OpenAI Unveils Advanced ChatGPT with Enhanced Reasoning Capabilities

ChatGPT's new AI thinks like us, and critics warn it comes with some dangers

That's largely because AI doesn't have the understanding of the concepts required to come up with the correct answer unless explicitly trained that way. However, a new model, released Thursday as a preview by OpenAI, does. The chatbot maker says it can "think" more like a human than previous models. And it's about to go mainstream. The latest model, OpenAI 01, is not as quick as other chatbots. This one takes its time. "We've developed a new series of AI models designed to spend more time thinking before they respond, OpenAI said on its website. "They can reason through complex tasks and solve harder problems than previous models in science, coding, and math." The statement continued, explaining that the new models can "refine their thinking process, try different strategies and recognize their mistakes." They learn over time through trial and error, much in the same way that humans do. OpenAI 01, which can build on previous knowledge and keep learning, is primarily useful when it comes to complex math and science problems -- the kind of "thinking" that could be useful for writing advanced code, helping solve the world's climate crisis, or even curing cancer. But, robots that can reason, think, or learn in more human-like ways instantly conjure up worries about just how far AI can go, and at what price.

OpenAI unveils new ChatGPT that can reason through math and science

In a demonstration for The New York Times, Pachocki and Szymon Sidor, an OpenAI technical fellow, showed the chatbot solving an acrostic, a kind of word puzzle that is significantly more complex than an ordinary crossword puzzle. The chatbot also answered a doctorate-level chemistry question and diagnosed an illness based on a detailed report about a patient's symptoms and history.Online chatbots like ChatGPT from OpenAI and Gemini from Google sometimes struggle with simple math problems. The computer code they generate is often buggy and incomplete. From time to time, they even make stuff up. On Thursday, OpenAI unveiled a new version of ChatGPT that could alleviate these flaws. The company said the chatbot, underpinned by new artificial intelligence technology called OpenAI o1, could "reason" through tasks involving math, coding and science. "With previous models like ChatGPT, you ask them a question and they immediately start responding," said Jakub Pachocki, OpenAI's chief scientist. "This model can take its time. It can think through the problem -- in English -- and try to break it down and look for angles in an effort to provide the best answer." In a demonstration for The New York Times, Pachocki and Szymon Sidor, an OpenAI technical fellow, showed the chatbot solving an acrostic, a kind of word puzzle that is significantly more complex than an ordinary crossword puzzle. The chatbot also answered a doctorate-level chemistry question and diagnosed an illness based on a detailed report about a patient's symptoms and history. The new technology is part of a wider effort to build AI that can reason through complex tasks. Companies like Google and Meta are building similar technologies, while Microsoft and its subsidiary GitHub are working to incorporate OpenAI's new system into their products. The goal is to build systems that can carefully and logically solve a problem through a series of discrete steps, each one building on the next, similar to how humans reason. These technologies could be particularly useful to computer programmers who use AI systems to write code. They could also improve automated tutors for math and other subjects. OpenAI said its new technology could also help physicists generate complicated mathematical formulas and assist health care researchers in their experiments. With the debut of ChatGPT in late 2022, OpenAI showed that machines could handle requests more like people, answer questions, write term papers and even generate computer code. But the responses were sometimes flawed. ChatGPT learned its skills by analyzing enormous amounts of text culled from across the internet, including Wikipedia articles, books and chat logs. By pinpointing patterns in all that text, it learned to generate text on its own. (The New York Times sued OpenAI and Microsoft in December for copyright infringement of news content related to AI systems.) Because the internet is filled with untruthful information, the technology learned to repeat the same untruths. Sometimes, it made things up. Pachocki, Sidor and their colleagues have tried to reduce those flaws. They built OpenAI's new system using what is called reinforcement learning. Through this process -- which can extend over weeks or months -- a system can learn behavior through extensive trial and error. By working through various math problems, for instance, it can learn which methods lead to the right answer and which do not. If it repeats this process with an enormously large number of problems, it can identify patterns. But the system cannot necessarily reason like a human. And it can still make mistakes and hallucinate. "It is not going to be perfect," Sidor said. "But you can trust it will work harder and is that much more likely to produce the right answer." Access to the new technology started Thursday for consumers and businesses that subscribe to the company's ChatGPT Plus and ChatGPT Teams services. The company is also selling the technology to software developers and businesses building their own AI applications. OpenAI said the new technology performed better than previous technologies had on certain standardized tests. On the qualifying exam for the International Mathematical Olympiad, or IMO -- the premier math competition for high schoolers -- its previous technology scored 13%. OpenAI o1, the company said, scored 83%. Still, standardized tests are not always a good judge of how technologies will perform in real-world situations, and though the system might be good at a math test question, it could still struggle to teach math. "There is a difference between problem solving and assistance," said Angela Fan, a research scientist at Meta. "New models that reason can solve problems. But that is very different than helping someone through their homework."

