OpenAI Unveils Advanced O1 AI Models with Enhanced Capabilities

ChatGPT o1-preview and ChatGPT o1-mini external red teaming and frontier risk evaluations

Today OpenAI has taken another major step in the development and deployment of advanced AI models by releasing ChatGPT o1-preview and ChatGPT o1-mini. These models have undergone extensive safety evaluations and risk assessments, focusing on their advanced reasoning capabilities and potential frontier risks. OpenAI has implemented robust red-teaming efforts, external evaluations, and internal safeguards to ensure that these models are safe to deploy in real-world applications. Lets take a closer look at OpenAI's external red teaming, frontier risk evaluations, and the safeguards put in place to manage the potential risks associated with the o1 model series. Quick Links: As AI models become more advanced, the complexity of potential risks associated with their deployment increases. OpenAI's o1-preview and o1-mini models are trained with large-scale reinforcement learning, enabling them to reason through problems in a way that resembles human thought processes. While this advanced reasoning capability enhances their performance, it also introduces new risks, particularly when dealing with potentially harmful or unsafe prompts. Without rigorous safety evaluations, models could be vulnerable to misuse, such as generating disallowed content, engaging in harmful stereotypes, or succumbing to jailbreak attempts. Therefore, OpenAI's commitment to external red teaming and frontier risk evaluations is essential to ensure that these models are not only effective but also safe for widespread use. External red teaming is a process where independent experts test the AI models to identify weaknesses, vulnerabilities, and potential safety issues that may not be immediately apparent during internal testing. In the case of o1-preview and o1-mini, OpenAI worked with external red teams to stress-test the models' capabilities across a wide range of scenarios, particularly those that could lead to harmful or unsafe behavior. The external red teams evaluated several risk categories, including: The results of these evaluations showed that o1-preview and o1-mini performed better than previous models, particularly in their ability to reason through safety rules and avoid generating unsafe or disallowed content. This improvement can be attributed to their advanced reasoning capabilities, which enable the models to think critically about the context of their responses before generating an output. Frontier risks refer to potential risks posed by cutting-edge technologies that push the boundaries of what AI is capable of. For the ChatGPT o1-preview and ChatGPT o1-mini models, these risks include capabilities that could be exploited in ways beyond existing AI systems, particularly as they relate to intelligence amplification, persuasion, and autonomous decision-making. OpenAI conducted frontier risk evaluations to assess how the o1 series performs in relation to potential high-stakes scenarios, such as: The evaluations found that while o1-preview and o1-mini's advanced reasoning capabilities offer substantial benefits, they also introduce new challenges. The ability of the models to reason deeply through prompts can, in some cases, increase the risk of unintended outputs in certain high-risk areas. However, OpenAI's implementation of extensive safety protocols has mitigated these risks to an acceptable level, with the models receiving a "medium" risk rating overall and a "low" risk rating for cybersecurity and model autonomy. The Preparedness Framework is OpenAI's comprehensive approach to evaluating and mitigating risks associated with advanced AI models. This framework includes both internal and external evaluations, along with frontier risk assessments that gauge the safety and alignment of new models. For the o1 series, OpenAI's Safety Advisory Group, Safety & Security Committee, and the OpenAI Board reviewed the models' risk profiles and the safety measures that were implemented. The Preparedness Framework rated the ChatGPT o1-preview and ChatGPT o1-mini models as "medium" risk overall, noting that these models do not introduce capabilities beyond what is possible with existing AI systems, though they present some increased risks in specific areas, such as CBRN and Persuasion. OpenAI has put several key safeguards in place to mitigate the risks associated with the o1-preview and o1-mini models. These safeguards include: In addition to these technical safeguards, OpenAI also conducted thorough red-teaming exercises, external audits, and safety assessments before deploying the models in ChatGPT and the API. The results from these evaluations were published in the OpenAI o1 System Card, providing transparency into the safety work carried out. The release of ChatGPT o1-preview and ChatGPT o1-mini represents a significant advancement in AI reasoning, but it also highlights the importance of continued safety and alignment efforts. By thoroughly evaluating potential risks, implementing robust safeguards, and using external red-teaming to stress-test the models, OpenAI has set a new standard for responsible AI deployment. For more information read the Official OpenAI System Card Report.

ChatGPT o1-preview and ChatGPT o1-mini capabilities demonstrated

If you are interested in learning more about what the new ChatGPT o1-preview and ChatGPT o1-mini large language models are capable of. OpenAI has put together a number of examples to show off its prowess in mathematics, reasoning and more. Check at the videos below to learn more about their capabilities. These latest large language models (LLMs) from OpenAI have been developed with a focus on solving complex problems in science, technology, engineering, and mathematics (STEM), leveraging advanced reasoning techniques. The ChatGPT o1-preview delivers top-tier performance across challenging benchmarks, while the ChatGPT o1-mini offers a cost-efficient alternative without compromising much in terms of reasoning power. Both models are tailored to specific domains, particularly STEM tasks, and come equipped with enhanced safety mechanisms, making them highly suitable for real-world applications. Quick Links: ChatGPT o1-preview is the first in the new o1 series of models designed with enhanced reasoning capabilities. This model stands out due to its ability to perform well on a wide range of complex reasoning tasks, particularly in the STEM domains. OpenAI's goal with the o1-preview was to develop a model that could reason through problems more thoroughly before responding, thus improving accuracy and depth in its outputs. The o1-preview model has been tested across various benchmarks, including the American Invitational Mathematics Examination (AIME), where it outperformed previous models like GPT-4o. On tasks requiring complex problem-solving skills, such as high-level physics, biology, and chemistry exams, o1-preview achieved PhD-level accuracy, demonstrating its strength in reasoning-based tasks. The o1-mini model is a more cost-efficient alternative to o1-preview. Despite its smaller size, o1-mini offers impressive performance in STEM-related tasks, making it an attractive option for those who require reasoning power but are working within budgetary constraints. o1-mini is priced 80% lower than o1-preview, making advanced AI more accessible to a broader audience, including educational institutions, small businesses, and individual developers. What sets o1-mini apart is its optimized design for reasoning tasks while maintaining efficiency in computation. It excels in coding challenges, math competitions, and science-related problems but has limitations in non-STEM domains, where it lacks the broad world knowledge that larger models like o1-preview can provide. Both ChatGPT o1-preview and ChatGPT o1-mini are designed to use chain-of-thought reasoning, a key feature that enhances their ability to solve complex tasks. This approach allows the models to break down problems into smaller, more manageable steps, reasoning through each step before generating a response. This advanced reasoning makes the models highly effective in domains requiring critical thinking, such as solving intricate math problems, generating complex code, or tackling scientific research questions. The chain-of-thought mechanism also improves the models' ability to avoid errors and self-correct during the problem-solving process. For example, during testing, o1-preview and o1-mini both performed remarkably well on AIME, with o1-preview scoring 74.4% and o1-mini close behind at 70.0%. These results place the models among the top-performing students in the US, highlighting their potential for academic applications. OpenAI has made significant advancements in the safety and alignment of its ChatGPT o1 series models. Both o1-preview and o1-mini were extensively tested for potential safety risks, including the generation of disallowed content, demographic fairness, and susceptibility to jailbreak attempts. One of the key safety features of these models is their ability to reason about safety rules in context. The chain-of-thought approach not only enhances problem-solving abilities but also improves the models' resilience to harmful prompts. By reasoning through the context of a prompt, the models can avoid generating unsafe or biased content. OpenAI conducted external red-teaming, where independent experts tested the models for vulnerabilities. This process revealed that both o1-preview and o1-mini are more robust against jailbreak attempts than previous models, with ChatGPT o1-mini showing a 59% improvement over GPT-4o in terms of jailbreak resistance. The primary strength of both o1-preview and o1-mini lies in their ability to excel in STEM-related fields. The models were rigorously tested on competitive benchmarks such as the AIME and Codeforces coding competitions. In these evaluations, both models performed at or near the top of their class, demonstrating a strong understanding of math and coding tasks. On the Codeforces platform, o1-mini achieved an Elo rating of 1650, placing it in the 86th percentile of programmers. ChatGPT o1-preview performed slightly better with an Elo rating of 1673. These scores indicate that both models are highly capable in coding and algorithmic problem-solving, making them valuable tools for developers and engineers. In science, the models were tested on benchmarks like the GPQA (General Physics, Chemistry, and Biology Question-Answering) exam, where they outperformed older models like GPT-4o. This makes o1-preview and o1-mini particularly useful for research environments and academic institutions focusing on STEM disciplines. In addition to their reasoning capabilities, both models offer improved speed and efficiency. One of the major advantages of o1-mini is its faster response times compared to o1-preview, making it an ideal option for users who prioritize speed without sacrificing too much in terms of accuracy. On reasoning tasks, ChatGPT o1-mini was found to be 3-5 times faster than ChatGPT o1-preview, while still achieving comparable results in STEM domains. The lower cost of ChatGPT o1-mini, combined with its speed, makes it an attractive alternative for developers and organizations looking for high-quality reasoning without the need for broader world knowledge or general-purpose AI capabilities. The combination of advanced reasoning, cost-efficiency, and safety features in the OpenAI o1 series marks a new milestone in AI development. With applications spanning from academic research to professional coding and beyond, the o1-preview and o1-mini models demonstrate the potential for AI to solve complex problems in more affordable and accessible ways. To learn more about the latest large language models to be released by OpenAIjump over to the official website.

