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OpenAI recently released its latest o3 and o4-mini AI models, which achieve state-of-the-art performance in many areas. However, these new models have not improved upon the issue of 'hallucinations,' exhibiting even more severe instances than previous OpenAI models. 'Hallucinations,' the generation of factually incorrect information by AI models, remain one of the most challenging problems in AI today. Previous generations of models showed improvements in reducing hallucinations; however, o3 and o4-mini have not.

OpenAI's recently released o3 AI model has sparked controversy over its benchmark test performance. While OpenAI confidently claimed in December that the model could correctly answer over a quarter of the highly challenging FrontierMath math problems, this assertion starkly contrasts with recent independent test results. The Epoch Institute's independent testing revealed the model achieved only a 10% success rate, significantly lower than advertised.

With advancements in AI technology, OpenAI recently launched its latest inference models—o3 and o4-mini. These new models are not only more powerful in text understanding but also possess image reasoning capabilities, quickly becoming user favorites. According to TechCrunch, more users are leveraging ChatGPT to pinpoint the exact location where photos were taken, a phenomenon sparking widespread attention on social media. The o3 and o4-mini models offer powerful...

OpenAI recently launched a new system designed to monitor its latest AI reasoning models, o3 and o4-mini, to block prompts related to biological and chemical threats. The system aims to prevent the models from providing suggestions that could incite harmful attacks, ensuring AI safety. OpenAI states that o3 and o4-mini exhibit significantly improved capabilities compared to previous models, thus potentially posing new risks in the hands of malicious users. According to OpenAI's internal benchmarks, o3...

OpenAI recently unveiled its latest AI model, o3, marking a significant advancement in AI's ability to understand and analyze images, particularly low-quality sketches and diagrams. Alongside o3, a smaller version, o4-mini, was also released, expanding OpenAI's offerings. The core functionality of the o3 model lies in its ability to 'think with images,' allowing users to upload diverse images, such as whiteboard sketches and complex charts, for in-depth AI analysis and discussion.

OpenAI recently released its latest reasoning models, o3 and o4-mini, marking a significant breakthrough in the field of artificial intelligence. These models not only surpass previous versions in reasoning capabilities but also achieve image reasoning for the first time, integrating visual information directly into the thinking process. o3, hailed as a "genius-level" model, particularly excels in tasks such as programming and mathematics, achieving an accuracy rate of 87.5%. The newly released o3 and o4-mini models demonstrate exceptional performance in multimodal processing, possessing...

During a technical livestream at 1 AM today, OpenAI officially launched its latest and most powerful multimodal models: o4-mini and the full-power o3. These models offer unique advantages, capable of processing text, images, and audio simultaneously. They also function as agents, automatically utilizing tools such as web search, image generation, and code parsing. Furthermore, they possess a deep thinking mode, enabling reasoning about images within a chain of thought.

DeepCoder-14B, a newly released open-source AI coding tool, demonstrates performance comparable to leading models like o1 and o3-mini, pushing the boundaries of what's possible in AI-assisted software development.

The Arc Prize Foundation, responsible for maintaining and managing the competition, last week revised its cost estimate for OpenAI's upcoming o3 inference AI model with a staggering adjustment—from an initial estimate of $3,000 per ARC-AGI task to $30,000. This price correction reveals that the operational costs of today's most complex AI models may be ten times higher than previously anticipated. While OpenAI has yet to announce an official pricing strategy for o3, or even officially release the model, the Arc Prize...

Quora recently introduced a new feature on its AI platform, Poe, enabling users to build custom AI applications. Called "Poe Apps," this feature allows users to create visual interfaces on the Poe platform with simple descriptions. Users can select different AI models to realize their application ideas. In the newly launched app creation tool, users simply describe the app they want to create, specifying the AI model to be used, such as OpenAI's.

OpenAI recently announced the expansion of its Deep Research feature to all ChatGPT Plus, Team, Education, and Enterprise users. Considered by many experts as the most transformative AI assistant since ChatGPT itself, this feature grants users 10 queries per month, with Pro users receiving 120. Deep Research leverages Op...

OpenAI recently announced the detailed inference process of its latest inference model, o3-mini, which is seen as a response to the increasing pressure from competitors like DeepSeek-R1. This change marks a significant shift in OpenAI's strategy towards model transparency. Previously, OpenAI regarded the 'Chain of Thought' (CoT) as a core competitive advantage and chose to keep it concealed. However, with open models like DeepSeek-R1 fully showing their inference paths, this has led to a reevaluation.

Recently, OpenAI made significant updates after launching its flagship AI models o3 and o3-mini, altering the way o3-mini responds. Now, this model not only answers users' questions but also showcases its thought process, providing greater transparency to users. This change marks an important step for OpenAI in enhancing user experience, making the use of AI tools more human-centered. The updated o3-mini, especially in 'high reasoning' mode.

Recently, OpenAI's CEO Sam Altman announced that the new reasoning AI model o3-mini will soon be officially launched for ChatGPT users, including both free and paid users. This new model is the successor to the o1 reasoning model and has been continuously optimized since its internal beta testing began last December, aiming to provide users with a more efficient, user-friendly, and cost-effective advanced reasoning AI service. The o3-mini model has made significant progress in fine-tuning for specific tasks, enabling it to handle various complex problems more effectively.

The recently launched o3AI model by OpenAI is considered its most powerful artificial intelligence product, but the running costs are staggering, with a single task costing over $1000. According to TechCrunch reports, this new model uses a technique called 'test-time computation' when handling complex problems, meaning it spends more time thinking and exploring multiple possibilities before arriving at an answer. As a result, OpenAI engineers hope that o3 can generate higher quality responses under complex prompts.