OpenAI unveils new ChatGPT that can reason through math and science

SAN FRANCISCO -- Online chatbots like ChatGPT from OpenAI and Gemini from Google sometimes struggle with simple math problems. The computer code they generate is often buggy and incomplete. From time to time, they even make stuff up. On Thursday, OpenAI unveiled a new version of ChatGPT that could alleviate these flaws. The company said the chatbot, underpinned by new artificial intelligence technology called OpenAI o1, could "reason" through tasks involving math, coding and science. "With previous models like ChatGPT, you ask them a question and they immediately start responding," said Jakub Pachocki, OpenAI's chief scientist. "This model can take its time. It can think through the problem -- in English -- and try to break it down and look for angles in an effort to provide the best answer." In a demonstration for The New York Times, Pachocki and Szymon Sidor, an OpenAI technical fellow, showed the chatbot solving an acrostic, a kind of word puzzle that is significantly more complex than an ordinary crossword puzzle. The chatbot also answered a doctorate-level chemistry question and diagnosed an illness based on a detailed report about a patient's symptoms and history. The new technology is part of a wider effort to build AI that can reason through complex tasks. Companies like Google and Meta are building similar technologies, while Microsoft and its subsidiary GitHub are working to incorporate OpenAI's new system into their products. The goal is to build systems that can carefully and logically solve a problem through a series of discrete steps, each one building on the next, similar to how humans reason. These technologies could be particularly useful to computer programmers who use AI systems to write code. They could also improve automated tutors for math and other subjects. OpenAI said its new technology could also help physicists generate complicated mathematical formulas and assist health care researchers in their experiments. With the debut of ChatGPT in late 2022, OpenAI showed that machines could handle requests more like people, answer questions, write term papers and even generate computer code. But the responses were sometimes flawed. ChatGPT learned its skills by analyzing enormous amounts of text culled from across the internet, including Wikipedia articles, books and chat logs. By pinpointing patterns in all that text, it learned to generate text on its own. Because the internet is filled with untruthful information, the technology learned to repeat the same untruths. Sometimes, it made things up. Pachocki, Sidor and their colleagues have tried to reduce those flaws. They built OpenAI's new system using what is called reinforcement learning. Through this process -- which can extend over weeks or months -- a system can learn behavior through extensive trial and error. By working through various math problems, for instance, it can learn which methods lead to the right answer and which do not. If it repeats this process with an enormously large number of problems, it can identify patterns. But the system cannot necessarily reason like a human. And it can still make mistakes and hallucinate. "It is not going to be perfect," Sidor said. "But you can trust it will work harder and is that much more likely to produce the right answer." Consumers and businesses that subscribe to the company's ChatGPT Plus and ChatGPT Teams services will have access to the new technology starting Thursday. The company is also selling the technology to software developers and businesses building their own AI applications. OpenAI said the new technology performed better than previous technologies had on certain standardized tests. On the qualifying exam for the International Mathematical Olympiad, or IMO -- the premier math competition for high schoolers -- its previous technology scored 13%. OpenAI o1, the company said, scored 83%. Still, standardized tests are not always a good judge of how technologies will perform in real-world situations, and though the system might be good at a math test question, it could still struggle to teach math. "There is a difference between problem solving and assistance," said Angela Fan, a research scientist at Meta. "New models that reason can solve problems. But that is very different than helping someone through their homework."

