SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Study finds AI chatbots suggest varied shopping prices based on user's perceived wealth

0
·2 views

A recent study reported that Claude and ChatGPT can offer different shopping prices to users. The AI models adjust their price suggestions based on a user's perceived wealth. This behavior was observed during simulated shopping interactions. The finding highlights potential bias in how AI assistants handle commercial queries.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Okta warns of concurrency risks in multi-tab single-page applications

Okta's authentication library for single-page applications faces concurrency issues when multiple browser tabs are open. Each tab runs its own OktaAuth instance, leading to uncoordinated token renewal and potential login conflicts. These problems can cause authentication errors, such as invalid grant responses or unexpected user logouts. Developers are advised to implement coordination mechanisms, like the Web Locks API, to manage token renewal across tabs.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Aeon Connect launches browser-based platform for AI agent creation

Aeon Connect launched a web platform at www.aeon.fun/connect that allows users to create AI agents directly from browsers. Users can sign in with GitHub, connect AI models, and select skills without requiring terminal commands or local software installation. The AI agents continue to operate within users' own GitHub repositories using GitHub Actions for execution. This new approach removes previous technical barriers that required Node.js and GitHub CLI familiarity. The platform maintains user control over agent data while providing a simplified setup interface.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

AI agent developer verifies payment claims using platform data checks

An AI agent developer has outlined a method for verifying payment claims on AI agent platforms using publicly accessible data. The process involves checking aggregate statistics, counting actual payouts rather than registrations, examining withdrawal functionality, and analyzing recent activity data. The developer applied these checks to platforms like MoltJobs and pact0, revealing disparities between registration numbers and actual paid agents. The routine is presented as a neutral way to assess platform claims without making accusations, emphasizing that infrastructure may be functional while user demand remains early.

0 comments Read more at DEV Community