# It’s Still Not Intelligent, but It Is Artificial: The Progress of AI and OpenAI’s Updated Strategy
Artificial Intelligence (AI) has remained a popular term for several years, frequently conjuring images of advanced, human-like machines capable of addressing intricate challenges and engaging in significant dialogue. Yet, despite the swift progress in AI technology, one fact persists: AI still does not possess true intelligence as humans do. It is indeed artificial but lacks the profound comprehension, reasoning, and emotional intelligence typically associated with human thought.
Recently, OpenAI, a frontrunner in the AI domain, has taken a pause to tackle some limitations of its AI models. The organization has rolled out the **OpenAI o1-preview models**, aimed at solving “hard problems” in fields like science, programming, and mathematics. While this initiative is encouraging, it also emphasizes the existing constraints of AI and the continuous endeavors to enhance its efficacy.
## Taking a Step Back for Precision
One of the most unexpected elements of OpenAI’s revised strategy is the choice to **decelerate the process of generating responses**. In an era where instant gratification dominates, this may appear counterproductive. Nevertheless, the reasoning behind this decision is straightforward: by allowing the AI more time to “consider,” OpenAI aspires to elevate the accuracy and dependability of its outputs.
These new models can be accessed via the widely-used **ChatGPT service** and OpenAI’s API, and they remain under development. Nonetheless, the preliminary outcomes are promising. For example, OpenAI revealed that its prior **GPT-4 model** managed to answer a mere 13% of the questions correctly on the **International Mathematics Olympiad** exam. In comparison, the new o1-preview model achieved a remarkable 83% accuracy. This substantial enhancement highlights the potential of the refreshed approach.
## The Challenge of AI “Hallucinations”
A major obstacle confronting AI today is the occurrence of **”hallucinations”**—a term that refers to occasions when AI produces inaccurate or absurd responses. Although these mistakes may occasionally be humorous, they can also pose significant issues, particularly when the AI is utilized for crucial tasks like programming or scientific inquiry.
As the article illustrates, AI is fundamentally just **sophisticated computer software**. It processes input and generates output based on the algorithms and data it has been taught. However, when the output simulates human-like actions, it can create an illusion of intelligence. This poses risks: individuals may mistakenly believe that AI possesses greater capabilities than it truly does, leading to misplaced confidence in its functionalities.
OpenAI’s choice to slow the response time aims to address these challenges. By granting the AI additional time to process information, the expectation is that it will yield fewer hallucinations and more precise answers. This is especially critical in areas like mathematics, where accuracy is essential.
## A Glimpse Behind the Scenes: How AI “Reasoning” Works
One of the most fascinating features of OpenAI’s new models is the transparency regarding their operation. In a recent article about the **reasoning abilities** of the new model, OpenAI shared insights into the **”Chain-of-Thought”** method that the AI employs to reach its conclusions. Such transparency is uncommon in the tech sector, where proprietary algorithms are often kept under wraps.
Additionally, the new models encompass **safety protocols** intended to prevent the AI from producing harmful or dangerous content. For example, the o1-preview model includes measures to ensure it refrains from providing guidance on creating toxic substances like homemade arsenic—a vulnerability evident in earlier iterations of GPT-4. These safety features represent a crucial advancement toward fostering reliable and trustworthy AI.
## The Industry’s Call for Enhancement
The launch of the o1-preview models coincides with a period of heightened scrutiny for the AI industry. As AI becomes more woven into daily life, from virtual helpers to automated customer support, the demand for accuracy and reliability has never been more pressing. **Derrek Lee**, managing editor at Android Central, aptly observed that OpenAI’s readiness to slow down the pace for the sake of accuracy signifies a dedication to quality over swiftness.
While this is an encouraging development, it’s crucial to acknowledge that improvements will not occur instantaneously. AI remains a considerable distance from perfection, and there will likely be numerous iterations before we witness models that consistently offer precise and dependable results. Nonetheless, OpenAI’s new strategy marks progress in the right direction, establishing a benchmark for other companies within the AI industry to emulate.
## The Outlook for AI: An Ongoing Journey
AI is not vanishing anytime soon. In fact, it is expected to become even more ubiquitous as organizations persist in investing in its advancement. However, as the article emphasizes, AI is still quite a way from attaining true intelligence. It serves as a tool—
