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Posts by Marlo Souza

"só sei que todo o cabaret me aplaudiu de pé quando cheguei ao fim..."

1 month ago 0 0 0 0

Em estado de: só queria um chocolatinho, um Rivotril e uma dosesinha de cicuta

1 month ago 0 0 0 0

obrigado pelo apoio de todos nesse momento difícil: a ao3 caída por horas + último dia do early bird do PROPOR

1 month ago 0 0 0 0

tantos anos de ballet e dança e perco minha bunda em um ano sem academia 💀🕊️

1 month ago 0 0 0 0

nossa, cada dia tenho menos vontade de trabalhar com pln. como a área tá ficando chata

1 month ago 0 0 0 0

você tem um jeito verde de ser e eu sou meio vermelho....

1 month ago 0 0 0 0

e o vento vai levando tudo embora

2 months ago 0 0 0 0

hot gays listen top akrilla

3 months ago 0 0 0 0

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6 months ago 0 0 0 0
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ai sei la, as vezes a gente gosta de miojo com requeijão sabe!? tem coisa que não se publiciza 😂

6 months ago 0 0 0 0
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She Broke Off Two Engagements. She Couldn’t Commit. Now She’s Dating Chatbots Instead. As chatbot romance grows more common, women are redefining what they want from a partner—even if they are just ones and zeros.

This is not a romance. Nobody is "in love" with apps. There are no A.I. boyfriends. You cannot "date" a chatbot. Accepting this framing and treating it as real is tech-industry propaganda. slate.com/technology/2...

6 months ago 2177 419 38 67

eu entrei no curso pra estudar metaontologia e epistemologia formal. estou até o pescoço em filosofia da mente 🤡

7 months ago 0 0 0 0

"Carta criada pelo mago Clow, abandone a sua velha forma e transforme-se para servir ao seu novo dono, em nome de Sakura!"

1 year ago 0 0 0 0
a table labeled "How common is your problem, how helpful is the response?"  

There are three columns labeled common, rare, and novel and two rows labeled Actual Human Expert and LLM. 

Common problem, human expert: helpful
Rare problem, human expert: more helpful
Novel problem, human expert: most helpful
Common problem, LLM: helpful
Rare problem, LLM: unhelpful
Novel problem, LLM: harmful

a table labeled "How common is your problem, how helpful is the response?" There are three columns labeled common, rare, and novel and two rows labeled Actual Human Expert and LLM. Common problem, human expert: helpful Rare problem, human expert: more helpful Novel problem, human expert: most helpful Common problem, LLM: helpful Rare problem, LLM: unhelpful Novel problem, LLM: harmful

i feel compelled to remind everyone that chatgpt/LLMs are functionally the *opposite* of an actual expert.

the more your problems are unusual or novel, the more likely LLMS are to be wrong. they are least helpful when it's most important

1 year ago 970 330 21 39
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AI syllabus (in progress) AI syllabus (Mar 2025) AI and reality https://pca.st/episode/4c263872-a108-4c1b-8fdf-d35ffa36d39c AI definitions 🎙️The Data Fix with Dr. Mél Hogan Defining, with Ali Alkhatib E51 (2025) https://pla...

🙋🏼‍♂️question

AI-critical scholars and artists etc:

Recommendations for readings, films, and podcasts for a grad level syllabus pertaining to AI and curatorial practices?

I’ve got a total mess of an outline going here docs.google.com/document/d/1...

anyone can edit, adapt, repurpose, improve

1 year ago 68 20 19 3

já dizia o poeta: deus me livre de não ser baiano

1 year ago 1 0 0 0
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"a formação docente é de fato uma mistura de encantamento
com desespero." HAHAHAHAHAHAHA nunca ri tanto lendo um relatório de estágio

1 year ago 1 0 0 0

john, i'm only dancing.....

1 year ago 0 0 0 0

oh wow! this is beautiful!

1 year ago 0 0 1 0
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Group-to-individual generalizability and individual-level inferences in cognitive neuroscience Much of cognitive neuroscience research is focused on group-averages and interindividual brain-behavior associations. However, many theories core to t…

👉 "We ... consider two requirements of group-to-individual generalizability ... and suggest that most processes in cognitive neuroscience do not meet these assumptions. Consequently, interindividual findings are inappropriate for intraindividual inferences"

www.sciencedirect.com/science/arti...

