Joanna Partridge writes that food delivery riders are demanding transparency from platforms like Deliveroo, Uber Eats, and Just Eat regarding the algorithms used to determine wages and job allocation. Workers claim that increased automation and "dynamic pricing" have significantly lowered their earnings even when workloads remain consistent. The group is seeking help from academics via the Workers' Observatory to research these opaque systems and challenge deteriorating working conditions in the gig economy.
- Some riders report pay per order has dropped steadily between 2023 and 2026 despite constant delivery volumes.
- A landmark class action lawsuit against Uber in Amsterdam alleges that algorithms violate data protection laws by manipulating earnings based on driver behavior.
- Deliveroo uses a machine-learning system named "Frank" to predict order timings and allocate deliveries.
- Riders have reported issues with automated facial recognition technology preventing them from logging on due to injuries or poor lighting.
- Some riders report pay per order has dropped steadily between 2023 and 2026 despite constant delivery volumes.
- A landmark class action lawsuit against Uber in Amsterdam alleges that algorithms violate data protection laws by manipulating earnings based on driver behavior.
- Deliveroo uses a machine-learning system named "Frank" to predict order timings and allocate deliveries.
- Riders have reported issues with automated facial recognition technology preventing them from logging on due to injuries or poor lighting.
This article showcases 15 real-world examples of companies using Large Language Models (LLMs) in various industries, such as Netflix, Picnic, Uber, GitLab, LinkedIn, Swiggy, Careem, Slack, Picnic, Foodpanda, Etsy, LinkedIn, Discord, Pinterest, and Expedia.
An article discussing the challenges faced with flaky tests in Uber's CI pipelines, and the development and implementation of Testopedia, a scalable and configurable system to manage and categorize tests, reduce test complexity, and improve visibility and accountability.
