Everything about OpenAI's o1 and o1-mini

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OpenAI Unveils Advanced AI Models: o1 and o1-mini

OpenAI has recently introduced two groundbreaking AI models, o1 and its more cost-efficient counterpart, o1-mini, marking a significant leap in the field of artificial intelligence. These models are designed to enhance reasoning capabilities, particularly in complex tasks such as science, coding, and mathematics.

The o1 Model: A New Era in AI Reasoning

The o1 model, initially previewed under the code name "Strawberry," represents a shift from merely scaling up model sizes to enhancing the model's reasoning capabilities. Unlike traditional large language models (LLMs) that generate answers in one step, o1 employs a "chain of thought" process, reasoning through problems step-by-step, akin to human logical thinking. This approach allows the model to solve complex problems that stump existing models, including advanced math and science questions.

The o1 model has demonstrated significant improvements in performance, scoring 83% on an International Mathematics Olympiad qualifying exam and reaching the 89th percentile in Codeforces coding competitions. It also places among the top 500 in the USA Math Olympiad qualifier (AIME) and surpasses human PhD-level accuracy on a benchmark of physics, biology, and chemistry problems (GPQA). Evaluations show o1's superior performance on challenging benchmarks, including a 74% average score on the 2024 AIME exams and surpassing PhD experts on GPQA-diamond questions.

Safety and Governance

Safety has been a priority in the development of the o1 model. OpenAI has implemented new training approaches that enable the model to better adhere to safety guidelines, evidenced by a high score of 84 in jailbreaking resistance tests. The company has strengthened its safety protocols and governance, collaborating with U.S. and U.K. AI Safety Institutes to ensure rigorous testing and evaluation.

The o1-mini Model: Cost-Efficient Reasoning

Alongside the o1 model, OpenAI has introduced o1-mini, a cost-efficient reasoning model optimized for STEM tasks. Despite being smaller and cheaper—80% less expensive than the o1-preview—o1-mini nearly matches the performance of the larger o1 on benchmarks like AIME and Codeforces. Trained with the same high-compute reinforcement learning pipeline as o1, o1-mini achieves comparable results in reasoning tasks but underperforms in non-STEM factual knowledge.

In evaluations, o1-mini scored competitively in high school math competitions and coding challenges, outperforming o1-preview and closely trailing o1. It also excelled in academic benchmarks like GPQA and MATH-500 but lagged in broader knowledge tasks. Human raters preferred o1-mini over GPT-4o in reasoning-heavy domains, though it was less favored in language-focused areas. Notably, o1-mini provided correct answers to reasoning questions faster than both GPT-4o and o1-preview.

Integration and Future Plans

OpenAI plans to integrate the o1 model into its next major model, GPT-5, combining both scaling and advanced reasoning paradigms. This new approach not only aims to enhance AI capabilities but also to make AI development more cost-effective, addressing challenges like hallucination and factuality in AI outputs.

Initially available to ChatGPT Plus, Team, Enterprise, and Edu users, the o1 model's API access is costly, reflecting its advanced features. OpenAI envisions this model as a precursor to autonomous systems capable of decision-making, emphasizing that reasoning is crucial for achieving human-level intelligence.

Conclusion

The introduction of the o1 and o1-mini models marks a significant step towards human-like artificial intelligence. By focusing on reasoning capabilities and employing a "chain of thought" process, these models are poised to tackle complex problems in science, coding, and mathematics more effectively than ever before. As OpenAI continues to advance AI research, the development of these models underscores its commitment to achieving significant breakthroughs in various fields.

References

OPEN AI: Introducing o1

OpenAI has introduced a new series of AI models, starting with the o1-preview, designed to enhance reasoning capabilities for complex tasks in science, coding, and math. These models spend more time thinking through problems, akin to human reasoning, and have shown significant improvements in performance, such as scoring 83% on an International Mathematics Olympiad qualifying exam and reaching the 89th percentile in Codeforces coding competitions. Although the early model lacks some features like web browsing and file uploads, it excels in complex reasoning tasks. Safety has been a priority, with new training approaches enabling the model to better adhere to safety guidelines, evidenced by a high score of 84 in jailbreaking resistance tests. OpenAI has strengthened its safety protocols and governance, collaborating with U.S. and U.K. AI Safety Institutes to ensure rigorous testing and evaluation. The o1 model is particularly beneficial for professionals in fields requiring advanced problem-solving, such as healthcare research, quantum physics, and software development.

