@Fenng: Those who shout about a surplus of delivery drivers turn around and accuse platforms of using algorithms to squeeze ride-hailing drivers, saying they won't let drivers earn too much and use algorithms to distribute orders to other drivers. If there is a surplus of delivery drivers, isn't there also a surplus of ride-hailing drivers? If orders are all given to a few drivers, are the rest supposed to live on air? Why at this point don't they say that there are too many ride-hailing drivers so everyone can't make money?
Summary
The article criticizes the double standard: people claim there is a surplus of delivery drivers while accusing platforms of using algorithms to exploit ride-hailing drivers, and questions why they don't admit that the oversupply of ride-hailing drivers is also causing everyone to be unable to make money.
View Cached Full Text
Cached at: 06/01/26, 05:10 AM
Those who shout about a surplus of delivery riders turn around and accuse the platforms of using algorithms to squeeze ride-hailing drivers, saying they don’t let drivers earn too much and use algorithms to distribute orders to other drivers. If delivery riders are in surplus, how could ride-hailing drivers not be? Should orders be given only to a few drivers while the rest get nothing? At times like this, why don’t they say there are too many ride-hailing drivers and nobody can make money?
Fenng (@Fenng): What the white-collar workers crunching numbers for delivery riders fail to understand is that being a rider is much easier and more comfortable than working in a factory. They only run orders for three or four hours a day, and the rest of the time they can scroll through short videos or read web novels. In other words, riders have a more flexible and more rational career choice than most office workers. You are not a rider, so how could you know a rider’s joy? Don’t feel sorry for them—feel sorry for yourselves.
Similar Articles
@KirkDBorne: Download 634-page PDF from MIT — ALGORITHMS FOR OPTIMIZATION — here: https://algorithmsbook.com/optimization/
MIT Press's 634-page book "Algorithms for Optimization" is available as a free CC-BY-NC-ND PDF, with the second edition (featuring Julia implementations and new chapters on DCP, surrogate models, and multidisciplinary optimization) releasing January 5, 2027.
Program
An essay tracing how 'programs' evolved from TV broadcasts to today's code-driven recommendation algorithms, arguing that widespread media literacy and programming education are lacking while platforms increasingly shape prices and perception.
Efficient algorithms, the Exponential Time Hypothesis, and losing the plot
A technical blog essay tracing the history of trying to rigorously define algorithmic efficiency, from Jack Edmonds' 1965 blossom algorithm and his notion of a 'good' algorithm to the Exponential Time Hypothesis, arguing complexity theory lost sight of the original practical problems.
Binance lost ~$6.3B overnight. Musk says AI agents will eventually do this. AI labs are already paying security people $100+/hr to stress-test their models
Binance disclosed a ~$6.3B security breach—the largest crypto exchange hack on record—prompting Elon Musk to warn that superintelligent AI agents could one day steal currency for themselves. The post highlights that AI labs are already hiring security contractors for red teaming and model evals at $100–$250/hr.
@trq212: very weird thing happening rn technical people are sad, they think their skills are now useless non-technical people ar…
A tweet observing a paradoxical shift during the AI agent era: technical people feel their skills are becoming obsolete, while non-technical people increasingly wish they were more technical to better leverage AI agents.