These may be the last days of Amazon’s Mechanical Turk.
Turkopticon: interrupting worker invisibility in amazon mechanical turk
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Amazon Mechanical Turk
Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and businesses to outsource their processes and jobs to a distributed workforce who can perform these tasks virtually. This could include anything from conducting simple data validation and research to more subjective tasks like survey participation, content moderation, and more. MTurk enables companies to harness the collective intelligence, skills, and insights from a global workforce to streamline business processes, augment data collection and analysis, and accelerate machine learning development.
Using the Amazon Mechanical Turk Workforce - Amazon SageMaker AI
Use SageMaker AI to build, train, and host machine learning models in AWS.
Google Cabs And Uber Bots Will Challenge Jobs 'Below The API'
Working "below the API" is a dead end. Uber drivers, Amazon Mechanical Turk workers, 99design contestants, TaskRabbit taskers and HomeJoy cleaners are all targets for further automation.
Amazon seeks cheaper AI alternatives as Anthropic shifts to token-based pricing
Amazon is exploring OpenAI as an alternative to Claude after a renegotiated contract with Anthropic will raise costs through token-based pricing.
AI is becoming a shopping channel: report
And 34% of shoppers now use the tech
Future - The AI Tipping Point
Learn more about the latest advancements in the field of artificial intelligence over the last six months, from new innovative AI tools and services to how these are shaping consumers' online behavior.
Lauren Wilford on Twitter / X
I work at a restaurant that does events and we received some challenging last-minute requests from a client. We scrambled to fill them. I realized later that these requests were likely made by an AI agent, and that the human client might not have personally cared. This felt bad! https://t.co/AJWlxDGIA5— Lauren Wilford (@lauren_wilford) September 23, 2026
Chatbots in consumer finance | Consumer Financial Protection Bureau
Many financial institutions are using advanced technologies to deploy customer service chatbots. Poorly designed chatbots can lead to customer frustration, reduced trust, and even violations under the law.
Anthropic users face a new choice – opt out or share your chats for AI training | TechCrunch
Anthropic is making some major changes to how it handles user data. Users have until September 28 to take action.
Analysis | Google’s AI pointed him to a customer service number. It was a scam.
There’s a new AI twist on a travel scam that has fooled people for years. Here’s what you need to know.
Anthropic Wants You to Pay Up for Claude Fable 5
Claude subscribers must soon pay usage-based fees to access Anthropic’s best consumer AI model—a sign that the golden era of AI subscriptions is ending.
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
Large language models (LLMs) are remarkable data annotators. They can be used to generate high-fidelity supervised training data, as well as survey and experimental data. With the widespread adoption of LLMs, human gold--standard annotations are key to understanding the capabilities of LLMs and the validity of their results. However, crowdsourcing, an important, inexpensive way to obtain human annotations, may itself be impacted by LLMs, as crowd workers have financial incentives to use LLMs to increase their productivity and income. To investigate this concern, we conducted a case study on the prevalence of LLM usage by crowd workers. We reran an abstract summarization task from the literature on Amazon Mechanical Turk and, through a combination of keystroke detection and synthetic text classification, estimate that 33-46% of crowd workers used LLMs when completing the task. Although generalization to other, less LLM-friendly tasks is unclear, our results call for platforms, researchers, and crowd workers to find new ways to ensure that human data remain human, perhaps using the methodology proposed here as a stepping stone. Code/data: https://github.com/epfl-dlab/GPTurk
Divine Discontent: Disruption’s Antidote
Apple has long defeated disruption by focusing on the user experience; Jeff Bezos and Amazon, though, show that user expectations for their experience are ever-changing.
staysaasy on Twitter / X
The problem with all of these AI personal assistant things is that people don’t actually want to do stuff. You fucking get that right? Do you understand that?Just like AI tools in the workforce, AI assistants don’t actually abstract decisions for you, they let you accelerate…— staysaasy (@staysaasy) September 20, 2026
The making of Amazon Prime, the internet’s most successful and devastating membership program
An oral history of the subscription service that changed online shopping forever.