OPEN AI: Learning to Reason with LLMs

OpenAI has introduced o1, a new large language model designed to perform complex reasoning through reinforcement learning, enabling it to generate a detailed internal chain of thought before responding. This model ranks in the 89th percentile on Codeforces programming questions, places among the top 500 in the USA Math Olympiad qualifier (AIME), and surpasses human PhD-level accuracy on a benchmark of physics, biology, and chemistry problems (GPQA). The model's performance improves with increased training and test-time compute, and it significantly outperforms its predecessor, GPT-4o, on various reasoning-heavy tasks. Evaluations show o1's superior performance on challenging benchmarks, including a 74% average score on the 2024 AIME exams and surpassing PhD experts on GPQA-diamond questions. The model also excels in vision perception tasks, scoring 78.2% on MMMU, and outperforms GPT-4o on 54 out of 57 MMLU subcategories. o1's ability to think productively is enhanced through reinforcement learning, allowing it to refine its problem-solving strategies, recognize and correct mistakes, and break down complex steps, showcasing a significant advancement in reasoning capabilities.

OPEN AI: Introducing o1-mini - advancing cost-efficient reasoning.

OpenAI has introduced o1-mini, a cost-efficient reasoning model optimized for STEM tasks, particularly excelling in math and coding. Despite being smaller and cheaper—80% less expensive than OpenAI o1-preview—o1-mini nearly matches the performance of the larger OpenAI o1 on benchmarks like AIME and Codeforces. Available to tier 5 API users and various ChatGPT plans, o1-mini offers higher rate limits and lower latency. Trained with the same high-compute reinforcement learning pipeline as o1, o1-mini achieves comparable results in reasoning tasks but underperforms in non-STEM factual knowledge. In evaluations, o1-mini scored competitively in high school math competitions and coding challenges, outperforming o1-preview and closely trailing o1. It also excelled in academic benchmarks like GPQA and MATH-500 but lagged in broader knowledge tasks. Human raters preferred o1-mini over GPT-4o in reasoning-heavy domains, though it was less favored in language-focused areas. Notably, o1-mini provided correct answers to reasoning questions faster than both GPT-4o and o1-preview.

WIRED: OpenAI Announces a New AI Model, Code-Named Strawberry, That Solves Difficult Problems Step by Step

OpenAI has introduced a new AI model, OpenAI o1, which represents a significant shift from merely scaling up model sizes, as seen with GPT-4, to enhancing the model's reasoning capabilities. Unlike traditional large language models (LLMs) that generate answers in one step, OpenAI o1 reasons through problems step-by-step, akin to human logical thinking. This new approach, which uses reinforcement learning to improve its reasoning process, allows the model to solve complex problems that stump existing models, including advanced math and science questions. Demonstrations showed that OpenAI o1 significantly outperforms GPT-4o in various problem sets, including coding and the American Invitational Mathematics Examination. However, it is slower and lacks multimodal capabilities like web searching and image parsing. The development of OpenAI o1 aligns with broader research trends, such as Google's AlphaProof, which also combines language models with reinforcement learning. Experts highlight the importance of understanding how these models arrive at decisions, especially as they become more integrated into decision-making processes affecting many people. OpenAI plans to integrate this reasoning technology into its next major model, GPT-5, combining both scaling and advanced reasoning paradigms. This new approach not only aims to enhance AI capabilities but also to make AI development more cost-effective, addressing challenges like hallucination and factuality in AI outputs.

THE VERGE: OpenAI releases o1, its first model with ‘reasoning’ abilities

OpenAI has introduced a new model, o1, and its smaller, more affordable counterpart, o1-mini, marking a significant step towards human-like artificial intelligence. Unlike previous models, o1 is designed to solve complex problems, such as coding and math, using a novel training method involving reinforcement learning and a "chain of thought" process. This approach aims to enhance accuracy and reduce hallucinations, although the issue persists. Despite its advanced capabilities in reasoning and problem-solving, o1 is slower and more expensive than GPT-4o, and lacks certain functionalities like web browsing and image processing. Initially available to ChatGPT Plus, Team, Enterprise, and Edu users, o1's API access is costly, reflecting its advanced features. OpenAI envisions this model as a precursor to autonomous systems capable of decision-making, emphasizing that reasoning is crucial for achieving human-level intelligence. The model's interface mimics human-like thought processes, creating an illusion of thinking, which OpenAI believes helps users understand its deeper problem-solving capabilities. As OpenAI seeks further funding, the development of o1 underscores its commitment to advancing AI research and achieving significant breakthroughs in various fields.