OpenAI Unveils New ChatGPT That Can Reason Through Math and Science

Online chatbots like ChatGPT from OpenAI and Gemini from Google sometimes struggle with simple math problems. The computer code they generate is often buggy and incomplete. From time to time, they even make stuff up. On Thursday, OpenAI unveiled a new version of ChatGPT that could alleviate these flaws. The company said the chatbot, underpinned by new artificial intelligence technology called OpenAI o1, could "reason" through tasks involving math, coding and science. "With previous models like ChatGPT, you ask them a question and they immediately start responding," said Jakub Pachocki, OpenAI's chief scientist. "This model can take its time. It can think through the problem -- in English -- and try to break it down and look for angles in an effort to provide the best answer." In a demonstration for The New York Times, Dr. Pachocki and Szymon Sidor, an OpenAI technical fellow, showed the chatbot solving an acrostic, a kind of word puzzle that is significantly more complex than an ordinary crossword puzzle. The chatbot also answered a Ph.D.-level chemistry question and diagnosed an illness based on a detailed report about a patient's symptoms and history. The new technology is part of a wider effort to build A.I. that can reason through complex tasks. Companies like Google and Meta are building similar technologies, while Microsoft and its subsidiary GitHub are working to incorporate OpenAI's new system into their products.

OpenAI Releases Reasoning AI With Eye On Safety, Accuracy

ChatGPT creator OpenAI on Thursday released a new series of artificial intelligence models designed to spend more time thinking -- in hopes that generative AI chatbots provide more accurate and beneficial responses. The new models, known as OpenAI o1-Preview, are designed to tackle complex tasks and solve more challenging problems in science, coding and mathematics -- something that earlier models have been criticized for failing to provide consistently. Unlike their predecessors, these models have been trained to refine their thinking processes, try different methods and recognize mistakes before they deploy a final answer. The new release comes as OpenAI is raising funds that could see it valued around $150 billion, which would make it one of the world's most valuable private companies, according to US media. Investors include Microsoft and Nvidia, and could also include a $7 billion investment from MGX, a United Arab Emirates-backed investment fund, The Information reported. OpenAI CEO Sam Altman hailed the models as "a new paradigm: AI that can do general-purpose complex reasoning." However, he cautioned that the technology "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's push to improve "thinking" in its model is a response to the persistent problem of "hallucinations" in AI chatbots. This refers to their tendency to generate persuasive but incorrect content that has somewhat cooled the excitement over ChatGPT-style AI features among business customers "We have noticed that this model hallucinates less," OpenAI researcher Jerry Tworek told The Verge. But "we can't say we solved hallucinations," he added. The Microsoft-backed company said that in tests, the models performed comparably to PhD students on difficult tasks in physics, chemistry and biology. They also excelled in mathematics and coding, achieving an 83 percent success rate on a qualifying exam for the International Mathematics Olympiad, compared to 13 percent for GPT-4o, its most advanced general use model. OpenAI said that the new reasoning capabilities could be used for healthcare researchers to annotate cell sequencing data, physicists to generate complex formulas, or computer developers to build and execute multistep designs. The company also said that the models survived rigorous jailbreaking tests and could better withstand attempts to circumvent its guardrails. OpenAI said its strengthened safety measures also included recent agreements with the US and UK AI Safety Institutes, which were granted early access to the models for evaluation and testing.