New ChatGPT o1-preview reinforcement learning process explained

OpenAI has introduced its latest AI model, ChatGPT o1, a large language model (LLM) that significantly advances the field of AI reasoning. Leveraging reinforcement learning (RL), o1 represents a leap forward in how AI can approach complex problem-solving tasks. Unlike previous models that prioritize quick responses, o1 is designed to "think" before answering, employing a chain of thought to enhance its reasoning process. This capability allows o1 to outperform earlier versions like GPT-4o across a range of challenging tasks in coding, science, and mathematics, making it particularly suited for domains that require deep analytical capabilities. Quick Links: The ChatGPT-o1 model introduces a fundamentally different approach to AI reasoning by incorporating extended "thinking" time before responding. Unlike models designed to generate rapid outputs, o1 employs a chain-of-thought process, which mirrors how humans approach difficult problems. Instead of providing an immediate answer, o1 takes time to explore different strategies and refine its approach before delivering a solution. This deliberate approach enhances its capacity for complex problem-solving, enabling o1 to excel in areas that demand more than surface-level understanding. Whether tackling advanced math problems or generating intricate code, o1's ability to break down tasks into simpler steps and recognize when it needs to try a new approach gives it an edge over previous models. Reinforcement learning is central to ChatGPT-o1's training. Unlike traditional supervised learning where the model learns from labeled datasets, reinforcement learning allows o1 to improve through trial and error. It is trained to evaluate its own responses, correct mistakes, and refine its strategies. The RL approach used for o1 is particularly data-efficient, meaning that it doesn't need vast amounts of training data to learn effectively. This makes the model more adaptable and capable of improving its performance over time. In fact, OpenAI found that o1's reasoning capabilities improved the more "train-time compute" (processing power during training) and "test-time compute" (processing power while performing tasks) it used. This scaling capability allows the model to continue improving even after deployment, as additional training and reasoning time can lead to better performance. This characteristic makes o1 one of the most advanced LLMs in handling reasoning-intensive tasks. OpenAI o1 has demonstrated exceptional performance across a range of benchmarks and real-world tests. In competitive programming, ChatGPT-o1 ranked in the 89th percentile in Codeforces challenges, and in mathematics, it placed among the top 500 students in the USA Math Olympiad. This performance is particularly notable given that GPT-4o only managed to solve 12% of problems on average in the same exam, whereas o1 solved 74% with a single sample per problem and 93% when using advanced sampling techniques. In science, o1 was tested on GPQA, a benchmark that evaluates expertise in chemistry, biology, and physics. o1 exceeded the performance of human PhD experts on this benchmark, making it the first AI model to surpass human-level performance on this test. With its ability to analyze problems in-depth and refine its responses, o1 also outperformed GPT-4o on 54 out of 57 MMLU subcategories, further cementing its reputation as a superior reasoning model. The potential applications of ChatGPT-o1 are vast and span multiple industries. Here are some key areas where o1 is expected to make a significant impact: One of the key advancements in OpenAI o1 is its improved safety and alignment capabilities. By integrating the chain-of-thought reasoning process into its behavior, o1 is better equipped to adhere to human values and safety guidelines. The model not only learns how to reason through tasks but also applies this reasoning to follow safety rules in context. During internal safety evaluations, o1 performed exceptionally well in "jailbreaking" tests, where users attempt to bypass safety protocols. In one of the most difficult tests, o1 significantly outperformed GPT-4o, scoring much higher in maintaining safety compliance. OpenAI's preparedness framework, which includes rigorous testing and evaluations, ensures that o1 is ready for deployment in high-stakes environments. The ability to monitor and understand ChatGPT-o1's chain of thought also provides new opportunities for improving model alignment. This transparency in reasoning can help prevent unintended behavior and ensure that the model adheres to ethical guidelines. OpenAI plans to continue iterating on o1, with future versions expected to introduce even more advanced capabilities. One area of focus is expanding ChatGPT-o1's features to make it more useful in a broader range of applications. Currently, the model lacks some features that are integral to other AI systems, such as browsing the web or uploading files. However, these functionalities are expected to be integrated in future updates, making o1 even more versatile. Additionally, OpenAI is working on increasing o1's messaging limits and further optimizing its performance in areas like natural language processing. The ultimate goal is to create a model that can seamlessly switch between reasoning-heavy tasks and more general AI functions, all while maintaining the high level of safety and alignment that o1 currently offers. As o1 continues to evolve, it promises to unlock new use cases in science, coding, data analysis, and more. Its chain-of-thought approach, combined with reinforcement learning, positions it as a key player in the future of AI, helping both developers and researchers tackle the most challenging problems with unprecedented accuracy. For more data and evaluations jump over to the official OpenAI website.

OpenAI launches new o1 series. How these models are different and how to access them

These new models learned the 'think before you speak' lesson, resulting in advanced reasoning capabilities. If you have ever used ChatGPT, you know that the chatbot outputs answers with incredible speed, taking seconds to process even complex queries. Although speed is a clear advantage, it is also a disadvantage because it means the chatbot rushed through generating an answer. These new OpenAI models specialize in tackling that issue. Also: How to get ChatGPT to roast your Instagram feed OpenAI unveiled OpenAI o1 on Thursday, a new series of models designed to work through more complex science, coding, and math problems by spending more time thinking before they respond, according to the blog post. OpenAI shares that it trained the models to think before responding, like humans do, refining their thinking process and allowing them to try different strategies and identify their mistakes. This approach has paid off, with the o1 model excelling in math and coding, scoring 83% on the International Mathematics Olympiad (IMO) qualifying exam. For comparison, GPT-4o correctly solved only 13% of problems. Open AI CEO Sam Altman highlighted some of the benchmark results in an X post, seen below. The results make sense, given that a popular way to make ChatGPT output higher-quality responses, especially with prompts requiring advanced reasoning, is requesting it to reread the prompt. When reprocessing the original request, it typically finds its error and outputs the correct response. Because o1 is an early model, it lacks key ChatGPT features, such as internet browsing and accepting media uploads. As a result, in the short term, GPT-4o may be the best model for common cases, while o1 will be a better option for solving complex science, coding, and math problems. OpenAI also launched o1-mini, which is 80% cheaper than o1-preview. This makes it a more cost-effective and faster alternative for developers. OpenAI shares in the blog post that o1-mini is specifically effective at coding. Also: Have a global audience? This AI video platform translates your content in one click ChatGPT Plus and Team users can access the o1-preview and o1-mini models from the model picker toggle on the left side of their ChatGPT page, with weekly rate limits of 30 messages for o1-preview and 50 for o1-mini. The models are also available to developers who qualify for API usage tier 5 in the API with a limit of 20 RPM. ChatGPT Enterprise and Edu users will get access at the beginning of next week. OpenAI plans to bring o1-mini to all ChatGPT free users, too, but did not explicitly say when that change will happen. OpenAI is also working on expanding upon the current limit and enabling ChatGPT to choose the best model automatically based on user prompts. Rumors about an OpenAI model with advanced reasoning capabilities had been circulating as early as November 2023. Since then, the project has been dubbed Project Strawberry, with Atlman catching on and posting teasers throughout the summer.

OpenAI's new advanced AI models think before they speak - how to access them

OpenAI just rolled out its new o1 series, which it says excels in advanced reasoning. Here's how it's different from GPT-4o and what else we know so far. If you have ever used ChatGPT, you know that the chatbot outputs answers with incredible speed, taking seconds to process even complex queries. Although speed is a clear advantage, it is also a disadvantage because it means the chatbot rushed through generating an answer. These new OpenAI models specialize in tackling that issue. Also: How to get ChatGPT to roast your Instagram feed OpenAI unveiled OpenAI o1 on Thursday, a new series of models designed to work through more complex science, coding, and math problems by spending more time thinking before they respond, according to the blog post. OpenAI shares that it trained the models to think before responding, like humans do, refining their thinking process and allowing them to try different strategies and identify their mistakes. This approach has paid off, with the o1 model excelling in math and coding, scoring 83% on the International Mathematics Olympiad (IMO) qualifying exam. For comparison, GPT-4o correctly solved only 13% of problems. Open AI CEO Sam Altman highlighted some of the benchmark results in an X post, seen below. The results make sense, given that a popular way to make ChatGPT output higher-quality responses, especially with prompts requiring advanced reasoning, is requesting it to reread the prompt. When reprocessing the original request, it typically finds its error and outputs the correct response. Because o1 is an early model, it lacks key ChatGPT features, such as internet browsing and accepting media uploads. As a result, in the short term, GPT-4o may be the best model for common cases, while o1 will be a better option for solving complex science, coding, and math problems. OpenAI also launched o1-mini, which is 80% cheaper than o1-preview. This makes it a more cost-effective and faster alternative for developers. OpenAI shares in the blog post that o1-mini is specifically effective at coding. Also: Have a global audience? This AI video platform translates your content in one click ChatGPT Plus and Team users can access the o1-preview and o1-mini models from the model picker toggle on the left side of their ChatGPT page, with weekly rate limits of 30 messages for o1-preview and 50 for o1-mini. The models are also available to developers who qualify for API usage tier 5 in the API with a limit of 20 RPM. ChatGPT Enterprise and Edu users will get access at the beginning of next week. OpenAI plans to bring o1-mini to all ChatGPT free users, too, but did not explicitly say when that change will happen. OpenAI is also working on expanding upon the current limit and enabling ChatGPT to choose the best model automatically based on user prompts. Rumors about an OpenAI model with advanced reasoning capabilities had been circulating as early as November 2023. Since then, the project has been dubbed Project Strawberry, with Atlman catching on and posting teasers throughout the summer.