AXIOS: OpenAI releases "Strawberry" model with better reasoning

OpenAI has introduced a new model named OpenAI o1, previously code-named Strawberry, which is designed to evaluate its steps before responding, enhancing its performance in complex math, science, and coding tasks. This model, which includes a lightweight version called o1-mini for code generation, will be integrated into ChatGPT alongside existing models like GPT-4o. OpenAI o1 is being rolled out in stages, with limited access initially provided to ChatGPT Plus, Team users, and later to educational and enterprise customers. Despite its advantages, such as improved problem-solving and adherence to safety guidelines, the model has limitations, including longer response times, text-only output, and weekly message rate limits. OpenAI claims that o1 performs comparably to PhD students in challenging tasks and significantly better than previous models in math competitions. The model has been rated "medium risk" in terms of safety, as it doesn't introduce new risks beyond existing capabilities. OpenAI is also developing a larger version of GPT-4, continuing its efforts to advance AI technology.

SILICON ANGLE: OpenAI’s most advanced AI model Strawberry to launch earlier than planned

OpenAI's new AI model, Strawberry, is anticipated to launch within the next two weeks, earlier than its originally planned fall release, according to a report by The Information. Strawberry distinguishes itself from other generative AI models by focusing on reasoning, taking 10 to 20 seconds to respond to queries to reduce errors and improve complex task performance, such as solving math problems, coding, and creating business plans. Integrated within ChatGPT as a standalone option, Strawberry may feature a unique pricing model with hourly message limits and a higher-priced tier for faster responses. Despite its advanced reasoning capabilities, Strawberry has limitations, including only processing text-based queries at launch and sometimes taking too long for simpler questions. Additionally, it struggles with remembering previous conversations for personalized responses. The model's development was a significant factor in OpenAI CEO Sam Altman's brief ouster last year, as some researchers feared its advanced capabilities could hasten the arrival of artificial general intelligence (AGI), raising concerns about unintended consequences. Nonetheless, OpenAI is moving forward with Strawberry, aiming to gain an edge in the competitive AI landscape.

FUTURISM: OpenAI Just Released Its Long-Awaited "Strawberry" Model

OpenAI has unveiled its new AI model, "OpenAI o1-preview," previously code-named "Strawberry," which is designed to spend more time thinking before responding, thereby tackling more complex tasks and harder problems. The model, rumored to be a significant step towards artificial general intelligence, performs comparably to PhD students in challenging academic tasks in physics, chemistry, and biology. However, it is still in an early stage and lacks features like web browsing and file uploads, which are available in GPT-4o. Currently, OpenAI o1 is accessible to ChatGPT Plus and Team users, with a lighter version, o1-mini, planned for free users. Safety has been a priority, with the model scoring significantly higher in jailbreaking tests compared to its predecessor. The model uses a new optimization algorithm and training dataset, and its "chain of thought" process allows it to evaluate multiple answers before selecting the best one, though this can take longer. While it hallucinates less than previous models, it hasn't completely solved this issue. OpenAI's CEO acknowledges that the model is still flawed and limited, and it does not yet amount to artificial general intelligence.

INC.:OpenAI to Reportedly Release the New Strawberry AI Model in the Next 2 Weeks

OpenAI is set to launch its new AI model, codenamed Strawberry, on ChatGPT within the next two weeks, as reported by The Information. Strawberry is designed to solve complex problems by thinking in multiple steps, making it a reasoning model capable of handling intricate tasks such as solving algebra problems and creating detailed marketing campaigns. Unlike OpenAI's flagship model GPT-4o, which can process images and audio, Strawberry will only handle text but is expected to be less prone to errors and hallucinations. However, this comes at the cost of slower response times, taking 10 to 20 seconds per query, and sometimes engaging in deep thinking even for simple requests. Due to its advanced capabilities, Strawberry is anticipated to be more compute-intensive and expensive, with potential rate limits on usage and a higher-priced tier for faster responses.