OpenAI's new AI models that can 'think' are here

OpenAI has released its new series of "reasoning" artificial intelligence models that it claims can "think." The new model series, called OpenAI o1, is "designed to spend more time thinking before they respond," the company said. The models, the first of which are available in preview in ChatGPT and through the company's API, can "reason" through more complex tasks and problems in science, coding, and math than earlier OpenAI models. The company also announced OpenAI o1-mini, a smaller and cheaper version of the new model, which can help developers with coding tasks. Starting on Thursday, ChatGPT Plus and Team users can access both versions of the o1 models through ChatGPT. It will have a weekly rate limit of 30 messages for the o1-preview, and 50 for o1-mini, OpenAI said. Next week, ChatGPT Enterprise and Edu users will gain access to the models. Free users of ChatGPT will eventually get access to o1-mini. The company said it trained the models to take longer to solve problems before responding, "much like a person would." The models were trained "to refine their thinking process, try different strategies, and recognize their mistakes," OpenAI said. Meanwhile, the company released evaluations of the next model update, which it said performed similarly to PhD students in testing on physics, chemistry, and biology tasks. Unlike the current version of ChatGPT, the new model doesn't have some of its "useful" features yet, such as browsing the web, and file and image uploads, the company said. OpenAI also said it developed new safety training measures for o1's reasoning abilities to ensure the models follow its guidelines for safety and alignment. For example, the new model scored higher on one of OpenAI's "hardest jailbreaking tests," compared to its most recent model, GPT-4o. Details about company's new "reasoning models," which were code-named Strawberry, were previously described by The Information and Bloomberg. Meanwhile, the AI startup is talking with investors about raising $6.5 billion at a valuation of $150 billion, Bloomberg reported. It's also reportedly discussing raising $5 billion in debt from banks.

OpenAI releases reasoning AI with eye on safety, accuracy

ChatGPT creator OpenAI on Thursday released a new series of artificial intelligence models designed to spend more time thinking -- in hopes that generative AI chatbots provide more accurate and beneficial responses. The new models, known as OpenAI o1-Preview, are designed to tackle complex tasks and solve more challenging problems in science, coding and mathematics -- something that earlier models have been criticized for failing to provide consistently. Unlike their predecessors, these models have been trained to refine their thinking processes, try different methods and recognize mistakes before they deploy a final answer. The new release comes as OpenAI is raising funds that could see it valued around $150 billion, which would make it one of the world's most valuable private companies, according to US media. Investors include Microsoft and Nvidia, and could also include a $7 billion investment from MGX, a United Arab Emirates-backed investment fund, The Information reported. OpenAI CEO Sam Altman hailed the models as "a new paradigm: AI that can do general-purpose complex reasoning." However, he cautioned that the technology "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's push to improve "thinking" in its model is a response to the persistent problem of "hallucinations" in AI chatbots. This refers to their tendency to generate persuasive but incorrect content that has somewhat cooled the excitement over ChatGPT-style AI features among business customers "We have noticed that this model hallucinates less," OpenAI researcher Jerry Tworek told The Verge. But "we can't say we solved hallucinations," he added. The Microsoft-backed company said that in tests, the models performed comparably to PhD students on difficult tasks in physics, chemistry and biology. They also excelled in mathematics and coding, achieving an 83 percent success rate on a qualifying exam for the International Mathematics Olympiad, compared to 13 percent for GPT-4o, its most advanced general use model. OpenAI said that the new reasoning capabilities could be used for healthcare researchers to annotate cell sequencing data, physicists to generate complex formulas, or computer developers to build and execute multistep designs. The company also said that the models survived rigorous jailbreaking tests and could better withstand attempts to circumvent its guardrails. OpenAI said its strengthened safety measures also included recent agreements with the US and UK AI Safety Institutes, which were granted early access to the models for evaluation and testing.