How to use new ChatGPT-o1 AI models from OpenAI

OpenAI has this week released new large language models the form ChatGPT-o1 Preview and Mini, both AI modes have been designed to enhance reasoning capabilities, particularly in the domains of science, mathematics, and computer programming. This powerful AI tool from OpenAI is now available to ChatGPT Plus and Teams users, albeit with specific usage limitations in place to ensure optimal performance and equitable access. At the heart of ChatGPT-o1's enhanced capabilities lies a sophisticated "Chain of Thought" technique, which enables the model to tackle complex, multi-step problems with unprecedented effectiveness. By breaking down intricate tasks into manageable steps, ChatGPT-01 can navigate challenges that would be tricky for less advanced AI models, making it an invaluable asset for users seeking to push the boundaries of what's possible with artificial intelligence and add advanced reasoning to their applications. While ChatGPT-01 is accessible through ChatGPT Plus and Teams, users should be aware of the specific usage limitations associated with each option: These limitations are designed to ensure that all users have the opportunity to experience the benefits of ChatGPT-01 while also maintaining the model's performance and reliability. Here are a selection of other articles from our extensive library of content you may find of interest on the subject of ChatGPT-o1 : ChatGPT-o1's enhanced reasoning capabilities truly shine when tackling tasks that require deep thought and multi-step reasoning. In benchmark tests, the model has demonstrated significant improvements in solving complex problems, such as those found in the International Mathematics Olympiad, outperforming previous models by a considerable margin. This exceptional performance makes ChatGPT-01 a fantastic option for users who require advanced problem-solving capabilities in fields like scientific research, mathematical modeling, and software development. By using the model's "Chain of Thought" approach, users can tackle challenges that were previously beyond the reach of AI-assisted tools. The potential applications for ChatGPT-01 are vast and varied, spanning across industries and disciplines. Some notable examples include: By harnessing the power of ChatGPT-01, users can streamline their workflows, uncover new insights, and make better-informed decisions in a wide range of contexts. To get the most out of ChatGPT-o1, it's essential to understand how to effectively communicate with the model. Rather than providing detailed, step-by-step prompts, users should focus on goal-based prompting, as the model is trained to think independently and work towards a desired outcome. When crafting prompts, aim for clarity and concision, emphasizing the end result rather than the intermediate steps. By doing so, you'll allow ChatGPT-01 to use its advanced reasoning capabilities to find the most efficient path to success. As impressive as ChatGPT-01 is in its current form, OpenAI has even more ambitious plans for the future. Upcoming iterations of the model will integrate additional tools, such as code interpreters, web browsing capabilities, and image generation, further expanding its utility and versatility. Moreover, future models will be equipped with the ability to auto-select the best tools and models for a given task, streamlining the user experience and ensuring optimal performance across a wide range of applications. ChatGPT-o1 represents a significant leap forward in the field of artificial intelligence, offering users unprecedented access to advanced reasoning capabilities that were once the exclusive domain of human experts. As the model continues to evolve and improve, it's poised to transform the way we approach complex problem-solving, ushering in a new era of AI-assisted innovation and discovery. For more details on all the new large language models released by OpenAI this week jump over to its official website.

OpenAI Unveils New ChatGPT AI Models With Enhanced Reasoning | PYMNTS.com

OpenAI has introduced its new "o1" series of reasoning models, which the company touts as a major advancement in artificial intelligence to tackle complex problems in science, coding, and mathematics. The company announced today that the first model in the series, "OpenAI o1-preview," is now available in ChatGPT and through its API, marking a significant leap in AI's problem-solving capabilities. Unlike previous models, the o1 series is designed to think more before responding, mimicking a human's reasoning process. OpenAI claims that this refined approach allows the model to solve tougher tasks. For example, in tests, the o1 model performed at levels comparable to PhD students on challenging benchmarks across physics, chemistry, and biology. In coding, the o1 model outperformed its predecessors, reaching the 89th percentile in Codeforces competitions, compared to just 13% for its predecessor, GPT-4o, on the International Mathematics Olympiad qualifying exam. "We trained these models to spend more time thinking through problems before they respond, much like a person would," OpenAI said in a statement. "Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes." Rumors have been circulating about the upcoming launch of a new OpenAI LLM model called Strawberry. The "o1" appears to be that model. "OpenAI's 'Strawberry' project signals a significant stride in AI capabilities, potentially revolutionizing how we interact with genAI technology and how it solves complex problems," Alon Yamin, co-founder and CEO of Copyleaks, an AI-based text analysis platform, told PYMNTS. "The implications for research, software development, and even scientific discovery are immense. Nevertheless, as we embrace this frontier, we must continue to prioritize the implementation of comprehensive guardrails. These guardrails will ensure that AI advancements like 'Strawberry' are harnessed responsibly, mitigating potential risks and maximizing their positive impact on society." Lars Nyman, CMO of CUDO Compute, previously told PYMNTS that the main strength of a reasoning-focused AI like 'Strawberry' lies in its ability to handle complex problem-solving, which could significantly impact industries like legal tech, healthcare, and scientific research. However, he noted that a potential downside is the slower response times, as this AI engages in more deliberate, 'System 2' thinking. This slower processing could present a challenge in a fast-paced world that demands instant results. OpenAI CEO Sam Altman wrote on X that "o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it. but also, it is the beginning of a new paradigm: AI that can do general-purpose complex reasoning." The release also highlights advancements in safety, a growing concern in AI development. OpenAI claims that the o1 series incorporates a new safety training approach that allows the model to reason about and follow safety rules more effectively. The o1-preview model scored 84 out of 100 on OpenAI's most difficult jailbreaking tests, where GPT-4o managed just 22 points. To complement the launch of the o1-preview, OpenAI is also introducing a lighter, more cost-effective version dubbed "o1-mini," explicitly aimed at developers for coding tasks. This smaller model is 80% cheaper than its larger counterpart, providing a balance between efficiency and power. ChatGPT Plus and Team users can begin accessing the o1 models on Thursday (Sept. 12), while enterprise and educational users will gain access next week. Developers can also experiment with both models via OpenAI's API, though certain features like function calling and streaming are still being developed. As OpenAI continues to roll out new models, it plans to add browsing, file uploads, and other enhancements to make the o1 series more capable.

New OpenAI o1-preview AI model introduced

As expected this month OpenAI has unveiled its latest AI series, the o1-preview, designed to address some of the hardest challenges in reasoning, coding, and science. Building on the success of its predecessors, the o1-preview series introduces a novel approach that emphasizes longer, more deliberate thinking, allowing the model to solve complex problems more effectively than previous iterations like GPT-4. This represents a leap forward in AI's ability to handle advanced tasks across a variety of domains, making it an essential tool for researchers, developers, and professionals in scientific fields. Quick Links: OpenAI's latest model, o1-preview, is a significant leap forward in artificial intelligence. Unlike prior models that focused on providing fast responses, the o1-preview series is designed to reason through problems by spending more time considering different strategies. This results in a higher level of accuracy and the ability to solve more complex challenges, particularly in fields like physics, mathematics, and coding. This model is available as part of the ChatGPT platform, as well as through the OpenAI API, enabling a wide range of users to interact with and test its advanced capabilities. By introducing the o1-preview, OpenAI hopes to meet the needs of professionals who require sophisticated AI to assist in highly technical tasks, such as researchers tackling challenging datasets or developers working on intricate coding projects. The o1-preview model introduces several innovative features that set it apart from earlier AI models, such as GPT-4: This deliberate, reasoning-focused approach to AI development offers a new level of capability, especially for users facing multifaceted problems that require in-depth analysis and complex workflows. The o1-preview model is versatile, with use cases spanning multiple industries and academic fields. Its enhanced reasoning capabilities make it particularly well-suited for tasks requiring deep thought and precision. Here are some examples of its applications: As AI technology becomes more deeply embedded in these fields, the o1-preview model is set to play a pivotal role in advancing research and development efforts. Alongside the release of o1-preview, OpenAI has also introduced a smaller variant known as the o1-mini. This model provides the same reasoning capabilities as its larger counterpart but at a reduced computational cost. As a result, o1-mini is 80% cheaper, making it an attractive option for developers and businesses looking to integrate advanced reasoning into their applications without incurring high costs. Although the o1-mini lacks broad world knowledge, it excels at generating and debugging complex code, making it particularly effective for coding projects that don't require expansive datasets or general information. A key aspect of the new o1-preview series is its focus on safety and alignment. OpenAI has developed a new safety training approach that leverages the model's reasoning abilities to ensure it adheres to ethical guidelines and rules. This includes improving the model's ability to recognize and follow safety protocols, even in scenarios where users attempt to bypass these restrictions through "jailbreaking." In one of the toughest jailbreaking tests, the o1-preview scored 84 out of 100, compared to a score of 22 for GPT-4o, demonstrating its superior ability to maintain safety standards under pressure. OpenAI has also formalized collaborations with AI safety institutes in the U.S. and U.K., granting these organizations early access to o1-preview for research and testing purposes. Looking ahead, OpenAI has big plans for the o1 series. While the current version lacks certain features like browsing and file uploading, these capabilities will be integrated into future updates, making the model even more powerful and versatile. In addition to continued improvements in reasoning performance, OpenAI is also working on increasing the messaging limits for users, expanding access to the API, and developing new models under the o1 banner. The o1-preview is just the beginning of a new era of reasoning-focused AI that promises to revolutionize multiple fields, from science and coding to safety research. By continually refining the model and expanding its features, OpenAI aims to push the boundaries of what artificial intelligence can achieve. To learn more jump over to the official OpenAI website.

