Amazon kills the crowdsourcing platform that trained a generation of AI models, as the models it helped build replace the human workers.

🕵️‍♂️ Think your AI is 'Magic'? Think again. Behind every 'seamless' ChatGPT response and every AI-generated masterpiece lies a hidden human sacrifice and an environmental toll Silicon Valley doesn't want you to see. In this episode, we react to the shocking DW Documentary: The Dark Side of AI, stripping back the polished veneer of Big Tech to reveal the physicality of production that sustains the digital world. From the 430 million data workers in the Global South enduring psychological trauma as content moderators to the digital sweatshops of Kenya, we explore why your AI isn't actually 'smart'—it’s just extremely well-supervised by underpaid humans. We dive deep into the human cost of AI and the extractive reality of digital colonialism. In this episode, we discuss: - 💧 The Thirsty Algorithm: Why a single LLM query can consume a whole bottle of water. - ⛏️ Mineral Extraction: The brutal reality of mining rare earth minerals for AI hardware. - 🧠 The Longtermism Trap: How Silicon Valley elites use techno-futuristic ideologies to ignore present-day human rights abuses. - 📉 The Declining Trust in AI: Why 2026 is the year of the 'human-first' backlash. Is a single AI image worth a gallon of water and a human worker's mental health? We’re breaking down the AI environmental impact and the invisible labor that keeps the gears turning. This isn't just a tech review; it’s an urgent call to look behind the curtain. Are you ready to see the real cost of your prompts? 📢 JOIN THE CONVERSATION: If this episode opened your eyes, subscribe, leave a review, and share this with someone who thinks AI is just 'code in the cloud.' Let’s demand a more ethical and sustainable future together! 🚀  

AI 모델이 제대로 된 답을 내려면 질 좋은 데이터가 뒷받침되어야 합니다. 하지만 직접 라벨링 작업을 하다 보면 시간과 인력 비용이 걷잡을 수 없이 커지곤 하죠. 그래서 많은 기업이 Scale AI에 데이터 가공을 맡기지만, 막상 견적을 받아보고 비용 부담에 발걸음을 돌리는 경우도

Podcast Episode · Il Disinformatico · 13 April · 13min

A ranked comparison of 19 data labeling and annotation platforms for computer vision, NLP, and RLHF - with verified pricing, honest trade-offs, and a worker-treatment flag on Scale's Remotasks workforce.

A ranked comparison of 19 data labeling and annotation platforms for computer vision, NLP, and RLHF - with verified pricing, honest trade-offs, and a worker-treatment flag on Scale's Remotasks workforce.

As AI expands from pilot programs to full-scale production, it is becoming increasingly dependent upon accurate data labeling to produce consistent results. The article first discusses the importance ...

Data Annotation And Labelling Market is Expected to Grow a Valuation of $ 17.9B by 2035. Growing at a CAGR of 15.71% During the Forecast Period 2025 - 2035.

YouTube video by Habile Data