OpenAI releases reasoning AI with eye on safety, accuracy

SAN FRANCISCO (AFP) - ChatGPT creator OpenAI on Thursday released a new series of artificial intelligence models designed to spend more time thinking - in hopes that generative AI chatbots provide more accurate and beneficial responses. The new models, known as OpenAI o1-Preview, are designed to tackle complex tasks and solve more challenging problems in science, coding and mathematics - something that earlier models have been criticized for failing to provide consistently. Unlike their predecessors, these models have been trained to refine their thinking processes, try different methods and recognise mistakes before they deploy a final answer. The new release comes as OpenAI is raising funds that could see it valued around USD150 billion, which would make it one of the world's most valuable private companies, according to US media. Investors include Microsoft and Nvidia, and could also include a USD7 billion investment from MGX, a United Arab Emirates-backed investment fund, The Information reported. OpenAI CEO Sam Altman hailed the models as "a new paradigm: AI that can do general-purpose complex reasoning." However, he cautioned that the technology "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's push to improve "thinking" in its model is a response to the persistent problem of "hallucinations" in AI chatbots. This refers to their tendency to generate persuasive but incorrect content that has somewhat cooled the excitement over ChatGPT-style AI features among business customers "We have noticed that this model hallucinates less," OpenAI researcher Jerry Tworek told The Verge. But "we can't say we solved hallucinations," he added. The Microsoft-backed company said that in tests, the models performed comparably to PhD students on difficult tasks in physics, chemistry and biology. They also excelled in mathematics and coding, achieving an 83 per cent success rate on a qualifying exam for the International Mathematics Olympiad, compared to 13 per cent for GPT-4o, its most advanced general use model. OpenAI said that the new reasoning capabilities could be used for healthcare researchers to annotate cell sequencing data, physicists to generate complex formulas, or computer developers to build and execute multistep designs. The company also said that the models survived rigorous jailbreaking tests and could better withstand attempts to circumvent its guardrails. OpenAI said its strengthened safety measures also included recent agreements with the US and UK AI Safety Institutes, which were granted early access to the models for evaluation and testing.

OpenAI releases reasoning AI with eye on safety, accuracy

San Francisco (AFP) - ChatGPT creator OpenAI on Thursday released a new series of artificial intelligence models designed to spend more time thinking -- in hopes that generative AI chatbots provide more accurate and beneficial responses. The new models, known as OpenAI o1-Preview, are designed to tackle complex tasks and solve more challenging problems in science, coding and mathematics -- something that earlier models have been criticized for failing to provide consistently. Unlike their predecessors, these models have been trained to refine their thinking processes, try different methods and recognize mistakes before they deploy a final answer. The new release comes as OpenAI is raising funds that could see it valued around $150 billion, which would make it one of the world's most valuable private companies, according to US media. Investors include Microsoft and Nvidia, and could also include a $7 billion investment from MGX, a United Arab Emirates-backed investment fund, The Information reported. OpenAI CEO Sam Altman hailed the models as "a new paradigm: AI that can do general-purpose complex reasoning." However, he cautioned that the technology "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's push to improve "thinking" in its model is a response to the persistent problem of "hallucinations" in AI chatbots. This refers to their tendency to generate persuasive but incorrect content that has somewhat cooled the excitement over ChatGPT-style AI features among business customers "We have noticed that this model hallucinates less," OpenAI researcher Jerry Tworek told The Verge. But "we can't say we solved hallucinations," he added. The Microsoft-backed company said that in tests, the models performed comparably to PhD students on difficult tasks in physics, chemistry and biology. They also excelled in mathematics and coding, achieving an 83 percent success rate on a qualifying exam for the International Mathematics Olympiad, compared to 13 percent for GPT-4o, its most advanced general use model. OpenAI said that the new reasoning capabilities could be used for healthcare researchers to annotate cell sequencing data, physicists to generate complex formulas, or computer developers to build and execute multistep designs. The company also said that the models survived rigorous jailbreaking tests and could better withstand attempts to circumvent its guardrails. OpenAI said its strengthened safety measures also included recent agreements with the US and UK AI Safety Institutes, which were granted early access to the models for evaluation and testing.