OpenAI Launches New '01' Model That Outperforms ChatGPT-4o - Decrypt

OpenAI has introduced a new family of models and made them available Thursday on its paid ChatGPT Plus subscription tier, claiming that it provides major improvements in performance and reasoning capabilities. "We are introducing OpenAI o1, a new large language model trained with reinforcement learning to perform complex reasoning," OpenAI said in an official blog post, "o1 thinks before it answers." AI industry watchers had expected the top AI developer to deploy a new "strawberry" model for weeks, although distinctions between the different models under development are not publicly disclosed. OpenAI describes this new family of models as a big leap forward, so much so that they changed their usual naming scheme, breaking from the ChatGPT-3, ChatGPT-3.5, and ChatGPT-4o series. "For complex reasoning tasks, this is a significant advancement and represents a new level of AI capability," OpenAI said. "Given this, we are resetting the counter back to one and naming this series OpenAI o1." Key to the operation of these new models is that they "take their time" to think before acting, the company noted, and use "chain-of-thought" reasoning to make them extremely effective at complex tasks. Notably, even the smallest model in this new lineup surpasses the top-tier GPT-4o in several key areas, according to AI testing benchmarks shared by Open AI -- particularly OpenAI's comparisons on challenges considered to have PhD-level complexity. The newly released models emphasize what OpenAI calls "deliberative reasoning," where the system takes additional time to work internally through its responses. This process aims to produce more thoughtful, coherent answers, particularly in reasoning-heavy tasks. OpenAI also published internal testing results showing improvements over GPT-4o in such tasks as coding, calculus, and data analysis. However, the company disclosed that OpenAI 01 showed less drastic improvement in creative tasks like creative writing. (Our own subjective tests placed OpenAI offerings behind Claude AI in these areas.) Nonetheless, the results of its new model were rated well overall by human evaluators. The new model's capabilities, as noted, implement the chain-of-thought AI process during inference. In short, this means the model uses a segmented approach to reason through a problem step by step before providing a final result, which is what users ultimately see. "The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought," OpenAI says in the o1 family's system card. "Training models to incorporate a chain of thought before answering has the potential to unlock substantial benefits -- while also increasing potential risks that stem from heightened intelligence." The broad assertion leaves room for debate about the true novelty of the model's architecture among technical observers. OpenAI has not clarified how the process diverges from token-based generation: is it an actual resource allocation to reasoning, or a hidden chain-of-thought command -- or perhaps a mixture of both techniques? A previous open-source AI model called Reflection had experimented with a similar reasoning-heavy approach but faced criticism for its lack of transparency. That model used tags to separate the steps of its reasoning, leading to what its developers said was an improvement over the outputs from conventional models. Embedding more guidelines into the chain-of-thought process not only makes the model more accurate but also less prone to jailbreaking techniques, as it has more time -- and steps -- to catch when a potentially harmful result is being produced. The jailbreaking community seems to be as efficient as ever in finding ways to bypass AI safety controls, with the first successful jailbreaks of OpenAI 01 reported minutes after its release. It remains unclear whether this deliberative reasoning approach can be effectively scaled for real-time applications requiring fast response times. OpenAI said it meanwhile intends to expand the models' capabilities, including web search functionality and improved multimodal interactions. The model will also be tweaked over time to meet OpenAI's minimum standards in terms of safety, jailbreak prevention, and autonomy. The model was set to roll out today, however it may be released in phases, as some users have reported that the model is not available to them for testing yet. The smallest version will eventually be available for free, and the API access will be 80% cheaper than OpenAI o1-preview, according to OpenAI's announcement. But don't get too excited: there's currently a weekly rate of only 30 messages per week to test this new model for 01-preview and 50 for o1-mini, so pick your prompts wisely.

New ChatGPT-o1-mini excels at STEM, especially math and coding

OpenAI has also today released its the ChatGPT-o1-mini AI large language model, designed to be a cost-effective alternative to the o1-preview while maintaining strong performance in reasoning tasks. Specially optimized for STEM-related domains like mathematics and coding, the o1-mini is a smaller yet efficient model that offers comparable results to its larger counterparts on a range of complex tasks. With lower costs, higher speed, and increased accessibility, the ChatGPT-o1-mini is poised to make advanced reasoning AI available to a wider audience. ChatGPT-o1-preview and ChatGPT-o1-mini are now available in the API for developers on tier 5. o1-preview has strong reasoning capabilities and broad world knowledge. o1-mini is faster, 80% cheaper, and competitive with o1-preview at coding tasks. Quick Links: The OpenAI o1-mini is a newly launched AI model designed to provide a cost-effective solution for users who require advanced reasoning capabilities without the broader world knowledge that larger models like OpenAI o1 offer. ChatGPT-o1-mini is specifically optimized for reasoning tasks in STEM fields such as mathematics, coding, and science. OpenAI developed this model as part of its ongoing effort to make cutting-edge AI technology more accessible by reducing computational costs and increasing speed. ChatGPT-o1-mini is built using the same high-compute reinforcement learning (RL) pipeline as the larger o1 model, allowing it to perform comparably well on complex reasoning tasks while being 80% cheaper. OpenAI aims to bridge the gap between high-performance AI models and practical, affordable solutions for developers, researchers, and educators. One of the standout features of ChatGPT-o1-mini is its remarkable performance in comparison to its cost. While o1-preview and o1 models deliver powerful reasoning capabilities across a wide range of tasks, they come at a higher computational expense. o1-mini, on the other hand, achieves nearly the same performance in specific domains like math and coding while being significantly more affordable. In the American Invitational Mathematics Examination (AIME), which challenges some of the brightest high school students in the US, o1-mini scored 70.0%, just slightly behind o1's 74.4%. This performance places ChatGPT-o1-mini in the top 500 students nationally, a notable achievement for a model designed to prioritize cost efficiency. Similarly, in coding, ChatGPT-o1-mini achieves an impressive 1650 Elo score on Codeforces, a popular competitive programming platform, putting it in the 86th percentile of human competitors. This score is close to o1's Elo of 1673, making o1-mini a strong contender in coding challenges while still being faster and more affordable. When it comes to benchmarks such as HumanEval and cybersecurity capture the flag challenges (CTFs), o1-mini demonstrates solid performance, proving its capabilities in specialized tasks. The primary strength of o1-mini lies in its specialization in STEM-related tasks, making it a valuable tool for professionals, researchers, and educators focused on mathematics, coding, and science. Its cost-effective nature opens up opportunities for organizations and individuals who require advanced reasoning capabilities without the need for broader world knowledge. Here are some potential applications of OpenAI o1-mini: The model's specialization in STEM subjects allows it to excel in areas where logical reasoning and technical problem-solving are crucial. For example, it can be deployed in educational platforms that focus on mathematics and science tutoring or in competitive programming environments where speed and accuracy are essential. OpenAI has made significant improvements to safety and alignment in the development of ChatGPT-o1-mini. Like the o1-preview, o1-mini was trained using OpenAI's safety and alignment techniques, ensuring that the model adheres to human values and ethical guidelines during operation. This focus on safety is especially important for preventing misuse or unintended outcomes, particularly in fields where AI can have a direct impact on real-world tasks. One of the highlights of ChatGPT-o1-mini's safety features is its enhanced robustness against jailbreak attempts. Compared to GPT-4o, o1-mini showed a 59% improvement in resisting attempts to bypass its safety protocols. This higher jailbreak robustness was confirmed using an internal version of the StrongREJECT dataset, a tool OpenAI uses to test its models' resistance to manipulative or harmful prompts. Before the deployment of o1-mini, OpenAI conducted extensive safety evaluations, including red-teaming exercises and preparedness assessments. These evaluations ensure that the model meets the same rigorous safety standards as its larger counterparts, providing a secure AI experience for users across various applications. While OpenAI ChatGPT-o1-mini is a powerful reasoning model in STEM fields, it has certain limitations in non-STEM domains. For example, its factual knowledge on general topics like history, geography, biographies, and trivia is not as robust as that of larger models like GPT-4o. This trade-off between cost efficiency and broad world knowledge is expected, given that o1-mini is optimized for reasoning-intensive tasks. OpenAI plans to address these limitations in future iterations of ChatGPT-o1-mini. By expanding the model's capabilities beyond STEM subjects, OpenAI aims to make o1-mini a more versatile tool that can handle a broader range of tasks without compromising its cost and speed advantages. In addition, OpenAI is exploring ways to extend ChatGPT-o1-mini's capabilities to other modalities and specialties, such as incorporating more natural language tasks and enhancing the model's ability to deal with non-STEM information. These improvements will make o1-mini an even more powerful tool for users in various industries. The release of o1-mini marks a significant step forward in AI development, offering a cost-efficient model that excels at reasoning while maintaining high safety standards. As OpenAI continues to refine the model, it is expected to become a critical tool for developers, researchers, and educators who require advanced AI capabilities at an affordable price. To learn more about the new OpenAI ChatGPT-o1-mini large language model jump over to the official OpenAI website for more details evaluations and data.

