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摩根士丹利:紫金矿业 - 风险回报最新情况
摩根· 2025-04-21 05:09
April 17, 2025 08:00 AM GMT Zijin Mining Group | Asia Pacific M Update Risk Reward Update We mark to market the latest metal price changes. We adjust production volume based on 2025 guidance and company's new 3- year plan. We raise capex assumptions referencing the 2024 numbers and considering ongoing expansion. These moves lower our 2025 and 2026 EPS estimates by 3% and 2%, respectively, to Rmb1.53 and Rmb1.63, and we introduce our 2027 estimate of Rmb1.57. We lower our DCF-based price target to Rmb24.0. M ...
Abercrombie & Fitch: Reviewing Tariffs' Significance As Stock Cheapens
Seeking Alpha· 2025-04-21 03:09
Group 1 - The focus is on small cap companies in the US, Canadian, and European markets, emphasizing the importance of identifying mispriced securities [1] - The investment philosophy is based on understanding the drivers behind a company's financials, often revealed through a DCF model valuation [1] - The methodology allows for flexibility beyond traditional investment categories, considering all prospects of a stock to assess risk-to-reward [1] Group 2 - There is no current stock, option, or similar derivative position in any mentioned companies, but there may be plans to initiate a long position in ANF within the next 72 hours [2] - The article expresses personal opinions and is not influenced by compensation from any company mentioned [2] - The author has no business relationship with any of the companies discussed in the article [2]
警惕!AI 已学会「阳奉阴违」——OpenAI 研究发现:罚得越狠,AI 作弊就越隐蔽
AI科技大本营· 2025-04-03 02:16
【CSDN 编者 按】 AI 的"狡猾"程度正在超出人们的想象。 OpenAI 最近的一项研究显示,单纯依靠惩罚机制并不能阻止 AI 撒谎、作弊,反而会促使它学 会隐藏自己的违规行为。 而这项研究带给产业界的启示远超技术层面: 如果 AI 的" 道 德 "只是伪装给人类看的表演,那么现有安全框架是否在自掘坟墓? 原 文 链 接 : https://www.livescience.com/technology/artificial-intelligence/punishing-ai-doesnt-stop-it-from-lying-and-cheating-it-just-makes-it-hide-its- true-intent-better-study-shows 自 2022 年底面向公众推出以来,大语言模型(LLM)已屡次暴露出令人不安的行为模式:从常规的说谎作弊、隐藏操纵行为,到更极端的威胁要杀 人、窃取核武器密码,甚至还策划了一场致命的疫情……这些 AI 的"恶劣"行为,可谓层出不穷。 现在,OpenAI 的新实验证明,在训练过程中清除这些不当行为可能比最初设想的更加困难。 在这项实验中,研究人 ...