1 year ago 35 16 0 2

hahahahaha

1 year ago 0 0 0 0

nossa, a luta diária pra não sair gritando 'howling' do SYML pelas ruas dessa cidade

1 year ago 0 0 0 0

gente, mas como que você entrou nesse canto da internet? não me aparece uma gay biscoiteira, somente doguinhos, novelinhas tailandesas, e a destruição da sociedade relatada em tempo real

1 year ago 1 0 1 0
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I'm in love with your brother.

1 year ago 0 0 0 0
Screenshot of Table of Contents (Part 1)

Contents
1 Introduction 217
2 Positionality 221
3 Overview of Risks and Harms Associated with Computer
Vision Systems and Proposed Mitigation Strategies 223
3.1 Representational Harms . . . . . . . . . . . . . . . . . . . 223
3.2 Quality-of-Service and Allocative Harms . . . . . . . . . . 229
3.3 Interpersonal Harms . . . . . . . . . . . . . . . . . . . . . 237
3.4 Societal Harms: System Destabilization and Exacerbating
Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . 245
4 Frameworks and Principles for Computer Vision
Researchers 266
4.1 Guidelines for Responsible Data and Model Development . 267
4.2 Measurement Modeling . . . . . . . . . . . . . . . . . . . 271
4.3 Reflexivity . . . . . . . . . . . . . . . . . . . . . . . . . . 273
5 Reorientations of Computer Vision Research 276
5.1 Grounded in Historical Context and Considering
Power Dynamics . . . . . . . . . . . . . . . . . . . . . . . 276
5.2 Small, Task Specific . . . . . . . . . . . . . . . . . . . . . 279
5.3 Community-Rooted . . . . . . . . . . . . . . . . . . . . . 280

Screenshot of Table of Contents (Part 1) Contents 1 Introduction 217 2 Positionality 221 3 Overview of Risks and Harms Associated with Computer Vision Systems and Proposed Mitigation Strategies 223 3.1 Representational Harms . . . . . . . . . . . . . . . . . . . 223 3.2 Quality-of-Service and Allocative Harms . . . . . . . . . . 229 3.3 Interpersonal Harms . . . . . . . . . . . . . . . . . . . . . 237 3.4 Societal Harms: System Destabilization and Exacerbating Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . 245 4 Frameworks and Principles for Computer Vision Researchers 266 4.1 Guidelines for Responsible Data and Model Development . 267 4.2 Measurement Modeling . . . . . . . . . . . . . . . . . . . 271 4.3 Reflexivity . . . . . . . . . . . . . . . . . . . . . . . . . . 273 5 Reorientations of Computer Vision Research 276 5.1 Grounded in Historical Context and Considering Power Dynamics . . . . . . . . . . . . . . . . . . . . . . . 276 5.2 Small, Task Specific . . . . . . . . . . . . . . . . . . . . . 279 5.3 Community-Rooted . . . . . . . . . . . . . . . . . . . . . 280

Screenshot of Table of Contents (Part 2)

6 Systemic Change 285
6.1 Collective Action and Whistleblowing . . . . . . . . . . . . 285
6.2 Refusal/The Right not to Build Something . . . . . . . . . 287
6.3 Independent Funding Outside of Military and Multinational
Corporations . . . . . . . . . . . . . . . . . . . . . . . . . 289
7 Conclusion 291
References 293

Screenshot of Table of Contents (Part 2) 6 Systemic Change 285 6.1 Collective Action and Whistleblowing . . . . . . . . . . . . 285 6.2 Refusal/The Right not to Build Something . . . . . . . . . 287 6.3 Independent Funding Outside of Military and Multinational Corporations . . . . . . . . . . . . . . . . . . . . . . . . . 289 7 Conclusion 291 References 293

Dear computer vision researchers, students & practitioners🔇🔇🔇

Remi Denton & I have written what I consider to be a comprehensive paper on the harms of computer vision systems reported to date & how people have proposed addressing them, from different angles.

PDF: cdn.sanity.io/files/wc2kmx...

1 year ago 386 164 8 10

hot gays listen to akrilla

1 year ago 0 0 0 0

Atenção: o setlist formatura circa 2010 voltou como festa vintage. Quero deixar meu proptesto registrado

1 year ago 0 0 0 0

Interditem os djs de pop desse país

1 year ago 0 0 0 0

E o tema da festa é: bateção de panela

1 year ago 0 0 0 0

compensar não compensa. mas tem de ter trauma pra levar pra psicologa

1 year ago 1 0 1 0