OpenAI starts a new era of AI reasoning with ChatGPT o1

Artificial intelligence has taken another massive leap forward with the announcement of OpenAI's OpenAI o1, its first model equipped with "reasoning" abilities, mentioned in the infamous Strawberry model. Dubbed as the highly anticipated "Strawberry" model by the AI community, OpenAI o1 comes with enhanced problem-solving capabilities, offering a more advanced approach to understanding and answering multistep questions. Alongside OpenAI o1, the company has also released ChatGPT o1-mini, a more affordable and smaller version for users who need simpler solutions. This release marks a significant milestone as OpenAI moves closer to its vision of AI systems that can think, reason, and assist in decision-making. What makes OpenAI's new OpenAI o1 special is its ability to handle complex reasoning, setting it apart from previous iterations such as GPT-4o. Unlike earlier models that primarily focused on pattern recognition and mimicking training data, o1 uses reinforcement learning to process problems step-by-step. This methodology, often referred to as "chain of thought" reasoning, enables the model to break down complex queries and deliver accurate, structured answers. One of the most notable aspects of ChatGPT o1 is its ability to explain its reasoning while solving problems. During a demonstration in their blog post, OpenAI's research team showed how ChatGPT o1 processed a math puzzle step-by-step, providing a solution after 30 seconds of deliberation. This process mirrors the way humans work through problems, creating a more intuitive and relatable interaction with the AI. However, OpenAI is quick to clarify that while the model appears to "think," it is not actually conscious or human-like in its cognition. Rather, the interface is designed to give users insight into the model's complex processing pathways. While OpenAI o1 represents a significant advancement, it isn't perfect. OpenAI admits that, despite the improved reasoning capabilities, the model still struggles with hallucinations, a common problem where AI generates incorrect or misleading information. Nonetheless, OpenAI o1 is much better at tasks like writing code, solving mathematical problems, and performing well in competitive environments such as Codeforces programming contests. According to OpenAI, ChatGPT o1 excels in tasks that require complex thought, such as: In fact, during tests, it solved 83 percent of the problems on a qualifying exam for the International Mathematics Olympiad, a significant improvement over GPT-4o's 13 percent success rate. These results suggest that o1 is equipped to handle more advanced tasks than its predecessors, even though it doesn't outperform GPT-4o in areas like general knowledge or language processing. One of the long-term goals for OpenAI is to build autonomous AI systems, or agents, that can make decisions and take actions on behalf of users. The OpenAI o1 model is seen as a key step in that direction. Unlike current models, which rely on predicting word sequences, future AI agents would have the capacity to execute complex tasks autonomously, from research to problem-solving in fields like medicine and engineering. Bob McGrew, OpenAI's chief research officer, emphasized this during the release of ChatGPT o1, stating: "We have been spending many months working on reasoning because we think this is actually the critical breakthrough". McGrew and his team believe that solving reasoning challenges is fundamental to achieving human-like intelligence in AI. The new training methodology behind o1 reflects this focus, as the model has been optimized for tasks that go beyond simple pattern recognition. For those interested in understanding how reasoning could lead to more advanced AI, McGrew's research on AI agents offers fascinating insights. However, there is a cost to these advancements. Developer access to OpenAI o1 comes with a hefty price tag: $15 per 1 million input tokens and $60 per 1 million output tokens. This makes it significantly more expensive than GPT-4o, which costs $5 and $15 for input and output tokens, respectively. For developers working on projects that require extensive reasoning capabilities, the pricing may be a hurdle. That said, OpenAI has positioned ChatGPT o1 as a "preview," emphasizing that this is still an early-stage model, and more refinements are expected in future iterations. The company also plans to roll out ChatGPT o1-mini for free-tier users, though no specific date has been announced yet. This staggered release hints at OpenAI's strategy to gauge user feedback before fully rolling out the model to a wider audience. For those keen to experiment with OpenAI o1 in programming, OpenAI has shared a demo showcasing the model's reasoning capabilities. With ChatGPT o1, OpenAI takes a huge step toward realizing its vision of creating AI systems that can not only answer questions but also reason through complex problems. Though not without its limitations, the model introduces a new way of interacting with AI, one that feels more intuitive and, at times, surprisingly human. By focusing on reasoning, OpenAI is paving the way for future advancements that could have far-reaching implications across industries. As the development of reasoning-based AI progresses, we can expect further innovations in fields like medicine, engineering, and even creative arts. The question now is not whether AI can assist us in solving complex problems but how far we can push the limits of its capabilities.

