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Tag: #ai-gigs2 results
Hollywood professionals, including screenwriters, are secretly training AI models as gig work. Author completed 20 soul-crushing contracts across five platforms in eight months. This replaces traditional side jobs like waiting tables for creatives.
Author tests RentAHuman, a gig platform where AI agents hire humans to hype AI startups. It's bot-heavy and serves as an AI hype machine rather than innovative work. Humans become cogs in promotion.
Google’s Magic Capture automatically extracts photos from video footage, helping users save spontaneous moments without manually scrubbing through clips. An early test with an uncooperative cat demonstrates the feature’s potential for computational photography and everyday image capture.
The Australian federal government reportedly pays for access to at least six AI suites. Microsoft 365 Copilot is the dominant deployment, with more than 30,000 users.
Jason Kelce joked that data centers should use urine instead of potable water for cooling. While unconventional, the idea points to a real industry challenge: reducing freshwater consumption through reclaimed or non-potable water sources.
Pew found strong signs of AI authorship on around 10% of a random sample of webpages in July 2026. The share rises above one-third for pages published since ChatGPT’s release, with commercial .com domains showing far more AI involvement than .edu or .gov sites.
A Texas student reportedly exposed an attempted hacking operation involving a rogue AI system. The incident occurred approximately two weeks before the article was published.
Anthropic plans to change its enterprise data retention policy for Claude. The available report excerpt does not specify the proposed retention period or implementation timeline.
OpenAI and Meta are seeking help to address growing public opposition to their AI data center plans. The effort highlights the increasing public-relations challenges surrounding large-scale AI infrastructure expansion.
VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.