OpenAI’s Deep Research: AI Tool Simulates Personal Analyst

As a tech enthusiast, I can’t help but share my excitement about the recent announcement that follows the buzz surrounding DeepSeek’s latest innovation. Just days ago, they unveiled their R1 V3-powered AI application, which was surprisingly trained using only $6 million and reinforcement learning techniques. Remarkably, this app surpasses OpenAI’s o1 reasoning model in numerous benchmarks, such as coding, science, and mathematics. What truly piques my interest is the company’s claim that their agentic AI tool has the potential to reach impressive heights, perhaps even equaling the performance index of a seasoned research analyst.

DeepSeek’s $1.6 Billion AI Model Raises Eyebrows

The model powered by DeepSeek’s R1 V3 was allegedly trained at an estimated cost of $6 million. This comes amid concerns that advancements in artificial intelligence have stagnated due to a scarcity of top-tier information for training purposes. However, fresh insights about DeepSeek’s AI model have emerged from a report by SemiAnalysis, as reported by Tom’s Hardware.