니다. 토크나이징부터 추론까지의 내부 흐름을 단계별로 실시간으로 확인할 수 있습니다.
https://news.hada.io/topic?id=27102
#gpt #visualization #machinelearning #interactive #demonstration