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Indian housewives are contributing to the training of humanoid robots by performing household chores, providing valuable data for AI learning.
A discussion on how to crawl an entire website to train a RAG chatbot, covering strategies and challenges.
An opinion piece arguing that mandatory age verification laws, such as Australia's social media ban for under-16s, threaten privacy by forcing users to hand over sensitive data like IDs to third parties, while the law itself is shown to be ineffective.
This tweet highlights how Pim de Witte accidentally built a world model data collection business by assembling the largest dataset of trainable (video, action) pairs, and announces a $320M Series A at a $2.3B valuation.
Google is rolling out a new Search Services History setting that saves users' uploaded media for AI training, enabled by default. This article explains how to opt out and highlights privacy concerns.
MediaCrawler is a multi-platform social media data scraping tool that supports public content crawling from Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu. It bypasses JS reverse engineering by leveraging browser login state, lowering the technical barrier.
Meta employees are petitioning against the Model Capability Initiative (MCI), which collects computer-use data like keystrokes, mouse movements, and screen content for AI training, raising serious privacy and regulatory concerns.
MediaCrawler is an open-source multi-platform self-media data collection tool that supports scraping public information from Xiaohongshu, Douyin, Weibo, Bilibili, Kuaishou and other platforms. No JS reverse engineering required, based on Playwright browser automation.
A reflective essay on the pitfalls of self-quantification, arguing that while metrics can reveal useful information, they often obscure or corrupt deeper self-knowledge.
After Senate opposition, the Trump administration reversed its decision to dismantle the Ocean Observatories Initiative, a $350 million ocean monitoring network used for climate tracking, weather forecasting, and fisheries management.
XDOF, a startup emerging from stealth, has raised $70M to build data pipelines and tools for robot training, addressing the bottleneck of physical interaction data. The company is releasing ABC, a large dataset of robot manipulation trajectories, to accelerate robotics AI.
An analysis of X's platform architecture reveals how Grok AI integrates with X Premium, behavioral data, and targeted advertising, suggesting users serve as both product and training data source.
A user describes how Google's AI overview can analyze Instagram profiles and find all interactions, raising privacy concerns about permanent online footprints.
A 25-year-old housewife in Chennai earns ₹250/hour filming her daily housework for AI companies training humanoid robots, as part of a growing gig economy where thousands in India record everyday tasks to train future robots.
HyVLA-0.5 is an end-to-end robotic learning system that integrates data collection, model design, pre-training, fine-tuning, and reinforcement learning for real-world deployment.
Google is introducing a new Search Services History setting that saves images, audio, and video from Lens, Search Live, and Translate to improve its AI models and personalization, with an option to opt out.
This article explains how AI agents in 2026 collect data from websites and APIs, and discusses key challenges like rate limits, CAPTCHAs, and IP blocking.
This article explains why proxies are essential for AI agents to avoid rate limits, CAPTCHAs, and geo-restrictions when collecting data at scale, and covers common use cases and types of proxies.
The article discusses how AI coding assistants make large-scale web scraping accessible to ordinary people, raising ethical concerns about ignoring robots.txt and rate limits, and questions the responsibility of AI providers.
A commentary on the ethical challenges of AI agents ignoring website rules like robots.txt when generating scrapers, and the responsibility of AI providers to implement guardrails without hindering product usability.