OpenAI's Latest AI Models Tackle Harder Problems

OpenAI has unveiled new artificial intelligence (AI) models for complex reasoning tasks that can solve much harder problems than before, and you can use them now. Both ChatGPT and the OpenAI API now have new "o1" AI models available as a preview. OpenAI has trained the latest models to spend more time thinking and considering all the possible options, which supposedly makes them particularly effective in science, coding, and math. While the new models can't yet fetch current information from the web or use files and images for context, they're already on par with PhD students in physics, chemistry, and biology. "In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%," the company said. "Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes." OpenAI provides a few examples of how the new AI models might be used in real life, including annotating cell sequencing data, generating complicated mathematical formulas for quantum optics, executing multi-step workflows, etc. It also provides a more affordable and faster reasoning model, o1-mini, that developers can integrate to build apps "that require reasoning but not broad world knowledge." The company came up with a new safety training system to enable the new models to "reason about our safety rules in context," which should let them apply the rules more effectively. "One way we measure safety is by testing how well our model continues to follow its safety rules if a user tries to bypass them (known as jailbreaking)," it explains. "On one of our hardest jailbreaking tests, GPT-4o scored 22 (on a scale of 0-100) while our o1-preview model scored 84." If you use ChatGPT+ or ChatGPT Team, you can access these new o1 models in the app. Just choose "o1-preview" or "o1-mini," with their weekly rate limits set to 30 and 50 messages, respectively. ChatGPT Enterprise and Edu users will get access to both models beginning next week. The o1-mini model will also come to free ChatGPT users, but OpenAI hasn't said when. Source: OpenAI

OpenAI's o1 Model takes AI to a new level -- it fact-checks itself before responding

OpenAI has just launched its latest model of AI, the o1; this is a quantum leap in furthering the reasoning powers of artificial intelligence. The model, codenamed "Strawberry" during its development, aims to handle more complex tasks, especially in STEM subjects like physics, chemistry, and biology. This release is exciting for those following AI progress but has some limitations, as with all cutting-edge technology. OpenAI's o1 model sets a high standard, showcasing performance comparable to PhD students when tackling complex tasks. During initial testing, the o1 model demonstrated a more refined thinking process, successfully replicating the students' performances while excelling in physics, chemistry and biology. The model also seems promising in areas such as mathematics and coding. What differentiates o1, though, is how it adjusts its approaches to challenging situations. Through training, this model has learned to recognize mistakes and improve its responses, which gives it an edge in analytical tasks. The emphasis on "reasoning" means the AI can approach multi-step problems with a more reflective, deliberative process quite different from its earlier predecessors, focused more on generating language and surface-level tasks. The o1 model, even with its reasoning ability, has a few significant limitations. Compared to OpenAI's GPT-4o, which powers most of ChatGPT's advanced functionalities, the o1 model misses many vital features. For example, it cannot browse the web, upload files, or process images -- all valuable features to users. Also, o1 does not yet support API functionality for fundamental features, including tool usage, function calling, streaming, and custom system messages. This alone might prove a significant limitation for those developers and enterprises that depended on this functionality in GPT-4o. While o1 is incomparable in reasoning, it is far from a complete replacement for GPT-4o for many real-world applications. With this increased capability, Open AI has been spurred to heighten its safety measures. It has worked on improving internal governance and developing closer ties with federal governments to provide more consistency in seeing the model put within the safety guidelines. This will supposedly be effective in making o1 more compliant with ethical norms at lesser risks and with minimal harmful outputs. Starting today, ChatGPT Plus and Team users will have access to an early preview of the o1 model, available by selecting 'o1-preview' in the model selector. For those more focused on STEM-related queries, OpenAI is also releasing the "OpenAI o1 mini" model, designed for faster responses in math and science. This variant is tailored to handle more technical questions and will be helpful for students and professionals alike. Next week, both models will be available to ChatGPT Enterprise and Education users, expanding access to a broader audience. Developers can also start prototyping with these models through the API, although rate limits and other restrictions will apply in the early phases. OpenAI has shown its intent that the o1 series is only the beginning. While this model is not positioned to take over from GPT-4o in most applications, OpenAI says it will update the o1 models as it gathers feedback and improves the models regularly. This will undoubtedly bring in new features and improve others. The landscape of AI is always in fast motion, and the release of the o1 model hints that OpenAI is trying once more to push the limits of what AI can accomplish. With more updates and improvements in the future, it will be exciting to see how this new model evolves and where it will reside among the large landscape of AI tools.

OpenAI's o1 series is here and delivers PhD-level performance

Key Takeaways OpenAI recently launched new AI models, o1-preview and o1-mini. The o1 series excels in complex reasoning but lacks some of the basic capabilities of ChatGPT. OpenAI has claimed that o1-mini will be available for free to ChatGPT users, in the near future. If you've used AI chatbots, like ChatGPT and Gemini, of late, you know just how quickly they can generate detailed responses. But fast does not always equal accurate or well thought out. As it turns out, OpenAI is aware of this and has launched two new AI models that have been specially designed to provide slower, more deliberate responses. Related ChatGPT vs Microsoft Copilot vs Google Gemini: What are the differences? If you've been trying to figure out which generative AI tool is better, you've come to the right place OpenAI launches o1-preview and o1-mini As announced in an OpenAI blog post, the two models that are part of the o1 series, o1-preview and o1-mini, can be accessed by eligible users, starting September 12. While talks about a new, more capable OpenAI model have been making the rounds for some time now, what's perhaps most surprising is that OpenAI claims its o1 series can perform "similarly to PhD students on challenging benchmark asks in physics, chemistry, and biology". Does this mean you can do away with ChatGPT, now that a newer, more capable AI model has arrived? Well, not exactly. While the o1 series excels in complex reasoning, it lacks many of ChatGPT's capabilities that users have come to love. For instance, the o1 series doesn't yet support web browsing or file/image uploads. So, while the new AI models might find more use cases in academia or development environments that require complex reasoning and problem-solving, ChatGPT models still certainly have an edge when it comes to everyday tasks. That said, if you like the quick response times and affordability of ChatGPT models but want the extensive reasoning capabilities of the o1 series, the o1-mini might be a solid alternative that offers the best of both worlds. How to access OpenAI's o1 models If you're a ChatGPT Plus or Team user, you already have access to the company's o1 models. You'll have to manually pick the model, though, based on the nature of the task at hand. Developers who are on the API usage tier 5 also have access to both models in the API. Enterprise and Edu users should have access to the o1 series starting next week. And if OpenAI's claims are anything to go by, o1-mini should be available to all ChatGPT users for free in the near future. Have you tested the o1 series? Let us know what you think about its capabilities below. And if you're enjoying experimenting with these AI tools, you might also want to check out other AI applications that you can run on your PC.

ChatGPT Gets New o1 Model, First To Have 'Reasoning' for Hard Problems

Imad is a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ESPN, Tom's Guide and Wired, among others. ChatGPT has a new model named o1 that's trained to solve harder problems, analyze its answers, try different strategies and refine its thinking, OpenAI said in a blog post on Thursday. The new model, currently split between o1-preview and o1-mini, ranks in the 89th percentile in Codeforces' competitive programming contests, places among the top 500 students in the US for the Math Olympiad and "exceeds PhD-level accuracy on a benchmark of physics, biology and chemistry problems," according to OpenAI. "We have noticed that this model hallucinates less," said Jerry Tworek, OpenAI's research lead in an interview with The Verge. It's been trained on a new optimization algorithm with a tailor-made training dataset. Where past models aimed to mimic patterns in their training data, o1 uses reinforcement learning, which teaches it through rewards and penalties. The thing that differentiates o1 from past models is its ability to "think," according to a report from The Information on Tuesday. This means the model doesn't immediately begin spitting out responses and can take 10-20 seconds to put together a well-thought-out answer. The o1 model, which has also been referred to as Strawberry by onlookers (a possible reference to the viral trend of influencers asking AIs to answer how many "Rs" are in the word "strawberry"), removes the need for "chain-of-thought prompting," where users have to ask extra questions of an AI to see its intermediate reasoning. Instead, the model is designed to show its reasoning by default. Because o1 is still in its preview stage, there are some major limitations. Unlike GPT-4o, o1 isn't connected to the web, can't be used with file uploads and has a multitude of API limitations for developers. The o1-mini model differs in that it focuses on delivering fast answers to STEM-related questions. Competition in the AI space continues to get more fierce as every player in Big Tech aims to out-compete one another and create "agentive" AIs that can complete tasks for you. At Google I/O earlier this year, the search giant unveiled a more powerful version of Gemini that can more naturally converse with you, even allowing you to interrupt it mid-sentence. And at the iPhone 16 launch event earlier this week, Apple bumped up the processing power of its latest handsets to be able to handle Apple Intelligence, a suite of AI features for iPhone backed with OpenAI tech. While AI hype had been driving tech stocks to record numbers over the past two years, it seems that investors might be growing more cautious. Nvidia, the chip maker that's creating the brains powering many of the world's top AI data centers, saw a 10% drop last week. The tech world broadly could be cooling on AI as it waits for more concrete results from services, although that hasn't stopped OpenAI from reaching a staggering $150 billion valuation. For ChatGPT Plus and Team users, the o1-preview model is rolling out now. ChatGPT Enterprise and Edu users will gain access next week. Developers can also use the API for prototyping.

