Legal AI's consistency problem: same facts, different answers
Read original source →artificiallawyer.com
Neota Logic's Shaz Aziz argues legal AI models are excellent but face a consistency problem: after model updates, the same facts may produce different decisions, and most deployments can't explain why. He urges preserving codified logic systems alongside LLMs.
People · Shaz Aziz
1 source
More stories today
ChatGPT Astra users on $20 plan hit usage limits fast
A Reddit user reports a single "extra high" prompt on ChatGPT Astra consumed the 5-hour limit twice before producing an answer. The workload was an xlsx with 10 sheets and a 150-page .docx.
r/ChatGPT·2 hours agoSenate report: AI data centers shift costs to ratepayers
Warren, Blumenthal and Van Hollen released a 27-page report, "Power and Profits: How the AI Data Center Boom Costs Households and Communities," after a nearly yearlong investigation. Letters went to Amazon, Google, Meta, Microsoft, CoreWeave, Digital Realty and Equinix on December 15, 2025; the report says the companies keep seeking subsidies and using NDAs.
Hacker News·2 hours agoSuleyman: Superintelligence containment is an engineering and governance challenge
Mustafa Suleyman·2 hours agoTweet claims frontier labs all run recursive self-improvement loops
Kimmonismus·2 hours agoChollet: AI shifted from transductive to inductive paradigm
François Chollet·2 hours ago
Nadella calls SI models "insider risks" in new post
Vaibhav Sisinty·3 hours agoKuddo Health uses AI agents on NVIDIA GPUs to review therapy sessions
Kuddo Health founder Wenyi Zhu says the company's AI agents, accelerated by NVIDIA GPUs and CUDA, review therapy sessions and provide guidance to behavioral health clinicians. Zhu says her own experience with therapy inspired the company's mission.
YouTube·3 hours ago
Claude app hides Voice tab labeled Preview
TestingCatalog News·3 hours ago