According to OpenAI, the updated chain of thought in o3-mini for both free and paid users, and o3-mini-high for paid users, may have implications for AI-driven trading algorithms that rely on these models for decision-making. This could affect the efficiency and accuracy of trading bots using OpenAI's technology.

According to Jeff Dean, Gemini 2.0 Pro model demonstrates advanced coding abilities, efficiently handling data structures and search algorithms to identify valid words in Boggle. This showcases potential in algorithm-driven tasks, highlighting opportunities for AI in automated trading systems where algorithmic efficiency is crucial. Source: Jeff Dean.

According to @timnitGebru, traditional algorithms focus on maximizing efficiency by using minimal resources, which is crucial for trading algorithms to execute rapid transactions with limited computational power. In contrast, AI models, like those developed by OpenAI, assume access to vast resources, potentially offering advanced predictive capabilities for market trends, but may pose challenges in real-time trading environments where latency and resource efficiency are critical (source: Twitter).