OpenAI launches AI models it says are capable of reasoning

OpenAI will launch an AI product it claims is capable of reasoning, allowing it to solve hard problems in maths, coding and science in a critical step towards achieving humanlike cognition in machines. The AI models, known as o1, are touted as a sign of the progression of technological capabilities over the past few years as companies race to create ever more sophisticated AI systems. In particular, there is a fresh scramble under way among tech groups, including Google DeepMind, OpenAI and Anthropic, to create software that can act independently as so-called agents -- personalised bots that are supposed to help people work, create or communicate better and interface with the digital world. According to OpenAI, the models will be integrated into ChatGPT Plus starting on Thursday. They are designed to be useful for scientists and developers, rather than general users. The company said the o1 models far outperformed existing models such as GPT-4o in a qualifying exam for the International Mathematics Olympiad, where it scored 83 per cent compared with 13 per cent for the latter. Teaching computer software to conduct step-by-step reasoning and plan ahead are important milestones in inventing artificial general intelligence -- machines with humanlike cognitive capabilities -- according to experts in the field. If AI systems were to demonstrate genuine reasoning, it would enable "consistency of facts, arguments and conclusions made by the AI, [and] advances in agency and autonomy of AI, probably the main obstacles to AGI", said Yoshua Bengio, a computer scientist at the University of Montreal who has won of the prestigious Turing Award. There has been steady progress in this area with models such as GPT, Gemini and Claude exhibiting some nascent reasoning capabilities, according to Bengio. But the scientific consensus is that AI systems fall short of true general-purpose reasoning. "The right way to assess the advances is to have independent evaluations by scientists and academics, without conflicts of interest," he added. Gary Marcus, cognitive science professor at New York University, and author of Taming Silicon Valley, warned: "We have seen claims about reasoning over and over that have fallen apart upon careful, patient inspection by the scientific community, so I would view any new claims with scepticism." Bengio also pointed out that software with more advanced capabilities posed an increased risk of misuse in the hands of bad actors. OpenAI said it had "bolstered" its safety tests to match the advances, including providing the independent UK and US AI safety institutes early access to a research version of this model. In the coming years, advances in this area will drive AI progress forward, according to technologists. According to Aidan Gomez, chief executive of AI start-up Cohere and one of the Google researchers who helped build the transformer technology that underpins chatbots such as ChatGPT, teaching models to work through problems has shown "dramatic" improvements in their capabilities. Speaking at a Financial Times event on Saturday, he said: "It's also considerably more expensive, because you're spending a lot of compute planning and thinking and reasoning before actually giving an answer. So models are becoming more expensive in that dimension, but dramatically better at problem solving."

OpenAI Announces a Model That 'Reasons' Through Problems, Calling It a 'New Paradigm'

