AINewsnow

Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.33103v1 Announce Type: new Abstract: Prospect theory splits risky choice into three parts: loss aversion, measured by the relative weight of losses to gains, $\lambda$ (e.g., $\lambda = 2$ implies that losses weigh twice as much as gains), diminishing sensitivity to the size of outcomes…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-27 04:00 · arXiv cs.AI
    Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting

More stories

  1. Muse Is Now Available in Singapore: The World’s First Personal AI Agent Built for Everyone — Meta Newsroom
  2. Meta announces $95B offering to fund AI — Semafor Technology
  3. Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks — Engineering at Meta
  4. AMD says it will invest $1B in Meta's equity offering, its first Helios rackscale systems are installed at Meta, and its EPYC CPUs power Meta's Muse AI agent — Techmeme
  5. How PyTorch Became the Socket Every AI Chip Plugs Into — DEV Community — Machine Learning
  6. I tested LFM2.5-24B-A2B vs Qwen3.6-35B-A3B on 75 fresh multi-step tool tasks. Qwen solved 91%, LFM2.5 49%, and LFM2.5 said "done" on most of its failures — r/LocalLLM
  7. Anthropic, Meta and the K-shaped company — Financial Times AI
  8. Don’t use Muse? Meta’s AI agent can still access your private messages – here’s how — ZDNET AI

Get the daily brief of stories like this at 6:30 every morning →