Forget GPT-5! OpenAI launches new AI model family o1 claiming PhD-level performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Since the launch of OpenAI's powerful proprietary large language model (LLM) GPT-4 in March 2023 -- 18 months ago -- users and developers have wondered about when the company that kicked off the generative AI craze in Silicon Valley, and around the world, would launch the next version, presumed to be called GPT-5. As it turns out, the GPT series is being leapfrogged for now by a whole new family of models. Today, following months of reports and rumors that intensified in recent days, OpenAI announced its "o1" AI model family beginning with two models: o1-preview and o1-mini, which the company says are designed to "reason through complex tasks and solve harder problems" than the GPT series models. Both models are available today for ChatGPT Plus users but are initially limited to 30 messages per week for o1-preview and 50 for o1-mini. However, OpenAI also cautions that "As an early model, it doesn't yet have many of the features that make ChatGPT useful, like browsing the web for information and uploading files and images. For many common cases GPT-4o will be more capable in the near term." Indeed, our initial tests trying to use it to create an image for this article found that it could not. On OpenAI's API platform website, the company clarifies that in its beta state, the model family supports "text only, images are not supported." What o1 does better than GPT OpenAI claims its new o1 series is particularly well-suited for users tackling complex problems in fields like science, healthcare, and technology. OpenAI envisions the models being used for a wide range of applications, from helping physicists generate mathematical formulas for quantum optics to assisting healthcare researchers in annotating cell sequencing data. Developers will also find the o1-mini model effective for building and executing multi-step workflows, debugging code, and solving programming challenges efficiently. o1-preview performs at PhD levels The o1-preview model is designed to handle challenging tasks by dedicating more time to thinking and refining its responses, similar to how a person would approach a complex problem. In tests, this approach has allowed the model to perform at a level close to that of PhD students in areas like physics, chemistry, and biology. Additionally, the o1-preview model excels in coding, ranking in the 89th percentile in Codeforces competitions, showcasing its ability to handle multi-step workflows, debug complex code, and generate accurate solutions. In benchmark tasks such as the International Mathematics Olympiad (IMO) qualifying exam, o1-preview demonstrated its prowess by solving 83% of the problems, a sharp improvement over the 13% success rate of its predecessor, GPT-4o. It is already available for use in ChatGPT by Plus and Team users, with Enterprise and Edu users gaining access next week. The models are also available via the OpenAI API for developers who qualify for API usage tier 5, though initial rate limits will apply. o1-mini is less powerful but 80% cheaper In conjunction with o1-preview, OpenAI has also launched the o1-mini model, a more streamlined version designed to offer faster and cheaper reasoning capabilities. While optimized primarily for coding and STEM tasks, the o1-mini still delivers strong performance, particularly in math and programming. On the IMO math benchmark, o1-mini scored 70%, nearly matching the 74% of o1-preview while offering a significantly lower inference cost. It also performed competitively in coding evaluations, achieving an Elo score of 1650 on Codeforces, positioning it among the top 86% of programmers. With an 80% lower price tag compared to o1-preview, the o1-mini is aimed at developers and researchers who require reasoning capabilities but don't need the broader knowledge that the more advanced o1-preview model offers. This cost-effective solution will also be available to ChatGPT Plus, Team, Enterprise, and Edu users, with plans to extend access to ChatGPT Free users in the future. Safety and security enhancements In line with OpenAI's commitment to safety, both models incorporate a new safety training approach that enhances their ability to follow safety and alignment guidelines. OpenAI highlights that o1-preview scored an impressive 84 on one of its toughest jailbreaking tests, a significant improvement over GPT-4o's score of 22. The ability to reason about safety rules in context allows these models to better handle unsafe prompts and avoid generating inappropriate content. As part of broader safety efforts, OpenAI has entered into agreements with the U.S. and U.K. AI Safety Institutes. These partnerships include granting early access to a research version of the o1 models to help in the evaluation and testing of future AI systems. OpenAI's safety work also includes comprehensive internal governance and collaboration with the federal government, reinforced by regular testing, red-teaming, and board-level oversight from the company's Safety & Security Committee. What's next for OpenAI's o1 Series Although the o1-preview and o1-mini models are powerful tools for reasoning and problem-solving, OpenAI acknowledges that this is just the beginning. The company plans to regularly update and improve these models, including adding features like browsing, file and image uploading, and function calling, which are currently not available in the API version. Looking ahead, OpenAI will continue to develop both its GPT and o1 series, further expanding the capabilities of AI in various fields. Users can expect ongoing advancements as the company works to increase the usefulness and accessibility of these models across different applications.

How to Use the New ChatGPT o1 Model Right Now

OpenAI o1 models represent a new era of AI intelligence that can solve harder problems in reasoning, math, coding, and science. OpenAI today released a new series of advanced reasoning models dubbed 'o1' to ChatGPT. These models share the codename 'Strawberry' and bring a paradigm shift in AI intelligence. OpenAI o1 models match human experts in science-related topics, like math, physics, chemistry, and coding. OpenAI says its new ChatGPT o1 models are on par with PhD students, which is pretty significant. The best part is that two new o1 models - ChatGPT o1-preview and ChatGPT o1-mini - are already available to ChatGPT Plus subscribers. That said, there is a weekly rate limit of 30 messages for o1-preview and 50 for o1-mini. So, let's learn how you can test out the ChatGPT o1 model. OpenAI o1 models can tackle complex reasoning questions and solve much harder problems. In my testing so far, ChatGPT o1 has correctly answered every reasoning question I have thrown at it. Earlier, even state-of-the-art LLMs like GPT-4o and Claude 3.5 Sonnet failed to reason through common sense reasoning problems and logical questions. OpenAI says o1 models have been trained to perform chain-of-thought reasoning through reinforcement learning. That's why it takes some time to 'think' before generating a response. Keep in mind that you can't use the o1 models to analyze documents, images, or browse the web. Currently, it only supports textual input. OpenAI says multimodal input capability will come at a later date. As for free ChatGPT users, the ChatGPT o1-mini model should be available in the near future. Anyway, that is all from us. Go ahead and test out OpenAI's new o1 models and share your insights with us.

OpenAI makes big AI breakthrough, ChatGPT can now think and reason: Details

OpenAI has finally revealed the model behind its largely discussed project Strawberry. OpenAI has officially unveiled the full name of its AI model. The new model is o1, which is Open AI's first reasoning model. As explained in Open AI's official blog, this model has the ability to 'think' before it responds. OpenAI said that o1 can solve complex tasks and tough problems. The company also claimed that it is the first of its kind to be added in ChatGPT. Decoding o1 It also explained that this model can take time in responding as this 'thinks' before it advises you. However the company is working on speeding up the process. It also aims to add more updates on the o1 model. As of now it can solve PhD level problems in chemistry, biology and physics. Furthermore, OpenAI o1 can also solve problems that are available at STEM. The model has the potential to match the level of AIME and Codeforces. The company also added OpenAI o1-mini which is a cheaper yet powerful version of o1's original model. This model has equal capabilities as the original one. OpenAI o1: AI that can think! OpenAI's o1 is expected to create a new benchmark in ChatGPT. Early reports suggest that ChatGPT had shown traces of 'AI hallucinations.' This had raised a chaos among scientists and users. Notably 'AI hallucinations' can be defined as the loophole in AI that makes them respond to wrong answers. For example, if you are asking ChatGPT to view Adolf Hitler, it might show you some random picture and not his. This is not only an error but can also spread misinformation among users. OpenAI' s new model can reduce this and remove it to a certain extent. However, it's yet to get perfect at this, the company highlighted. So, who can access these o1 models? OpenAI said that both ChatGPT Plus and Team users will be able to access o1 models in ChatGPT starting from September 12. You can select both o1-mini and o1-preview in the model picker in ChatGPT. As of now you get weekly rate limits of 50 messages for o1-mini and 30 messages for o1-preview.

OpenAI Releases Its Highly Anticipated GPT-o1 Model

OpenAI today released a preview of its next-generation large language models, which the company says perform better than its previous models but come with a few caveats. In its announcement for the new model, o1-preview, OpenAI touted its performance on a variety of tasks designed for humans. The model scored in the 89th percentile in programming competitions held by Codeforces and answered 83 percent of questions on a qualifying test for the International Mathematics Olympiad, compared to GPT-4o's 14 percent correct. Sam Altman, OpenAI's CEO, said the o1-preview and o1-mini models were the "beginning of a new paradigm: AI that can do general-purpose complex reasoning." But he added that "o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it." When asked a question, the new models use chain-of-thought techniques that mimic how humans think and how many generative AI users have learned to use the technologyâ€"by continuously prompting and correcting the model with new directions until it achieves the desired answer. But in o1 models, versions of those processes happen behind the scenes without additional prompting. "It learns to recognize and correct its mistakes. It learns to break down tricky steps into simpler ones. It learns to try a different approach when the current one isn’t working," the company said. While these techniques improve the models' performances on various benchmarks, OpenAI found that in a small subset of cases, they also result in o1 models intentionally deceiving users. In a test of 100,000 ChatGPT conversations powered by o1-preview, the company found that about 800 answers the model supplied were incorrect. And for roughly a third of those incorrect responses, the model's chain of thought showed that it knew the answer was incorrect but provided it anyway. "Intentional hallucinations primarily happen when o1-preview is asked to provide references to articles, websites, books, or similar sources that it cannot easily verify without access to internet search, causing o1-preview to make up plausible examples instead," the company wrote in its model system card. Overall, the new models performed better than GPT-4o, OpenAI's previous state-of-the-art model, on various company safety benchmarks measuring how easily the models can be jailbroken, how often they provide incorrect responses, and how often they display bias regarding age, gender, and race. However, the company found that o1-preview was significantly more likely than GPT-4o to provide an answer when it was asked an ambiguous question where the model should have responded that it didn't know the answer. OpenAI did not release much information about the data used to train its new models, saying only that they were trained on a combination of publicly available data and proprietary data obtained through partnerships.