OpenAI made the last big breakthrough in artificial intelligence by increasing the size of its models to dizzying proportions, when it introduced GPT-4 last year. The company today announced a new advance that signals a shift in approach -- a model that can "reason" logically through many difficult problems and is significantly smarter than existing AI without a major scale-up. The new model, dubbed OpenAI-o1, can solve problems that stump existing AI models, including OpenAI's most powerful existing model, GPT-4o. Rather than summon up an answer in one step, as a large language model normally does, it reasons through the problem, effectively thinking out loud as a person might, before arriving at the right result. "This is what we consider the new paradigm in these models," Mira Murati, OpenAI's chief technology officer, tells WIRED. "It is much better at tackling very complex reasoning tasks." The new model was code-named Strawberry within OpenAI, and it is not a successor to GPT-4o but rather a complement to it, the company says. Murati says that OpenAI is currently building its next master model, GPT-5, which will be considerably larger than its predecessor. But while the company still believes that scale will help wring new abilities out of AI, GPT-5 is likely to also include the reasoning technology introduced today. "There are two paradigms," Murati says. "The scaling paradigm and this new paradigm. We expect that we will bring them together." LLMs typically conjure their answers from huge neural networks fed vast quantities of training data. They can exhibit remarkable linguistic and logical abilities, but traditionally struggle with surprisingly simple problems such as rudimentary math questions that involve reasoning. Murati says OpenAI-o1 uses reinforcement learning, which involves giving a model positive feedback when it gets answers right and negative feedback when it does not, in order to improve its reasoning process. "The model sharpens its thinking and fine tunes the strategies that it uses to get to the answer," she says. Reinforcement learning has enabled computers to play games with superhuman skill and do useful tasks like designing computer chips. The technique is also a key ingredient for turning an LLM into a useful and well-behaved chatbot. Mark Chen, vice president of research at OpenAI, demonstrated the new model to WIRED, using it to solve several problems that its prior model, GPT-4o, cannot. These included an advanced chemistry question and the following mind-bending mathematical puzzle: "A princess is as old as the prince will be when the princess is twice as old as the prince was when the princess's age was half the sum of their present age. What is the age of the prince and princess?" (The correct answer is that the prince is 30, and the princess is 40). "The [new] model is learning to think for itself, rather than kind of trying to imitate the way humans would think," as a conventional LLM does, Chen says. OpenAI says its new model performs markedly better on a number of problem sets, including ones focused on coding, math, physics, biology, and chemistry. On the American Invitational Mathematics Examination (AIME), a test for math students, GPT-4o solved on average 12 percent of the problems while o1 got 83 percent right, according to the company.

OpenAI presents new series of AI models with 'reasoning' abilities

Microsoft-backed OpenAI said on Thursday it was launching a series of AI models designed to spend more time processing to solve hard problems. The models, dubbed o1 and o1-mini, can reason through complex tasks and solve harder problems than previous models in science, coding and math, the AI firm said. Click here to connect with us on WhatsApp The o1 will be available in ChatGPT and its API starting Thursday. "We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes," OpenAI said. (Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.) Also Read OpenAI fundraising set to catapult startup's valuation to $150 billion OpenAI plans to release 'Strawberry' for ChatGPT in 2 weeks: Report OpenAI hits more than 1 million paid users across its business products OpenAI latest funding tempts 3 most valuable technology companies OpenAI's ChatGPT growth continues: 200 million weekly users and counting

OpenAI launches new series of AI models with 'reasoning' abilities

Sept 12 (Reuters) - Microsoft-backed (MSFT.O), opens new tab OpenAI said on Thursday it was launching a series of AI models designed to spend more time processing to solve hard problems. The models, dubbed o1 and o1-mini, can reason through complex tasks and solve harder problems than previous models in science, coding and math, the AI firm said. The o1 will be available in ChatGPT and its API starting Thursday. "We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes," OpenAI said. Reporting by Akash Sriram in Bengaluru; Editing by Alan Barona Our Standards: The Thomson Reuters Trust Principles., opens new tab

OpenAI unveils new series of AI models with 'reasoning' abilities (NASDAQ:MSFT)

Microsoft-backed (NASDAQ:MSFT) OpenAI has introduced a new series of AI models designed for solving harder problems. Called o1 and o1-mini, these new models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. "We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes," the company said. OpenAI o1 is a new large language model trained with reinforcement learning to perform complex reasoning. An early version of this model, OpenAI o1-preview, will be available for immediate use in ChatGPT and to trusted API users. OpenAI o1-mini is a faster, cheaper reasoning model that is particularly effective at coding. "As a smaller model, o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge." ChatGPT Plus and Team users will be able to access o1 models in ChatGPT starting today. Both o1-preview and o1-mini can be selected manually in the model picker, and at launch, weekly rate limits will be 30 messages for o1-preview and 50 for o1-mini. The company said it is working to increase those rates and enable ChatGPT to automatically choose the right model for a given prompt.