OpenAI teases its 'complex reasoning' AI model called o1

The ChatGPT creator says its latest model is able to think about problems for a longer time and take multiple steps to find a solution. OpenAI has shared a preview of its latest large language model that is focused on "complex reasoning", the o1 model. The company says an early version of this model is now available for ChatGPT subscribers and the company's "trusted API users". But the company noted that it is still working to make the o1 as easy to use as its other models. OpenAI says this model is capable of "thinking" for a longer time when solving a problem and claims this process dramatically improves its ability to reason and answer more complicated questions. "o1 uses a chain of thought when attempting to solve a problem," OpenAI said in a blogpost. "Through reinforcement learning, o1 learns to hone its chain of thought and refine the strategies it uses. It learns to recognise and correct its mistakes. It learns to break down tricky steps into simpler ones. It learns to try a different approach when the current one isn't working." Like any new AI model announcement, OpenAI made some large claims around the capabilities of the o1 and says it rivalled the performance of human experts in "many reasoning-heavy benchmarks". These comparisons can be difficult to verify, however. A report from the AI Index earlier this year claimed robust evaluations for large language models are "seriously lacking" and there is a lack standardisation in responsible AI reporting. But according to OpenAI, this new model will be a significant improvement and will be able to handle complicated problems such as writing code more effectively. "Our large-scale reinforcement learning algorithm teaches the model how to think productively using its chain of thought in a highly data-efficient training process," OpenAI said. "We have found that the performance of o1 consistently improves with more reinforcement learning (train-time compute) and with more time spent thinking (test-time compute)." The new model preview comes as OpenAI aims to raise $6.5bn from investors at a valuation of $150bn. Inside sources told Bloomberg that the start-up is also looking to raise $5bn in debt from banks as a revolving credit facility. The new valuation will be significantly higher than the start-up's previous valuation of $86bn and will make the company one of the most valuable start-ups in the world. It might also be a lifeline for the company - recent reports suggest OpenAI is facing astronomical costs. Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

OpenAI releases o1, which it says solves harder problems

OpenAI said o1 uses a chain of thought when attempting to solve a problem. OpenAI has launched a new series of models that it says "can solve harder problems" than its earlier generative artificial intelligence (GenAI) models. The California-based company said on Thursday it was releasing an early preview of the series, officially called o1-preview and o1-mini. The model has been code-named Strawberry. OpenAI said that in its tests the new models performed similarly to PhD students on challenging tasks in physics, chemistry, and biology and did well in maths and coding. The company said that it tested the model in a qualifying exam for the International Mathematical Olympiad (IMO), a high school math competition. It had ten hours to solve six challenging algorithmic problems and was allowed 50 submissions per problem. The o1 model solved 83 per cent of the problems while GPT-4o only solved 13 per cent, according to OpenAI. The company notes that it does not have all the main features of ChatGPT, such as browsing the internet for information and uploading files and images. It also does not have image-analysing features, which have been disabled pending additional testing. Another drawback is that it is very expensive. The new model is around three times the cost of GPT-4o for input and four times more expensive for output. The o1-preview is $15 (€13.50) per 1 million input tokens and $60 (€54) per 1 million output tokens. Tokens are raw data and 1 million tokens is around 750,000 words. For the moment it is not free to users but the company said it is planning to bring the o1-mini to all free ChatGPT users. OpenAI also said in a technical paper that feedback from testers was that o1 tends to hallucinate (make things up) more than GPT-4o. It also does not admit as much to not having an answer to a question. OpenAI co-founder and CEO Sam Altman said in a post on X that "o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it". OpenAI said that the model works "similar to how a human may think for a long time before responding to a difficult question," adding that "o1 uses a chain of thought when attempting to solve a problem". OpenAI did not exactly show how this "chain of thought" reasoning worked, partly due to competitive advantage. But it did show "model generated summaries" of the chains of thought. Working with governments OpenAI said that to advance its commitments to AI safety, it recently formalised agreements with the US and UK AI Safety Institutes, which included granting institutes early access to the model prior to public release.

OpenAI releases o1, its first model with 'reasoning' abilities

For OpenAI, o1 represents a step toward its broader goal of human-like artificial intelligence. More practically, it does a better job at writing code and solving multistep problems than previous models. But it's also more expensive and slower to use than GPT-4o. OpenAI is calling this release of o1 a "preview" to emphasize how nascent it is. ChatGPT Plus and Team users get access to both o1-preview and o1-mini starting today, while Enterprise and Edu users will get access early next week. OpenAI says it plans to bring o1-mini access to all the free users of ChatGPT but hasn't set a release date yet. Developer access to o1 is really expensive: In the API, o1-preview is $15 per 1 million input tokens, or chunks of text parsed by the model, and $60 per 1 million output tokens. For comparison, GPT-4o costs $5 per 1 million input tokens and $15 per 1 million output tokens.

OpenAI unveils 'thinking' version of ChatGPT By Proactive Investors

Proactive Investors - ChatGpt developer OpenAI has unveiled its next series of what it describes as a reasoning version of its generative AI software. Originally called Strawberry and now renamed OpenAI o1, the software can answer complex questions such as writing code much faster than humans, says the Microsoft-backed company. Two versions are available, the core product and a cheaper version mini o1 but it is currently only accessible by paying subscribers. According to the company, OpenAI o1 can spend more time considering all parts of a question, effectively having the ability to "think" before responding to queries. OpenAI added that it was a qualifying exam for the International Mathematical Olympiad it 83% of the questions right compared to 13% for GPT-4 though this was below the score managed by Google's rival AI software Deepmind. ChatGPT Plus and Team users get access to both versions today with Enterprise and Edu users getting access from next week. OpenAI emphasised that this o1 release is just a "preview" and the product remains in the early stages of development.

OpenAI's new o1 model is slower, on purpose

The company claims that the new model can actually 'reason' and think logically. OpenAI has unveiled its latest artificial intelligence model called o1, which, the company claims, can perform complex reasoning tasks more effectively than its predecessors. The release comes as OpenAI faces increasing competition in the race to develop more sophisticated AI systems. O1 was trained to "spend more time thinking through problems before they respond, much like a person would," OpenAI said on its website. "Through training, [the models] learn to refine their thinking process, try different strategies, and recognize their mistakes." OpenAI envisions the new model being used by healthcare researchers to annotate cell sequencing data, by physicists to generate mathematical formulas and software developers. Current AI systems are essentially fancier versions of autocomplete, generating responses through statistics instead of actually "thinking" through a question, which means that they are less "intelligent" than they appear to be. When Engadget tried to get ChatGPT and other AI chatbots to solve the New York Times Spelling Bee, for instance, they fumbled and produced nonsensical results. With o1, the company claims that it is "resetting the counter back to 1" with a new kind of AI model designed to actually engage in complex problem-solving and logical thinking. In a blog post detailing the new model, OpenAI said that it performs similarly to PhD students on challenging benchmark tasks in physics, chemistry and biology, and excels in math and coding. For example, its current flagship model, GPT-4o, correctly solved only 13 percent of problems in a qualifying exam for the International Mathematics Olympiad compared to o1, which solved 83 percent. The new model, however, doesn't include capabilities like web browsing or the ability to upload files and images. And, according to The Verge, it's significantly slower at processing prompts compared to GPT-4o. Despite having longer to consider its outputs, o1 hasn't solved the problem of "hallucinations" -- a term for AI models making up information. "We can't say we solved hallucinations," the company's chief research officer Bob McGrew told The Verge. O1 is still at a nascent stage. OpenAI calls it a "preview" and is making it available only to paying ChatGPT customers starting today with restrictions on how many questions they can ask it per week. In addition, OpenAI is also launching o1-mini, a slimmed-down version that the company says is particularly effective for coding.

OpenAI takes another step closer to getting AI to think like humans with new 'o1' model

This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in. While previous iterations of OpenAI's models have excelled on standardized tests like the SAT to the Uniform Bar Examination, the company says that o1 goes a step further. It performs "similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology." For example, it beat GPT-4o -- a multimodal model OpenAI unveiled in May -- in the qualifying exam for the International Mathematics Olympiad by a long shot. GPT-4o only correctly solved 13% of the exam's problems, while o1 scored 83%, the company said. The sharp surge in the o1's reasoning capabilities comes, in part, from a prompting technique known as "chain of thought." OpenAI said o1 "learns to recognize and correct its mistakes. It learns to break down tricky steps into simpler ones. It learns to try a different approach when the current one isn't working." That's not to say there aren't some tradeoffs compared to earlier models. OpenAI noted that while human testers preferred o1's responses in reasoning-heavy categories like data analysis, coding, and math, GPT-4o still won out in natural language tasks like personal writing. OpenAI's primary mission has long been to create artificial general intelligence, or AGI, a still hypothetical form of AI that mimics human capabilities. Over the summer, while o1 was still in development, the company unveiled a new five-level classification system for tracking its progress toward that goal. Company executives reportedly told employees that o1 was nearing a level two, which it identified as "reasoners" with human-level problem-solving. Ethan Mollick, a professor at the University of Pennsylvania's Wharton School who has had access to o1 for over a month, said the model's gains are perhaps best illustrated by how it solves crossword puzzles. Crossword puzzles are typically difficult for large language models to solve because "they require iterative solving: trying and rejecting many answers that all affect each other," Mollick wrote in a post on his Substack. Most large language models "can only add a token/word at a time to their answer." But when Mollick asked o1 to solve a crossword puzzle, it thought about it for a "full 108 seconds" before responding. He said that its thoughts were both "illuminating" and "pretty impressive" even if they weren't fully correct. Other AI experts, however, are less convinced. Gary Marcus, a New York University professor of cognitive science, told Business Insider that the model is "impressive engineering" but not a giant leap. "I am sure it will be hyped to the sky, as usual, but it's definitely not close to AGI," he said. Since OpenAI unveiled GPT-4 last year, it's been releasing successive iterations in its quest to invent AGI. In April, GPT-4 Turbo was made available to paid subscribers. One update included the ability to generate responses that are "more conversational." The company announced in July that it's testing an AI search product called SearchGPT with a limited group of users.

OpenAI's Big Reset

With its new model, the company wants you to think ChatGPT is human. After weeks of speculation about a new and more powerful AI product in the works, OpenAI today announced its first "reasoning model." The program, known as o1, may in many respects be OpenAI's most powerful AI offering yet, with problem-solving capacities that resemble those of a human mind more than any software before. Or, at least, that's how the company is selling it. As with most OpenAI research and product announcements, o1 is, for now, somewhat of a tease. The start-up claims that the model is far better at complex tasks but released very few details about the model's training. And o1 is currently available only as a limited preview to paid ChatGPT users and select programmers. All that the general public has to go off of is a grand pronouncement: OpenAI believes it has figured out how to build software so powerful that it will soon think "similarly to PhD students" in physics, chemistry, and biology tasks. The advance is supposedly so significant that the company says it is starting afresh from the current GPT-4 model, "resetting the counter back to 1" and even forgoing the familiar "GPT" branding that has so far defined its chatbot, if not the entire generative AI boom. The research and blog posts that OpenAI published today are filled with genuinely impressive examples of the chatbot "reasoning" through difficult tasks: advanced math and coding problems; decryption of an involved cipher; complex questions about genetics, economics, and quantum physics from experts in those fields. Plenty of charts show that, during internal evaluations, o1 has leapfrogged the company's most advanced language model, GPT-4o, on problems in coding, math, and various scientific fields. The key to these advances is a lesson taught to most children: Think before you speak. OpenAI designed o1 to take a longer time "thinking through problems before they respond, much like a person would," according to today's announcement. The company has dubbed that internal deliberation a "chain of thought," a long-standing term used by AI researchers to describe programs that break problems into intermediate steps. That chain of thought, in turn, allows the model to solve smaller tasks, correct itself, and refine its approach. When I asked the o1 preview questions today, it displayed the word "Thinking" after I sent various prompts, and then it displayed messages related to the steps in its reasoning -- "Tracing historical shifts" or "Piecing together evidence," for example. Then, it noted that it "Thought for 9 seconds," or some similarly brief period, before providing a final answer. The full "chain of thought" that o1 uses to arrive at any given answer is hidden from users, sacrificing transparency for a cleaner experience -- you still won't actually have detailed insight into how the model determines the answer it ultimately displays. This also serves to keep the model's inner workings away from competitors. OpenAI has said almost nothing about how o1 was built, only telling The Verge that it was trained with a "completely new optimization algorithm and a new training dataset." A spokesperson for OpenAI did not immediately respond to a request for comment this afternoon. Despite OpenAI's marketing, then, it is unclear that o1 will provide a massively new experience in ChatGPT so much as an incremental improvement over previous models. But based on the research presented by the company and my own limited testing, it does seem like the outputs are at least somewhat more thorough and reasoned than before, reflecting OpenAI's bet on scale: that bigger AI programs, fed more data and built and run with more computing power, will be better. The more time the company used to train o1, and the more time o1 was given to respond to a question, the better it performed. One result of this lengthy rumination is cost. OpenAI allows programmers to pay to use its technology in their tools, and every word the o1 preview outputs is roughly four times more expensive than for GPT-4o. The advanced computer chips, electricity, and cooling systems powering generative AI are incredibly expensive. The technology is on track to require trillions of dollars of investment from Big Tech, energy companies, and other industries, a spending boom that has some worried that AI might be a bubble akin to crypto or the dot-com era. Expressly designed to require more time, o1 necessarily consumes more resources -- in turn raising the stakes of how soon generative AI can be profitable, if ever. Perhaps the most important consequence of these longer processing times is not technical or financial costs so much as a matter of branding. "Reasoning" models with "chains of thought" that need "more time" do not sound like stuff of computer-science labs, unlike the esoteric language of "transformers" and "diffusion" used for text and image models before. Instead, OpenAI is communicating, plainly and forcefully, a claim to have built software that more closely approximates our minds. Many rivals have taken this tack as well. The start-up Anthropic has described its leading model, Claude, as having "character" and a "mind"; Google touts its AI's "reasoning" capabilities; the AI-search start-up Perplexity says its product "understands you." According to OpenAI's blogs, o1 solves problems "similar to how a human may think," works "like a real software engineer," and reasons "much like a person." The start-up's research lead told The Verge that "there are ways in which it feels more human than prior models," but also insisted that OpenAI doesn't believe in equating its products to our brains. The language of humanity might be especially useful for an industry that can't quite pinpoint what it is selling. Intelligence is capacious and notoriously ill-defined, and the value of a model of "language" is fuzzy at best. The name "GPT" doesn't really communicate anything at all, and although Bob McGrew, the company's chief research officer, told The Verge that o1 is a "first step of newer, more sane names that better convey what we're doing," the distinction between a capitalized acronym and a lowercase letter and number will be lost on many. But to sell human reasoning -- a tool that thinks like you, alongside you -- is different, the stuff of literature instead of a lab. The language is not, of course, clearer than any other AI terminology, and if anything is less precise: Every brain and the mind it supports are entirely different, and broadly likening AI to a human may evince a misunderstanding of humanism. Maybe that indeterminacy is the allure: To say an AI model "thinks" like a person creates a gap that every one of us can fill in, an invitation to imagine a computer that operates like me. Perhaps the trick to selling generative AI is in letting potential customers conjure all the magic themselves.

How good is ChatGPT-o1-Mini at Maths?

If you are interested in learning more about OpenAI's latest language model, ChatGPT-o1-mini, we've got you covered. This new model is 80% cheaper than the larger o1-preview and is specifically optimized for STEM reasoning. Excelling in mathematics, ChatGPT-o1-mini offers a perfect balance of cost-efficiency, speed, and accuracy. ChatGPT-o1-mini performs exceptionally well in math-focused benchmarks, such as the American Invitational Mathematics Examination (AIME), with problem-solving capabilities that rival top US high school students. While it's smaller in scale and offers fewer general knowledge features than its larger counterparts, o1-mini is fine-tuned to be a powerful tool for STEM-related tasks Quick Links: ChatGPT-o1-mini is designed specifically for reasoning-heavy tasks, and it truly shines in mathematics. The model was tested on the American Invitational Mathematics Examination (AIME), where it achieved an impressive 70% accuracy, nearly matching its larger counterpart, o1-preview, which scored 74.4%. With this score, o1-mini places in the top 500 US high-school students, highlighting its potential for use in educational settings, tutoring, and even competitive environments. On complex algebraic equations, geometry, and higher-level math problems, the model consistently performs well, using its chain-of-thought reasoning to break down multi-step problems and solve them efficiently. While larger models like o1-preview may have broader knowledge bases, o1-mini has been fine-tuned to maximize accuracy in math-specific contexts, allowing it to handle problems of varying difficulty with ease. One of the key features that makes ChatGPT-o1-mini so effective in mathematics is its advanced reasoning capability. The model uses a chain-of-thought process to tackle challenging problems step-by-step. This approach allows o1-mini to process multiple layers of complexity, from simple arithmetic to intricate calculus and combinatorics problems. For example, when faced with a complex geometry problem, the model doesn't just rely on memorized formulas; it methodically breaks down the problem into its core components, analyzing angles, lengths, and relationships before arriving at a solution. This reasoning methodology is particularly effective in math, where careful consideration of each step can make the difference between a correct and incorrect answer. In addition to its high level of accuracy, o1-mini is optimized for speed and computational efficiency. It processes mathematical problems 3-5 times faster than its larger counterpart, o1-preview, making it an ideal choice for users who need quick responses in real-time applications such as online tutoring, interactive problem-solving, or classroom settings. This increase in speed does not come at the expense of quality, as o1-mini maintains a competitive accuracy rate in math tasks. By focusing on reasoning-heavy tasks and minimizing its need for broad world knowledge, o1-mini achieves a significant boost in performance for its intended use cases. When comparing ChatGPT-o1-mini with larger models like o1-preview or even GPT-4o, the distinctions become clear. While the larger models have the advantage of general knowledge across various domains, o1-mini is highly specialized in math and STEM fields. Its streamlined structure allows it to compete effectively in areas like coding and mathematical problem-solving, even outperforming GPT-4o in these specific domains. In terms of coding benchmarks, o1-mini continues to impress with its performance on platforms like Codeforces, where it achieved an Elo rating of 1650, placing it in the 86th percentile of competitive programmers. Its ability to handle both mathematical and programming challenges makes it versatile for STEM-focused tasks. However, in non-STEM areas like history, literature, or broad trivia, o1-mini is less effective than its larger counterparts, as it lacks the general world knowledge they possess. This trade-off makes o1-mini highly efficient for its intended purpose -- math and reasoning -- while keeping costs low for users who don't require broader capabilities. In summary, ChatGPT-o1-mini offers a robust, efficient solution for math-related tasks. It is well-suited for educational, competitive, and professional environments that prioritize STEM reasoning over general world knowledge. With its chain-of-thought reasoning, fast processing times, and strong performance in math benchmarks, o1-mini demonstrates that a smaller, cost-efficient model can still deliver top-tier results in its specialized domain. For users looking for an AI model that excels at mathematics without breaking the bank, ChatGPT-o1-mini is an excellent choice. Whether it's for competitive math training, real-time problem-solving, or simply improving efficiency in tackling complex mathematical tasks, this model offers the right balance of accuracy, speed, and affordability.

OpenAI's new o1 models push AI to PhD-level intelligence

OpenAI introduced on Thursday OpenAI o1, a new series of large language models the company says are designed for solving difficult problems and working though complex tasks. The models were trained to take longer to perform tasks than other AI models, thinking through problems in ways a human might. They can "refine their thinking process, try different strategies, and recognize their mistakes, OpenAI says in a press release. The models perform similarly to PhD students when working on physics, chemistry, and biology problems. The o1 models scored 83% on a qualifying exam for the International Mathematics Olympiad, OpenAI says, while its earlier GPT-4o model correctly solved only 13% of problems. OpenAI provided some specific use case examples. The o1 models could be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers to build and execute multi-step workflows. They also perform well in math and coding.